JP4918220B2 - Bridge maintenance management support system - Google Patents

Description

  The present invention relates to a technical field for diagnosing deterioration of a structure constituting a bridge and developing an appropriate maintenance management plan based on the diagnosis result.

  Today, we detect early deterioration of structures that make up bridges, etc., determine the timing and method of effective repair and reinforcement, prevent damage from deterioration, and even calculate costs for them. The need for support systems is increasing.

  Conventionally, a bridge maintenance management support system (Bridge Management System (hereinafter referred to as BMS)) capable of comprehensive bridge maintenance has been proposed. For example, some have a deterioration diagnosis function, a deterioration prediction function, a maintenance plan function, and a maintenance plan optimization function.

According to Patent Document 1, there is a system that discovers deterioration of a concrete structure at an early stage, stores inspection data, and estimates the cause of deterioration through diagnosis by simple visual inspection.
Specifically, by preparing a sample of a damaged photograph, data necessary for determining the degree of deterioration is stored, and knowledge is assisted in inspection. There has also been proposed a system that reduces the enormous amount of time and labor required for tabulating and analyzing inspection results and estimating the cause of concrete deterioration from the inspection results.

  Patent Document 2 proposes a structure technical information network system that widely provides technical information appropriate for maintenance of bridges and other structures, and an apparatus for storing the content file.

  For example, even if there is no appropriate and necessary specialized knowledge for the maintenance of structures such as bridges, the necessary advice is provided in a timely manner. Various types of information can be obtained.

  The necessary and sufficient technical information is publicly disclosed to the public as a specialized market related to the maintenance of structures, so that necessary and sufficient maintenance can be timed at an appropriate time and cost without imposing a heavy burden on the structure manager. A system concept to maintain well is proposed.

Further, according to Patent Document 3, a bridge maintenance management system and a maintenance management method that shorten the time required by effectively using the capabilities of individual inspection engineers and enable quick and appropriate maintenance management at the time of inspection. Is provided.
JP 2001-349887 A Japanese Patent No. 3194469 JP 2001-216390 A

  However, in the conventional BMS, there has been no study on a method for digitizing deterioration of a structure and specifying a deformation grade based on the numerical value. In addition, when making a plan for repairing a deteriorated part of a bridge structure, we propose what kind of maintenance plan is possible, and make a new maintenance plan based on that proposal. I never thought of it.

In addition, the deterioration prediction based on the deterioration of various bridges was performed, and the deterioration prediction patterns were compared, and the most efficient and low cost pattern could not be easily selected.
In the description of Patent Document 1, regarding each deterioration mechanism, whether or not there is deterioration is determined by taking a photograph of a local structure with a photograph or the like, and at the same time, the probability is determined by fuzzy theory. There is a problem that you can only grasp about.

In the description of Patent Document 2, although the accuracy of the inspection can be ensured regardless of the skill level of the worker at the time of inspection, the deformation of the structure after the inspection is not described.
In the description of Patent Document 3, when managing bridges and the like, the necessary information is presented to the client in a timely manner, so that the maintenance of the structure is realized efficiently and at a low cost. It doesn't present the information you thought about.

  The present invention has been made in view of the above circumstances, and predicts the progress of deformation over time by representing bridge deformation at an appropriate level. Furthermore, it aims at providing the maintenance management of a bridge at low cost by presenting the optimal combination of repair and reinforcement based on the prediction result.

  According to the first aspect of the present invention, in the bridge maintenance management support system for providing information related to the bridge, the deterioration mechanism of the members constituting the bridge is expressed by dividing it into a plurality of ranks of deformation grades. A condition standard is commonly provided for each of the deterioration mechanisms, the deformation standard is numerically expressed for each of the deterioration mechanisms to be a threshold value for each of the deformation grades, and a deterioration prediction value is calculated by a deterioration prediction formula corresponding to each of the deterioration mechanisms. Based on the cost of countermeasures and the year of countermeasure effectiveness, select the degradation prediction means that predicts the deformation grade of the degradation mechanism by comparing the predicted degradation value with the threshold value, and the repair and reinforcement method corresponding to the deformation grade. The repair and reinforcement cost calculation means for calculating the repair and reinforcement cost, and the repair and reinforcement cost counting means for counting and outputting the results calculated by the repair and reinforcement cost calculation means are provided.

According to the invention described in claim 2, the deterioration mechanism has at least one of neutralization, salt damage, fatigue, frost damage, chemical erosion, and alkali aggregate reaction.
According to a third aspect of the present invention, the deterioration predicting means displays the deformation grade of the deterioration prediction period for each time to create a deterioration curve.

According to a fourth aspect of the present invention, the deterioration predicting means is configured to reflect the effect of repair reinforcement for each deterioration mechanism in the deformed grade when there is a repair history.
According to the invention described in claim 5, when the deterioration curve has a repair history in the deterioration prediction period, the deformation grade is recovered at the time of repair by the effect of repair reinforcement, and the repair history is in the deterioration prediction period. In the absence period, the deterioration curve is corrected by translating the deterioration curve by the recovered effect.

  According to the sixth aspect of the present invention, the deterioration curve is configured to reflect one of a correction based on an already predicted deterioration prediction, a correction based on an actual measurement value, and a correction based on an inspection on the deterioration curve.

According to the invention described in claim 7, the deterioration curve is configured to reflect the deformed grade in the deterioration curve based on a plurality of inspection data and inspection time.
According to an eighth aspect of the present invention, the repair / reinforcement cost calculating means proposes a repair / reinforcement scenario by predicting and calculating the execution of repair / reinforcement based on the deformation grade.

According to the invention described in claim 9, the repair / reinforcement scenario is configured to propose a plurality of repair / reinforcement scenarios by changing the execution time of the repair / reinforcement based on the deformation grade. According to the described invention, the repair / reinforcement cost calculation means automatically determines that the cost is changed and set according to the work environment condition of the construction site.

According to the eleventh aspect of the present invention, the cost is automatically determined when there is an intersection on the bridge as the work environment condition.
According to the twelfth aspect of the present invention, when the repair / reinforcement scenario is corrected, an individual setting or a group setting for correcting a plurality of bridges at once is selected.

According to a thirteenth aspect of the present invention, the counting means displays data relating to the bridge together with at least one of the deterioration prediction result and the repair / reinforcement result.
According to the fourteenth aspect of the present invention, in the bridge maintenance management support method for providing information related to the bridge, the deterioration mechanism of the members constituting the bridge is expressed by dividing it into a plurality of ranks of deformation grades. A condition standard is commonly provided for each of the deterioration mechanisms, the deformation standard is numerically expressed for each of the deterioration mechanisms to be a threshold value for each of the deformation grades, and a deterioration prediction value is calculated by a deterioration prediction formula corresponding to each of the deterioration mechanisms. Calculate, compare the predicted deterioration value with the threshold value, predict the deformation grade of the deterioration mechanism, select the repair and reinforcement method corresponding to the deformation grade based on the cost of the countermeasure and the year of the countermeasure effect, and repair and repair costs And calculating and outputting the results calculated by the repair and reinforcement cost calculation means.

  According to the invention described in claim 15, a program for causing a computer to execute bridge maintenance management plan support, wherein the deterioration mechanism of the members constituting the bridge is expressed by being divided into deformation grades of a plurality of ranks. Deformation criteria are provided in common for each of the deterioration mechanisms, the deformation criteria are numerically expressed for each of the deterioration mechanisms and set as threshold values for the respective deformation grades, and a deterioration prediction value is obtained by a deterioration prediction formula corresponding to each of the deterioration mechanisms. Select the deterioration prediction function that predicts the above-mentioned deformation grade of the deterioration mechanism and the repair / reinforcement method corresponding to the above-mentioned deformation grade based on the countermeasure cost and the year of the countermeasure effect. The computer has a repair / repair cost calculation function for calculating repair / repair costs and a repair / recovery cost calculation function that calculates and outputs the results calculated by the repair / repair cost calculation means. It is a program for.

  According to the sixteenth aspect of the present invention, in the bridge maintenance management support system for providing information related to the bridge, the deterioration mechanism of the members constituting the bridge is expressed by dividing it into a plurality of ranks of deformation grades. A condition standard is commonly provided for each of the deterioration mechanisms, the deformation standard is numerically expressed for each of the deterioration mechanisms to be a threshold value for each of the deformation grades, and a deterioration prediction value is calculated by a deterioration prediction formula corresponding to each of the deterioration mechanisms. The calculated deterioration grade is compared with the threshold value to predict the deformation grade of the deterioration mechanism.

  In the present invention, by using BMS-DB, the soundness of members constituting the bridge can be quantitatively and objectively evaluated, and long-term deterioration can be predicted. It is also possible to support the work of formulating future maintenance plans based on the soundness of the bridges by selecting the optimal countermeasure method and the timing of the countermeasures and performing planned and efficient bridge maintenance. become.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. In addition, when showing the same element in several drawing, the same referential mark is attached | subjected.

(Bridge maintenance management plan support system configuration)
As shown in FIG. 1 regarding the configuration of the bridge maintenance management plan support system (BMS), the server 10 and the client 11 are connected via the Internet, a public line, a dedicated line, or the like. The server 10 and the client 11 communicate with each other, and the client 11 controls an operation for instructing the server 10 and a display screen.

  Next, the command set from the client 11 is transmitted to the server 10. When the server 10 receives a command transmitted from the client 11, the server 10 processes the processing content set at the time of the command and notifies the client 11 of the processing result. Then, the processing result is transmitted to the client 11, and the client 11 receiving the processing result displays the processing result and notifies the user of the result.

In addition, in order to perform BMS-DB data maintenance of the server 10 using the client 11, the basic data 13, the complementary processing environment condition data 14, and the like can be converted.
Basically, by using BMS mainly by engineers, it becomes possible to support the work of formulating a future maintenance plan based on the soundness of the bridge.

The system configuration shown in the figure is an example, and the BMS system configuration is not limited to this configuration.

(BMS introduced)
When the system is introduced, the BMS-DB of the server 10 is constructed with a predetermined table configuration. And various parameter data and various basic data related to data interpolation and deformation grade threshold and repair and reinforcement method, which will be described later, for example, code data (bridge type code, structure type code, bridge type code) configured in the structure shown in FIG. Etc.) is automatically set in the BMS-DB.

In addition, although setting to BMS-DB at the time of system introduction has determined and set an initial value beforehand, you may reset the newest data sequentially updated based on the past performance. It is also possible to provide a separate database system and automatically or manually set the database system periodically.

(BMS-DB flow)
BMS evaluates the soundness of the members that make up a bridge quantitatively and objectively, predicts long-term deterioration, and selects the optimal countermeasure method and countermeasure period to plan and efficiently construct the bridge. In order to perform proper maintenance, each processing is executed according to the processing procedure shown in FIG.

  And in the bridge maintenance management support system that provides information on bridges, the deterioration criteria that expresses the deterioration mechanisms of the members constituting the bridge divided into multiple ranks of deformation grades are provided in common for each deterioration mechanism. The deterioration criterion is expressed numerically for each deterioration mechanism and used as a threshold value for each deterioration grade. The deterioration prediction value is calculated using a deterioration prediction formula corresponding to each deterioration mechanism, and the deterioration prediction value is compared with the threshold value to change the deterioration mechanism. Predict the quality grade. The repair and reinforcement method corresponding to the deformed grade is selected based on the countermeasure cost and the year of the effect of the countermeasure, and the repair and reinforcement cost is calculated. The results calculated by the repair and reinforcement cost calculation means are tabulated and displayed.

  The flow of BMS-DB will be described with reference to FIG. BMS-DB is roughly classified into BMS utilization preparation (S31), deterioration prediction (S32), and repair and reinforcement cost calculation (S33).

In the BMS utilization preparation (S31), basic data preparation (S34), deficient data supplementation (S35), various parameter settings (S36), and evaluation condition creation (S37) are performed.
In the preparation of basic data (S34), processing for converting necessary data in the BMS-DB is performed. Next, in the deficient data supplement (S35), deficient data is supplemented when data necessary for bridge deterioration prediction and LCC (life cycle cost) calculation is insufficient.

  In various parameter settings (S36), necessary parameters are set in the BMS-DB. Then, in the creation of the evaluation condition (S37), an evaluation condition for performing deterioration prediction and LCC calculation is created.

In the deterioration prediction (S32), each process of deterioration prediction automatic calculation (S38) and deterioration prediction correction confirmation (S39) is executed.
In the deterioration prediction automatic calculation (S38), based on the evaluation condition created in S37, the bridge member to be subjected to automatic calculation is calculated for each deterioration mechanism by using a prediction formula to predict deterioration.

  Here, the deterioration mechanism has at least items such as “neutralization”, “salt damage”, “fatigue”, “freezing damage”, “chemical erosion”, “alkaline aggregate reaction”, and the like. Used for evaluation.

  In the deterioration prediction correction confirmation (S39), the automatic calculation result of the deterioration prediction is confirmed, and the deterioration prediction result is corrected and confirmed as necessary. Also, a setting simulation is created in order to determine the definite value.

The repair and reinforcement cost calculation (S33) executes each process of automatic repair and reinforcement cost calculation (S310), correction and confirmation of repair and reinforcement costs (S311), and totalization of repair and reinforcement costs (S312).
The repair / repair cost automatic calculation (S310) creates a repair / repair scenario based on the deterioration prediction result, and automatically calculates the LCC.

  Confirmation of correction of repair and reinforcement costs (S311) confirms the automatic calculation result of the calculation of LCC and confirms the correction process by changing the repair and reinforcement scenario and the reinforcement repair method adopted in the automatic calculation as necessary. .

The total repair cost (S312) calculates and displays the total repair cost.
(Configuration of BMS-DB)
Next, the data structure of the BMS-DB of the server 10 will be described with reference to FIGS. 4A, 4B, and 4C.

  As shown in FIG. 4A, the BMS-DB includes various tables and a BMS-DB processing unit 40 that performs processing using these tables. The BMS-DB processing unit 40 extracts necessary data for the evaluation condition of the bridge to be evaluated, performs the above-described flow processing (FIG. 3), and presents the result to the user.

  Next, each table will be described. Data necessary for BMS utilization preparation (S31) is input to a table group indicated by 41. 41 includes a code data table group 42, a bridge specification table group 43, an inspection information table 44, a traffic volume table 45, and an environmental condition table group 46.

  The table in 41 converts data from the basic data 47 and the complementary processing / environmental condition data 48. Data from the code database 49 is converted into the code data table group 42. 4C includes a structure type code table, a bridge classification code table, a management office code table, a route code table, and the like.

  Data from the road asset management database 410 is converted into the bridge specification table group 43. The bridge specification table 43 stores data relating to a plurality of bridge specifications and a history data group. The bridge specification table is composed of a set of tables having one or more forms such as a bridge specification data common style, a bridge specification data section 1 and a bridge specification data expansion / contraction device shown in FIG. 4B. Further, the items and keys (PK) of each table are different for each table. The history data group is composed of one or more tables having data such as bridge code, bridge name, repair location, repair content, repair cause, repair quantity, and the like.

  Data from the inspection database 411 is converted into the inspection information table 44. In the traffic volume table 45, data related to the traffic volume is converted from the traffic volume database 412. The environmental condition 46 is converted from the environmental condition database 413 with respect to the environment (see FIG. 4B: distance from the coastline, data on the number of rain days, etc.).

  The evaluation creation management table 414 has one or more evaluation conditions for evaluating the deterioration mechanism of each bridge, and the items of the table are based on the evaluation start year, the evaluation period, the management level, how to handle the characteristic values, and the like. Configured (see FIG. 4B). Each evaluation condition includes a past evaluation condition and a new evaluation condition. Each evaluation condition can be edited as necessary as shown in FIG.

The complement result data table 416 complements data that is not in the bridge specification table group 43. Complementation result data table includes items such as floor cover average value, floor cover minimum value, main girder water cement ratio (%), main girder cement type, main girder concrete strength (kg / cm ² ) (see Fig. 4C) It is configured.

The evaluation calculation target table group 417 is created based on the target evaluation conditions of the evaluation creation management table 414, the data of the bridge specification table group 43 and the complement result data table 416.
In addition, a deterioration prediction calculation target table and a deterioration prediction calculation target non-target table are provided. The deterioration prediction calculation target table includes, as data for performing deterioration prediction under the above-described evaluation conditions, a cover complement value, surface chloride amount, concrete strength, floor slab thickness, salt damage calculation target classification, and the like (see FIG. 4C).

Similarly, the table not subject to degradation prediction calculation has a neutralization calculation target category, a salt damage calculation target category, an RC floor slab calculation target category, and the like (see FIG. 4C).
FIG. 418 includes a deformation grade threshold value table 419 and a deterioration prediction table group 420 necessary for performing deterioration prediction. The deformation grade threshold table 419 is a table in which the degree of deterioration of each deterioration mechanism is represented by an image, a numerical value, or the like. The degradation prediction table group 420 is used to perform degradation prediction of the degradation mechanism based on the evaluation conditions for the bridge in the evaluation creation management tables 414 and 415. Moreover, it has a deterioration prediction graph value table, a deterioration mechanism determination table, and the like. The deterioration prediction graph value is used to create a deterioration prediction graph. The deterioration mechanism determination table is used when determining the main deterioration mechanism of the deterioration mechanism.

  FIG. 421 includes a repair / reinforcement scenario initial setting table 422, a repair / reinforcement method table 423, a repair / reinforcement cost table group 424, and the like for calculating the repair / reinforcement cost. The repair / reinforcement scenario initial setting table 422 is used to create a scenario for performing repair / reinforcement. Further, the repair / reinforcement method table 423 is composed of the cost of the method for each deterioration mechanism when performing repair and reinforcement, the running cost, and the like, and is used for the cost calculation.

  The repair / reinforcement cost table group table 424 includes the repair / reinforcement construction method and the cost based on the deterioration prediction of the deterioration mechanism calculated based on the evaluation condition of the bridge in the repair / reinforcement scenario initial setting table 422, the repair / reinforcement method table 423, and the evaluation creation management table 414. Used to calculate. In addition, there are tables such as a repair / reinforcement scenario combination setting table and a repair / reinforcement cost calculation result table. The repair / reinforcement scenario combination setting table has a policy code, and the repair / reinforcement cost calculation result table includes items such as the total number of countermeasures, the total repair / reinforcement, and the total running cost.

  Next, in order to perform the degradation prediction calculation described in the degradation prediction (S32), the degradation prediction simulation management table 425 creates a degradation prediction simulation based on the evaluation conditions of the bridge in the evaluation creation management table 414 that performs the degradation prediction. can do. Each deterioration prediction simulation can be edited as necessary as shown in FIG.

  In addition, in order to calculate the repair and reinforcement cost described in the repair and reinforcement cost calculation (S33), the repair and reinforcement cost calculation simulation management table 427 creates a repair and reinforcement cost calculation simulation based on the deterioration prediction simulation. Each repair and reinforcement cost calculation simulation can be edited as shown in FIG.

Note that the items and keys (PK) of each table shown in FIG. 4 are not limited to the configurations described in the above tables.

(Maintenance of basic data)
Explain basic data maintenance. Fig. 5 Bridge specification data (basic data and repair history data (Fig. 6) such as bridge name, installation position and structure type) stored in the road asset management DB 410 is transferred to the BMS-DB (conversion processing) ) In addition, the bridge damage data in the current state is also transferred (converted) from the inspection data DB 411 (result data obtained by checking each bridge) shown in FIG. At this time, if necessary data is not migrated in the BMS-DB, an error is displayed to prompt the completion of the complete migration process. (In each data conversion process, abnormal values etc. are checked, and if there are abnormal values etc., they are notified by an error display and prompted to change to normal values)
Note that the data may be directly converted using a separate database as shown at 12 in FIG.

  In addition, data (salt damage related data) such as traffic volume, number of days of rain, distance from coastline, etc. in the environmental condition data may be prepared separately and set like the environmental condition database 413, or periodically (and Data may be converted automatically). For example, conversion of daily average large vehicle traffic volume data arranged for each route section from the traffic volume DB 412 is performed.

Here, the traffic volume data is composed of data of traffic statistics data by age, route section, five vehicle types, and the like.
The rainy days data is composed of sunshine hours, weather days, days of rain, etc. by prefecture based on the days of precipitation described in the Japan Statistical Yearbook (Statistics Bureau, Ministry of Internal Affairs and Communications).

The salt damage-related data is composed of the distance (km) from the bridge (unit) to the coastline, the amount of antifreeze applied, the presence or absence of sea sand usage, and the like.

(Insufficient data supplement: Completion processing of insufficient data, setting of environmental condition data)
If there is insufficient data in bridge deterioration prediction or LCC calculation, preset data supplement table (see Fig. 8: for example, use the supplement table for surface chloride content and concrete specifications) Data complement processing is performed based on, and necessary data is set. In addition to the data complementing process, the bridge part members that are not subject to deterioration prediction are excluded, and the target of subsequent processing is selected, that is, the complementing result data table 416 (data complementing table) and the bridge specification table group Data is stored in the evaluation calculation target table group 417 using 43 (bridge specification data).

In addition, abnormal values and the like are also checked when the missing data is complemented and the environmental condition data is set. If there are abnormal values or the like, they are recognized by an error display and prompted to change to normal values.
In addition, regarding the input of traffic volume data, the input of rainy day data, and the input of distance data from the coastline, direct data conversion may be performed from the traffic volume database 412, the environmental condition database 411, or the like.

(Automatic calculation processing such as creation of evaluation conditions and deterioration prediction)
(1) Creation of evaluation conditions For the unit (evaluation unit) for performing deterioration prediction and repair / reinforcement cost calculation (LCC calculation), the evaluation conditions are set and created. As shown in FIG. 9, the evaluation conditions of the evaluation creation management table 414 are based on conditions such as the evaluation start year, the evaluation period, the evaluation route section, the management level (deformation grade), and how to obtain characteristic values (average / minimum). create.

  In addition to creating a new evaluation condition, editing processing such as split creation, integration, and deletion using existing (already created) evaluation conditions is possible, and the evaluation unit is flexible and efficient. Can be created.

Further, in BMS-DB, automatic calculation processing for deterioration prediction may be performed at the same time as creating an evaluation condition.
In addition, the degradation mechanism used as the object of automatic calculation processing has set the prediction formula corresponding to every degradation mechanism in BMS-DB.

For example, the deterioration mechanism of RC floor slabs will be described as an example: “Neutralization”, “Salt damage”, “Fatigue”, etc. The target bridge is a continuous unit for superstructure, a single unit for substructure, and After classifying into members, calculation processing is performed for each deterioration mechanism, and the deterioration mechanism with the most remarkable progress of deformation is set as the main deterioration mechanism.
(2) Automatic Calculation Processing for Deterioration Prediction, etc. The procedure for automatic calculation processing for deterioration prediction will be described with reference to FIG. As described above, an evaluation condition for the target bridge is created in step S101. At this time, one or more evaluation conditions can be created. As shown in FIG. 4A, the evaluation conditions can be determined by automatic calculation processing such as deterioration prediction, such as evaluation condition 1, evaluation condition 2,... Evaluation condition n. Can be set for. In consideration of a flexible response in practice, a plurality of evaluation conditions (evaluation units) can be created in the BMS-DB (for example, 10 initial basic settings can be changed with the initial file). It also has functions such as evaluation unit division, integration, deletion, and partial deletion.

Next, in step S102, target bridge data is extracted / read from the evaluation calculation target table group 417 for each evaluation condition.
In step S103, preparations are made to process each deterioration mechanism for each evaluation condition.

  In step S104, the prediction for each degradation mechanism is calculated using the data for each degradation mechanism prepared in S103. Here, when there is no variable data necessary for the calculation corresponding to “neutralization”, “salt damage”, “fatigue”, etc. (when it is not in the road asset management DB 410 or the like), the data supplemented by the data supplement processing described later Using the (complementation result data table 416), automatic calculation processing for deterioration prediction is executed.

In step S105, when there is repair history data (bridge specification table group 43), automatic calculation is also performed for processing for the repair history.
In step S106, when the correction value of the existing evaluation is used, the correction calculation based on the deterioration prediction condition value is performed. If there is no correction value of the existing evaluation, the correction calculation is not performed.

  In step S107, an aged deterioration grade is evaluated based on a deformation grade table (deformation grade threshold table 419) for each deterioration mechanism. “Neutralization”, “salt damage”, “fatigue”, etc. are evaluated using the deformation grade shown in FIG. The deformation grade will be described later.

In step S108, the grades of the respective degradation mechanisms are compared based on the result of S107, and the degradation mechanism with the most advanced degradation is provisionally set as the main degradation mechanism.
For example, if the deterioration grade of “neutralization” is I and the deterioration grade of “salt damage” is III (the progress of deterioration is faster than I), “salt damage” is selected and temporarily set as the main deterioration mechanism The

  In step S109, when there are a plurality of set evaluation target bridge members, the processing ends when all the evaluation target bridge members are completed. If the set evaluation target bridge member still remains, the process returns to step S104 to continue the processing.

  Further, at the time of creating an evaluation in S102, correction processing data (various measured value data and repair history data) held under separately created evaluation conditions may be reflected in the evaluation conditions.

In step 1010, in the setting at the time of evaluation creation, automatic calculation of repair and reinforcement costs up to LCC calculation may be performed.

(Deformation grade)
The deformation grade shown in FIG. 11 will be described. In BMS, based on the detailed inspection results of the bridge, the deformation and the progress of deterioration of the members constituting the bridge are provided with a common deformation standard, and are expressed in grades for each rank (stage). By dividing in this way, the management level can be set. FIG. 11 shows the setting of management levels and the direction of countermeasures.

For example, when grades are classified into five stages (I to V), there is no problematic deformation if each deformation criterion is I, and minor deformation occurs if it is II. If it is III, deformation has occurred. If it is IV, the state of deformation is significant. If it is V, serious deformation has occurred. Sort by the above conditions. As the direction of countermeasures, if I or II, continuous observation is carried out, and the management level is improved by performing planned maintenance so as not to reach V.

Next, a threshold value calculation method for automatically performing deterioration prediction for each deterioration mechanism will be described with reference to FIG. In the case of “neutralization”, the depth of neutralization and the amount of steel corrosion are calculated. "Salt damage" calculates chloride ion concentration and steel corrosion amount. “Fatigue (RC slab etc.)” calculates the degree of fatigue damage. "Frost damage" calculates the prediction formula for frost damage deterioration. (In the present embodiment, when a change becomes apparent, a deterioration prediction formula is established from a periodic detailed survey), and “chemical erosion” calculates a chemical deterioration prediction formula. (When a change becomes apparent, a deterioration prediction formula is established from periodic detailed surveys), “alkaline aggregate reaction” is calculated using an alkali aggregate reaction deterioration prediction formula. (If changes become apparent, formulate a deterioration prediction formula from periodic detailed surveys)
"Fatigue (main member of steel bridge)" calculates fatigue using a fatigue evaluation formula.

In the case of “neutralization”, 1) the depth of neutralization, 2) the amount of corrosion of the steel material is calculated, and the grade threshold value is used for automatic calculation. For example, the neutralization residual X (mm) is calculated from the neutralization depth (mm) calculated by the “civil engineering society formula” shown in FIG. And it is set as the threshold value of grade I-III. Further, the corrosion amount Y (%) of the steel material is calculated and set as the threshold value of grades III to V. Here, the thresholds 1 and 2 of grade III will be described. The reason why two thresholds are used is to determine the grade based on the amount of corrosion of the steel material when the neutralization residue becomes 10 mm or less.

In the case of “salt damage”, 1) the diffusion equation of chloride ions, 2) the amount of corrosion of the steel material is calculated, and the grade threshold is used for automatic calculation. (The corrosion rate of steel may be used for threshold calculation)
For example, the chloride ion concentration X (kg / m ³ ) calculated by the “civil engineering society formula” shown in FIG. 14 is used. And it is set as the threshold value of grade I-III.

Further, the corrosion amount Y (%) of the steel material is calculated and set as the threshold value of grades III to V.
In the case of “fatigue (RC floor slab)”, the fatigue damage degree is calculated by calculation and used as a grade threshold value when automatic calculation is performed. For example, the fatigue damage degree shown in FIG. 15 is calculated. And grade I
The threshold value is ~ V. For “frost damage”, “chemical erosion”, “alkali-aggregate reaction”, “fatigue (main member of steel bridge)” and the like, threshold values are calculated using a deterioration prediction formula suitable for each deterioration mechanism.

(Deterioration prediction correction confirmation process)
(1) Creation of Deterioration Prediction Simulation for Determining Value Setting The automatic calculation result of the above deterioration prediction is confirmed, and correction prediction processing for deterioration prediction is performed as necessary. A degradation prediction simulation unit is set after selecting an evaluation unit as a group for performing this correction confirmation processing.

Next, deterioration mechanisms that are not subject to automatic calculation for which deterioration prediction formulas have not been set, for example, are set to “neutralization”, “salt damage”, and “fatigue” for automatic calculation, and automatic calculation is set. If the deterioration mechanism that is not subject to automatic calculation is “freezing damage”, “chemical erosion”, or “alkali aggregate reaction”, a multi-point plot method (change at a certain time) Set a deterioration curve by plotting multiple grades) and confirm. For example, a five-point plotting method may be used.
(2) Determining correction of deterioration prediction Confirm the automatic calculation result of deterioration prediction, perform correction processing using each data of repair history, measured value, and inspection result, and determine the deterioration prediction formula. If there is no need for correction, the correction process is performed without any correction.

Regarding the repair history, correction is made by selecting whether or not to reflect the existing or unregistered repair history in the deterioration prediction.
Repair history data can be added and deleted.

Regarding measured values, if there are measured values from investigations on the bridge, such as chloride ion concentration, fogging, and corrosion amount of steel materials, data is registered and corrected.
Regarding the inspection results, the damage status by detailed inspection etc. is confirmed, and the current deformation grade is input for each deterioration mechanism from the appearance status and corrected.

  The correction confirmation process for deterioration prediction can be performed while confirming individual deterioration curves. In addition, the deterioration prediction confirmation process includes deterioration prediction simulation (unit) for setting a fixed value, batch processing in a group of branches, offices, route sections, etc. Both processing is possible, and the efficiency of work can be improved by selecting as appropriate.

One definite value is held for each evaluation condition (unit) as a result of recalculation in the superstructure one continuous unit and substructure one unit of each bridge in the evaluation conditions.
The procedure of the deterioration prediction correction confirmation process will be described with reference to the flowchart of FIG.

In step S161, the evaluation conditions are read from the evaluation creation management table 414, and evaluation conditions are set.
In step S162, the deterioration prediction simulation for setting the definite value is created and set. The deterioration prediction correction confirmation process is performed by newly creating a deterioration prediction simulation for setting a definite value or selecting an existing one from the deterioration prediction simulation management table 425.

  In addition, a plurality of deterioration prediction simulations for setting a definite value can be created for one evaluation condition, and values being corrected are held in units of deterioration prediction simulations until determined in units of the simulations. Therefore, it is possible to try a plurality of correction processes for the same bridge from a separate viewpoint.

It is also possible to perform correction processing for each deterioration mechanism.
When creating a new condition setting, the newly created simulation for setting a definite value is stored in the deterioration prediction simulation management table 425.

In addition, when a definite value setting simulation necessary for the deterioration prediction simulation management table 425 is already prepared, the existing setting is used.
In addition, when it is determined in each deterioration prediction simulation, a value determined later may be set as a determined value.

In step S163, the target bridge data is extracted and read from the evaluation calculation target table group 417 for each evaluation condition.
In step S164, a part and member of one bridge are selected from the target bridge data.

In step S165, the already calculated result data is read from the deterioration prediction table group 420 and checked. A degradation curve shown in FIG. 17 is created and displayed for each evaluation condition. This figure is a graph created with the deformation grade level on the vertical axis and the time (predicted period) on the horizontal axis. T0 is the start year, T1 is the end year of Grade I, T2 is the end year of Grade II, and T3 is The end year of Grade III and T4 is the end year of Grade IV.

  Next, in step S166, if correction is necessary, the process proceeds to step S167 for correction processing / recalculation, and if not necessary, the process proceeds to step S1612 to confirm and set the main deterioration mechanism.

  In step S167, correction calculation based on the repair history is performed. For example, when there is repair history data FIG. 6 for a target deterioration mechanism part, the deterioration curve of FIG. 17 is repair history data of the repair reinforcement method unit price master code table (upper work) shown in FIG. 18, FIG. FIG. 20 shows an example in which correction is made for the countermeasure effect (year) based on correction history data such as repair history data in the repair reinforcement method unit price master code table (substructure).

For example, if there is a repair history, as shown in FIG. 20, the grade is corrected from grade II to grade I in the repair year. Recalculate the curve.

In step S168, correction calculation based on the deterioration prediction condition value is performed. Corrections using actual measurement data and inspection data (total evaluation of the entire bridge) will be implemented.
An example in the case of “neutralization” is shown in FIG. The current deterioration curve is corrected based on the grade level (neutralization depth (mm) or neutralization remainder (mm)) of the inspection year.

If there is a clear difference between T1 and T2 as shown in the figure, the correction value (slope) = (neutral at the time of inspection) from the depth of neutralization at the time of inspection, the safety factor, and the years of use up to the inspection year. Depth) / ((safety factor) × (year of use until inspection year) ^1/2 ) is calculated, and the slope of the deterioration curve between T1 and T2 is corrected. Thereafter, the deterioration curve between T0 and T1 is changed, the deterioration curve between T2 and T4 is translated, and the deterioration curve between T1 and T2 is connected. For the safety factor, a known numerical value such as 1.3 is used.

Similarly, in the case of other deterioration mechanisms, correction values set for the respective deterioration mechanisms are obtained by calculation and the same correction is performed.
In step S169, for the deterioration mechanism for which no deterioration prediction formula has been set, the engineer determines the deformation grade from the appearance of inspection, etc., and plots the judgment year and the deformation grade based on multiple points of inspection. To create a deterioration curve.

  For example, as shown in FIG. 22, the deterioration prediction by the N point plot is performed. The degree of soundness is evaluated at the time of inspection, the deformation grade of each inspection year is plotted, and a deterioration curve is created by approximating each point with an Nth order equation. Each member is also inspected to predict the progress of current degradation. For example, a line graph, a regression curve, an Nth order curve, or the like may be used. In the case of this example, it is carried out for “frost damage”, “chemical erosion”, “alkali aggregate reaction”, “fatigue of steel members”, “salt damage due to antifreeze”, and the like. Therefore, by using this function, it is possible to reflect the deterioration prediction result using a prediction formula or the like separate from BMS on the BMS.

  The deterioration curve obtained from the prediction formula set in the BMS is designed and constructed at the same time, and the automatic calculation results are almost the same if the environmental conditions are the same. However, even if the degradation prediction results by automatic calculation are the same, the damage status of individual bridges will actually differ depending on various additional factors. To. For example, it is preferable to perform correction based on judgment by a professional engineer. In addition, regarding repair history data, it is possible to reflect the judgment of a professional engineer because the handling (the presence or absence of effects) of partial repair or the like cannot be determined in general.

  In addition, when specific numerical values such as “rebar cover”, “neutralization depth”, “chloride ion concentration”, and “corrosion amount of steel” are measured, the current situation is understood and predicted. In order to improve the accuracy, it is also possible to set a correction reflecting actual measurement data.

In addition, the “water cement ratio” can also be corrected by inputting an actual measurement value.
Regarding “fatigue of RC floor slab”, the determination method by the free lime method has been formulated by the Japan Highway Public Corporation, and correction by reflecting this determination result is also possible.

In addition, about the said correction | amendment, the correction by various data is reflected according to a time series, and the prediction curve after correction | amendment translates the deterioration curve by a deterioration prediction formula.
In step S1610, an aged deterioration grade is evaluated based on a deformation grade table for each deterioration mechanism in the deformation grade threshold table 419. Evaluation is made using deformation grades such as “neutralization”, “salt damage”, and “fatigue”.

Furthermore, with regard to the inspection data, the detailed damage status of the current situation is grasped by the detailed inspection, and the engineer sees this data to correct the current deformation grade.
FIG. 23 is a diagram showing the determination of a representative case of “neutralization” regarding the explanation of the deformation great and the determination based on the inspection data. The progress of deterioration is divided into deformation grades, and each deformation grade is composed of an appearance, a description of the state, an actual image, and the like.

  In step S <b> 1611, the determined main deterioration mechanism is set. Based on the result of S1610, the grades of the respective deterioration mechanisms are compared, and the deterioration mechanism with the most advanced deterioration is temporarily set as the main deterioration mechanism.

In step S1612, when all the set evaluation target bridge members have been completed, the process ends. If the evaluation object bridge member still remains, the process returns to step S164 to continue the processing. The deterioration prediction result is stored in the deterioration prediction table group 420.

(Automatic calculation of repair and reinforcement costs (LCC))
The automatic calculation process of repair and reinforcement costs (LCC) uses the degradation prediction results determined so far, performs automatic calculation of LCC for repair and reinforcement scenarios, and adopts the scenario where the LCC is the cheapest and tabulates To implement.

The LCC automatic calculation for the repair / reinforcement scenario calculates the LCC calculated for the main deterioration mechanism and other deterioration mechanisms.
The LCC automatic calculation processing is performed based on the rules described later, and is used from the parameter table of the repair and reinforcement method in which the parameters of the repair and reinforcement method are set in advance.

  In the automatic calculation process of LCC, the construction method with the lowest cost is adopted in consideration of the year of effect among the construction methods corresponding to each deformation grade shown in the parameter table of the repair and reinforcement construction method. .

In other words, the cheapest construction method of countermeasure cost (unit price) / counter effect year (+ running cost) yen / year is adopted = the construction method having the largest countermeasure effect year / measure cost (unit price).
The automatic calculation processing of the repair and reinforcement cost (LCC) will be described using the flow of FIG.

In step S241, an evaluation condition is read from the evaluation creation management table 414, and an evaluation condition is set.
In step S242, a calculation target range is set. The automatic calculation processing of LCC is performed by selecting the target evaluation condition and selecting a branch office / bureau, office, route, etc. under the evaluation condition (unit).

In step S243, the target bridge data is extracted and read from the evaluation calculation target table group 417 for each evaluation condition, and one bridge, part, and member data are read from the target bridge data.
In step S244, deterioration prediction data is read from the deterioration prediction table group 420.

In step S245, the calculation condition data is read. 1) Cost setting 2) Select an effective repair and reinforcement method for each grade.
The cost is set based on parameters such as the total number of spans N, the number of spans m across the intersection, unit price 1 (work environment is normal) C1, unit price 2 (example of work environment: intersection) C2, etc. Set {C1 × (N−m) + C2 × m} / N.

For the selection of effective repair / reinforcement methods for each grade, the method with the largest [measure effect (year) / unit price C] is selected from the recommended methods for each grade.
In addition, a repair and reinforcement scenario is selected. For example, as a policy, 1) Do not proceed with deformation from modification grade II, 2) Do not proceed with modification from modification grade III, 3) Do not proceed with modification from modification grade IV, 4) Replace (replace) Create multiple scenarios that satisfy multiple policies, such as repeating.

FIG. 25 shows an example of fatigue of an RC floor slab. The repair / reinforcement method for each grade is listed, and a countermeasure effect year when the target method is applied is prepared in advance.
Next, FIG. 26 shows an example of a repair and reinforcement scenario for each countermeasure policy. Policy 1) is a deterioration curve when floor slab waterproofing A and B are repeatedly performed so as not to cause deformation from grade II. Policy 2) is a deterioration curve when floor slab waterproofing A is repeatedly performed after the bottom surface is thickened (floor slab waterproofing and crack repair combined) so that the deformation does not progress from grade III. Policy 3) is an example in which the deformation does not progress from grade IV.

In step S246, costs are calculated and tabulated based on the setting in S245, the repair / reinforcement scenario initial setting table 422, and the repair / reinforcement method table 423.
In step S247, the total results for each scenario are compared. A combination of repair and reinforcement scenarios as shown in FIG. 27 is created. (In this example, up to 18 repair and reinforcement scenarios are prepared.)
As a rule of combination, in FIG. 27, 1) After repair and reinforcement, it is recovered to deformation grade I.
2) The first time, measures will be taken according to the above policy, etc., depending on the state of the evaluation year. 3) The combination will not be more than the previous measure. 4) The period until the first countermeasure + the total countermeasure effect year after the first is repeated until the evaluation end period. Set 4 items and display the scenario according to the combination rule.

In step S248, the adoption scenario is determined.
In step S249, when all the set evaluation target bridge members have been completed, the process ends. If the evaluation target bridge member still remains, the process returns to step S243 to continue the processing. The result is stored in the repair and reinforcement cost calculation result table.

In addition, for bridges (intersections) with intersecting objects, the cost can be automatically changed and set (in the repair and reinforcement method parameter table, the cost is set according to the working environment conditions at the construction location). The system automatically discriminates based on the registration data regarding the intersection condition.

(Correction of repair and reinforcement costs (LCC))
(1) Creation of simulation for setting definite value The automatic calculation result of LCC calculation is confirmed, and correction determination processing for LCC calculation is performed as necessary. After selecting an evaluation condition (unit) as a group for performing the correction confirmation process, a repair / reinforcement cost calculation simulation unit is set.

That is, the LCC calculation correction confirmation process is performed by creating a repair / repair cost calculation simulation for setting a fixed value or selecting an existing one.
(2) Correction and confirmation of repair and reinforcement costs (LCC) After confirming the automatic calculation results of the LCC calculation and making corrections by changing the repair and reinforcement scenario and repair and reinforcement method employed in the automatic calculation, confirm To do. If there is no need for correction, the correction process is performed without any correction. LCC is also calculated for the main degradation mechanism and other degradation mechanisms.

The repair / reinforcement method is classified according to the deterioration mechanism, and additional setting of the method, change of cost, etc. can be performed.
Automatic calculation of LCC is based on certain conditions, but due to differences in damage conditions, construction conditions, work environment conditions, etc., it is necessary to change the repair method and scenario for individual bridges or bridges in specific route sections. There are many cases. For this reason, by performing these corrections based on the judgment of a professional engineer, the LCC calculation is performed in accordance with the current situation. The selection of repair / reinforcement scenarios to be subject to LCC calculation can be arbitrarily set.

  With the data management function (in the BMS-DB processing section), it is possible to change parameters (cost, effect year, etc.) related to each repair and reinforcement method, and to add new methods, and reflect new technologies and new methods as appropriate in BMS. It is possible to make it.

The LCC correction confirmation process can be performed while checking individual deterioration curves and LCC graphs. One definite value is held in the evaluation condition.
The procedure for calculating the repair and reinforcement cost (LCC) will be described using the flow of FIG.

In step S281, an evaluation condition reading evaluation condition is set from the evaluation creation management table 414.
In step S282, a repair and reinforcement cost calculation simulation creation setting for setting a definite value is performed. When a new condition setting is created, a newly created simulation for setting a definite value is stored in the repair and reinforcement cost calculation simulation management table 427.

  In addition, when a repair / repair cost calculation deterioration simulation for setting a definite value required for the repair / repair cost calculation simulation management table 427 is already prepared, the existing setting is used.

In step S283, regarding the change of the adopted construction method, both a batch change in a group confined by a branch office, a bureau, an office, a route section, and the like can be made together.
When no correction is performed, the process proceeds to S2812. When determining the correction unit, the process proceeds to S286 if the individual setting is made, and proceeds to S284 if the group is based on the calculation.

  The LCC confirmation process consists of a simulation unit for calculation of repair and reinforcement costs for setting a fixed value, a batch process in a group of branches, stations, offices, route sections, etc., and individual (one bridge per station / member) ) Both processes are possible, and work efficiency can be improved by selecting appropriately.

In step S284, the repair / reinforcement scenario in the repair / reinforcement scenario initial setting table 422 is changed and recalculated (simulation unit). With regard to the repair / reinforcement scenario, a scenario can be additionally set to a plurality of preset scenarios based on the judgment of an expert engineer. (S289 is the same)
In step S285, the repair / reinforcement method is changed / recalculated from the repair / reinforcement method table 423 (units such as branch offices, stations, offices, route sections).
In step S286, target bridge data is extracted from the evaluation calculation target table group 417.

In step S287, one bridge, part, and member are selected.
In step S288, reading of already calculated result data is confirmed.
In step S289, the adopted scenario is changed and recalculated from the repair and reinforcement scenario initial setting table 422. The repair / reinforcement scenario can be changed individually (one bridge / one part / each member).

In step S2810, the repair / reinforcement method is changed and recalculated from the repair / reinforcement method table 423.
In step S2811, when all the set evaluation target bridge members have been completed, the process ends. If the evaluation target bridge member still remains, the process returns to step S287 to continue the processing.

In step S2812, confirmation is made. The calculation result is stored in the repair and reinforcement cost calculation result table of the repair and reinforcement cost table group 424.
Use the data management function to add the above repair and reinforcement methods and change parameters such as cost and effect year. (Additions / changes to repair / reinforcement method table 423)
A plurality of (eight in the present example) determination value setting simulations can be created for one evaluation condition, and values being corrected are held in simulation units until the simulation is determined in units of simulation. Therefore, it is possible to try a plurality of correction processes for the same bridge from a separate viewpoint.

In addition, when it is determined in each simulation, a value determined later may be a determined value.

(Total repair and reinforcement costs)
Aggregate the countermeasure costs calculated (confirmed) for each member under the above evaluation conditions (units), and calculate the total countermeasure construction method and countermeasure costs required for each year and the repair and reinforcement costs required until the end of evaluation. Display (total table / total graph). The total results can be displayed separately for the superstructure and substructure for each bridge, series, vertical line, and degradation mechanism, or all of them can be displayed together.

By displaying the cost summary graph for a plurality of evaluations at the same time, for example, it is possible to compare repair and reinforcement costs due to differences in management grade.
The totaling of repair and reinforcement costs will be described with reference to the flow of FIG.

In step S291, the evaluation conditions are read from the evaluation creation management table 414 for setting (selecting) the evaluation.
In step S292, the calculation target range is set using the evaluation calculation target table group 417, the deterioration prediction table group 420, and the repair and reinforcement cost table group 424.

In step S293, the aggregation target is selected.
In step S294, the repair and reinforcement costs are tabulated and stored. (Cost summary table)
In step S295, the tabulation results are confirmed and compared for each scenario.

The management result of the bridge is drawn up by using the total result. In addition, the priority of repair and reinforcement can be easily determined by sorting the magnitudes of costs based on the total results.
In addition, BMS focuses on structural functional degradation and mainly supports bridge management planning based on degradation prediction, but actual repair and reinforcement of bridges deal with damage other than structural functional degradation. To respond to social demands such as seismic reinforcement. Therefore, in order to make a management plan for the entire bridge, it is necessary to consider the cost of repair and reinforcement in addition to these structural functional degradations. After inputting the corresponding repair / reinforcement plan data, it can be re-imported into BMS, and all repair / reinforcement plans can be aggregated in BMS centrally.

(File output)
In BMS, in each phase, display in a table format, graph, etc. (screen output) and print output can be performed, and file output in CSV format is also possible, and the output data can be utilized.

In addition, BMS handles data such as bridge specifications, repair history, and inspections, and further includes deterioration prediction data and repair / reinforcement plan data as outputs from BMS, which can be comprehensively output. .

The present invention is not limited to the above-described embodiment, and various improvements and modifications can be made without departing from the gist of the present invention.

It is a figure which shows the structure of a BMS system. It is an example of the code data which shows the structure of basic data. It is a flowchart which shows the utilization method of BMS-DB. It is a figure which shows the data structure of BMS-DB. It is a figure which shows the data structure of BMS-DB. It is a figure which shows the data structure of BMS-DB. It is a figure which shows the example of bridge specification data. It is a figure which shows the example of repair log | history data. It is a figure which shows the example of inspection data. It is a figure which shows the example of the supplementary table | surface about the amount of chlorides of a surface, and the item of concrete. It is a figure which shows the example of a setting of evaluation conditions. It is a flowchart which shows the procedure of the automatic calculation process of deterioration prediction. It is a figure explaining a deformation grade. It is a figure which shows the calculation method of the threshold value for performing deterioration prediction automatically. It is a figure which shows the deformation grade of neutralization. It is a figure which shows the deformation | transformation grade of salt damage. It is a figure which shows the deformation | transformation grade of fatigue of RC floor slab. It is a flowchart which shows the procedure of the correction | amendment / confirmation process of deterioration prediction. It is a figure which shows a deterioration curve. It is a figure which shows the example of the repair log | history data of a repair reinforcement construction method unit price master code table (superstructure). It is a figure which shows the example of the repair log | history data of a repair reinforcement construction method unit price master code table (substructure). It is a figure which shows performing correction | amendment for a countermeasure effect (year) to a degradation curve based on correction | amendment history data. It is a figure which shows performing correction | amendment by actual value data and inspection data to a degradation curve. (Example of “neutralization”) It is a figure which shows the Example of the deterioration prediction by N point plot. It is the figure which showed the determination by the deformation | transformation grade of "neutralization" and inspection data. It is the flowchart which showed the procedure of the automatic calculation process of repair reinforcement | strengthening expense (LCC). It is a figure which shows the example of the repair reinforcement method parameter with respect to the fatigue | exhaustion of RC floor slab. It is a figure which shows the example of the repair and reinforcement scenario classified by countermeasure policy. It is the figure which showed the combination of the repair reinforcement scenario. It is the flowchart which showed the procedure of calculation of repair reinforcement | strengthening cost (LCC). It is the flowchart which showed the procedure of tabulation of repair reinforcement expense.

Explanation of symbols

10 Server 11 Client 12 Client 13 Basic data 14 Complementary processing environment condition data

40 BMS-DB processing unit 41 Table required for BMS utilization preparation 42 Code data table group 43 Bridge specification table group 44 Inspection information table 45 Traffic volume table 46 Environmental condition table group 47 Basic data 48 Supplementary processing / environmental condition data 49 Code database 410 Road asset management database 411 Inspection database 412 Traffic volume database 413 Environmental condition database 414 Evaluation creation management table 415 Each evaluation condition is edited as necessary as shown in the figure 416 Supplement result data table 417 Evaluation calculation target table group 418 Deterioration Table 419 Necessary for Performing Prediction Deformation Grade Threshold Value Table 420 Degradation Prediction Table Group 421 Table 422 Necessary for Calculating Repair Reinforcement Cost Repair Reinforcement Scenario Initial Setting Table 423 Repair Strength method table 424 repairing reinforced cost table group 425 deterioration prediction simulation management table 426 Edit 427 repairing reinforced cost calculation simulation management table 428 repairing reinforced cost edit 429 data management function calculation simulation for each deterioration prediction simulation

Claims (15)

In the bridge maintenance management support system that provides information on bridges,
A deterioration standard that expresses the deterioration mechanism of the members constituting the bridge divided into a plurality of ranks of deformation grades is provided in common for each deterioration mechanism, and the deformation reference is expressed numerically for each deterioration mechanism. As a threshold for each deformation grade,
A deterioration prediction unit that calculates a deterioration prediction value by a deterioration prediction formula corresponding to each deterioration mechanism, compares the deterioration prediction value with the threshold value, and predicts the deformation grade of the deterioration mechanism;
A repair and reinforcement cost calculation means for selecting a repair and reinforcement method corresponding to the deformation grade based on a countermeasure cost and a countermeasure effect year, and calculating a repair and reinforcement cost,
Totalizing means for repairing and reinforcing costs for counting and outputting the results calculated by the repairing and reinforcing cost calculating means,
Comprising
The degradation mechanism has at least one of neutralization or salt damage,
The threshold value for each Deformation grade corresponding to the neutralization is defined by neutralization rest, when the steel material is below the neutralization remaining values are assumed to begin to corrode, the strange the threshold of Jo grade defined by the steel material amount of corrosion,
The threshold value for each Deformation grade corresponding to the salt damage is defined in chloride ion concentration, when the steel material is equal to or greater than the chloride ion concentration is assumed to start to corrode, the threshold of Deformation grade bridge maintenance planning support system, characterized in that prescribed by the steel material corrosion amount.   The bridge maintenance management plan support system according to claim 1, wherein the deterioration mechanism further includes at least one of fatigue, frost damage, chemical erosion, or alkali aggregate reaction.   2. The bridge maintenance management plan support system according to claim 1, wherein the deterioration prediction unit creates a deterioration curve by displaying the deformation grade of the deterioration prediction period for each hour.   2. The bridge maintenance management plan support system according to claim 1, wherein when there is a repair history, the deterioration prediction unit reflects an effect of repair reinforcement for each deterioration mechanism in the deformation grade.   In the deterioration curve, when there is a repair history in the deterioration prediction period, the deformation grade is recovered at the time of repair only by the effect of repair reinforcement, and in the period when there is no repair history in the deterioration prediction period, only the recovered effect is the deterioration curve. The bridge maintenance management plan support system according to claim 3, wherein the deterioration curve is corrected by parallel translation.   4. The bridge maintenance management plan according to claim 3, wherein the deterioration curve reflects one of a correction based on an already predicted deterioration prediction, a correction based on an actual measurement value, and a correction based on an inspection on the deterioration curve. 5. Support system.   The bridge maintenance management plan support system according to claim 3, wherein the deterioration curve reflects the deformation grade in the deterioration curve based on a plurality of inspection data and inspection time.   The bridge maintenance management plan support system according to claim 1, wherein the repair and reinforcement cost calculation means proposes a repair and reinforcement scenario by predicting and calculating the execution of repair and reinforcement based on the deformation grade.   The bridge maintenance management plan support system according to claim 8, wherein the repair and reinforcement scenario proposes a plurality of repair and reinforcement scenarios by changing the execution time of the repair and reinforcement on the basis of the deformation grade. .   The bridge maintenance management plan support system according to claim 1, wherein the repair and reinforcement cost calculation means automatically determines that the cost is changed and set according to a work environment condition of a construction site. 9. The bridge maintenance management plan support system according to claim 8, wherein when the repair / reinforcement scenario is corrected, an individual setting or a group setting to be collectively corrected for a plurality of bridges is selected.   2. The bridge maintenance management plan support system according to claim 1, wherein the tabulating unit displays data related to the bridge together with at least one of a deterioration prediction result and a repair and reinforcement result. In the bridge maintenance management plan support method that provides information on bridges,
A deterioration standard that expresses the deterioration mechanism having at least one of neutralization or salt damage of the members constituting the bridge divided into deformation grades that are a plurality of ranks is provided in common for each deterioration mechanism, Numerically expressing the deformation standard for each of the deterioration mechanisms to be a threshold for each deformation grade,
Wherein when the degradation mechanism having a neutralization has established the threshold for each Deformation grade corresponding to the neutralization in neutralization rest, the neutralization of the steel material is assumed to begin to corrode when it is remaining values below the threshold value of the Deformation grade defined by the steel material amount of corrosion,
When having the salt damage on the degradation mechanism, the threshold value for each Deformation grade corresponding to the salt damage is determined by chloride ion concentration, the higher the chloride ion concentration the steel material is assumed to begin to corrode when it has established a threshold of the Deformation grade by the steel material amount of corrosion,
A deterioration prediction value is calculated by a deterioration prediction formula corresponding to each deterioration mechanism, the deterioration prediction value is compared with the threshold value, and the deformation grade of the deterioration mechanism is predicted.
Select the repair and reinforcement method corresponding to the above-mentioned deformation grade based on the countermeasure cost and the year of the countermeasure effect, and calculate the repair and reinforcement cost.
Aggregate and output the results calculated by the repair and reinforcement cost calculation means,
Bridge maintenance management support method characterized by this. A program that causes a computer to execute bridge maintenance management support.
A deterioration standard that expresses the deterioration mechanism having at least one of neutralization or salt damage of the members constituting the bridge divided into deformation grades that are a plurality of ranks is provided in common for each deterioration mechanism, Numerically expressing the deformation standard for each of the deterioration mechanisms to be a threshold for each deformation grade,
Wherein when the degradation mechanism having a neutralization has established the threshold for each Deformation grade corresponding to the neutralization in neutralization rest, the neutralization of the steel material is assumed to begin to corrode when it is remaining values below the threshold value of the Deformation grade defined by the steel material amount of corrosion,
When having the salt damage on the degradation mechanism, the threshold value for each Deformation grade corresponding to the salt damage is determined by chloride ion concentration, the higher the chloride ion concentration the steel material is assumed to begin to corrode when it has established a threshold of the Deformation grade by the steel material amount of corrosion,
A deterioration prediction function that calculates a deterioration prediction value by a deterioration prediction formula corresponding to each deterioration mechanism, compares the deterioration prediction value with the threshold value, and predicts the deformation grade of the deterioration mechanism;
A repair reinforcement cost calculation function for selecting a repair reinforcement construction method corresponding to the deformation grade based on a countermeasure cost and a countermeasure effect year, and calculating a repair reinforcement cost,
A totaling function for repairing and reinforcing costs for calculating and outputting the results calculated by the repairing and reinforcing cost calculating means; and
A program to make a computer realize. In the bridge maintenance management support system that provides information on bridges,
A deterioration standard that expresses the deterioration mechanism having at least one of neutralization or salt damage of the members constituting the bridge divided into deformation grades that are a plurality of ranks is provided in common for each deterioration mechanism, Numerically expressing the deformation standard for each of the deterioration mechanisms to be a threshold for each deformation grade,
Wherein when the degradation mechanism having a neutralization has established the threshold for each Deformation grade corresponding to the neutralization in neutralization rest, the neutralization of the steel material is assumed to begin to corrode when it is remaining values below the threshold value of the Deformation grade defined by the steel material amount of corrosion,
When having the salt damage on the degradation mechanism, the threshold value for each Deformation grade corresponding to the salt damage is determined by chloride ion concentration, the higher the chloride ion concentration the steel material is assumed to begin to corrode when it has established a threshold of the Deformation grade by the steel material amount of corrosion,
A maintenance management plan support for a bridge characterized in that a deterioration prediction value is calculated by a deterioration prediction formula corresponding to each deterioration mechanism, the deterioration prediction value is compared with the threshold value, and the deformation grade of the deterioration mechanism is predicted. system.