CN112487687A - Distributed cloud computing-based safety rapid evaluation system for large transport bridge - Google Patents
Distributed cloud computing-based safety rapid evaluation system for large transport bridge Download PDFInfo
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Abstract
The invention discloses a distributed cloud computing-based safety rapid evaluation system for a large transport bridge, which comprises a large transport bridge safety evaluation unit, a finite element computing unit, a cloud server, a simulation model library, a database and a Web client; the safety evaluation unit of the large transport bridge specifies an evaluation process and a checking and calculating standard; the finite element calculation unit develops a tool for checking the simulation model; the cloud server distributes computing resources according to rules to carry out simulation model computation; the simulation model simulates a concrete bridge structure; the database stores bridge basic information, technical condition information, a model library and the like; the Web client-side realizes data interaction with an external system, and a user starts rapid evaluation and presents evaluation results. The invention realizes the high-efficiency checking calculation analysis of the standard process and the automatic generation of the evaluation report, solves the problems of long time consumption for safety evaluation calculation of the large transport bridge and nonstandard and error-prone arrangement of the evaluation report, and supports flexible checking calculation standard modification.
Description
Technical Field
The invention relates to the technical field of civil engineering, in particular to a safety rapid evaluation system for a large transport bridge based on distributed cloud computing.
Background
With the continuous development of road traffic industry and national industrial facility construction, large-scale equipment such as generators, transformers, reactors, oil storage tanks and the like are frequently transported, the transport tonnage is increased year by year, and the transported equipment is mostly related to national civilization and most of the transported equipment has mandatory trafficability. The 'notice of the office hall of the department of transportation on further optimizing the work of the cross-provincial major transport parallel permission service' puts forward the requirement of perfecting a highway 'database' on the basis of the cross-provincial major transport parallel permission, and promotes the intelligent and rapid evaluation of the safety of major transport bridges. At present, due to the fact that no clear checking and calculating standard exists, each province carries out checking and calculating according to different methods, standardization degree is low, efficiency is low, and the ever-increasing large piece transportation passing requirements cannot be met.
The safety rapid evaluation method for the large transport bridge based on the distributed cloud computing realizes automatic grabbing of bridge basic information and technical condition information and avoids manual information collection; through distributed cloud computing, the computing resources are adjusted according to timeliness requirements; the two-stage checking calculation of the non-inductive finite element of the route bridge is realized, and calculation errors caused by manual misoperation are avoided; the automatic generation of the standardized report is realized, the workload of manual report editing is reduced, and the working efficiency is improved; the function of modifying the checking and calculating standard is provided on the basis of the secondary development of the finite element software, which has very important significance for the promotion of national networking approval work and indirectly ensures the safety of bridge structures and transportation safety.
Disclosure of Invention
In order to solve the limitations and defects in the prior art, the invention provides a safety rapid evaluation system for a large transport bridge based on distributed cloud computing, which comprises a large transport bridge safety evaluation unit, a finite element computing unit, a cloud server, a simulation model library, a database and a Web client;
the safety evaluation unit of the large transport bridge is additionally provided with an intermediate link of screening technical conditions on the basis of a two-stage method of live load effect comparison and bearing capacity checking calculation which are commonly used at present, and is used for guiding the establishment of a simulation model, the formulation of an evaluation standard and the division of checking calculation stages;
the finite element computing units adopt MIDS CIVIL and MIDS CIVIL DESIGNER and are installed on the cloud server;
the cloud server is used for reading a simulation model library model through the finite element computing unit, modifying model parameters and computing to generate a computing result file with a fixed format;
the calculation result file with the fixed format is automatically called through a Web client, the contents of the checking results are read for recombination calculation, and the calculation results are obtained according to the evaluation standard of the safety evaluation method;
the simulation model library is used for storing a rod system unit model of the bridge in the area, which is established according to a model standard;
the model standard comprises the requirements of structure group name, unit, node number, construction stage division, load combination, lane arrangement, impact coefficient and the like;
the database is used for storing the simulation model library, the bridge foundation information and the evaluation project information;
the Web client is used for interaction between the system and the user, data interaction with an external system, starting rapid evaluation, presenting evaluation results and generating an evaluation report according to a fixed template.
Optionally, the method further includes:
the screening of technical conditions is added in the middle of the two-stage live load effect comparison and bearing capacity checking method, whether structural cracks of mid-span vertical cracks or transverse cracks exist in the passing bridge or not is quickly searched through the database, and if structural cracks of the mid-span vertical cracks or transverse cracks exist at present, the bearing capacity checking is not executed any more;
and quickly searching whether structural cracks of the midspan vertical cracks or the transverse cracks exist once, and if the structural cracks of the midspan vertical cracks or the transverse cracks exist once, reducing the counter force in the checking calculation of the bearing capacity.
Optionally, the method further includes:
MIDS CIVIL and MIDS CIVIL DESIGNER of the finite element computing unit are developed for the second time, so that the finite element computing unit can be called by the Web client, and a standard computing file generated by two-stage computing can be read by the Web client;
the step of calculating the generated standard calculation file in two stages comprises a live load effect comparison stage and a bearing capacity checking stage;
the live load effect comparison stage comprises the following steps:
setting a bending moment of the target beam unit under the action of load;
setting the shearing force of the target beam unit under the action of load;
setting beam axial force of the target beam unit under the action of load;
setting a seven-degree-of-freedom effect of the target unit under the action of load;
setting the internal force of the target truss and cable unit under the action of load;
setting bending moment of the target beam unit under the action of large load;
setting the shearing force of the target beam unit under the action of a large load;
setting beam axial force of the target beam unit under the action of large load;
setting a seven-degree-of-freedom effect of a target unit under the action of a large load;
setting the internal force of the target truss and cable unit under the action of a large load;
the step of the bearing capacity checking stage comprises the following steps:
setting a bending resistance checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
setting a shearing-resistant checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
setting a positive section crack resistance checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
setting an oblique section crack resistance checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
setting a positive section compressive stress checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
setting a main compressive stress checking calculation result and a safety coefficient of the finite element model of the large transport vehicle;
setting a crack width checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
and setting a tensile stress checking calculation result and a safety factor of the tensile steel bar of the finite element model of the large transport vehicle.
Optionally, the method further includes:
installing MIDAS CIVIL and MIDAS CIVIL DESIGNER of the finite element computing unit on the cloud server;
and intelligently distributing the finite element models of the preset number in the simulation model library to the cloud servers of the preset number for calculation respectively by adopting a distributed cloud calculation technology according to the timeliness requirement of rapid evaluation.
Optionally, the method further includes:
establishing the simulation model library according to a standard;
determining a fixed structure group name, a unit number and a node number for a unit and a node which need to extract a calculation result;
for a large transport load, determining the name of a fixed large transport lane, the name of a vehicle, the name of a load working condition, the center position of the lane and the form of the vehicle load;
for the design load, determining a fixed design load lane name, a fixed vehicle name and a fixed load working condition name;
determining a fixed load combination name, a related load working condition name and a subentry coefficient for checking and calculating the bearing capacity;
determining a fixed construction stage definition mode;
and determining a fixed impact coefficient definition mode.
Optionally, the method further includes:
the Web client supports data interaction with a local bridge maintenance management system, and automatically captures bridge basic information and technical condition information;
the Web client adapts to the finite element computing unit and the cloud server for development, supports interaction of a finite element model and a computing result with the cloud server, supports input of route information and bridge information, establishment of a major transport evaluation project, checking of a bridge checking result along the line, modification of a checking standard, modification of a reduction coefficient and automatic generation of an evaluation report.
The invention has the following beneficial effects:
the invention realizes the automatic capture of the bridge basic information and the technical condition information from the bridge maintenance management system, improves the information collection efficiency and improves the integrity and the accuracy of data. According to the invention, through distributed cloud computing, the computing resources are adjusted according to the requirements, and the timeliness requirement of parallel connection permission of transprovincial large-piece transportation is met. The invention realizes two-stage checking calculation of the route bridge non-inductive finite element by combining WEB client development of finite element software secondary development, avoids calculation errors caused by manual misoperation, realizes automatic generation of standardized reports, lightens the workload of manual report editing, improves the working efficiency, provides a function of modifying checking calculation standards, and indirectly ensures the safety of bridge structures and transportation safety.
Drawings
Fig. 1 is a schematic structural diagram of a system for rapidly evaluating the security of a large transportation bridge based on distributed cloud computing according to an embodiment of the present invention.
Fig. 2 is a flowchart of a system for rapidly evaluating the security of a large transportation bridge based on distributed cloud computing according to an embodiment of the present invention.
Detailed Description
In order to enable those skilled in the art to better understand the technical solution of the present invention, the system for rapidly evaluating the security of a large transportation bridge based on distributed cloud computing according to the present invention is described in detail below with reference to the accompanying drawings.
Example one
The embodiment provides a system for rapidly evaluating the safety of a large transport bridge based on distributed cloud computing, which comprises a large transport bridge safety evaluation unit, a finite element computing unit, a cloud server, a simulation model library, a database and a Web client;
the safety evaluation unit of the large transport bridge is additionally provided with an intermediate link of screening technical conditions on the basis of a two-stage method of live load effect comparison and bearing capacity checking calculation which are commonly used at present, and is used for guiding the establishment of a simulation model, the formulation of an evaluation standard and the division of checking calculation stages;
the finite element computing units adopt MIDS CIVIL and MIDS CIVIL DESIGNER and are installed on the cloud server;
the cloud server is used for reading a simulation model library model through the finite element computing unit, modifying model parameters and computing to generate a computing result file with a fixed format;
the calculation result file with the fixed format is automatically called through a Web client, the contents of the checking results are read for recombination calculation, and the calculation results are obtained according to the evaluation standard of the safety evaluation method;
the simulation model library is used for storing a rod system unit model of the bridge in the area, which is established according to a model standard;
the model standard comprises the requirements of structure group name, unit, node number, construction stage division, load combination, lane arrangement, impact coefficient and the like;
the database is used for storing the simulation model library, the bridge foundation information and the evaluation project information;
the Web client is used for interaction between the system and the user, data interaction with an external system, starting rapid evaluation, presenting evaluation results and generating an evaluation report according to a fixed template.
Optionally, the method further includes:
the screening of technical conditions is added in the middle of the two-stage live load effect comparison and bearing capacity checking method, whether structural cracks of mid-span vertical cracks or transverse cracks exist in the passing bridge or not is quickly searched through the database, and if structural cracks of the mid-span vertical cracks or transverse cracks exist at present, the bearing capacity checking is not executed any more;
and quickly searching whether structural cracks of the midspan vertical cracks or the transverse cracks exist once, and if the structural cracks of the midspan vertical cracks or the transverse cracks exist once, reducing the counter force in the checking calculation of the bearing capacity.
Optionally, the method further includes:
MIDS CIVIL and MIDS CIVIL DESIGNER of the finite element computing unit are developed for the second time, so that the finite element computing unit can be called by the Web client, and a standard computing file generated by two-stage computing can be read by the Web client;
the step of calculating the generated standard calculation file in two stages comprises a live load effect comparison stage and a bearing capacity checking stage;
the live load effect comparison stage comprises the following steps:
setting a bending moment of the target beam unit under the action of load;
setting the shearing force of the target beam unit under the action of load;
setting beam axial force of the target beam unit under the action of load;
setting a seven-degree-of-freedom effect of the target unit under the action of load;
setting the internal force of the target truss and cable unit under the action of load;
setting bending moment of the target beam unit under the action of large load;
setting the shearing force of the target beam unit under the action of a large load;
setting beam axial force of the target beam unit under the action of large load;
setting a seven-degree-of-freedom effect of a target unit under the action of a large load;
setting the internal force of the target truss and cable unit under the action of a large load;
the step of the bearing capacity checking stage comprises the following steps:
setting a bending resistance checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
setting a shearing-resistant checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
setting a positive section crack resistance checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
setting an oblique section crack resistance checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
setting a positive section compressive stress checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
setting a main compressive stress checking calculation result and a safety coefficient of the finite element model of the large transport vehicle;
setting a crack width checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
and setting a tensile stress checking calculation result and a safety factor of the tensile steel bar of the finite element model of the large transport vehicle.
Optionally, the method further includes:
installing MIDAS CIVIL and MIDAS CIVIL DESIGNER of the finite element computing unit on the cloud server;
and intelligently distributing the finite element models of the preset number in the simulation model library to the cloud servers of the preset number for calculation respectively by adopting a distributed cloud calculation technology according to the timeliness requirement of rapid evaluation.
Optionally, the method further includes:
establishing the simulation model library according to a standard;
determining a fixed structure group name, a unit number and a node number for a unit and a node which need to extract a calculation result;
for a large transport load, determining the name of a fixed large transport lane, the name of a vehicle, the name of a load working condition, the center position of the lane and the form of the vehicle load;
for the design load, determining a fixed design load lane name, a fixed vehicle name and a fixed load working condition name;
determining a fixed load combination name, a related load working condition name and a subentry coefficient for checking and calculating the bearing capacity;
determining a fixed construction stage definition mode;
and determining a fixed impact coefficient definition mode.
Optionally, the method further includes:
the Web client supports data interaction with a local bridge maintenance management system, and automatically captures bridge basic information and technical condition information;
the Web client adapts to the finite element computing unit and the cloud server for development, supports interaction of a finite element model and a computing result with the cloud server, supports input of route information and bridge information, establishment of a major transport evaluation project, checking of a bridge checking result along the line, modification of a checking standard, modification of a reduction coefficient and automatic generation of an evaluation report.
In order to overcome the defects of the prior art, all technical problems solved by the embodiment are to provide a method for quickly evaluating the safety of a large transport bridge based on distributed cloud computing, so that the purposes of automatically capturing information, automatically generating a report, modifying an acceptance standard, integrating a distributed cloud computing technology and finally realizing quick evaluation are achieved.
Fig. 1 is a schematic structural diagram of a system for rapidly evaluating the security of a large transportation bridge based on distributed cloud computing according to an embodiment of the present invention. As shown in fig. 1, the embodiment provides a method for rapidly evaluating the safety of a large transport bridge based on distributed cloud computing, which includes a method for evaluating the safety of a large transport bridge, finite element computing software, a cloud server, a simulation model library, a database, and a Web client.
The safety assessment method for the large transport bridge is characterized in that an intermediate link of screening technical conditions is added on the basis of a two-stage method of live load effect comparison and bearing capacity checking calculation which are commonly used at present, and the intermediate link is used for guiding the establishment of a simulation model, the formulation of an assessment standard and the division of checking calculation stages.
The finite element calculation software adopts MIDAS CIVIL and MIDAS CIVIL DESIGNER and is installed in cloud service.
And the cloud server is used for reading the simulation model library model through finite element calculation software, modifying the model parameters and calculating to generate a calculation result file with a fixed format.
The calculation result file with the fixed format can be automatically called through a Web client, the contents of the checking results are read for recombination calculation, and the calculation results are obtained according to the evaluation standard of the safety evaluation method.
And the simulation model library is used for storing the rod system unit model of the bridge in the region established according to the model standard.
The model standards comprise the requirements of structure group names, unit and node numbers, construction stage division, load combination, lane arrangement, impact coefficients and the like.
And the database is used for storing a simulation model library, bridge basic information, evaluation project information and the like.
The Web client is used for interaction between the system and the user and data interaction with an external system, can start rapid evaluation and present evaluation results, and generates an evaluation report according to a fixed template.
According to the safety assessment method for the large transport bridge, the screening of technical conditions is added in the middle on the basis of two-stage methods of live load effect comparison and bearing capacity checking, whether structural cracks such as midspan vertical cracks and transverse cracks exist in the passing bridge or not is quickly searched through the database, and if the structural cracks exist at present, the bearing capacity checking is not executed any more. And (4) quickly searching whether structural cracks such as midspan vertical cracks and transverse cracks exist or not, and if so, reducing the resistance in the checking calculation of the bearing capacity.
Preferably, the safety rapid evaluation method for the large transport bridge based on the distributed cloud computing carries out secondary development on finite element computing software MIDAS CIVIL and MIDAS CIVIL DESIGNER, so that the finite element computing software can be called by a Web client, and standard computing files generated by two-stage computing can be read by the Web client.
The standard calculation file generated by the two-stage calculation comprises:
A. live load effect comparison stage:
A1. designing a bending moment of the target beam unit under the action of load;
A2. designing the shearing force of the target beam unit under the action of load;
A3. designing beam axial force of the target beam unit under the action of load;
A4. designing a seven-degree-of-freedom effect of the target unit under the action of load;
A5. designing the internal force of a target truss and cable unit under the action of load;
A6. bending moment of the target beam unit under the action of large load;
A7. shearing force of the target beam unit under the action of large load;
A8. the beam axial force of the target beam unit under the action of the large load;
A9. the seven-degree-of-freedom effect of the target unit under the action of the large piece load;
A10. the internal force of the target truss and cable unit under the action of large load;
B. and (3) carrying capacity checking and calculating stage:
B1. the bending resistance checking calculation result and the safety factor of the finite element model of the large transport vehicle are obtained;
B2. shearing-resisting checking calculation results and safety factors of the finite element model of the large transport vehicle;
B3. checking the calculation result and the safety factor of the front section crack resistance of the finite element model of the large transport vehicle;
B4. checking calculation results and safety factors of the oblique section crack resistance of the finite element model of the large transport vehicle;
B5. checking the calculation result and the safety factor of the compressive stress of the front section of the finite element model of the large transport vehicle;
B6. checking and calculating results and safety factors of main compressive stress of finite element models of large transport vehicles;
B7. checking the result and the safety factor of the finite element model crack width of the large transport vehicle;
B8. and (4) checking the tensile stress calculation result and the safety factor of the tensile steel bar of the finite element model of the large transport vehicle.
Preferably, the cloud servers adopted in the method for rapidly evaluating the safety of the large transport bridge based on the distributed cloud computing are installed with finite element computing software MIDAS CIVIL and MIDAS CIVIL DESIGNER.
In the method for rapidly evaluating the safety of the large transport bridge based on the distributed cloud computing, a distributed cloud computing technology is adopted in the embodiment, and the method is used for intelligently distributing a plurality of finite element models which need to be subjected to checking and calculating analysis in a simulation model library to a plurality of cloud servers for respective computing according to the timeliness requirement of rapid evaluation.
A safety rapid evaluation method for a large transport bridge based on distributed cloud computing is characterized in that a simulation model library is established according to standards. And determining the fixed structure group name, unit number and node number for the unit and node needing to extract the calculation result. And for the large transport load, determining the fixed name of a large transport lane, the name of a vehicle, the name of a load working condition, the center position of the lane and the load form of the vehicle. And determining the fixed lane name, vehicle name and load working condition name of the design load. And determining a fixed load combination name, a related load working condition name and a subentry coefficient for checking and calculating the bearing capacity. And determining a fixed construction stage definition mode. And determining a fixed impact coefficient definition mode.
According to the method for rapidly evaluating the safety of the large transport bridge based on the distributed cloud computing, a Web client supports data interaction with a local bridge maintenance management system, and automatic capture of bridge basic information and technical condition information is achieved.
According to the distributed cloud computing-based rapid safety assessment method for the major transport bridge, a Web client adapts to finite element computing software and a cloud server for development, interaction of a finite element model and a computing result with the cloud server is supported, route information and bridge information are supported to be input, a major transport assessment project is established, checking of a bridge checking result along the line is supported, checking standards are modified, reduction coefficients are modified, and an assessment report is automatically generated.
In order to better and clearly understand the technical problems, technical solutions and advantageous effects required to be solved by the present embodiment, the present embodiment is further described in detail below with reference to the accompanying drawings.
Fig. 2 is a flowchart of a system for rapidly evaluating the security of a large transportation bridge based on distributed cloud computing according to an embodiment of the present invention. As shown in fig. 2, the method for rapidly evaluating the safety of a large transportation bridge based on distributed cloud computing provided in this embodiment includes 9 steps, and the whole process is established on the basis of the method for evaluating the safety of a large transportation bridge, where step S1 and step S2 only need to be entered or captured once, steps S1-S5, step S7 and step S9 are implemented on the basis of a database and a simulation model library through a WEB client, and step S6 and step S8 are implemented on a cloud server on the basis of finite element computing software:
step S1: and the WEB client acquires and acquires the route and section information from the bridge maintenance management system used in each region.
Step S2: the WEB client acquires bridge foundation information from a bridge maintenance management system used in each region, wherein the bridge foundation information mainly comprises bridges, pile numbers, routes, road sections, structural forms, span combinations and the like.
Step S3: the WEB client acquires the information of the major transportation scheme from the major transportation networking approval management system used in each region, wherein the information mainly comprises axle number, axle load, axle distance, wheel distance, passing route, road section and the like, or the information is manually input.
Step S4: the system automatically calls the relevant bridge model from the simulation model library.
Step S5: and intelligently distributing the relevant bridge model to a cloud server for checking calculation according to the selected aging requirement.
Step S6: and (4) starting checking calculation work, automatically providing relevant information of the large transportation scheme according to the step S3 to modify the bridge model, comparing the axial force, the shearing force, the bending moment and the cable force data of the main bearing member under the action of the design load and the large transportation load, when any item of data of the control section under the action of the large transportation load does not exceed the effect of the design load, passing the checking calculation, finishing the evaluation, and carrying out the checking calculation according to the intelligent distribution condition sequence or the parallel checking calculation of the step S5 on all relevant bridge models.
Step S7: when a certain data of the control section under the action of the large transport load exceeds the effect of the design load, screening the technical condition of the related bridge, judging whether structural cracks exist or exist at present, checking and calculating when the structural cracks exist, ending the evaluation, and evaluating after the scheme is required to be modified.
Step S8-1: when structural cracks exist, carrying out bearing capacity checking calculation after the resistance of the bridge is reduced by referring to 'road bridge bearing capacity detection and evaluation rules', wherein the bearing capacity checking calculation comprises bearing capacity limit state checking calculation and normal use limit state checking calculation, when the checking calculation is passed, the evaluation is finished, and when the checking calculation is not passed, the evaluation is carried out after a scheme is required to be modified.
Step S8-2: and when no structural crack exists, carrying out carrying capacity checking calculation directly, wherein the carrying capacity limiting state checking calculation comprises carrying capacity limiting state checking calculation and normal use limiting state checking calculation, the checking calculation is passed, the evaluation is finished, and the evaluation is carried out after a scheme is required to be modified when the checking calculation is not passed.
The above steps S7 and S8 check the part of all the related bridge models with the check result of the step S6 exceeding the design load according to the intelligent distribution condition of the step S5 in sequence or in parallel.
And step 9: and automatically generating an evaluation report according to a report template established in advance according to the checking result.
The embodiment provides a distributed cloud computing-based method for rapidly evaluating the safety of a large transport bridge, which comprises a large transport bridge safety evaluation unit, a finite element computing unit, a cloud server, a simulation model library, a database and a Web client; the safety evaluation unit of the large transport bridge specifies an evaluation process and a checking and calculating standard; the finite element calculation unit is used for developing a tool for checking and calculating the simulation model; the cloud server is used for distributing computing resources according to rules to carry out simulation model computation; the simulation model simulates a concrete bridge structure; the database is used for storing bridge basic information, technical condition information, a model library and the like; and the Web client realizes data interaction with an external system, and a user starts rapid evaluation and presents an evaluation result. According to the method, on the basis of the cloud server and the simulation model library, the computing model and the computing resources are intelligently called by the Web client side to carry out evaluation and checking according to the safety evaluation method of the large transport bridge, so that the high-efficiency checking analysis of the standard process and the automatic generation of the evaluation report are realized, the problems that the safety evaluation and calculation of the large transport bridge are long in time consumption and the evaluation report is not standard in arrangement and is easy to make mistakes are solved, and the flexible correction of the checking standard is supported.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (6)
1. A safety rapid evaluation system for a large transport bridge based on distributed cloud computing is characterized by comprising a large transport bridge safety evaluation unit, a finite element computing unit, a cloud server, a simulation model library, a database and a Web client;
the safety evaluation unit of the large transport bridge is additionally provided with an intermediate link of screening technical conditions on the basis of a two-stage method of live load effect comparison and bearing capacity checking calculation which are commonly used at present, and is used for guiding the establishment of a simulation model, the formulation of an evaluation standard and the division of checking calculation stages;
the finite element computing units adopt MIDS CIVIL and MIDS CIVIL DESIGNER and are installed on the cloud server;
the cloud server is used for reading a simulation model library model through the finite element computing unit, modifying model parameters and computing to generate a computing result file with a fixed format;
the calculation result file with the fixed format is automatically called through a Web client, the contents of the checking results are read for recombination calculation, and the calculation results are obtained according to the evaluation standard of the safety evaluation method;
the simulation model library is used for storing a rod system unit model of the bridge in the area, which is established according to a model standard;
the model standard comprises the requirements of structure group name, unit, node number, construction stage division, load combination, lane arrangement, impact coefficient and the like;
the database is used for storing the simulation model library, the bridge foundation information and the evaluation project information;
the Web client is used for interaction between the system and the user, data interaction with an external system, starting rapid evaluation, presenting evaluation results and generating an evaluation report according to a fixed template.
2. The distributed cloud computing-based major transit bridge security rapid evaluation system of claim 1, further comprising:
the screening of technical conditions is added in the middle of the two-stage live load effect comparison and bearing capacity checking method, whether structural cracks of mid-span vertical cracks or transverse cracks exist in the passing bridge or not is quickly searched through the database, and if structural cracks of the mid-span vertical cracks or transverse cracks exist at present, the bearing capacity checking is not executed any more;
and quickly searching whether structural cracks of the midspan vertical cracks or the transverse cracks exist once, and if the structural cracks of the midspan vertical cracks or the transverse cracks exist once, reducing the counter force in the checking calculation of the bearing capacity.
3. The distributed cloud computing-based major transit bridge security rapid evaluation system of claim 1, further comprising:
MIDS CIVIL and MIDS CIVIL DESIGNER of the finite element computing unit are developed for the second time, so that the finite element computing unit can be called by the Web client, and a standard computing file generated by two-stage computing can be read by the Web client;
the step of calculating the generated standard calculation file in two stages comprises a live load effect comparison stage and a bearing capacity checking stage;
the live load effect comparison stage comprises the following steps:
setting a bending moment of the target beam unit under the action of load;
setting the shearing force of the target beam unit under the action of load;
setting beam axial force of the target beam unit under the action of load;
setting a seven-degree-of-freedom effect of the target unit under the action of load;
setting the internal force of the target truss and cable unit under the action of load;
setting bending moment of the target beam unit under the action of large load;
setting the shearing force of the target beam unit under the action of a large load;
setting beam axial force of the target beam unit under the action of large load;
setting a seven-degree-of-freedom effect of a target unit under the action of a large load;
setting the internal force of the target truss and cable unit under the action of a large load;
the step of the bearing capacity checking stage comprises the following steps:
setting a bending resistance checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
setting a shearing-resistant checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
setting a positive section crack resistance checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
setting an oblique section crack resistance checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
setting a positive section compressive stress checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
setting a main compressive stress checking calculation result and a safety coefficient of the finite element model of the large transport vehicle;
setting a crack width checking calculation result and a safety coefficient of a finite element model of the large transport vehicle;
and setting a tensile stress checking calculation result and a safety factor of the tensile steel bar of the finite element model of the large transport vehicle.
4. The distributed cloud computing-based major transit bridge security rapid evaluation system of claim 1, further comprising:
installing MIDAS CIVIL and MIDAS CIVIL DESIGNER of the finite element computing unit on the cloud server;
and intelligently distributing the finite element models of the preset number in the simulation model library to the cloud servers of the preset number for calculation respectively by adopting a distributed cloud calculation technology according to the timeliness requirement of rapid evaluation.
5. The distributed cloud computing-based major transit bridge security rapid evaluation system of claim 1, further comprising:
establishing the simulation model library according to a standard;
determining a fixed structure group name, a unit number and a node number for a unit and a node which need to extract a calculation result;
for a large transport load, determining the name of a fixed large transport lane, the name of a vehicle, the name of a load working condition, the center position of the lane and the form of the vehicle load;
for the design load, determining a fixed design load lane name, a fixed vehicle name and a fixed load working condition name;
determining a fixed load combination name, a related load working condition name and a subentry coefficient for checking and calculating the bearing capacity;
determining a fixed construction stage definition mode;
and determining a fixed impact coefficient definition mode.
6. The distributed cloud computing-based major transit bridge security rapid evaluation system of claim 1, further comprising:
the Web client supports data interaction with a local bridge maintenance management system, and automatically captures bridge basic information and technical condition information;
the Web client adapts to the finite element computing unit and the cloud server for development, supports interaction of a finite element model and a computing result with the cloud server, supports input of route information and bridge information, establishment of a major transport evaluation project, checking of a bridge checking result along the line, modification of a checking standard, modification of a reduction coefficient and automatic generation of an evaluation report.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114139413A (en) * | 2021-10-29 | 2022-03-04 | 山西省交通科技研发有限公司 | Large transport bridge traffic safety batch checking device based on MIDAS |
| CN116415507A (en) * | 2023-05-31 | 2023-07-11 | 四川省公路规划勘察设计研究院有限公司 | Big transportation bridge intelligent evaluation system based on big data and cloud computing |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105825014A (en) * | 2016-03-17 | 2016-08-03 | 中铁大桥勘测设计院集团有限公司 | Axle safety health assessment system and method based on axle coupling analysis |
| WO2018000561A1 (en) * | 2016-06-30 | 2018-01-04 | 东南大学 | Bridge testing and evaluation method and apparatus based on impact vibration |
| CN107612962A (en) * | 2017-07-31 | 2018-01-19 | 北京航天长征飞行器研究所 | A kind of distributed emulation evaluation test management system |
| CN111611634A (en) * | 2020-03-30 | 2020-09-01 | 南京震坤物联网科技有限公司 | Bridge health assessment system and health assessment method based on BIM-FEM |
-
2020
- 2020-12-07 CN CN202011416613.5A patent/CN112487687B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105825014A (en) * | 2016-03-17 | 2016-08-03 | 中铁大桥勘测设计院集团有限公司 | Axle safety health assessment system and method based on axle coupling analysis |
| WO2018000561A1 (en) * | 2016-06-30 | 2018-01-04 | 东南大学 | Bridge testing and evaluation method and apparatus based on impact vibration |
| CN107612962A (en) * | 2017-07-31 | 2018-01-19 | 北京航天长征飞行器研究所 | A kind of distributed emulation evaluation test management system |
| CN111611634A (en) * | 2020-03-30 | 2020-09-01 | 南京震坤物联网科技有限公司 | Bridge health assessment system and health assessment method based on BIM-FEM |
Non-Patent Citations (5)
| Title |
|---|
| GATTULLI V等: "Condition assessment by visual inspection for a bridge management system", 《COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING》 * |
| 崔鑫等: "不封闭交通空心板梁桥通行大件运输车评估与监测方法研究", 《公路》 * |
| 李建国: "虚拟化技术在高速公路收费业务系统中的应用", 《北方交通》 * |
| 赵庆云等: "超重大件运输通过公路桥梁的简化评估方法", 《山东交通科技》 * |
| 邵永军等: "大件运输车辆通行桥梁安全评估系统的研发", 《公路交通科技(应用技术版)》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114139413A (en) * | 2021-10-29 | 2022-03-04 | 山西省交通科技研发有限公司 | Large transport bridge traffic safety batch checking device based on MIDAS |
| CN114139413B (en) * | 2021-10-29 | 2024-05-28 | 山西省智慧交通研究院有限公司 | Large transportation bridge passing safety batch checking device based on MIDAS |
| CN116415507A (en) * | 2023-05-31 | 2023-07-11 | 四川省公路规划勘察设计研究院有限公司 | Big transportation bridge intelligent evaluation system based on big data and cloud computing |
| CN116415507B (en) * | 2023-05-31 | 2023-08-08 | 四川省公路规划勘察设计研究院有限公司 | Big transportation bridge intelligent evaluation system based on big data and cloud computing |
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