CN105354629A - Prediction system for roadbed settlement of expressway in soft soil area - Google Patents
Prediction system for roadbed settlement of expressway in soft soil area Download PDFInfo
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The present invention provides a prediction system and method for roadbed settlement of an expressway in a soft soil area. The system comprises: a model construction unit, used for constructing a roadbed settlement model by using a hyperbola method, a three-point method and an Asaoka method; an input unit, used for inputting settlement data, prediction time, and the prediction method, wherein the settlement data are monitored data comprising accumulated time and corresponding settlement values; a settlement volume prediction unit, used for obtaining a plurality of predicted settlement volumes in the period from final accumulated time to the prediction time by importing the settlement data input by the input unit into the roadbed settlement model constructed by the model construction unit; and a display unit, used for generating a relationship diagram of accumulated settlement volumes and the accumulated time according to the settlement data input by the input unit and the predicted settlement volumes predicted by the settlement volume prediction unit. According to the roadbed settlement prediction system, the settlement volume in the future is automatically predicted according to the monitored settlement data.
Description
Technical field
The present invention relates to express highway roadbed engineering field, specifically, relate to a kind of prognoses system for Soft Soil Area Subgrade Settlement of Expressways.
Background technology
Southwestern China area Large scale construction phase of entering of highway in recent years, the weak soil extensively distributed in southwest usually needs to carry out special basement process due to its distinctive engineering geological property, and the quality of Soft Soil Area basement process and the construction quality of highway directly related, this necessary raising and pay attention to the quality of basement process of making use of momentum.The effect assessment of basement process depends on settlement of highway evaluation work to a great extent.Expressway construction engineering scale is large, and technical standard is high, and construction speed is fast, and evaluation work amount is huge, and data processing amount usually reaches 1,000,000 grades.Therefore, utilize the software of specialty to manage a large amount of settlement monitoring data, Automatic inquirying is realized to all settling datas, automatic Prediction is carried out to the sedimentation of construction time and operation any time phase, there is important engineering significance.
Numerous for present stage settlement of soft foundation Forecasting Methodology, be difficult to again accept or reject, and amount of calculation is large, the level of informatization is low, and work efficiency is also very low, and a large amount of data are observed in working-yard in addition, process and the management of these data are all artificial, are easy to the mistake causing data.And the analysis of Monitoring Result and the application of data are also seemed single, need to be undertaken managing and analyzing by exclusive data process software.At present, domesticly to make substantial progress in the work of settlement of highway analysis and evaluation, but lack settlement observation data management targetedly and analyses and prediction software, be necessary carrying out settlement of highway deformation observation and appraisal procedure on the basis studied further, set up a set of science, the highway Highway Settlement deformation observation of system and evaluating system.
Summary of the invention
In view of the above problems, the object of this invention is to provide a kind of can the system and method for automatic Prediction Soft Soil Area Subgrade Settlement of Expressways.
According to an aspect of the present invention, a kind of Soft Soil Area Subgrade Settlement of Expressways prognoses system is provided, comprises: Construction of A Model unit, utilize hyperbolic method, three point method and Asaoka method (shallow hilllock method) to set up subgrade settlement model; Input block, input settling data, predicted time, Forecasting Methodology, wherein, described settling data is the data comprising the sedimentation value of cumulative time and correspondence thereof of having monitored; Described Forecasting Methodology be empty or comprise in hyperbolic method, three point method and Asaoka method one or more; Predicting subsidence unit, the settling data inputted by input block imports the subgrade settlement model of Construction of A Model cell formation, obtains the final cumulative time to the multiple Predicted settlement amounts in predicted time; Display unit, generates accumulative settling amount and the graph of a relation of cumulative time according to the settling data of input block input and the Predicted settlement amount of predicting subsidence unit prediction.
According to another aspect of the present invention, a kind of Soft Soil Area Subgrade Settlement of Expressways Forecasting Methodology is provided, comprises: utilize hyperbolic method, three point method and Asaoka method to set up subgrade settlement model; Input settling data, predicted time, Forecasting Methodology, wherein, described settling data is the data comprising the sedimentation value of cumulative time and correspondence thereof of having monitored; Described Forecasting Methodology is empty or one or more in input hyperbolic method, three point method and Asaoka method; Judge the kind of the Forecasting Methodology of input; If the Forecasting Methodology of input comprises hyperbolic method, according to the settling data of input, hyperbolic method Subgrade Settlement is utilized to predict; If the Forecasting Methodology of input comprises three point method, according to the settling data of input, three point method Subgrade Settlement is utilized to predict; If the Forecasting Methodology of input comprises Asaoka method, according to the settling data of input, Asaoka method Subgrade Settlement is utilized to predict; If the Forecasting Methodology of input is empty, according to the settling data of input, hyperbolic curve, three point method and Asaoka method Subgrade Settlement is utilized to predict; Accumulative settling amount and the graph of a relation of cumulative time is generated according to the settling data of input and multiple Predicted settlement amounts of prediction.
Soft Soil Area of the present invention Subgrade Settlement of Expressways prognoses system, three kinds of forecast models are summed up Modling model storehouse, hyperbolic method, three point method and Asaoka method predictor is utilized to predict any time and final settlement in the monitoring phase and in the operation phase, and automatically draw accumulative sedimentation and cumulative time graph of a relation, greatly improve automaticity and the intuitive of settlement of soft foundation prediction.
Accompanying drawing explanation
By reference to following embodiment and claims content and by reference to the accompanying drawings, other object of the present invention and result will be understood and easy to understand more.In the accompanying drawings:
Fig. 1 is the formation block diagram of Soft Soil Area of the present invention Subgrade Settlement of Expressways prognoses system;
Fig. 2 is the formation block diagram of predicting subsidence unit of the present invention;
Fig. 3 is the schematic diagram of display unit of the present invention;
Fig. 4 is the process flow diagram of Soft Soil Area of the present invention Subgrade Settlement of Expressways Forecasting Methodology;
Fig. 5 is that the present invention utilizes three point method to the process flow diagram of Soft Soil Area Subgrade Settlement of Expressways Forecasting Methodology;
Fig. 6 is that the present invention screens settling data, finds the process flow diagram of the method for three sedimentation values meeting the even time interval that three point method requires;
Fig. 7 is the schematic diagram that the present invention meets time point corresponding to three sedimentation values that three point method requires;
Fig. 8 is that the present invention utilizes Asaoka method to the process flow diagram of Soft Soil Area Subgrade Settlement of Expressways Forecasting Methodology;
Fig. 9 screens settling data, finds the process flow diagram meeting a the cumulative time that Asaoka method requires of even time interval.
In the accompanying drawings, identical Reference numeral indicates similar or corresponding feature or function.
Embodiment
In the following description, for purposes of illustration, in order to provide the complete understanding to one or more embodiment, many details have been set forth.But, clearly, also these embodiments can be realized when there is no these details.In other example, one or more embodiment for convenience of description, known structure and equipment illustrate in block form an.
Come below with reference to accompanying drawings to be described in detail each embodiment according to the present invention.
Fig. 1 is the formation block diagram of Soft Soil Area of the present invention Subgrade Settlement of Expressways prognoses system, and as shown in Figure 1, described Ground Settlement system 100 comprises:
Construction of A Model unit 110, hyperbolic method, three point method and Asaoka method (shallow hilllock method) is utilized to set up subgrade settlement model, wherein, Construction of A Model unit 110 comprises: the first Construction of A Model unit 111, utilizes hyperbolic method to set up hyperbolic curve subgrade settlement model; Second Construction of A Model unit 112, utilizes three point method to set up 3 subgrade settlement models; 3rd Construction of A Model unit 113, utilizes Asaoka method to set up shallow hilllock subgrade settlement model;
Input block 120, input settling data, predicted time, Forecasting Methodology, wherein, described settling data is the data comprising the sedimentation value of cumulative time and correspondence thereof of having monitored, described Forecasting Methodology be empty or comprise in hyperbolic method, three point method and Asaoka method one or more;
Predicting subsidence unit 130, the settling data inputted by input block 120 imports the subgrade settlement model that Construction of A Model unit 110 builds, and obtains the final cumulative time to the multiple Predicted settlement amounts in predicted time;
Display unit 140, the Predicted settlement amount that the settling data inputted according to input block 120 and predicting subsidence unit 130 are predicted generates accumulative settling amount and the graph of a relation of cumulative time.
The model of the embedded three kinds of reliable and stable Soft Soil Area settlement of highway predictions of Ground Settlement system 100 of the present invention, multiple method can be adopted to carry out the contrast forecast analysis of random time point simultaneously, forecast analysis process have passed through the inspection of some canonical function curve datas and Soft Soil Area highway measured data, has good applicability, Stability and veracity for Soft Soil Area settlement of highway observed deformation data.In addition, the mode that this roadbed Predicted settlement system shows with figure provides settling process line intuitively, effectively improves the efficiency of analysis by sedimentation work.
Preferably, Ground Settlement system 100 also comprises:
Database 150, for storing settling data and Predicted settlement amount;
Query unit 160, input block input needs the appointment moment of inquiry, transfers the settling amount of specifying the moment corresponding, be transferred to display unit 130 and show from database 140.
Ground Settlement system 100 of the present invention employing database 150 manages and processes the site observation date of magnanimity, enhance the automaticity of Ground Settlement, and all settling data Automatic inquirying can be realized, carry out automatically pre-to the sedimentation of construction time and operation any time phase.
Fig. 2 is the formation block diagram of predicting subsidence unit of the present invention, and as shown in Figure 2, described predicting subsidence unit 130 comprises:
First judging unit 131, judges the kind of the Forecasting Methodology that input block 120 inputs; If the Forecasting Methodology of single 120 inputs of input comprises hyperbolic method, send a signal to hyperbolic curve predicting unit 132; If the Forecasting Methodology that input block 120 inputs comprises three point method, send a signal to three point prediction unit 133; If the Forecasting Methodology that input block 120 inputs comprises Asaoka method, send a signal to shallow hilllock predicting unit 134; If the Forecasting Methodology that input block 120 inputs is empty, send a signal to hyperbolic curve predicting unit 132, three point prediction unit 133 and shallow hilllock predicting unit 134;
Hyperbolic curve predicting unit 132, receive the signal of the first judging unit 131, then data transfer instruction is sent to input block 120, the settling data that input block 120 is inputted is transferred to the hyperbolic curve subgrade settlement model that Construction of A Model unit 110 builds, and utilizes hyperbolic method to obtain the final cumulative time to the multiple Predicted settlement amounts in predicted time;
Three point prediction unit 133, receive the signal of the first judging unit 131, then data transfer instruction is sent to input block 120, the settling data that input block 120 is inputted is transferred to 3 subgrade settlement models that Construction of A Model unit 110 builds, and utilizes three point methods to obtain the final cumulative time to the multiple Predicted settlement amounts in predicted time;
Shallow hilllock predicting unit 134, receive the signal of the first judging unit 131, then data transfer instruction is sent to input block 120, the settling data that input block 120 is inputted is transferred to the shallow hilllock subgrade settlement model that Construction of A Model unit 110 builds, and utilizes Asaoka method to obtain the final cumulative time to the multiple Predicted settlement amounts in predicted time.
Wherein, three point prediction unit 133 comprise:
First screening unit 1330, filters out three cumulative times of even time interval and the sedimentation value of correspondence thereof that meet three point method requirement from settling data;
Second judging unit 1331, judges whether the first screening unit 1330 filters out satisfactory three cumulative times, if filter out satisfactory three cumulative times, the sedimentation value of three cumulative times and correspondence thereof is transferred to 3 subgrade settlement models; If do not filter out three cumulative times, then send alerting signal to display unit 140, prompting user cannot adopt three point method to predict subgrade settlement.
Wherein, shallow hilllock predicting unit 134 comprises:
First determining unit 1340: determine to utilize Asaoka method to realize the quantity a of the sedimentation value required for Ground Settlement;
Second screening unit 1341, filters out a cumulative time of even time interval and the sedimentation value of correspondence thereof from the settling data of input block input;
3rd judging unit 1342, judges whether the second screening unit 1341 filters out a satisfactory a cumulative time, if filter out a satisfactory a cumulative time, the sedimentation value of a cumulative time and correspondence thereof is transferred to shallow hilllock subgrade settlement model; If do not filter out a cumulative time, then send alerting signal to display unit 140, prompting user cannot adopt Asaoka method to predict subgrade settlement.
Fig. 3 is display unit schematic diagram of the present invention, and as shown in Figure 3, display unit 140 comprises:
Import module 141: import the store path of settling data at database 150 by the button that opens file;
Input display module 142, the Forecasting Methodology that display input block 120 inputs and predicted time (a certain moment display field of the appointment in Fig. 3), preferably, also show the last cumulative time (stopping in Fig. 3 loads moment display field);
Start to predict enable key 143, control settlement amount predicting unit 130 starts Predicted settlement amount;
Data disaply moudle 144: the cumulative time of the accumulative settling amount that the settling data in the store path that display importing module imports and predicting unit 130 are predicted and correspondence thereof;
Image display module 145: the accumulative settling amount of display and the graph of a relation of cumulative time;
Result display module 146: the Predicted settlement amount that display predicted time is corresponding and final settlement.
There is relation one to one in " cumulative time " and " sedimentation value " that data disaply moudle 144 shows, click " cumulative time " or " sedimentation value " any one, another will show automatically, realizes the Automatic inquirying of settling data.The display shown from image display module 145 adds up settling amount and cumulative time graph of a relation, intuitively can find out the general trend that sedimentation develops.
Fig. 4 is the process flow diagram of Soft Soil Area of the present invention Subgrade Settlement of Expressways Forecasting Methodology, and as shown in Figure 4, described Soft Soil Area Subgrade Settlement of Expressways Forecasting Methodology comprises:
First, in step S410, utilize hyperbolic method, three point method and Asaoka method to set up subgrade settlement model;
In the step s 420, input settling data, predicted time, Forecasting Methodology, wherein, described settling data is the data comprising the sedimentation value of cumulative time and correspondence thereof of having monitored; Described Forecasting Methodology is empty or one or more in input hyperbolic method, three point method and Asaoka method;
In step S430, judge the kind of the Forecasting Methodology of input;
If the Forecasting Methodology of input comprises hyperbolic method, in step S430a, according to the settling data of input, hyperbolic method Subgrade Settlement is utilized to predict;
If the Forecasting Methodology of input comprises three point method, in step S430b, according to the settling data of input, three point method Subgrade Settlement is utilized to predict;
If the Forecasting Methodology of input comprises Asaoka method, in step S430c, according to the settling data of input, Asaoka method Subgrade Settlement is utilized to predict;
If the Forecasting Methodology of input is empty, according to the settling data of input, hyperbolic curve, three point method and Asaoka method Subgrade Settlement is utilized to predict;
In step S440, generate accumulative settling amount and the graph of a relation of cumulative time according to the settling data of input and multiple Predicted settlement amounts of prediction.
Preferably, described Soft Soil Area Subgrade Settlement of Expressways Forecasting Methodology also comprises:
In the data of Predicted settlement amount, the Predicted settlement amount that inquiry specifies the moment corresponding.
Fig. 5 is that the present invention utilizes three point method to the process flow diagram of Soft Soil Area Subgrade Settlement of Expressways Forecasting Methodology, and as shown in Figure 5, the described three point method that utilizes comprises the method that Soft Soil Area Subgrade Settlement of Expressways is predicted:
In step S510, settling data is screened, find three cumulative times of even time interval and the sedimentation value of correspondence thereof that meet three point method requirement;
In step S520, judge whether to exist three cumulative times meeting the even time interval that three point method requires;
If there are satisfactory three cumulative times, in step S530, according to the settling data of input and the sedimentation value of satisfactory three cumulative times and correspondence thereof, three point method Subgrade Settlement is utilized to predict;
If there are not satisfactory three cumulative times, in step S540, send alerting signal to display unit, prompting user cannot adopt three point method to predict subgrade settlement.
Fig. 6 is that the present invention screens settling data, find the process flow diagram of the method for three sedimentation values meeting the even time interval that three point method requires, Fig. 7 is the schematic diagram that the present invention meets time point corresponding to three sedimentation values that three point method requires, wherein horizontal ordinate t is time shaft, the positive dirction p of ordinate is filled height value, and the negative direction s of ordinate is settlement.S1, s2, s3 be respectively with time point t1, t2, t3 settling amount one to one, s ∞ is tending towards settlement corresponding to infinitely-great time point.As shown in Figures 6 and 7, describedly to screen settling data, the method finding three sedimentation values meeting the even time interval that three point method requires comprises:
In step S610, carry out matching to the settling data of having monitored, the sedimentation matched curve drawn and the intersection point of time shaft are as the very first time point t stopped after load application
1, or first that detects settling data corresponding cumulative time as very first time is put t
1;
In step S620, using the cumulative time corresponding for the last point that detects settling data as the 3rd time point t
3;
In step S630, the very first time will put t
1with the 3rd time point t
3interlude is obtained o'clock as the second time point t after average
2;
In step S640, judge in the settling data of having monitored, whether there is the second time point t
2;
If there is the second time point t
2, screening completes;
If there is not the second time point t
2, get in step S650 and the second time point t
2the immediate cumulative time in moment is as the second time point t
2.
Above-mentioned three constant duration point t
1, t
2, t
3, at guarantee t
2-t
1=t
3-t
2prerequisite under make t
2-t
1and t
3-t
2value reach maximum, at utmost guarantee the accuracy that the method is predicted.
Fig. 8 is that the present invention utilizes Asaoka method to the process flow diagram of Soft Soil Area Subgrade Settlement of Expressways Forecasting Methodology, and as shown in Figure 8, the described Asaoka of utilization method comprises the method that Soft Soil Area Subgrade Settlement of Expressways is predicted:
In step S810, setting utilizes Asaoka method to realize the quantity a of the sedimentation value required for Ground Settlement, and preferably, a is 10;
In step S820, settling data is screened, find a the cumulative time meeting the requirement of Asaoka method of even time interval;
In step S830, judge whether to exist a the cumulative time meeting Asaoka method requirement even time interval:
If there is a satisfactory a cumulative time, in step S840, according to the settling data of input, the sedimentation value of a satisfactory a cumulative time and correspondence thereof, Asaoka method is utilized to predict the subgrade settlement in fixed time section;
If there is not a satisfactory a cumulative time, in step S850, send alerting signal to display unit, prompting user cannot adopt Asaoka method to predict subgrade settlement.
Fig. 9 screens settling data, and find the process flow diagram meeting a the cumulative time that Asaoka method requires of even time interval, as shown in Figure 9, described method comprises:
In step S910, from the settling data of having monitored, take out first cumulative time to a cumulative time, sentence a cumulative time whether even time interval;
In step S920, from the settling data of having monitored, get second cumulative time to a+1 cumulative time, sentence a cumulative time whether even time interval;
In step S930, repeat above-mentioned steps, until in the settling data of having monitored all cumulative times through above-mentioned judgement;
In step S940, judge the group number meeting a even time interval cumulative time;
If fruit group number is 0, in step S950, send alerting signal to display unit, prompting user cannot adopt Asaoka method to predict subgrade settlement;
If group number is 1, screening completes;
If group number is greater than 1, in step S960, get nearest apart from last cumulative time and a data meeting even time interval as a the cumulative time meeting the requirement of Asaoka method.
Although disclosed content shows exemplary embodiment of the present invention above, it should be noted that under the prerequisite not deviating from the scope that claim limits, can multiple change and amendment be carried out.Need not perform with any particular order according to the function of the claim to a method of inventive embodiments described herein, step and/or action.In addition, although element of the present invention can describe or requirement with individual form, also it is contemplated that to have multiple element, is individual element unless explicitly limited.
Claims (10)
1. a Soft Soil Area Subgrade Settlement of Expressways prognoses system, comprising:
Construction of A Model unit, utilizes hyperbolic method, three point method and Asaoka method (shallow hilllock method) to set up subgrade settlement model;
Input block, input settling data, predicted time, Forecasting Methodology, wherein, described settling data is the data comprising the sedimentation value of cumulative time and correspondence thereof of having monitored, described Forecasting Methodology be empty or comprise in hyperbolic method, three point method and Asaoka method one or more;
Predicting subsidence unit, the settling data inputted by input block imports the subgrade settlement model of Construction of A Model cell formation, obtains the final cumulative time to the multiple Predicted settlement amounts in predicted time;
Display unit, generates accumulative settling amount and the graph of a relation of cumulative time according to the settling data of input block input and the Predicted settlement amount of predicting subsidence unit prediction.
2. Ground Settlement system according to claim 1, wherein, also comprises:
Database, for storing settling data and Predicted settlement amount;
Query unit, input block input needs the appointment moment of inquiry, transfers the settling amount of specifying the moment corresponding, be transferred to display unit and show from database.
3. Ground Settlement system according to claim 1, wherein, described predicting subsidence unit comprises:
First judging unit, judges the kind of the Forecasting Methodology that input block inputs; If the Forecasting Methodology of input single input comprises hyperbolic method, send a signal to hyperbolic curve predicting unit; If the Forecasting Methodology of input block input comprises three point method, send a signal to three point prediction unit; If the Forecasting Methodology of input block input comprises Asaoka method, send a signal to shallow hilllock predicting unit; If the Forecasting Methodology of input block input is empty, send a signal to hyperbolic curve predicting unit, three point prediction unit and shallow hilllock predicting unit;
Hyperbolic curve predicting unit, receive the signal of the first judging unit, then data transfer instruction is sent to input block, the settling data that input block is inputted is transferred to the hyperbolic curve subgrade settlement model that Construction of A Model unit 110 builds, and utilizes hyperbolic method to obtain the final cumulative time to the multiple Predicted settlement amounts in predicted time;
Three point prediction unit, receive the signal of the first judging unit, then data transfer instruction is sent to input block, the settling data that input block is inputted is transferred to 3 subgrade settlement models of Construction of A Model cell formation, utilizes three point methods to obtain the final cumulative time to the multiple Predicted settlement amounts in predicted time;
Shallow hilllock predicting unit, receive the signal of the first judging unit, then data transfer instruction is sent to input block, the settling data that input block is inputted is transferred to the shallow hilllock subgrade settlement model of Construction of A Model cell formation, utilizes Asaoka method to obtain the final cumulative time to the multiple Predicted settlement amounts in predicted time.
4. Ground Settlement system according to claim 3, wherein, described three point prediction unit comprise:
First screening unit, filters out three cumulative times of even time interval and the sedimentation value of correspondence thereof that meet three point method requirement from settling data;
Second judging unit, judges whether the first screening unit filters out satisfactory three cumulative times, if filter out satisfactory three cumulative times, the sedimentation value of three cumulative times and correspondence thereof is transferred to 3 subgrade settlement models; If do not filter out three cumulative times, then send alerting signal to display unit, prompting user cannot adopt three point method to predict subgrade settlement.
5. Ground Settlement system according to claim 3, wherein, described shallow hilllock predicting unit comprises:
First determining unit: determine to utilize Asaoka method to realize the quantity a of the sedimentation value required for Ground Settlement;
Second screening unit, filters out a cumulative time of even time interval and the sedimentation value of correspondence thereof from the settling data of input block input;
3rd judging unit, judges whether the second screening unit filters out a satisfactory a cumulative time, if filter out a satisfactory a cumulative time, the sedimentation value of a cumulative time and correspondence thereof is transferred to shallow hilllock subgrade settlement model; If do not filter out a cumulative time, then send alerting signal to display unit, prompting user cannot adopt Asaoka method to predict subgrade settlement.
6. a Soft Soil Area Subgrade Settlement of Expressways Forecasting Methodology, comprising:
Hyperbolic method, three point method and Asaoka method is utilized to set up subgrade settlement model;
Input settling data, predicted time, Forecasting Methodology, wherein, described settling data is the data comprising the sedimentation value of cumulative time and correspondence thereof of having monitored, and described Forecasting Methodology is empty or one or more in input hyperbolic method, three point method and Asaoka method;
Judge the kind of the Forecasting Methodology of input;
If the Forecasting Methodology of input comprises hyperbolic method, according to the settling data of input, hyperbolic method Subgrade Settlement is utilized to predict;
If the Forecasting Methodology of input comprises three point method, according to the settling data of input, three point method Subgrade Settlement is utilized to predict;
If the Forecasting Methodology of input comprises Asaoka method, according to the settling data of input, Asaoka method Subgrade Settlement is utilized to predict;
If the Forecasting Methodology of input is empty, according to the settling data of input, hyperbolic curve, three point method and Asaoka method Subgrade Settlement is utilized to predict;
Accumulative settling amount and the graph of a relation of cumulative time is generated according to the settling data of input and multiple Predicted settlement amounts of prediction.
7. Ground Settlement method according to claim 6, wherein, also comprises:
In the data of Predicted settlement amount, the Predicted settlement amount that inquiry specifies the moment corresponding.
8. Ground Settlement method according to claim 6, wherein, the described three point method that utilizes comprises the method that Soft Soil Area Subgrade Settlement of Expressways is predicted:
Settling data is screened, find three cumulative times of even time interval and the sedimentation value of correspondence thereof that meet three point method requirement, wherein, comprising: carry out matching to the settling data of having monitored, the sedimentation matched curve drawn and the intersection point of time shaft are as the very first time point t stopped after load application
1, or first that detects settling data corresponding cumulative time as very first time is put t
1; Using the cumulative time corresponding for the last point detecting settling data as the 3rd time point t
3; The very first time will put t
1with the 3rd time point t
3interlude is obtained o'clock as the second time point t after average
2; Judge in the settling data of having monitored, whether there is the second time point t
2; If there is the second time point t
2, screening completes; If there is not the second time point t
2, with the second time point t
2the immediate cumulative time in moment is as the second time point t
2;
Judge whether to exist three cumulative times meeting the even time interval that three point method requires;
If there are satisfactory three cumulative times, according to the settling data of input and the sedimentation value of satisfactory three cumulative times and correspondence thereof, three point method Subgrade Settlement is utilized to predict;
If there are not satisfactory three cumulative times, send alerting signal to display unit, prompting user cannot adopt three point method to predict subgrade settlement.
9. Ground Settlement method according to claim 6, wherein, the described Asaoka of utilization method comprises the method that Soft Soil Area Subgrade Settlement of Expressways is predicted:
Setting utilizes Asaoka method to realize the quantity a of the sedimentation value required for Ground Settlement;
Settling data is screened, finds a the cumulative time meeting the requirement of Asaoka method of even time interval;
Judge whether to exist and meet a the cumulative time that Asaoka method requires even time interval;
If there is a satisfactory a cumulative time, according to the settling data of input, the sedimentation value of a satisfactory a cumulative time and correspondence thereof, Asaoka method Subgrade Settlement is utilized to predict;
If there is not a satisfactory a cumulative time, send alerting signal to display unit, prompting user cannot adopt Asaoka method to predict subgrade settlement.
10. Ground Settlement method according to claim 9, wherein, describedly to screen settling data, and the method meeting a the cumulative time that Asaoka method requires finding even time interval comprises:
From the settling data of having monitored, take out first cumulative time to a cumulative time, sentence a cumulative time whether even time interval;
From the settling data of having monitored, get second cumulative time to a+1 cumulative time, sentence a cumulative time whether even time interval;
Repeat above-mentioned steps, until in the settling data of having monitored all cumulative times through above-mentioned judgement;
Judge the group number meeting a even time interval cumulative time;
If group number is 0, send alerting signal to display unit, prompting user cannot adopt Asaoka method to predict subgrade settlement;
If group number is 1, screening completes;
If group number is greater than 1, get nearest apart from last cumulative time and a data meeting even time interval as a the cumulative time meeting the requirement of Asaoka method.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106407593A (en) * | 2016-10-10 | 2017-02-15 | 哈尔滨理工大学 | High-speed railway subgrade settlement prediction system based on GEP |
| CN106649970A (en) * | 2016-10-31 | 2017-05-10 | 重庆三峡学院 | Highway subgrade settlement prediction system in soft soil area |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106407593A (en) * | 2016-10-10 | 2017-02-15 | 哈尔滨理工大学 | High-speed railway subgrade settlement prediction system based on GEP |
| CN106649970A (en) * | 2016-10-31 | 2017-05-10 | 重庆三峡学院 | Highway subgrade settlement prediction system in soft soil area |
| CN106777647A (en) * | 2016-10-31 | 2017-05-31 | 重庆三峡学院 | A kind of Forecasting Methodology of road foundation sedimentation |
| CN106649970B (en) * | 2016-10-31 | 2019-08-30 | 重庆三峡学院 | Soft Soil Area highway subgrade settlement forecast system |
| CN106777647B (en) * | 2016-10-31 | 2019-09-24 | 重庆三峡学院 | A kind of prediction technique of road foundation sedimentation |
| CN106908032A (en) * | 2017-03-06 | 2017-06-30 | 兰州交通大学 | A kind of method of Soil-cement Residual Settlement of Composite Foundation prediction |
| CN108470225A (en) * | 2018-03-21 | 2018-08-31 | 广东省交通规划设计研究院股份有限公司 | The sedimentation information forecasting method and forecasting system of roadbed |
| CN108470225B (en) * | 2018-03-21 | 2021-03-02 | 广东省交通规划设计研究院股份有限公司 | Roadbed settlement information prediction method and prediction system |
| CN108981657A (en) * | 2018-07-09 | 2018-12-11 | 中国二十冶集团有限公司 | The monitoring and analysis method of peat soil soft soil roadbed settlement |
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