CN111259594A - Long-term post-construction settlement prediction method based on settlement monitoring result of filling engineering - Google Patents
Long-term post-construction settlement prediction method based on settlement monitoring result of filling engineering Download PDFInfo
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- CN111259594A CN111259594A CN202010085356.5A CN202010085356A CN111259594A CN 111259594 A CN111259594 A CN 111259594A CN 202010085356 A CN202010085356 A CN 202010085356A CN 111259594 A CN111259594 A CN 111259594A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 75
- 238000010276 construction Methods 0.000 title claims abstract description 38
- 238000000034 method Methods 0.000 title claims abstract description 28
- 230000007774 longterm Effects 0.000 title claims abstract description 25
- 238000004364 calculation method Methods 0.000 claims abstract description 17
- 238000004458 analytical method Methods 0.000 claims abstract description 8
- 239000002689 soil Substances 0.000 claims abstract description 7
- 238000012360 testing method Methods 0.000 claims abstract description 4
- 238000006073 displacement reaction Methods 0.000 claims abstract description 3
- 238000005259 measurement Methods 0.000 claims description 8
- 238000005457 optimization Methods 0.000 claims description 6
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 230000002068 genetic effect Effects 0.000 claims description 3
- 238000000691 measurement method Methods 0.000 abstract description 3
- 238000004062 sedimentation Methods 0.000 description 8
- 238000009825 accumulation Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C5/00—Measuring height; Measuring distances transverse to line of sight; Levelling between separated points; Surveyors' levels
Abstract
The invention discloses a long-term post-construction settlement prediction method based on settlement monitoring results of filling engineering, which comprises the following steps: s1: selecting a typical monitoring section of the filling project, arranging a displacement monitoring sensor on the typical monitoring section, and measuring and calculating to obtain settlement values of different filling heights of the filling project; s2: selecting a filling engineering object and establishing a finite element grid; s3: obtaining initial physical mechanical parameters of a soil body through an indoor test; s4: calculating the settlement of each settlement monitoring point under the initial physical mechanical parameters; s5: and calculating a settlement and physical mechanical parameter change relation by adopting an iterative parameter inversion analysis method to obtain a preliminary numerical model of the settlement of the engineering object. The invention can effectively exert the advantages of numerical calculation and field measurement methods, obtain the initial physical mechanical parameters of the measuring points and provide guidance for long-term monitoring of the post-construction settlement of the filling engineering.
Description
Technical Field
The invention relates to the field related to settlement monitoring after filling and land building, in particular to a long-term settlement predicting method after construction based on settlement monitoring results of filling engineering.
Background
The settlement monitoring of the filling engineering can obtain the first data of the settlement of the filling area, and plays an important role in analyzing the settlement of the filling engineering after the filling engineering reaches a stable state. The settlement stability of the filling project is very critical to the safety of buildings (structures) constructed on the ground in the later period of the filling project. However, after the filling project is completed, the construction operation on the filling project construction ground causes the damage of the settlement monitoring device and the low survival rate, and it is difficult to continuously obtain large-area filling settlement monitoring data.
The conventional on-site post-construction monitoring method is to embed a large number of settlement monitoring components in a filling body and manually monitor settlement data for a long time. However, the above prior art monitoring method has two drawbacks: 1) time and labor are wasted, the cost is high, and the detection components are seriously damaged by construction at the later stage of filling engineering; 2) the sedimentation of the filling body and the original valley foundation is difficult to separate and peel, and the analysis of specific sedimentation inducement is not facilitated. Because of the above two drawbacks, it is not desirable to use solely conventional monitoring methods if accurate prediction of post-construction settlement of a filling is desired.
Disclosure of Invention
The invention aims to provide a long-term post-construction settlement prediction method based on a settlement monitoring result of a filling project, which is characterized in that an actual measurement result of the settlement of a filling body is inverted by a numerical means, the advantages of numerical calculation and a field actual measurement method are effectively exerted, a curve of the post-construction settlement and time of the filling body is obtained, and guidance is provided for long-term prediction of the post-construction settlement of the filling project.
In order to achieve the purpose, the invention adopts the following technical scheme:
the long-term post-construction settlement prediction method based on the settlement monitoring result of the filling engineering comprises the following steps:
s1: selecting a typical monitoring section of the filling project, arranging a displacement monitoring sensor on the typical monitoring section, and measuring and calculating to obtain settlement values of different filling heights of the filling project;
s2: selecting a filling engineering object and establishing a finite element grid;
s3: obtaining initial physical mechanical parameters of a soil body through an indoor test;
s4: calculating the settlement of each settlement monitoring point under the initial physical mechanical parameters;
s5: calculating a settlement and physical mechanical parameter change relation by adopting an iterative parameter inversion analysis method to obtain a preliminary numerical model of the settlement of the engineering object;
s6: checking and calibrating the preliminary numerical model by combining the existing post-construction initial-stage monitoring data to obtain a final numerical model;
s7: and predicting the long-term post-construction settlement of the filling engineering.
Preferably, in the step S1, a section with the largest variation in the coverage depth of the filling body is selected as a settlement monitoring point section by combining the finite element analysis calculation of the structure and the field survey.
Preferably, in the step S1, the filling work is maintained in a continuous construction state, continuous monitoring is maintained near the settlement monitoring points, the settlement change value at each settlement monitoring point is monitored, and the self-weight settlement change value of the filling body is calculated and obtained according to the height change value of the filling body.
Preferably, in the step S2, a region within a distance range three times the width direction of the position of the settlement monitoring section is selected as the engineering object, and the finite element mesh is established in the fill engineering, where the finite element mesh includes a plurality of mesh elements, and the distribution density of the mesh elements is gradually sparse in a direction away from the settlement monitoring section.
Preferably, in the step S4, the sedimentation of each sedimentation monitoring point is obtained through calculation by using the finite element mesh and the initial physical-mechanical parameters.
Preferably, in the step S5, an intelligent optimization algorithm is adopted to perform parameter regression on the relationship between the initial physical-mechanical parameter and the sedimentation variation value.
Preferably, the relation between the initial physical mechanical parameter and the sedimentation change value of the filling body is provided with an error allowance factor.
Preferably, in the step S6, a plurality of initial settlement states after the monitoring site is selected at random, the preliminary numerical model is used for numerical calculation, the calculation result is compared with the actual measurement result, and the preliminary numerical model is checked and calibrated to obtain the final numerical model.
Preferably, the intelligent optimization algorithm comprises: neural network algorithms and genetic algorithms.
Compared with the prior art, the invention has the beneficial effects that:
1. through the establishment of the final numerical model, the method is simple and convenient, the prediction period is short, and the influence on the later construction of the filling project can be avoided.
2. The invention uses a numerical calculation model method to simulate long-term settlement, greatly shortens the observation time and saves the cost compared with the field actual measurement;
3. the advantages of numerical calculation and field actual measurement can be effectively exerted, the post-construction settlement accuracy of the prediction measuring point is improved, and the method can be used for trend prediction and scheme comparison in the later stage of filling engineering.
In conclusion, the invention can effectively exert the advantages of numerical calculation and field measurement methods, obtain the initial physical and mechanical parameters of the measuring points and provide guidance for long-term monitoring of the settlement after filling engineering.
Drawings
FIG. 1 is a flow chart of a method for predicting a value of post-construction settlement based on a monitoring result of a fill project according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a filling engineering numerical model range establishment and a monitoring section according to an embodiment of the present invention;
fig. 3 is a schematic diagram of the burying position of the settlement monitoring point in the filling engineering according to the embodiment of the invention.
In the figure: 1. a region to be predicted; 2. contour lines; 3. a filling body; 4. monitoring the section; 5. elevation marking; 6. burying a monitoring point; 7. an undisturbed valley land; 8. filling and digging the joint surface; 9. a filling body; 10. the original state valley bottom; 11. building the ground by filling engineering; 12. and (5) monitoring points.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-3, a long term post-construction settlement prediction method based on fill engineering settlement monitoring results, the method comprising the steps of:
s1: selecting a plurality of settlement monitoring points 12 on a filling project, filling the filling with different heights, and measuring and calculating to obtain the measured settlement accumulation Si of the filling body at the settlement monitoring points 12; and i is the number of the filling soil layers.
In this embodiment, in step S1:
by combining finite element analysis calculation and field investigation, a settlement monitoring section 4 with a large variation range of the filling height relative to other positions in the filling engineering area is selected, and a plurality of positions of the section are selected as settlement monitoring points 12.
Keeping the filling body 9 in a continuous filling state, calculating according to the filling thickness to obtain the self-weight stress of the filling body, and measuring and calculating the settlement accumulated value at each settlement monitoring point 12.
S2: and selecting a filling engineering object and establishing a finite element grid.
In this embodiment, an area within a distance range three times the position width direction of the settlement monitoring section is selected as the engineering object, and the finite element mesh is established in the fill engineering, wherein the finite element mesh includes a plurality of mesh units, and the distribution density of the mesh units is gradually sparse in a direction away from the settlement monitoring section.
S3: obtaining initial physical mechanical parameters of a soil body through an indoor test; in this embodiment, the soil body includes undisturbed valley foundation 7 and filling body 9, and the physical and mechanical parameters mainly include: the volume weight gamma, the internal friction angle phi, the cohesion c, the bulk modulus K, the shear modulus G and the like of the soil.
S4: calculating the settlement of each settlement monitoring point 2 under the initial parameters;
in this embodiment, the initial settlement S0 of each monitoring point 12 is calculated and obtained by using the finite element mesh and the initial physical-mechanical parameters.
S5: calculating according to the initial physical mechanical parameters and the finite element model to obtain a theoretical sedimentation accumulated value; and performing parameter iterative inversion analysis on the relation between the initial physical mechanical parameters and the monitored settlement change value until the calculated settlement accumulation value of the numerical model is consistent with the actually measured settlement accumulation value, and obtaining an initial numerical model of the settlement of the engineering object.
And performing parameter regression on the relation between the initial physical mechanical parameters and the settlement accumulated values of the monitoring points by adopting an intelligent optimization algorithm.
The relation between the initial physical mechanical parameter and the sedimentation accumulated value is provided with an error allowance factor.
S6: the preliminary numerical model is checked and calibrated to obtain a final numerical model.
And performing numerical calculation by using the preliminary numerical model according to the initial settlement values after the plurality of monitoring points are worked, comparing the calculation result with the actual measurement result, and checking and calibrating the preliminary numerical model to obtain a final numerical model. The intelligent optimization algorithm comprises the following steps: neural network algorithms and genetic algorithms.
The long-term post-construction settlement prediction method based on the settlement monitoring result of the filling engineering can conveniently calculate the initial settlement state of the settlement monitoring point 12 according to the calibrated final numerical model, and provides reference for long-term monitoring of the post-construction settlement of the filling body 9.
Due to the adoption of the technical scheme, the invention has the following beneficial effects:
1. through the establishment of the final numerical model, the method is simple and convenient, the prediction period is short, and the influence on the later construction operation on the engineering ground can be avoided.
2. The invention uses a numerical calculation model method to simulate long-term settlement, greatly shortens the observation time and saves the cost compared with the field actual measurement;
3. the advantages of numerical calculation and field measurement can be effectively exerted, the accuracy of post-construction settlement of the measuring point is high, and the method can be used for trend prediction and scheme comparison in the early stage of engineering.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. The long-term post-construction settlement prediction method based on the settlement monitoring result of the filling engineering is characterized by comprising the following steps of:
s1: selecting a typical monitoring section of the filling project, arranging a displacement monitoring sensor on the typical monitoring section, and measuring and calculating to obtain settlement values of different filling heights of the filling project;
s2: selecting a filling engineering object and establishing a finite element grid;
s3: obtaining initial physical mechanical parameters of a soil body through an indoor test;
s4: calculating the settlement of each settlement monitoring point under the initial physical mechanical parameters;
s5: calculating a settlement and physical mechanical parameter change relation by adopting an iterative parameter inversion analysis method to obtain a preliminary numerical model of the settlement of the engineering object;
s6: checking and calibrating the preliminary numerical model by combining the existing post-construction initial-stage monitoring data to obtain a final numerical model;
s7: and predicting the long-term post-construction settlement of the filling engineering.
2. The method for predicting long-term post-construction settlement based on the settlement monitoring result of the fill engineering as claimed in claim 1, wherein in the step S1, the section with the largest change of the covering depth of the fill is selected as the settlement monitoring point section by combining the finite element analysis calculation of the structure and the field survey.
3. The method for predicting long-term post-construction settlement based on settlement monitoring results of a fill project according to claim 1, wherein in the step S1, the fill project is maintained in a continuous construction state, continuous monitoring is maintained near the settlement monitoring points, settlement change values at the settlement monitoring points are monitored, and the fill dead weight settlement change value is calculated and obtained according to the fill height change value.
4. The filling engineering settlement monitoring result-based long-term post-construction settlement prediction method as claimed in claim 1, wherein in the step S2, a region within a distance range three times as large as the width direction of the settlement monitoring section position is selected as the engineering object, and the finite element mesh is established in the filling engineering, the finite element mesh comprises a plurality of mesh elements, and the distribution density of the mesh elements is gradually sparse towards the direction away from the settlement monitoring section.
5. The method for predicting long-term post-construction settlement based on the settlement monitoring results of fill engineering according to claim 1, wherein in the step S4, the settlement of each settlement monitoring point is calculated and obtained by using the finite element mesh and the initial physical and mechanical parameters.
6. The filling engineering settlement monitoring result-based long-term post-construction settlement prediction method according to claim 1, wherein in the step S5, an intelligent optimization algorithm is adopted to perform parameter regression on the relation between the initial physical mechanical parameters and the settlement variation values.
7. The method for long-term post-construction settlement prediction based on the settlement monitoring result of the fill engineering according to claim 1, wherein the relation between the initial physical mechanical parameter and the settlement variation value of the fill is provided with an error allowance factor.
8. The filling engineering settlement monitoring result-based long-term post-construction settlement prediction method according to claim 1, wherein in the step S6, a plurality of monitoring points are randomly selected for a post-construction initial settlement state, numerical calculation is performed by using the preliminary numerical model, the calculation result is compared with an actual measurement result, and the preliminary numerical model is verified and calibrated to obtain the final numerical model.
9. The filling engineering settlement monitoring result-based long-term post-construction settlement prediction method according to claim 6, wherein the intelligent optimization algorithm comprises: neural network algorithms and genetic algorithms.
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