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 PDF

Info

Publication number
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
Authority
CN
China
Prior art keywords
settlement
filling
monitoring
construction
engineering
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010085356.5A
Other languages
Chinese (zh)
Inventor
张继文
周远强
郑建国
曹杰
王华山
陈冉升
刘争宏
于永堂
乔建伟
张龙
王云南
王俊茂
黄晓维
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Jikan Research Institute Of Engineering Investigations And Design Co ltd
China Machinery Engineering Corp
Original Assignee
China Jikan Research Institute Of Engineering Investigations And Design Co ltd
China Machinery Engineering Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Jikan Research Institute Of Engineering Investigations And Design Co ltd, China Machinery Engineering Corp filed Critical China Jikan Research Institute Of Engineering Investigations And Design Co ltd
Priority to CN202010085356.5A priority Critical patent/CN111259594A/en
Publication of CN111259594A publication Critical patent/CN111259594A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C5/00Measuring 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

Long-term post-construction settlement prediction method based on settlement monitoring result of filling engineering
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.
CN202010085356.5A 2020-02-10 2020-02-10 Long-term post-construction settlement prediction method based on settlement monitoring result of filling engineering Pending CN111259594A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010085356.5A CN111259594A (en) 2020-02-10 2020-02-10 Long-term post-construction settlement prediction method based on settlement monitoring result of filling engineering

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010085356.5A CN111259594A (en) 2020-02-10 2020-02-10 Long-term post-construction settlement prediction method based on settlement monitoring result of filling engineering

Publications (1)

Publication Number Publication Date
CN111259594A true CN111259594A (en) 2020-06-09

Family

ID=70945415

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010085356.5A Pending CN111259594A (en) 2020-02-10 2020-02-10 Long-term post-construction settlement prediction method based on settlement monitoring result of filling engineering

Country Status (1)

Country Link
CN (1) CN111259594A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111705856A (en) * 2020-08-20 2020-09-25 北京大成国测科技有限公司 Numerical analysis-based foundation pit settlement monitoring system and prediction method
CN116465455A (en) * 2023-04-12 2023-07-21 山西建筑工程集团有限公司 Integrated digital monitoring method and system for physical indexes of soil body

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106884442A (en) * 2017-04-25 2017-06-23 西安理工大学 A kind of implementation of cheuch shape high fill foundation multi- scenarios method monitoring system
CN108827233A (en) * 2018-09-17 2018-11-16 中国地质大学(北京) A kind of prediction technique of two layers of goaf surface subsidence
CN108985340A (en) * 2018-06-22 2018-12-11 西安电子科技大学 Shield construction ground predicting subsidence method based on dual model fusion
CN110245370A (en) * 2018-12-17 2019-09-17 长江勘测规划设计研究有限责任公司 A kind of high CFRD multiple target mechanics parameter inversion method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106884442A (en) * 2017-04-25 2017-06-23 西安理工大学 A kind of implementation of cheuch shape high fill foundation multi- scenarios method monitoring system
CN108985340A (en) * 2018-06-22 2018-12-11 西安电子科技大学 Shield construction ground predicting subsidence method based on dual model fusion
CN108827233A (en) * 2018-09-17 2018-11-16 中国地质大学(北京) A kind of prediction technique of two layers of goaf surface subsidence
CN110245370A (en) * 2018-12-17 2019-09-17 长江勘测规划设计研究有限责任公司 A kind of high CFRD multiple target mechanics parameter inversion method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
匡希龙: "高填路堤预应变加筋及动力强夯技术研究", 博士学位论文 *
吕庆 等: "高填方路堤粘弹性参数反演与工后沉降预测分析", 岩石力学与工程学报 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111705856A (en) * 2020-08-20 2020-09-25 北京大成国测科技有限公司 Numerical analysis-based foundation pit settlement monitoring system and prediction method
CN111705856B (en) * 2020-08-20 2021-01-29 北京大成国测科技有限公司 Numerical analysis-based foundation pit settlement monitoring system and prediction method
CN116465455A (en) * 2023-04-12 2023-07-21 山西建筑工程集团有限公司 Integrated digital monitoring method and system for physical indexes of soil body
CN116465455B (en) * 2023-04-12 2023-10-20 山西建筑工程集团有限公司 Integrated digital monitoring method and system for physical indexes of soil body

Similar Documents

Publication Publication Date Title
CN107893437B (en) Large open caisson foundation construction real-time monitoring system based on remote wireless transmission technology
AU2020433233A1 (en) System and method for monitoring and verifying global failure mode of soil and rock dual-element side slope
CN109388865B (en) Tower emergency failure early warning method under ground settlement working condition
CN104328776B (en) A kind of method predicting that the soil body and surrounding enviroment are affected by power dynamic compaction tool
CN110006674B (en) Monitoring method for critical instability real-time early warning of high formwork system
CN109406178B (en) Equivalent time history acquisition and fatigue test spectrum arrangement of excavator working device
CN111259594A (en) Long-term post-construction settlement prediction method based on settlement monitoring result of filling engineering
JP2003278171A (en) Liquefaction phenomenon prediction system
WO2015154638A1 (en) Material field weight detection method and system
CN112064686A (en) Method for monitoring opening amount of immersed tube tunnel joint
CN108303512B (en) Method for in-situ testing soil-water characteristic curve
GB2607465A (en) Analysis system and method for designing and correcting water curtain system of underground water-sealed oil storage
CN111705808A (en) Soil body parameter dynamic inversion analysis method suitable for suspended deep foundation pit engineering
CN107179563A (en) Brick clay ancient building pedestal disease monitoring system and implementation
Li et al. Effect of the inclined weak interlayers on the rainfall response of a bedded rock slope
AU2021101678A4 (en) Method for testing soft rock ground stress in exploration engineering
CN113591347A (en) Dynamic monitoring method and early warning system in high slope construction process
CN108692969A (en) A kind of Sandy Soil Moisture monitoring method and system
CN110197015B (en) Dam foundation pre-stressed anchor cable effective tensile stress measuring method
CN110849729B (en) Active and passive soil pressure model test device for limited cohesive soil behind foundation pit flexible retaining wall
CN111507015A (en) In-service slope technical condition evaluation method
WO2019148752A1 (en) Foundation settlement testing system and method adopting resistance-sensitive geogrids
CN110309490A (en) A kind of experience curve fitting system for pit retaining monitoring early warning
CN112946778B (en) Method for early warning karst collapse based on underground water turbidity monitoring
Ai et al. The use of shape accel array for deformation monitoring and parameter inversion of a 300 m ultrahigh rockfill dam

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20200609