CN104295304A - Subway tunnel subsider production method capable of achieving different sedimentation distribution guarantee rates - Google Patents

Subway tunnel subsider production method capable of achieving different sedimentation distribution guarantee rates Download PDF

Info

Publication number
CN104295304A
CN104295304A CN201410395859.7A CN201410395859A CN104295304A CN 104295304 A CN104295304 A CN 104295304A CN 201410395859 A CN201410395859 A CN 201410395859A CN 104295304 A CN104295304 A CN 104295304A
Authority
CN
China
Prior art keywords
subsider
max
curve
tunnel
minimum
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.)
Granted
Application number
CN201410395859.7A
Other languages
Chinese (zh)
Other versions
CN104295304B (en
Inventor
张晋勋
金淮
张建全
刘永勤
张建旭
邱德隆
罗华丽
张波
梅图术
马骉
周明科
孟涛
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.)
Beijing Urban Construction Group Co Ltd
Original Assignee
Beijing Urban Construction Group Co Ltd
Beijing Urban Construction Exploration and Surveying Design Research Institute Co Ltd
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 Beijing Urban Construction Group Co Ltd, Beijing Urban Construction Exploration and Surveying Design Research Institute Co Ltd filed Critical Beijing Urban Construction Group Co Ltd
Priority to CN201410395859.7A priority Critical patent/CN104295304B/en
Priority claimed from CN201410395859.7A external-priority patent/CN104295304B/en
Publication of CN104295304A publication Critical patent/CN104295304A/en
Application granted granted Critical
Publication of CN104295304B publication Critical patent/CN104295304B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21DSHAFTS; TUNNELS; GALLERIES; LARGE UNDERGROUND CHAMBERS
    • E21D9/00Tunnels or galleries, with or without linings; Methods or apparatus for making thereof; Layout of tunnels or galleries
    • E21D9/14Layout of tunnels or galleries; Constructional features of tunnels or galleries, not otherwise provided for, e.g. portals, day-light attenuation at tunnel openings
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16ZINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00Subject matter not provided for in other main groups of this subclass

Landscapes

  • Engineering & Computer Science (AREA)
  • Mining & Mineral Resources (AREA)
  • Environmental & Geological Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Geology (AREA)
  • Excavating Of Shafts Or Tunnels (AREA)

Abstract

The invention belongs to the technical field of civil engineering, and discloses a subway subsider production method used for generating and predicting ground surface subsider curves caused by subway underground excavation or shield tunnels. The subway subsider production method mainly includes the steps of subsider curve generation, subsider envelop curve generation and sedimentation prediction parameter calculation, and specifically includes the steps of obtaining the distances between all monitoring points and the central line of a tunnel, obtaining the sedimentation values of the monitoring points, calculating a regression subsider curve, setting the envelop ratios of the monitoring points, conducting adjustment with the regression subsider curve as the foundation to obtain the maximum envelop curve and the minimum envelop curve, setting the diameter and the burial depth of the tunnel, and calculating the maximum subsider coefficient, the minimum subsider coefficient, the regression subsider coefficient, the maximum area loss rate, the minimum area loss rate and the regression area loss rate of each of the three curves. According to the method, the distribution rule and the distribution range of the ground surface sedimentation caused by underground excavation or shield tunnels are formed by taking actual monitoring data as the foundation and considering the probability distribution of settlement, the prediction parameter of the distribution range is formed, and the method is high in practicability, convenient to use and wide in application prospect.

Description

A kind of subway tunnel subsider generation method realizing different sedimentation distribution fraction
Technical field
Patent of the present invention belongs to technical field of civil engineering, generates for causing the subsider of ground settlement in constructing metro tunnel.
Background technology
Along with the development of urban rail transit construction, the ground settlement that its tunneling or shield-tunneling construction cause is always by engineering circles is paid close attention to, and engineer is based upon on the basis of practical experience mostly to the prediction of ground settlement at present, and lacks systematicness and hand down.By theoretical or numerical simulation (no matter being finite element, finite difference or discrete element), only can reflect sedimentation distribution and the regularity of distribution, be difficult to prediction to quantitative, parameter adjustment dispersion is comparatively large, finally still ascribes micro-judgment to.Due to the complexity (impact of soil body skewness, urban road surfaces structure, the uncertainty of underground water, ambient conditions is complicated, construction method is different, construction team is uneven) of geotechnical engineering, larger by theory analysis, accurately predicting ground settlement value difficulty.Therefore, by the regression analysis to a large amount of measured data, matching predictor formula and curve distribution, just become the practical approach of prediction Metro or Surface Settlement Resulted by Shield Tunneling.But the concrete implementation step of the method is comparatively loaded down with trivial details at present, and practicality is not high, cannot promote to engineers and technicians, and the curve obtained is only one, truly cannot reflect on-site actual situations.
Summary of the invention
The object of patent of the present invention is to provide a kind of easy to use, is easy to operate and passes through revise and consider that the subway tunnel subsider curve generation method of sedimentation distribution fraction solves above-mentioned shortcoming.Concrete technical scheme is as follows:
One, subsider curve generates
(1) set monitoring point, and obtain the distance x of each monitoring point far from tunnel center line, and the sedimentation value y of monitoring point.
(2) carry out regression analysis to measured data (x, y), regression formula is obtain constant term and obtain curve equation y = S max exp ( - x 2 2 i 2 ) , Wherein maximum settlement value S max = exp ( a ‾ ) , Subsider width i = 1 / ( b ‾ ) 0.5 ;
Subsider curve to realize principle as follows: Peck thinks under und rained condition, the volume of the ground settlement groove that tunnel excavation is formed should equal the volume of Stratum Loss, and suppose that stratum is lost on whole length of tunnel and be uniformly distributed, the ground settlement cross direction profiles that constructing tunnel produces is approximately normal distribution, and use for reference the evaluation method being caused surface settlement displacement in mining by exploitation of mineral resources, propose following predictor formula:
y = S max exp ( - x 2 2 i 2 )
In formula: both sides, y-tunnel are transversely apart from the surface settlement of center, tunnel x distance; Both sides, x-tunnel are transversely apart from the distance at center, tunnel; S max-earth's surface maximum settlement; I-curve inflection point is apart from tunnel centre distance.Curve synoptic diagram is shown in Fig. 1.
In order to effectively measured data can be utilized, and ensure the validity of Fitting Analysis, based on Peck formula, linear regression is carried out to it, because Peck formula is nonlinear function, first to its linear transfor.Taken the logarithm in formula (1) both sides, obtain formula (2):
y = S max exp ( - x 2 2 i 2 ) - - - ( 1 ) ln y = ln S max - x 2 2 i 2 - - - ( 2 )
Now, with ln y and for regression variable is analyzed, wherein ln S maxfor regression constant item, with for the linear coefficient returned.
Formula after recurrence is
By returning the parameter obtained reverse S maxand i, namely
S max = exp ( a ‾ ) , i = 1 / ( b ‾ ) 0.5
Thus (1) formula that turns back to can obtain the Peck curve after returning.
Two, the generation of subsider envelope curve
Because subsider regression curve is only a curve, only can react the regularity of distribution that tunneling or shield tunnel construction cause ground settlement in actual applications, the actual conditions of ground settlement cannot be reacted from amount.And in practice of construction process, technician is more it is of concern that bored tunnel excavation causes the numerical value of ground settlement.Due to the complexity of soil layer condition, accurately provide settlement prediction amount more difficult, but can by based on actual monitoring result, at the enterprising Row sum-equal matrix in basis of the sedimentation regularity of distribution (subsider regression curve), by envelope ratio, namely consider the probability distribution of sedimentation, the scope that ground settlement occurs can be doped.
(3) initial maximum envelope curve is calculated with initial minimum envelop curve y 2 = α min S max exp ( - x 2 2 i 2 ) , Wherein α max = y max S max , α min = y min S max , Y maxand y minbe respectively above tunnel center line, i.e. the maximum measured value of the monitoring point sedimentation value at x=0 place and minimum measured value.
(4) largest enveloping curve is calculated with minimum envelop curve wherein β min, β maxcomputational methods as follows: β min, β maxinitial value be 1, monitoring point is traveled through, each monitoring point is brought into initial maximum envelope curve and initial minimum envelop curve respectively far from the distance measure of tunnel center line, obtain two sedimentation value y ', y respectively "; if the sedimentation value that monitoring point records is at y ', y " between, then this monitoring point is recorded as envelope point, and β maxbe worth constant; Otherwise, if the sedimentation value that monitoring point records is not at y ', y " between, then by largest enveloping line subsider width beta maxincrease by 0.01, simultaneously minimum envelop line subsider width beta minreduce 0.01; After monitoring point traversal terminates, calculate the ratio that all envelopes point accounts for monitoring point quantity, if be greater than or equal to given envelope ratio, then stop iteration, obtain current iteration β min, β maxoutput valve; Otherwise iteration again.β when next iteration starts min, β maxbe last iteration β min, β maxoutput valve.Final forming curves figure as shown in Figure 2.
The calculating of three, settlement prediction parameter
(5) the edpth of tunnel H of bored tunnel is set, the envelope ratio of tunnel diameter D and Tested settlement data;
(6) calculated curve recurrence subsider coefficient k and return area loss late V, design formulas is: and i=kH, wherein D is the tunnel diameter that step (5) sets, and H is the edpth of tunnel that step (5) sets; Calculate largest enveloping curve maximum settlement groove coefficient k 1with maximum area loss late V 1, design formulas is: β maxi=k 1h; Calculate minimum envelop curve minimum subsider coefficient k 2, minimum area loss late V 2, design formulas is: β mini=k 2h;
(7) by returning subsider coefficient k, returning area loss late V, maximum settlement groove coefficient k 1, minimum subsider coefficient k 2, maximum area loss late V 1, minimum area loss late V 2preliminary Forecast and evaluation can be made to the ground settlement that metro built by mining method produces.
Beneficial effect:
Patent of the present invention forms the regularity of distribution and the distribution that bored tunnel causes ground settlement based on the monitored data of reality, forms the Prediction Parameters of distribution, has practical, feature easy to use, is expected to obtain application.
Accompanying drawing illustrates:
Fig. 1 Peck curve synoptic diagram
Largest enveloping line and minimum envelop line chart after Fig. 2 regression curve, correction
Fig. 3 flow chart of the present invention
Fig. 4 monitoring point numerical value extracts figure
Specific embodiment
Concrete grammar comprises the following steps, and flow chart is shown in Fig. 3:
(1) extract monitoring point, and obtain the distance x of each monitoring point far from tunnel center line, and the sedimentation value y of monitoring point, as shown in Figure 4;
(2) the edpth of tunnel H of bored tunnel is set, the envelope ratio of tunnel diameter D and Tested settlement data;
(3) carry out regression analysis to measured data (x, y), regression formula is obtain constant term and obtain curve equation y = S max exp ( - x 2 2 i 2 ) , Wherein maximum settlement value S max = exp ( a ‾ ) , Subsider width i = 1 / ( b ‾ ) 0.5 ;
(4) initial maximum envelope curve is calculated with initial minimum envelop curve y 2 = α min S max exp ( - x 2 2 i 2 ) , Wherein α max = y max S max , α min = y min S max , Y maxand y minbe respectively above tunnel center line, i.e. the maximum measured value of the monitoring point sedimentation value at x=0 place and minimum measured value;
(5) largest enveloping curve is calculated with minimum envelop curve wherein β min, β maxcomputational methods as follows: β min, β maxinitial value be 1, monitoring point is traveled through, each monitoring point is brought into initial maximum envelope curve and initial minimum envelop curve respectively far from the distance measure of tunnel center line, obtain two sedimentation value y ', y respectively "; if the sedimentation value that monitoring point records is at y ', y " between, then this monitoring point is recorded as envelope point, and β maxbe worth constant; Otherwise, if the sedimentation value that monitoring point records is not at y ', y " between, then largest enveloping line subsider width is increased by 0.01, minimum envelop line subsider width reduces 0.01 simultaneously; After monitoring point traversal terminates, calculate the ratio that all envelopes point accounts for monitoring point quantity, if be greater than or equal to given envelope ratio, then stop iteration, obtain β min, β max, otherwise iteration again;
(6) calculated curve recurrence subsider coefficient k and return area loss late V, design formulas is: and i=kH, wherein D is the tunnel diameter that step (2) sets, and H is the edpth of tunnel that step (2) sets; Calculate largest enveloping curve maximum settlement groove coefficient k 1with maximum area loss late V 1, design formulas is: β maxi=k 1h; Calculate minimum envelop curve minimum subsider coefficient k 2, minimum area loss late V 2, design formulas is: β mini=k 2h;
(7) by returning subsider coefficient k, returning area loss late V, maximum settlement groove coefficient k 1, minimum subsider coefficient k 2, maximum area loss late V 1, minimum area loss late V 2preliminary Forecast and evaluation can be made to the ground settlement that metro built by mining method produces.

Claims (1)

1. one kind realizes the subway tunnel subsider generation method of different sedimentation distribution fraction, it is characterized in that comprising the following steps:
(1) set monitoring point, and obtain the distance x of each monitoring point far from tunnel center line, and the sedimentation value y of monitoring point;
(2) the edpth of tunnel H of bored tunnel is set, the envelope ratio of tunnel diameter D and Tested settlement data;
(3) carry out regression analysis to measured data (x, y), regression formula is obtain constant term and obtain curve equation y = S max exp ( - x 2 2 i 2 ) , Wherein maximum settlement value S max = exp ( a ‾ ) , Subsider width i = 1 / ( b ‾ ) 0.5 ;
(4) initial maximum envelope curve is calculated with initial minimum envelop curve y 2 = α min S max exp ( - x 2 2 i 2 ) , Wherein α max = y max S max , α min = y min S max , Y maxand y minbe respectively above tunnel center line, i.e. the maximum measured value of the monitoring point sedimentation value at x=0 place and minimum measured value;
(5) largest enveloping curve is calculated with minimum envelop curve wherein minimum envelop line subsider width beta min, largest enveloping line subsider width beta maxcomputational methods as follows: β min, β maxinitial value be 1, monitoring point is traveled through, each monitoring point is brought into initial maximum envelope curve and initial minimum envelop curve respectively far from the distance measure of tunnel center line, obtain two sedimentation values y', y respectively "; if the sedimentation value that monitoring point records is at y ', y " between, then this monitoring point is recorded as envelope point, and β min, β maxbe worth constant; Otherwise, if the sedimentation value that monitoring point records is not at y', y " between, then upgrade β min, β max, by largest enveloping line subsider width beta maxincrease by 0.01, simultaneously minimum envelop line subsider width beta minreduce 0.01; After monitoring point traversal terminates, calculate the ratio that all envelopes point accounts for monitoring point quantity, if be greater than or equal to given envelope ratio, then stop iteration, obtain β min, β max, otherwise iteration again;
(6) calculated curve recurrence subsider coefficient k and return area loss late V, design formulas is: and i=kH, wherein D is the tunnel diameter that step (2) sets, and H is the edpth of tunnel that step (2) sets; Calculate largest enveloping curve maximum settlement groove coefficient k 1with maximum area loss late V 1, design formulas is: β maxi=k 1h; Calculate minimum envelop curve minimum subsider coefficient k 2, minimum area loss late V 2, design formulas is: β mini=k 2h;
(7) by returning subsider coefficient k, returning area loss late V, maximum settlement groove coefficient k 1, minimum subsider coefficient k 2, maximum area loss late V 1, minimum area loss late V 2preliminary Forecast and evaluation can be made to the ground settlement that metro built by mining method produces.
CN201410395859.7A 2014-08-13 Subway tunnel settling tank generation method for realizing different settlement distribution guarantee rates Active CN104295304B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410395859.7A CN104295304B (en) 2014-08-13 Subway tunnel settling tank generation method for realizing different settlement distribution guarantee rates

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410395859.7A CN104295304B (en) 2014-08-13 Subway tunnel settling tank generation method for realizing different settlement distribution guarantee rates

Publications (2)

Publication Number Publication Date
CN104295304A true CN104295304A (en) 2015-01-21
CN104295304B CN104295304B (en) 2017-01-04

Family

ID=

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104965994A (en) * 2015-07-17 2015-10-07 青岛理工大学 Determining and estimating method for surface subsidence characteristic parameters caused by subway tunnel construction
CN105956271A (en) * 2016-05-03 2016-09-21 大连交通大学 Computation method for strata displacement caused by shield construction of tunnel
CN105971611A (en) * 2016-05-25 2016-09-28 中车建设工程有限公司 Roadbed settlement control method for subway tunnel passing under existing trunk railway closely
CN106968689A (en) * 2017-03-21 2017-07-21 北京市政建设集团有限责任公司 A kind of subregion for being adapted to the construction of tunnel proximate building strong grouting strengthening method such as not
CN107025333A (en) * 2017-03-08 2017-08-08 广西建工集团第五建筑工程有限责任公司 Deformation estimation method for deep foundation pit support structure in soft soil stratum
CN107489424A (en) * 2017-07-28 2017-12-19 西安理工大学 A kind of shield subway work induces stratum deformation and the predictor method influenceed on ancient building
CN108536957A (en) * 2018-04-08 2018-09-14 中交公局桥隧工程有限公司 A kind of building deformation data processing method in shield tunneling influence area
CN109322705A (en) * 2018-11-28 2019-02-12 中国矿业大学(北京) Shield tunnel ground settlement automatic monitoring and alarming system and method for early warning
CN109596378A (en) * 2018-12-10 2019-04-09 四川农业大学 One kind being used for plain in west of Sichuan Agro-ecological System atmospheric sedimentation monitoring point method for arranging
CN113806843A (en) * 2021-09-01 2021-12-17 北京住总集团有限责任公司 Deformation analysis system and method based on dynamic fluctuation of bottom of sedimentation tank
CN113806843B (en) * 2021-09-01 2024-05-31 北京住总集团有限责任公司 Deformation analysis system and method based on dynamic fluctuation of sedimentation tank bottom

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060184340A1 (en) * 2005-02-14 2006-08-17 Fujitsu Limited Deterministic sampling simulation device for generating a plurality of distribution simultaneously
KR20060135258A (en) * 2005-06-24 2006-12-29 삼성탈레스 주식회사 Method for evaluating threat of surface tracks
CN1952921A (en) * 2006-05-22 2007-04-25 黄广军 A computational method of anticipated settlement in ground base
US20110166761A1 (en) * 2010-01-07 2011-07-07 Continental Automotive Gmbh Method and device for determining a maximum coefficient of friction between a tire and an underlying surface
CN102855392A (en) * 2012-08-10 2013-01-02 河海大学 Ground settlement space monitoring method through Kriging interpolation based on genetic algorithm
CN102880786A (en) * 2012-08-10 2013-01-16 河海大学 Kriging ground settlement time domain monitoring method based on simulated annealing method
KR20130023142A (en) * 2011-08-25 2013-03-07 경북대학교 산학협력단 Method and apparatus for calculating velocity pressure exposure coefficient
CN103440412A (en) * 2013-08-20 2013-12-11 国家电网公司 Method for predicting ground settlement curve of electric power tunnel top pipe downward penetrating construction
CN103942430A (en) * 2014-04-21 2014-07-23 南京市测绘勘察研究院有限公司 Building settlement prediction method based on combined model

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060184340A1 (en) * 2005-02-14 2006-08-17 Fujitsu Limited Deterministic sampling simulation device for generating a plurality of distribution simultaneously
KR20060135258A (en) * 2005-06-24 2006-12-29 삼성탈레스 주식회사 Method for evaluating threat of surface tracks
CN1952921A (en) * 2006-05-22 2007-04-25 黄广军 A computational method of anticipated settlement in ground base
US20110166761A1 (en) * 2010-01-07 2011-07-07 Continental Automotive Gmbh Method and device for determining a maximum coefficient of friction between a tire and an underlying surface
KR20130023142A (en) * 2011-08-25 2013-03-07 경북대학교 산학협력단 Method and apparatus for calculating velocity pressure exposure coefficient
CN102855392A (en) * 2012-08-10 2013-01-02 河海大学 Ground settlement space monitoring method through Kriging interpolation based on genetic algorithm
CN102880786A (en) * 2012-08-10 2013-01-16 河海大学 Kriging ground settlement time domain monitoring method based on simulated annealing method
CN103440412A (en) * 2013-08-20 2013-12-11 国家电网公司 Method for predicting ground settlement curve of electric power tunnel top pipe downward penetrating construction
CN103942430A (en) * 2014-04-21 2014-07-23 南京市测绘勘察研究院有限公司 Building settlement prediction method based on combined model

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
张波等: "地铁暗挖施工引起的地表沉降时空分布模型研究", 《隧道建筑》, no. 4, 20 April 2014 (2014-04-20) *
杨清源等: "大连地铁隧道施工的Peck公式改进", 《辽宁工程技术大学学报(自然科学版)》, vol. 31, no. 2, 15 April 2012 (2012-04-15) *
韩煊等: "Peck公式在我国隧道施工地面变形预测中的适用性分析", 《岩土力学》, vol. 28, no. 1, 20 January 2007 (2007-01-20) *

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104965994A (en) * 2015-07-17 2015-10-07 青岛理工大学 Determining and estimating method for surface subsidence characteristic parameters caused by subway tunnel construction
CN105956271A (en) * 2016-05-03 2016-09-21 大连交通大学 Computation method for strata displacement caused by shield construction of tunnel
CN105956271B (en) * 2016-05-03 2018-12-25 大连交通大学 A kind of tunneling shield construction causes the calculation method of formation displacement
CN105971611A (en) * 2016-05-25 2016-09-28 中车建设工程有限公司 Roadbed settlement control method for subway tunnel passing under existing trunk railway closely
CN107025333B (en) * 2017-03-08 2020-03-27 广西建工集团第五建筑工程有限责任公司 Deformation estimation method for deep foundation pit support structure in soft soil stratum
CN107025333A (en) * 2017-03-08 2017-08-08 广西建工集团第五建筑工程有限责任公司 Deformation estimation method for deep foundation pit support structure in soft soil stratum
CN106968689A (en) * 2017-03-21 2017-07-21 北京市政建设集团有限责任公司 A kind of subregion for being adapted to the construction of tunnel proximate building strong grouting strengthening method such as not
CN107489424A (en) * 2017-07-28 2017-12-19 西安理工大学 A kind of shield subway work induces stratum deformation and the predictor method influenceed on ancient building
CN108536957A (en) * 2018-04-08 2018-09-14 中交公局桥隧工程有限公司 A kind of building deformation data processing method in shield tunneling influence area
CN108536957B (en) * 2018-04-08 2022-04-08 中交一公局桥隧工程有限公司 Method for processing building deformation data in shield excavation influence area
CN109322705A (en) * 2018-11-28 2019-02-12 中国矿业大学(北京) Shield tunnel ground settlement automatic monitoring and alarming system and method for early warning
CN109322705B (en) * 2018-11-28 2024-01-26 中国矿业大学(北京) Automatic monitoring and early warning system and early warning method for earth surface subsidence of shield tunnel
CN109596378A (en) * 2018-12-10 2019-04-09 四川农业大学 One kind being used for plain in west of Sichuan Agro-ecological System atmospheric sedimentation monitoring point method for arranging
CN113806843A (en) * 2021-09-01 2021-12-17 北京住总集团有限责任公司 Deformation analysis system and method based on dynamic fluctuation of bottom of sedimentation tank
CN113806843B (en) * 2021-09-01 2024-05-31 北京住总集团有限责任公司 Deformation analysis system and method based on dynamic fluctuation of sedimentation tank bottom

Similar Documents

Publication Publication Date Title
Shi et al. Functional efficiency assessment of the water curtain system in an underground water-sealed oil storage cavern based on time-series monitoring data
Wang et al. Entropy weight-set pair analysis based on tracer techniques for dam leakage investigation
CN103984807A (en) Numerical simulation method of dam grouting capable of coupling fine geological information and monitoring information
CN105180888B (en) High-ground stress Support System in Soft Rock Tunnels excavates deformation allowance and determines method
Li et al. Seepage analysis in a fractured rock mass: The upper reservoir of Pushihe pumped-storage power station in China
CN110702881B (en) Prediction method of rock-soil material parameter variability result and application thereof
Liu et al. A study on the uplift mechanism of Tongjiezi dam using a coupled hydro-mechanical model
Li et al. A new distributed karst-tunnel hydrological model and tunnel hydrological effect simulations
CN104233996A (en) Porosity-reliability dual evaluation method for construction roller-compacted quality of concrete-faced rockfill dam
Hou et al. Forecasting and prevention of water inrush during the excavation process of a diversion tunnel at the Jinping II Hydropower Station, China
CN111119902A (en) Tunnel dynamic construction method based on BP neural network
Golian et al. Restoring groundwater levels after tunneling: a numerical simulation approach to tunnel sealing decision-making.
Luo et al. Identifying and predicting karst water inrush in a deep tunnel, South China
CN102680029B (en) Calculation method for displacement and displacement time in dynamic precipitation process of pressure-bearing partially penetrating well or well group
Zhou et al. Analysis of deformation and leakage performance of Xiluodu reservoir dam foundation using a coupled two-factor stress-deformation-seepage model
CN102680027B (en) Method for calculating displacement and discharging time in dynamical precipitation process of pressure-load fully penetrating well or well group
Yang et al. Deformation patterns and failure mechanism of high and steep stratified rock slopes with upper steep and lower gentle style induced by step-by-step excavations
CN104295304B (en) Subway tunnel settling tank generation method for realizing different settlement distribution guarantee rates
CN104295304A (en) Subway tunnel subsider production method capable of achieving different sedimentation distribution guarantee rates
Zhu et al. Slope stability from a hydrological perspective: taking typical soil slope as an example
Hong et al. A Combined Method for Rainfall-induced Landslides and Debris Flows in Regional-scale Areas
Hongtao et al. Study on failure characteristics of surrounding rock of benching excavation in loess overburden soil-rock contact zone
CN104564037A (en) Logging calculation method for content of brittle mineral in shale gas reservoir
CN102680028B (en) Method for calculating water discharge amount and water discharge time during dynamic water fall process in submersible partially penetrating well or well group
Luo et al. Stability Analysis of the Shiliushubao Landslide Based on Deformation Characteristics and External Trigger Factors in the Three Gorges Reservoir

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20180306

Address after: 100088 Haidian District, North Beijing, Tai Ping Road, No. 18

Patentee after: Beijing City Building Group Co., Ltd.

Address before: 100120 Haidian District, North Beijing, Tai Ping Road, No. 18

Co-patentee before: Beijing Urban Construction Exploration & Surveying Design Research Institute Co.,Ltd.

Patentee before: Beijing City Building Group Co., Ltd.