CN107944204A - Mountain tunnel Construction Risk Assessment method based on CAE finite element models - Google Patents

Mountain tunnel Construction Risk Assessment method based on CAE finite element models Download PDF

Info

Publication number
CN107944204A
CN107944204A CN201810040972.1A CN201810040972A CN107944204A CN 107944204 A CN107944204 A CN 107944204A CN 201810040972 A CN201810040972 A CN 201810040972A CN 107944204 A CN107944204 A CN 107944204A
Authority
CN
China
Prior art keywords
tunnel
data
stress
finite element
displacement
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
CN201810040972.1A
Other languages
Chinese (zh)
Inventor
吴波
兰扬斌
何山
石雷
李春芳
周鹏
邓昭骊
李政逊
吴冬
蒙国往
李静
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.)
Guangxi University
CCCC First Highway Engineering Co Ltd
Original Assignee
Guangxi University
CCCC First Highway Engineering 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 Guangxi University, CCCC First Highway Engineering Co Ltd filed Critical Guangxi University
Priority to CN201810040972.1A priority Critical patent/CN107944204A/en
Publication of CN107944204A publication Critical patent/CN107944204A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/23Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Lining And Supports For Tunnels (AREA)

Abstract

The present invention provides a kind of mountain tunnel Construction Risk Assessment method based on CAE finite element models, mountain tunnel threedimensional model is established by ABAQUS CAE softwares, by mountain tunnel initial parameter tunnel cross-section form and size x, the grade y of country rock, the type z of lining cutting is input in finite element model, then FEM calculation is carried out by grid division and obtains tunnel vault, side wall, the displacement at the positions such as inverted arch, stress, draw stress time curve automatically by automatic software, displacement time curve, the curve can intuitively reflect the stress of Tunnel chamber interior walls everywhere, the situation of change of displacement, corresponding live risk source can accurately be just found if there is abnormal data, make Risk-warning, take positive remedial measure.

Description

Mountain tunnel Construction Risk Assessment method based on CAE finite element models
Technical field
The present invention relates to Tunnel Engineering methods of risk assessment, and in particular to a kind of mountain ridge tunnel based on CAE finite element models Road Construction Risk Assessment method.
Technical background
With the continuous social and economic development, the requirement to communications and transportation is also increasing, and building for mountain tunnel is also got over Come more, how to control the construction risk of mountain tunnel is present urgent problem.Mountain tunnel in the construction process, meeting Different grades of country rock, prominent mud gushing water, or even the various risks such as rock burst are run into, therefore, accurately assess the risk of mountain tunnel The overall process for needing to construct to it carries out comprehensive analysis.Found by being retrieved to prior art literature, Chinese Patent Application No. 2015100547770, denomination of invention:Karst Tunnel gushing water is dashed forward the gradual risk dynamic assessment method of mud overall process, discloses one Kind of Karst Tunnel gushing water is dashed forward the gradual risk dynamic assessment method of mud overall process, is comprised the following steps:(1) in tunnel surveying rank Section, obtains the hydrogeological information of tunnel location and its neighbouring country rock, i.e. the environment that breeds of prominent water burst, each section of tunnel of understanding occur for tunnel The risk status of residing geological conditions;(2) risk stratification value is calculated with factor weight vector according to expert analysis mode vector and carried out Consistency check;(3) risk factors are introduced into the influence factor of risk assessment, consider pregnant dangerous environment and risk factors, Carry out prominent water burst risk assessment, division tunnel is dashed forward the section distribution characteristics of water burst risk;(4) value of each index is combined into scene Practice of construction situation is corrected in real time, to realize the dynamic evaluation of water bursting factor risk.As it can be seen that mountain tunnel risk is commented at present Estimate method and risk profile is locally mainly carried out to some, and be that this method is realized by expert analysis mode, therefore be difficult pair Overall constructing tunnel forms an accurate effective risk assessment.
Existing Karst Tunnel gushing water dash forward the gradual risk dynamic assessment method of mud overall process can only dash forward for gushing water mud this The special content of kind forms risk assessment, and the risk complexity being likely to occur in mountain tunnel is various, and this method is not to entirety Constructing tunnel form an effective risk assessment, can not meet the overall requirement of mountain tunnel risk assessment.
The content of the invention
The purpose of the present invention is that the deficiency for making up existing mountain tunnel Construction Risk Assessment, there is provided one kind is based on CAE The mountain tunnel Construction Risk Assessment method of finite element model, can intuitively reflect Tunnel chamber interior walls stress everywhere, position The situation of change of shifting, for the abnormal data of appearance, can accurately find the risk source at corresponding scene, make Risk-warning, Take positive remedial measure.
The present invention adopts the technical scheme that:
Mountain tunnel Construction Risk Assessment method based on CAE finite element models, comprises the following steps:
Step 1:By CAE finite element softwares, mountain tunnel finite element model is established, it is soft especially by ABAQUS-CAE Part establishes mountain tunnel threedimensional model, wherein, the initial parameter that model includes is:It can carry out the tunnel cross-section of direct editing Form and size, country rock grade and lining style by varying material property into edlin;
Step 2:Tunnel stress deformation characteristic is calculated using mesh generation FInite Element, obtains tunnel vault, side Wall, the displacement at inverted arch position, stress;
Step 3:By finite element model calculate monitoring point arrangement at stress and displacement data, and by these data with Field monitoring data compare and analyze, and obtain the relation between the data and monitoring data of model calculating, and then extrapolate tunnel Road cavern inner wall is not provided with the ess-strain situation at monitoring location;
Step 4:By stress, the strain data of software simulation gained, new database f is converted to by mathematical relationship (x1), with reference to the Physical geographic outline data f (x2), geological condition data f (x3), ambient condition data f (x4) of mountain tunnel, Formed a total Database, then with risk class function F (x)=span { f (x1), f (x2), f (x3), f (x4) } based on, adopt The being associated property of data of total Database is analyzed with FineBI softwares, obtains stress time curve and displacement-time curve, Risk class according to finally obtaining makes monitoring and warning.
Repeat step two arrives step 4, completes the risk analysis of tunnel of mountain tunnel construction overall process, reaches control tunnel The purpose of risk.
Beneficial effects of the present invention:
The present invention can reflect the three-dimensional feature of mountain tunnel, and carry out with actual monitoring data by finite element modeling After comparative analysis, all information of constructing tunnel can be shown with complete documentation and image, and daily dynamic wind can be automatically generated Danger assessment table, operates easy to construction personnel or technical staff, eliminates the record work of Tunnel Engineering complicated construction information;
Commented using the risk of mesh generation finite element analysis technology, dynamic risk assessment and more monitoring item relevance evaluations Estimate method, be disposed with stress time curve at monitoring point, displacement-time curve in conjunction with CAE software generation, pass through curve energy It is enough intuitively to reflect Tunnel chamber interior walls stress everywhere, the situation of change of displacement, overcome traditional methods of risk assessment and obscure The shortcomings that judge, all being associated property of big data are analyzed, judge a series of existing risks during engineering progress comprehensively Source, and propose specific aim strategy, intelligence degree is very high;
This method can also be according to actual conditions, real time modifying computational methods, so that constantly improve risk assessment is accurate Property, also more comprehensive and promptness.
Brief description of the drawings
Fig. 1 arranges sectional drawing for tunnel monitoring point;
Fig. 2 arranges top view for tunnel monitoring point;
Fig. 3 is three-dimensional model diagram;
Fig. 4 is stress time curve figure;
Fig. 5 is displacement-time curve figure;
In Fig. 1 and Fig. 2, A (a):Measure vertical displacement and the stress at inverted arch arch bottom, B (b):Measure the level of inverted arch arch springing Displacement and stress, C (c):Measure horizontal displacement and the stress of side wall, D (d):Measure vertical displacement and the stress on inverted arch arch side, E (e):Measure vertical displacement and the stress of inverted arch vault;
In Fig. 4, path choosing is that from tunnel bottom surface midpoint to top surface midpoint, wherein S11 represents the direct stress of X-direction, S22 Represent the direct stress of Y-direction, S33 represents the direct stress of Z-direction, and S12 represents the shearing stress of X/Y plane (Tunnel inner wall);
In Fig. 5, U1 represents X (horizontal) direction displacements, and U2 represents Y (vertical) direction displacement.
Embodiment
With reference to embodiment, the invention will be further described.
Embodiment
A kind of mountain tunnel Construction Risk Assessment method based on finite element model, mainly includes the following steps that:
Step 1:By CAE finite element software, the finite element model of mountain tunnel is established, can reflect its three-dimensional feature, And three-dimensional model diagram (as shown in Figure 3) is drawn out, wherein, the initial parameter that model includes is:Tunnel cross-section form and size X, country rock grade y, lining style z;It can carry out direct editing to x, and y and z are needed by varying material property into edlin; After the completion of modeling, by inputting above-mentioned each initial parameter, you can the stress situation of change in simulation tunnel work progress;
Step 2:Tunnel stress deformation characteristic is calculated using mesh generation FInite Element, obtains tunnel vault, side The displacement at the positions such as wall, inverted arch, stress;In the constructing tunnel stage, the step number in software represents different construction operating modes, works as engineering Proceed to a certain stage, correspond to corresponding step number, you can obtain the tunnel stress and displacement cloud atlas of different construction stages, at the same time Also the stress and shift value of tunnel surrounding rock body can be obtained, and with the progress immediate updating of engineering;
Step 3:As depicted in figs. 1 and 2, by finite element model calculate monitoring point arrangement at stress and displacement data, And compare and analyze these data and field monitoring data, obtain the pass between the data and monitoring data of model calculating System, and then the ess-strain situation that Tunnel chamber interior walls are not provided with monitoring location is extrapolated, reducing monitoring point The stress of cavern's inner wall, deformation can also be understood while arrangement more comprehensive;It is false to take at vault exemplified by monitoring point The data group such as measured by monitoring point is a1, a2, a3, a4, a5, a6, a7, and is calculated by software at corresponding monitoring location The data obtained group is b1, b2, b3, b4, b5, b6, b7, there are multiple proportion between two groups of data, according to this relation with regard to that can learn Live Tunnel chamber interior walls other do not set monitoring point position stress and shift value;
Step 4:By stress, the strain data of software simulation gained, new database f is converted to by mathematical relationship (x1), with reference to the Physical geographic outline data f (x2), geological condition data f (x3), ambient condition data f (x4) of mountain tunnel, Formed a total Database, then with risk class function F (x)=span { f (x1), f (x2), f (x3), f (x4) } based on, adopt The being associated property of data of total Database is analyzed with FineBI softwares, corresponding prison is made according to the risk class finally obtained Survey early warning.
Certain paths by choosing Tunnel chamber interior walls carry out stress-time, drafting (such as Fig. 4 of displacement-time curve Shown in Fig. 5), analyzing the basic trend of curve and the characteristic of curve can predict which position of inner wall is weaker, If stress sharply increases suddenly, illustrate that the disaster such as rock burst or prominent mud gushing water most probably occurs in the position, according to the change of stress Change amplitude size makes corresponding Risk-warning and Disposal Measures.
The risk class is divided into four grades of blue, yellow, orange, red, and corresponding monitoring and warning is sent according to different grades, Wherein blue early warning represents that same day construction monitoring data reach monitoring and warning requirement, but each side need to be reminded to pay close attention to the monitoring data Continue changing condition;Yellow early warning represents that same day construction monitoring data reach monitoring and warning requirement, and comprehensive descision is acceptable wind Danger, scene need to take the precautionary measures;Orange warning represents that same day construction monitoring data reach monitoring and warning requirement, and surrounding enviroment Complexity, comprehensive descision is is reluctant to receive risk, and engineering is in unsafe condition, and scene need to take immediate steps;Red early warning table Show that same day construction monitoring data reach monitoring and warning requirement, and without effective measures, comprehensive descision is unacceptable risk, engineering department In the state of speedily carrying out rescue work.
Repeat step two carries out the risk analysis of tunnel of mountain tunnel construction overall process, reaches control tunnel to step 4 The purpose of risk.

Claims (1)

1. the mountain tunnel Construction Risk Assessment method based on CAE finite element models, it is characterised in that comprise the following steps:
Step 1:By CAE finite element softwares, mountain tunnel finite element model is established, is built especially by ABAQUS-CAE softwares Vertical mountain tunnel threedimensional model, wherein, the initial parameter that model includes is:It can carry out the tunnel cross-section form of direct editing And size, country rock grade and lining style by varying material property into edlin;
Step 2:Tunnel stress deformation characteristic is calculated using mesh generation FInite Element, obtain tunnel vault, side wall, The displacement at inverted arch position, stress;
Step 3:By finite element model calculate monitoring point arrangement at stress and displacement data, and by these data with scene Monitoring data compare and analyze, and obtain the relation between the data and monitoring data of model calculating, and then extrapolate Tunnel Chamber interior walls are not provided with the ess-strain situation at monitoring location;
Step 4:By stress, the strain data of software simulation gained, new database f (x1) is converted to by mathematical relationship, With reference to the Physical geographic outline data f (x2), geological condition data f (x3), ambient condition data f (x4) of mountain tunnel, formed One total Database, then with risk class function F (x)=span { f (x1), f (x2), f (x3), f (x4) } based on, use FineBI softwares analyze the being associated property of data of total Database, obtain stress time curve and displacement-time curve, root Monitoring and warning is made according to the risk class finally obtained.
CN201810040972.1A 2018-01-16 2018-01-16 Mountain tunnel Construction Risk Assessment method based on CAE finite element models Pending CN107944204A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810040972.1A CN107944204A (en) 2018-01-16 2018-01-16 Mountain tunnel Construction Risk Assessment method based on CAE finite element models

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810040972.1A CN107944204A (en) 2018-01-16 2018-01-16 Mountain tunnel Construction Risk Assessment method based on CAE finite element models

Publications (1)

Publication Number Publication Date
CN107944204A true CN107944204A (en) 2018-04-20

Family

ID=61937639

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810040972.1A Pending CN107944204A (en) 2018-01-16 2018-01-16 Mountain tunnel Construction Risk Assessment method based on CAE finite element models

Country Status (1)

Country Link
CN (1) CN107944204A (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110688806A (en) * 2019-11-29 2020-01-14 清华四川能源互联网研究院 Hydraulic tunnel risk assessment method and device and terminal equipment
CN111680350A (en) * 2020-06-08 2020-09-18 中铁十四局集团大盾构工程有限公司 Safety assessment method and device for shield tunnel and computer readable storage medium
CN111695783A (en) * 2020-05-20 2020-09-22 中国路桥工程有限责任公司 Overseas construction safety information network system based on Beidou
CN112487533A (en) * 2020-11-30 2021-03-12 北京航空航天大学 Full-section stress sensing method of tunnel structure health monitoring system
CN113487128A (en) * 2021-05-21 2021-10-08 上海建工一建集团有限公司 Construction early warning method
CN113505957A (en) * 2021-05-21 2021-10-15 上海建工一建集团有限公司 Construction early warning method considering risk factor coupling
CN115183965A (en) * 2022-05-17 2022-10-14 中铁西北科学研究院有限公司 Tunnel lining earthquake accumulated damage evaluation method suitable for vibration table test
CN115640996A (en) * 2022-09-30 2023-01-24 中铁二十局集团有限公司 Evaluation method for water inrush disaster of tunnel in water-rich complex stratum

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102434209A (en) * 2011-11-03 2012-05-02 上海理工大学 Monitoring method for influence on adjacent existing structures from tunnel excavation
CN102880918A (en) * 2012-09-21 2013-01-16 上海隧道工程股份有限公司 Deep foundation pit risk assessment method based on data fusion analysis
CN103984995A (en) * 2014-05-20 2014-08-13 上海建科工程咨询有限公司 Judgment method of deep foundation pit engineering risk early-warning index based on benefit-danger balance point
CN104636612A (en) * 2015-02-03 2015-05-20 山东大学 Karst tunnel water outburst and mud outburst overall process gradual dynamic risk assessment method
CN107194049A (en) * 2017-05-09 2017-09-22 山东大学 A kind of multi objective Grade system of tunnels and underground engineering rockfall risk

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102434209A (en) * 2011-11-03 2012-05-02 上海理工大学 Monitoring method for influence on adjacent existing structures from tunnel excavation
CN102880918A (en) * 2012-09-21 2013-01-16 上海隧道工程股份有限公司 Deep foundation pit risk assessment method based on data fusion analysis
CN103984995A (en) * 2014-05-20 2014-08-13 上海建科工程咨询有限公司 Judgment method of deep foundation pit engineering risk early-warning index based on benefit-danger balance point
CN104636612A (en) * 2015-02-03 2015-05-20 山东大学 Karst tunnel water outburst and mud outburst overall process gradual dynamic risk assessment method
CN107194049A (en) * 2017-05-09 2017-09-22 山东大学 A kind of multi objective Grade system of tunnels and underground engineering rockfall risk

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
施春晖等: "高速公路隧道施工动态监测与有限元数值模拟分析", 《江苏建筑》 *
柳尚等: "复杂地质条件下隧道施工全过程风险管理技术及系统研发应用", 《公路》 *

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110688806A (en) * 2019-11-29 2020-01-14 清华四川能源互联网研究院 Hydraulic tunnel risk assessment method and device and terminal equipment
CN111695783B (en) * 2020-05-20 2023-06-27 中国路桥工程有限责任公司 Beidou-based construction safety information network system
CN111695783A (en) * 2020-05-20 2020-09-22 中国路桥工程有限责任公司 Overseas construction safety information network system based on Beidou
CN111680350A (en) * 2020-06-08 2020-09-18 中铁十四局集团大盾构工程有限公司 Safety assessment method and device for shield tunnel and computer readable storage medium
CN111680350B (en) * 2020-06-08 2024-02-27 中铁十四局集团大盾构工程有限公司 Safety evaluation method and device for shield tunnel and computer readable storage medium
CN112487533A (en) * 2020-11-30 2021-03-12 北京航空航天大学 Full-section stress sensing method of tunnel structure health monitoring system
AU2021273655B2 (en) * 2020-11-30 2023-04-06 Beihang University Full-section force bearing sensing method of tunnel-structure health monitoring system
CN113505957A (en) * 2021-05-21 2021-10-15 上海建工一建集团有限公司 Construction early warning method considering risk factor coupling
CN113487128A (en) * 2021-05-21 2021-10-08 上海建工一建集团有限公司 Construction early warning method
CN115183965A (en) * 2022-05-17 2022-10-14 中铁西北科学研究院有限公司 Tunnel lining earthquake accumulated damage evaluation method suitable for vibration table test
CN115183965B (en) * 2022-05-17 2023-08-08 中铁西北科学研究院有限公司 Tunnel lining earthquake accumulated damage evaluation method suitable for vibrating table test
CN115640996A (en) * 2022-09-30 2023-01-24 中铁二十局集团有限公司 Evaluation method for water inrush disaster of tunnel in water-rich complex stratum
CN115640996B (en) * 2022-09-30 2024-03-19 中铁二十局集团有限公司 Assessment method for water-rich complex stratum tunnel gushing water disaster

Similar Documents

Publication Publication Date Title
CN107944204A (en) Mountain tunnel Construction Risk Assessment method based on CAE finite element models
KR101650480B1 (en) System and method for tunnel bim simmulation using tunnel construction data and tunnel face xml data
CN106227977B (en) A kind of method of the steel structure net rack hydraulic pressure lift time-varying finite element analysis based on BIM
CN106204745B (en) Monitoring BIM model rapid loading interaction method and system based on standard atlas management
CN109657310B (en) Real-time dynamic virtual reality simulation method for gas explosion in coal mine
CN102239507B (en) For the mess generation system and method for discrete fracture modeling
CN110210776B (en) Tunnel construction dynamic risk assessment method based on monitoring measurement
CN106339820A (en) Marine structure observed behavior multi-dimensional analysis method based on virtual reality and system
CN115759378A (en) Dam safety analysis early warning system and method based on digital twins
CN104678954A (en) Dam safety intelligent monitoring and pre-warning system based on full life circle and method thereof
CN110263456B (en) Tunnel dynamic feedback analysis system based on IFC standard
CN105205864B (en) Geologic structure face threedimensional model method for automatic modeling and system based on multi-source data
CN109145445A (en) A kind of hydroelectric project intelligent construction management system
Lin et al. Automating closed-loop structural safety management for bridge construction through multisource data integration
CN110008591A (en) A kind of continuous rigid frame bridge construction management control method based on BIM
CN114201798A (en) BIM + GIS technology-based long and large tunnel digital twinning system and method
CN110990914A (en) BIM technology-based large boiler installation method
CN106952000A (en) A kind of Karst Regional landslide disaster risk dynamic assessment method
CN111583067A (en) Urban underground large space construction safety early warning and emergency decision-making method and system
CN115659729A (en) Dam safety monitoring analysis method and system based on structural simulation calculation
CN112926110A (en) Real-time visual early warning method for risks in construction process of subway station
CN110440950B (en) Large-volume concrete temperature monitoring visualization system and method based on optical fiber temperature measurement
CN116596483A (en) Bridge construction organization method based on three-dimensional digital technology
Tian et al. Intelligent early warning system for construction safety of excavations adjacent to existing metro tunnels
CN102880918A (en) Deep foundation pit risk assessment method based on data fusion analysis

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: 20180420

RJ01 Rejection of invention patent application after publication