[1] Guo Tong, Li Aiqun, Miao Changqing,. Monte Carlo numerical simulation and its applicationin probability analysis of long span bridges [J]. Journal of Southeast University (English Edition), 2005, 21 (4): 469-473. [doi:10.3969/j.issn.1003-7985.2005.04.019]

Copy

Monte Carlo numerical simulation and its applicationin probability analysis of long span bridges()

Share：

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

21

Issue:

2005 4

Page:

469-473

Research Field:

Architecture

Publishing date:

2005-12-30

Info

Title:

Monte Carlo numerical simulation and its applicationin probability analysis of long span bridges

Author(s):

Guo Tong;  Li Aiqun;  Miao Changqing

College of Civil Engineering, Southeast University, Nanjing 210096, China

Keywords:

condition assessment;  health monitoring;  structure probability;  Monte Carlo method

PACS:

TU279.7+2

DOI:

10.3969/j.issn.1003-7985.2005.04.019

Abstract:

To get the probability of long span bridges under the influence of external random factors, the Monte Carlo method using Latin hypercube sampling is applied.Combined with the condition assessment system on Runyang Suspension Bridge, which is the longest suspension bridge in China, the structural probabilities in normal and damaged situations are calculated with the external random factors considered including environmental temperature, wind load, load of vehicles, etc.The main assessment items contain the maximal vertical displacement of girder, the maximal stress of cables, the maximal horizontal displacement of towers etc.Finally, the probabilities and their cumulative distribution functions are provided.The analysis results can be plotted on line in a clear and vivid way, so the efficiency of assessment is increased and the decision-making of maintenance is more objective and accurate.

References:

[1] Rens Kevin L, Nogueira Carnot L, Transue David J.Bridge management and nondestructive evaluation [J].Journal of Performance of Constructed Facilities, 2005, 19(1):3-16.
[2] Bergmeister K, Santa U.Global monitoring concepts for bridges [A].In:Nondestructive Evaluation of Highways, Utilities, and Pipelines IV, Proceedings of SPIE [C].Newport Beach, USA, 2000. 14-25.
[3] Wong K Y, Chan W Y K, Man K L.The use of structural health monitoring system in operation & maintenance of cable supported bridges [A].In:One Day Annual Seminar Structural Symposium 2000 Highway and Railway Structures [C].Hong Kong, 2000.108-133.
[4] Guo Tong, Li Aiqun, Li Zhaoxia, et al. Progress in condition assessment methods for long span bridges [J].Journal of Southeast University (Natural Science Edition), 2004, 34(5):699-704.(in Chinese)
[5] Zhao Guofan, Jin Weiliang, Gong Jinxin.Theories of structural probability [M].Beijing:China Architecture and Building Press, 2000.79-201.(in Chinese)
[6] Kececioglu D.Reliability Engineering Handbook [M].Englewood Cliffs, New Jersey:Prentice-Hall Inc, 1991.83-101.
[7] Li Zhaoxia, Li Aiqun, Tommy Chan, et al.Finite element modeling for health monitoring and condition assessment of long-span bridges [J].Journal of Southeast University (Natural Science Edition), 2003, 33(5):562-572.(in Chinese)
[8] Guo Tong, Li Aiqun.Model updating of long span bridges based on structural sensitivity analysis and the optimization method [A].In:3rd China-Japan-US Symposium on Health Monitoring and Control of Structures [C].Dalian, China, 2004.304-308.

Memo

Memo:

Biographies: Guo Tong(1977—), male, doctor;Li Aiqun(corresponding author), male, doctor, professor, aiqunli@public1.ptt.js.cn.

Common functions