Computational & Technology Resources
an online resource for computational,
engineering & technology publications
engineering & technology publications
Civil-Comp Proceedings
ISSN 1759-3433
ISSN 1759-3433
CCP: 106
PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY
PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY
Edited by:
Paper 101
Gamma Process Modelling and Repair Planning of Fatigue Damaged Steel Bridge Members
T.-L. Huang1, H. Zhou1, W.-X. Ren1 and H.-P. Chen2
1School of Civil Engineering, Central South University, Changsha, China
2Department of Civil Engineering, University of Greenwich, Kent, United Kingdom
Full Bibliographic Reference for this paper
T.-L. Huang, H. Zhou, W.-X. Ren, H.-P. Chen, "Gamma Process Modelling and Repair Planning of Fatigue Damaged Steel Bridge Members", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 101, 2014. doi:10.4203/ccp.106.101
Keywords: steel bridge member, fatigue damage, inspection and maintenance strategy, life-cycle cost analysis, Gamma process, genetic algorithm..
Summary
This paper presents a stochastic modelling method for fatigue damage in structural
members of steel bridges. On the basis of the characteristics of fatigue damage
growth, the Gamma process is adopted to simulate the propagation of the fatigue
crack. Based on the stochastic modelling for fatigue damage, the probability of
failure caused by fatigue is predicted over the service life of steel bridges. Then, the
remaining fatigue life of steel bridge members is determined by comparing the crack
length and its predetermined threshold. The effectiveness of maintenance actions for
steel bridge members is measured by reducing the size of fatigue crack length in this
study. In order to evaluate optimum maintenance strategy for the fatigue damaged
steel bridge members, two goals are defined, i.e. to minimize the life-cycle cost,
including the costs for inspection, maintenance and probabilistic failure, and to
maximise the service life after inspection and maintenance. As a result of reliability
analysis, the optimised inspection and maintenance strategy can be determined using
a genetic algorithm. An example of the fatigue damaged stiffening slab in a steel
bridge is investigated to give the Pareto solutions with a set of inspection and
maintenance strategies. The results indicate that the Pareto solutions can provide the
cost-effective maintenance strategy under different service life expectations and lifecycle
costs. This will provide the bridge owners and managers with best choice for
inspection and maintenance strategy.
purchase the full-text of this paper (price £20)
go to the previous paper
go to the next paper
return to the table of contents
return to the book description
purchase this book (price £65 +P&P)