Journal ArticleDOI
Life-cycle performance, management, and optimisation of structural systems under uncertainty: accomplishments and challenges 1
TLDR
In this paper, the authors highlight recent accomplishments in the life-cycle performance assessment, maintenance, monitoring, management and optimisation of structural systems under uncertainty, and identify challenges in this area.Abstract:
Our knowledge to model, analyse, design, maintain, monitor, manage, predict and optimise the life-cycle performance of structures and infrastructures under uncertainty is continually growing. However, in many countries, including the United States, the civil infrastructure is no longer within desired levels of performance and safety. Decisions regarding civil infrastructure systems should be supported by an integrated reliability-based life-cycle multi-objective optimisation framework by considering, among other factors, the likelihood of successful performance and the total expected cost accrued over the entire life-cycle. The primary objective of this paper is to highlight recent accomplishments in the life-cycle performance assessment, maintenance, monitoring, management and optimisation of structural systems under uncertainty. Challenges are also identified.read more
Citations
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Journal ArticleDOI
Life-cycle cost analysis of bridges subjected to fatigue damage
TL;DR: In this paper, the authors proposed a framework for LCCA based on the use of the Pacific Earthquake Engineering Research (PEER) equation which is for the first time utilized for fragility and cost analysis of bridges subjected to fatigue, highlighting the possibility of treating the problem of fatigue damage estimation with an approach similar to the one currently adopted for damage induced by other hazards, like earthquake and wind.
Journal ArticleDOI
Probability density evolution method and its application in life-cycle civil engineering
Jie Li,Xiangling Gao +1 more
TL;DR: A family of generalised probability density evolution equations (GPDEE) have been developed in recent years based on the principle of preservation of probability incorporated with uncoupled physical equations as discussed by the authors.
Proceedings ArticleDOI
Uncertainty Modeling in Bridge Network Maintenance Optimization
Paolo Bocchini,Dan M. Frangopol +1 more
TL;DR: In this paper, a series of tools, methods, and convenient solutions are used to model and handle efficiently the huge amount of random variables associated with techniques for the life-cycle simulation and maintenance optimization of bridge networks.
Journal ArticleDOI
混凝土结构低碳设计理论前瞻
TL;DR: Wang et al. as mentioned in this paper proposed a low-carbon structural design method for concrete structures, focusing on the quantitative characterization of structure-environment dynamic coupling, and established a structural sustainability indicator to simultaneously reflect the structural reliability and carbon emission level.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Journal ArticleDOI
A fast and elitist multiobjective genetic algorithm: NSGA-II
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Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
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TL;DR: This research attacked the mode confusion problem by developing a modeling framework called “model schizophrenia” to estimate the posterior probability of various modeled errors.
American Association of State Highway and Transportation Officials. Highway Drainage Guidelines American Association of State Highway and Transportation Officials. LRFD Bridge Design Specifications
TL;DR: The 2003 AASHTO Subcommittee on Design, Task Force on Geometric Design was held in Charleston, South Carolina during the period July 13 through July 16, 2003 as mentioned in this paper and the purpose of the meeting was to review several documents undergoing revision, review the proposed revisions to the superelevation discussion in the Green Book, consider future research, and other administrative matters of concern to the Task Force Membership.
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