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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Proceedings ArticleDOI
Multiobjective sizing optimization of a steel girder bridge with a simple Target-driven approach
TL;DR: A simple strategy for multiobjective target-driven optimization that combines a-priori with interactive preference-handling approaches is presented and applied to the sizing optimization of a steel girder bridge.
Life-cycle maintenance, monitoring, and inspection optimization for ship structures under uncertainty
TL;DR: In this paper, a probabilistic optimization approach for scheduling inspections, monitoring, and maintenance actions along the life-cycle of ships under fatigue deterioration is presented, which yields the optimum interventions times and types that facilitate the minimization of expected life cycle maintenance and inspection cost.
Proceedings ArticleDOI
Reliability-Based Safety Assessment of Bridge Members on Monitored Live Load Effects
TL;DR: In this article, the probability density of strain of sensors locations based on the monitoring data was researched and the reliability index was shifted to the differentiation value, and an illustration of the proposed approach is provided on Hongdao Bay Bridge located in Qingdao, China.
Proceedings ArticleDOI
Value of Information from Condition Inspection for a Gamma Degradation Process
William Fauriat,Enrico Zio +1 more
TL;DR: Value of Information (VoI) may be used to assess the impact of uncertainty reduction on the outcome of health management decisions in the context of a continuous degradation, modeled through a gamma process.
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.
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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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