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Journal ArticleDOI

Life-cycle performance, management, and optimisation of structural systems under uncertainty: accomplishments and challenges 1

Dan M. Frangopol
- 01 Jun 2011 - 
- Vol. 7, Iss: 6, pp 389-413
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.

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Citations
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Dissertation

Contribution for sustainable management of reinforced concrete structures subjected to chloride penetration

TL;DR: In this article, the authors proposed an extension to environmental criteria in view to find sustainable maintenance solutions for corroding reinforced concrete (RC) structures placed in marine atmospheres, where chloride penetration generates corrosion of the reinforcing bars reducing the RC durability.
Journal ArticleDOI

Critical issues, condition assessment and monitoring of heavy movable structures: emphasis on movable bridges

TL;DR: In this paper, a relatively less studied class of structures is presented based on the research conducted on Florida's movable bridges over the last several years; however, none of these studies provide a comprehensive documentation of issues related to the condition of movable bridge populations in conjunction with possible monitoring applications specific to these bridges.
Book ChapterDOI

Prognosis and life-cycle assessment based on SHM information

TL;DR: This chapter deals with the statistical and probabilistic aspects for efficient prognosis using SHM data and the concepts of the statistics of extremes and decision analysis are employed for cost-effective monitoring planning considering availability of monitoring data and performance prediction error.
Journal ArticleDOI

Probabilistic impacts of corrosion on structural failure and performance limits of reinforced concrete beams

TL;DR: In this paper, reliability analyses were performed on the performance of concrete structures in two limit states of serviceability and structural capacity, and the costs caused by the failure in the life cycle of reinforced concrete beams were evaluated and optimized using renewal process analysis in the capacity limit state.
Journal ArticleDOI

Optimal inspection and maintenance planning for deteriorating structural components through dynamic Bayesian networks and Markov decision processes

- 01 Jan 2022 - 
TL;DR: Partially Observable Markov Decision Processes (POMDPs) provide a principled mathematical methodology for stochastic optimal control under uncertain action outcomes and observations, in which the optimal actions are prescribed as a function of the entire, dynamically updated, state probability distribution as discussed by the authors .
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

TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.

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.
Book

Probability Concepts in Engineering Planning and Design

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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