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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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Journal ArticleDOI

LCC-based identification of geographical locations suitable for using stainless steel rebars in reinforced concrete girder bridges

TL;DR: In this paper, reinforced concrete (RC) bridges under traffic loads and a severe airborne chloride environment require more frequent and intensive maintenance activities to preserve an adequate performance level, which is difficult to achieve.
Journal ArticleDOI

Towards next generation design of sustainable, durable, multi-hazard resistant, resilient, and smart civil engineering structures

TL;DR: In this article , the authors discuss the necessity, challenge and opportunity for the development of the next generation design of sustainable, durable, multi-hazard resistant, resilient and smart civil engineering structures, which are named as SDuMuRS.
Journal ArticleDOI

Life-cycle reliability-based design and reliability updating of reinforced concrete shield tunnels in coastal regions

TL;DR: A reliability-based durability design criterion to determine the concrete cover and concrete quality for preventing the deterioration of structural performance during the structural service life is proposed and an approach to update structural reliability is established based on Sequential Monte Carlo Simulation.
Journal ArticleDOI

Probability-based multiple-criteria optimization of bridge maintenance using monitoring and expected error in the decision process

TL;DR: A probability-based approach for multiple criteria optimization of bridge maintenance strategies based on SHM is proposed and a measure of the error in the decision process, based on monitoring occurrence and duration, is proposed.
Journal ArticleDOI

Analyzing the Long-Term Service Life of MEP Using the Probabilistic Approach in Residential Buildings

Sanghyo Lee, +1 more
- 21 Oct 2018 - 
TL;DR: In this article, a probabilistic approach for long-term maintenance planning of residential buildings is proposed, where a service life matrix was established by classifying the MEP components into 12 types and setting the service life time at 6-25 years.
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.
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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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