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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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Deep learning-based evaluation of factor of safety with confidence interval for tunnel deformation in spatially variable soil

TL;DR: The excellent agreement between the CNN model prediction and the RFDM calculated results demonstrated that the proposed deep learning-based method has potential for tunnel performance analysis in spatially variable soils.
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Multiple hazard incidents lifecycle cost assessment of structural systems considering state-dependent repair times and fragility curves

TL;DR: In this article, the authors proposed a comprehensive framework for the assessment of lifecycle cost of infrastructures subject to multiple hazard events throughout their decision-making time horizon, which entails the lifecycle costs of maintenance and repair, as well as the salvage value of the structure at the end of the decision making time horizon.
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Efficient multi-objective optimisation of probabilistic service life management

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Eco-Friendly Design of Reinforced Concrete Retaining Walls: Multi-objective Optimization with Harmony Search Applications

TL;DR: Considering the eco-friendly design necessities of reinforced concrete structures, the acquirement of minimizing both the cost and the CO 2 emission of the reinforced concrete retaining walls in conjunction with ensuring stability conditions has been investigated using harmony search algorithm.
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Hazard-Based Optimum Lifetime Inspection and Repair Planning for Deteriorating Structures

TL;DR: In this article, the hazard function is used to provide optimal inspection/repair lifetime planning for deteriorating structures through an iterative procedure, where constraints are imposed based on both the maximum allowable expected total cost and minimum allowable effectiveness of each intervention.
References
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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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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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