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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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Life-cycle of structural systems: recent achievements and future directions

TL;DR: A brief overview of the recent research achievements in the field of life-cycle engineering for civil and marine structural systems is presented in this paper, where the authors indicate future dire threats of structural degradation due to ageing, mechanical stressors, and harsh environment.
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Time-variant sustainability assessment of seismically vulnerable bridges subjected to multiple hazards

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Bridge life-cycle performance and cost: analysis, prediction, optimisation and decision-making

TL;DR: In this paper, a generalised framework for assessing bridge life-cycle performance and cost, with emphasis on analysis, prediction, optimisation and decision-making under uncertainty, is briefly addressed, and a number of significant developments are summarised, including time-variant reliability, risk, resilience and sustainability of bridges, bridge transportation networks and interdependent infrastructure systems.
References
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Journal ArticleDOI

Computational Platform for Predicting Lifetime System Reliability Profiles for Different Structure Types in a Network

TL;DR: In this paper, a computational platform for predicting the lifetime system reliability profiles for different structure types located in an existing network is presented, and numerical examples of three existing bridges (i.e., a steel, a prestressed concrete and a hybrid steel-concrete bridge) are briefly presented to demonstrate the capabilities of the proposed computational platform.
Journal ArticleDOI

Reliability with respect to ultimate strength of a corroding ship hull

TL;DR: In this article, a reliability assessment relative to the ultimate strength failure of a ship hull experiencing structural degradation due to corrosion is presented, where the midship section modulus is considered a random process with a monotonically decreasing mean value.
Journal ArticleDOI

Optimal planning of retrofitting interventions on bridges in a highway network

TL;DR: In this article, the optimal planning of retrofitting interventions on bridges included in a highway network, taking into account their deterioration and the limitation of available economic resources, is investigated, with reference to a 10-node network.
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Probability-based ship structural safety analysis

TL;DR: In this paper, the authors demonstrate the use of probability-base ship structural safety analysis and enumerate the benefits and drawbacks of using probability-based ship safety analysis in comparison with traditional methods.
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