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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

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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

Optimal bridge maintenance planning using improved multi-objective genetic algorithm

TL;DR: In this article, an attempt is made to develop a bridge management system that can provide practical maintenance plans by using an improved multi-objective genetic algorithm, and a group of bridges is analyzed to demonstrate the applicability and efficiency of the proposed method.
Journal ArticleDOI

Reliability-based condition assessment of deteriorating concrete bridges considering load redistribution

TL;DR: In this paper, the condition of reinforced concrete girder bridges is assessed using a time-variant system reliability approach in which both load and resistance are time-varying quantities.
Journal Article

Redundancy in highway bridges

TL;DR: In this paper, the authors review definitions of deterministic and probabilistic system redundancy measures which could be used in the design and evaluation of highway bridges and evaluate the redundancy of an existing steel girder bridge.
Journal ArticleDOI

Development of truck weight regulations using bridge reliability model

TL;DR: In this paper, the authors illustrate how new truck weight regulations can be developed to provide acceptable safety levels and derive target safety levels from existing AASHTO bridge evaluation and rating procedures applied to structures showing adequate performance levels.
Journal ArticleDOI

Service life prediction of structural systems using lifetime functions with emphasis on bridges

TL;DR: A model using lifetime functions to evaluate the overall system probability of survival of existing bridges, under maintenance or no maintenance, is proposed, and the optimal maintenance strategy of this bridge is obtained in terms of service life extension and cumulative maintenance cost.
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