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Cited by 423

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

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

Frangopol, Dan M.·2011·Structure and Infrastructure Engineering

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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Metadata

Authors
Frangopol, D. M.
Venue
Structure and Infrastructure Engineering
Published
2010-05-11
Volume
7
Issue
6
Pages
389-413
ISSN
  • 1573-2479 (ISSN-L)
  • 1744-8980
OpenAlex
W2163757739
Cited by
423
References
37
FWCI
22.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Life-cycle performance, management, and optimisation of structural systems under uncertainty: accomplishments and challenges. https://app.cochat.ai/papers/10.1080/15732471003594427
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Frangopol, D. M. (2011). Life-cycle performance, management, and optimisation of structural systems under uncertainty: accomplishments and challenges. Structure and Infrastructure Engineering. https://doi.org/10.1080/15732471003594427

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.