State-of-the-Art Reviews
Jul 31, 2021

Time-Dependent Reliability of Aging Structures: Overview of Assessment Methods

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 7, Issue 4

Abstract

Reliability assessment of engineered structures is a powerful and useful concept to estimate the structural capacity of withstanding hazardous events during their service lives. Taking into account the time variation of both structural resistance and the external load processes, the structural safety level is dependent on the duration of service period of interest, due to the accumulation of hazards by exposure in time. This paper presents an overview on the nonempirical assessment methods for time-dependent reliability of deteriorating structures. Generally, these methods can be classified into two types, namely simulation-based and analytical methods. The former is usually brute, and is especially suitable for solving high-dimensional reliability problems. Conversely, analytical solutions may improve the calculation efficiency significantly, and offer insights into the reliability problem that otherwise could be difficult to achieve through Monte Carlo simulation. Both the simulation-based and analytical methods will be reviewed in this paper. Furthermore, the application of time-dependent reliability methods in practical engineering is discussed. Recommendations for future research efforts are also presented.

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Data Availability Statement

No data, models, or code were generated or used during the study.

Acknowledgments

The first author would like to thank the Institute for Risk and Reliability, Leibniz Universität Hannover, Germany, and the Alexander von Humboldt Foundation for providing support to complete this paper. The thoughtful reviewer comments are gratefully acknowledged, which substantially improved the present paper.

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Volume 7Issue 4December 2021

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Vice-Chancellor’s Postdoctoral Research Fellow, School of Civil, Mining and Environmental Engineering, Univ. of Wollongong, Wollongong, NSW 2522, Australia (corresponding author). ORCID: https://orcid.org/0000-0002-2802-1394. Email: [email protected]
Professor of Uncertainty in Engineering and Head, Institute for Risk and Reliability, Leibniz Univ. Hannover, Hannover 30167, Germany; Professor, Institute for Risk and Uncertainty, Univ. of Liverpool, Liverpool L69 3BX, UK; Guest Professor, International Joint Research Center for Engineering Reliability and Stochastic Mechanics, Tongji Univ., Shanghai 200092, China. ORCID: https://orcid.org/0000-0002-0611-0345. Email: [email protected]
P.E.
Professor and Director, Center for Technology and Systems Management, Dept. of Civil and Environmental Engineering, Univ. of Maryland, College Park, MD 20742. ORCID: https://orcid.org/0000-0003-2692-241X. Email: [email protected]

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