Structural Reliability
Maurice Lemaire, Alaa Chateauneuf, Jean‐Claude Mitteau · 2009
Cited by 178
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About 10,000 papers for “Structural reliability”
Maurice Lemaire, Alaa Chateauneuf, Jean‐Claude Mitteau · 2009
Cited by 178
Mark G. Stewart · Encyclopedia of Quantitative Risk Analysis and Assessment · 2008
Abstract Structural systems such as buildings, bridges, water tanks, containment vessels, and communication towers are often represented as load‐resistance systems. In all cases, these structures represent substantial and expensive assets that are unique or “one‐off”. Even apparently, similar buildings have different occupancy loads, foundations, connection details, etc. Clearly, their reliability cannot be directly inferred from observation of failures or other experimental studies. In these circumstances, reliabilities need to be predicted from predictive models and probabilistic methods. As such, there is a clear recognition that uncertainty and variability are associated with many variables describing a structure's performance and that this can be accounted for explicitly by the use of probability distributions and structural reliability theory. Structural reliability theory allows the probability of failure to be predicted where failure is defined to occur when load exceeds a resistance. Not surprisingly, structural reliability theory underpins many recent advances in structural and safety engineering, including development of design and assessment codes, predicting service‐life performance, and assessment and maintenance of aging and deteriorating structures.
Cited by 76
Yan‐Gang Zhao, Zhao‐Hui Lu · 2021
Cited by 40
Fundamental studies in engineering · 1989
Cited by 13
Ajit Kumar Verma, Srividya Ajit, Durga Rao Karanki · Springer series in reliability engineering · 2015
Cited by 2
Jorge E. Hurtado · 2004
Cited by 60
Emil Simiu, DongHun Yeo · 2019
Cited by 7
Ser Tong Quek · New directions in civil engineering · 2002
Cited by 8
2013
Cited by 31
Dang Van Thuong, · Open Repository and Bibliography (University of Liège) · 2018
This is my lecture for civil engineering student in Vietnam. The lecture includes 7 sections.
Cited by 0Open access
Isaac Elishakoff, Roberta Santoro · 2013
Abstract: In this paper we study the reliability of calculations of the structural reliability. It compares the exact reliability expression within the Bernoulli-Euler column theory with its counterpart obtained via the finite difference expression in the buckling context.
Cited by 1
Shun‐Peng Zhu, Behrooz Keshtegar · Structural integrity · 2025
Cited by 2Open access
J.T. Stone, David Blockley · 1994
Cited by 28
Srinivasan Chandrasekaran · 2016
Cited by 37
Cao Wang · Springer series in reliability engineering · 2020
Cited by 52
Robert E. Melchers, X. L. Guan · American Society of Civil Engineers eBooks · 2007
Cited by 0
Louis J. M. Aslett · 2012
Perform structural reliability analysis, including computation and simulation with system signatures, Samaniego (2007) <<a href="https://doi.org/10.1007%2F978-0-387-71797-5" target="_top">doi:10.1007/978-0-387-71797-5</a>>, and survival signatures, Coolen and Coolen-Maturi (2013) <<a href="https://doi.org/10.1007%2F978-3-642-30662-4_8" target="_top">doi:10.1007/978-3-642-30662-4_8</a>>. Additionally supports parametric and topological inference given system lifetime data, Aslett (2012) <<a href="https://www.louisaslett.com/PhD_Thesis.pdf" target="_top">https://www.louisaslett.com/PhD_Thesis.pdf</a>>.
Cited by 16Open access
Guo‐Qiang Li, Jinjun Li · 2007
This chapter contains sections titled: Fundamentals of Structural Reliability Theory The First-Order Second-Moment (FOSM) Methods for Structural Reliability Assessment Effects of Correlation Among Random Variables Structural System Reliability and Boundary Theory Semi-Analytical Simulation Method for System Reliability Example
Cited by 2
William S. Griffith, A.C. Lucia · Journal of the American Statistical Association · 1989
Cited by 1
Armen Der Kiureghian · Cambridge University Press eBooks · 2022
Based on material taught at the University of California, Berkeley, this textbook offers a modern, rigorous and comprehensive treatment of the methods of structural and system reliability analysis. It covers the first- and second-order reliability methods for components and systems, simulation methods, time- and space-variant reliability, and Bayesian parameter estimation and reliability updating. It also presents more advanced, state-of-the-art topics such as finite-element reliability methods, stochastic structural dynamics, reliability-based optimal design, and Bayesian networks. A wealth of well-designed examples connect theory with practice, with simple examples demonstrating mathematical concepts and larger examples demonstrating their applications. End-of-chapter homework problems are included throughout. Including all necessary background material from probability theory, and accompanied online by a solutions manual and PowerPoint slides for instructors, this is the ideal text for senior undergraduate and graduate students taking courses on structural and system reliability in departments of civil, environmental and mechanical engineering.
Cited by 82