Uncertainty propagation in structural reliability with implicit limit state functions under aleatory and epistemic uncertainties

• Autorzy: Zhou Shuang , Zhang Jianguo , You Lingfei , Zhang Qingyuan

Identyfikatory

DOI

10.17531/ein.2021.2.3

• Języki publikacji: EN

Abstrakty

EN

Uncertainty propagation plays a pivotal role in structural reliability assessment. This paper introduces a novel uncertainty propagation method for structural reliability under different knowledge stages based on probability theory, uncertainty theory and chance theory. Firstly, a surrogate model combining the uniform design and least-squares method is presented to simulate the implicit limit state function with random and uncertain variables. Then, a novel quantification method based on chance theory is derived herein, to calculate the structural reliability under mixed aleatory and epistemic uncertainties. The concepts of chance reliability and chance reliability index (CRI) are defined to show the reliable degree of structure. Besides, the selection principles of uncertainty propagation types and the corresponding reliability estimation methods are given according to the different knowledge stages. The proposed methods are finally applied in a practical structural reliability problem, which illustrates the effectiveness and advantages of the techniques presented in this work.

Słowa kluczowe

EN

structural reliability; uncertainty quantification; uncertainty propagation; reliability index; uncertainty theory

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2021
• Tom: Vol. 23, no. 2
• Strony: 231--241
• Opis fizyczny: Bibliogr. 40 poz., rys., tab.

Twórcy

autor

Zhou Shuang

• School of Reliability and Systems Engineering, Beihang University, Xueyuan Road No.37, Haidian, District, Beijing 100191, China

autor

Zhang Jianguo

• Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, Xueyuan Road No.37, Haidian District, Beijing 100191, China

autor

You Lingfei

• Institute of Unmanned System, Beihang University, Xueyuan Road No.37, Haidian District, Beijing 100191, China

autor

Zhang Qingyuan

• School of Aeronautic Science and Engineering, Beihang University, Xueyuan Road No.37, Haidian District, Beijing 100191, China

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).