TY - JOUR
T1 - Nonprobabilistic time-dependent reliability analysis for uncertain structures under interval process loads
AU - Gong, Jinglei
AU - Wang, Xiaojun
AU - Lv, Tangqi
AU - Yang, Junliu
AU - Zhou, Linhui
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2024/10
Y1 - 2024/10
N2 - In this paper, a novel nonprobabilistic analysis framework is proposed to evaluate the time-dependent reliability of uncertain structures under time-varying loads. Firstly, a novel uncertainty propagation method is developed by combining interval process integration and surrogate-based interval analysis and the correlation coefficient between responses of adjacent time steps is further analyzed. Subsequently, the nonprobabilistic time-dependent reliability is analyzed base on the first-passage theory and the established interval model. Unlike existing nonprobabilistic methods that consider time-invariant external loads, the proposed method applies an interval process to describe time-varying external loads, thereby offering a broader range of applicability. Compared to existing nonprobabilistic methods that consider time-varying loads, the proposed method establishes a more refined nonprobabilistic time-dependent reliability model based on the first passage theory, achieving higher accuracy. The effectiveness and superiority of the proposed method are validated through a numerical example and an engineering application.
AB - In this paper, a novel nonprobabilistic analysis framework is proposed to evaluate the time-dependent reliability of uncertain structures under time-varying loads. Firstly, a novel uncertainty propagation method is developed by combining interval process integration and surrogate-based interval analysis and the correlation coefficient between responses of adjacent time steps is further analyzed. Subsequently, the nonprobabilistic time-dependent reliability is analyzed base on the first-passage theory and the established interval model. Unlike existing nonprobabilistic methods that consider time-invariant external loads, the proposed method applies an interval process to describe time-varying external loads, thereby offering a broader range of applicability. Compared to existing nonprobabilistic methods that consider time-varying loads, the proposed method establishes a more refined nonprobabilistic time-dependent reliability model based on the first passage theory, achieving higher accuracy. The effectiveness and superiority of the proposed method are validated through a numerical example and an engineering application.
KW - Interval process
KW - Kriging surrogate model
KW - Nonprobabilistic analysis
KW - Time-dependent reliability
KW - Time-varying uncertainty
UR - https://www.scopus.com/pages/publications/85205374045
U2 - 10.1016/j.probengmech.2024.103687
DO - 10.1016/j.probengmech.2024.103687
M3 - 文章
AN - SCOPUS:85205374045
SN - 0266-8920
VL - 78
JO - Probabilistic Engineering Mechanics
JF - Probabilistic Engineering Mechanics
M1 - 103687
ER -