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Multi-point active learning probability density evolution method

delete2025-07-08
delete0
PRE
AI
T
Tong Zhou
T
Tong Guo
X
Xujia Zhu *
A
Alexandros A. Taflanidis
J
Jize Zhang *
DOI：10.1016/j.strusafe.2025.102633delete
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Abstract

Abstract

En 中文
• An explicit formulation of failure probability is developed for PDEM. • A tight uncertainty measure of Kriging-based failure probability estimation is proposed. • A multi-point learning function is analytically derived. • The global estimation error of failure probability is decomposed into three parts.

Journal

Structural Safety cover
Structural Safety
IF:
6.3
Papers:
1.4K
Citations:
7.0K

Organization

S
School of Civil Engineering
Scholars:
2.1K
Papers: 826
Citations: 2
D
Department of Civil and Earth Resources Engineering
Scholars:
8
Papers: 6
Citations: 0
L
Laboratoire des signaux et systèmes
Scholars:
14
Papers: 11
Citations: 189
D
Department of Civil
Scholars:
403
Papers: 231
Citations: 1
D
Department of Civil and Environmental Engineering
Scholars:
896
Papers: 520
Citations: 1
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Cited Papers

Cited Papers

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err2025-03-01
err10
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errEllingwood, Bruce; Maes, Marc; Bartlett, F. Michael; Beck, Andre T.; Caprani, Colin; Kiureghian, Armen Der; Duenas-Osorio, Leonardo; Galvao, Neryvaldo; Gilbert, Robert; Li, Jie; Matos, Jose; Mori, Yasuhiro; Papaioannou, Iason; Parades, Roger; Straub, Daniel; Sudret, Bruno
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Simulation of synthetic ground motions for specified earthquake and site characteristics
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errSTRUCTURAL SAFETY
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errOAAI
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err2023-02-04
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researcher View more