Collaborative modeling-based improved moving Kriging approach for low-cycle fatigue life reliability estimation of mechanical structures-Reference-Cited by-同舟云学术

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Collaborative modeling-based improved moving Kriging approach for low-cycle fatigue life reliability estimation of mechanical structures

Published:2024-06 Issue: Volume:246 Page:110092
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Zhu Chun-Yan,Li Zhen-Ao,Dong Xiao-Wei^ORCID,Wang Ming^ORCID,Li Qing-Da

Publisher

Elsevier BV

Reference42 articles.

1. Fatigue reliability analysis for structures with known loading trend;Hu;Struct Multidiscip Optim,2014

2. An improved damage model using the construction technology of virtual load spectrum and its statistical analysis;Ye;Fatigue Fract Eng Mater Struct,2018

3. Fatigue life reliability prediction of a stub axle using Monte Carlo simulation;Asri;Int J Automot Technol,2011

4. Efficient methods for time-dependent fatigue reliability analysis;Liu;AIAA J,2009

5. Full second-order approach for expected value and variance prediction of probabilistic fatigue crack growth life;Mallor;Int J Fatigue,2020

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1. Operational reliability assessment of complex mechanical systems with multiple failure modes: An adaptive decomposition-synchronous-coordination approach;Reliability Engineering & System Safety;2025-01

2. Distributed-collaborative surrogate modeling approach for creep-fatigue reliability assessment of turbine blades considering multi-source uncertainty;Reliability Engineering & System Safety;2024-10

3. Construction and Characteristic Analysis of Dynamic Stress Coupling Simulation Models for the Attitude-Adjustable Chassis of a Combine Harvester;Agronomy;2024-08-22

4. Adaptive optimization deep neural network framework of reliability estimation for engineering structures;Structures;2024-06

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