Inverse First-Order Reliability Method for Probabilistic Fatigue Life Prediction of Composite Laminates under Multiaxial Loading-Reference-Cited by-同舟云学术

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Inverse First-Order Reliability Method for Probabilistic Fatigue Life Prediction of Composite Laminates under Multiaxial Loading

Published:2011-04 Issue:2 Volume:24 Page:189-198
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Xiang Yibing¹²,Liu Yongming¹²

Affiliation:

1. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Clarkson Univ., Potsdam, NY 13699. E-mail: xiangyi@clarkson.edu

2. Assistant Professor, Dept. of Civil and Environmental Engineering, Clarkson Univ., Potsdam, NY 13699 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29AS.1943-5525.0000023

Reference31 articles.

1. Combined bending torsional fatigue of woven rowing GRP;Aboul Wafa M. N.;J. Eng. Mater. Technol.,1997

2. DYNAMIC RESPONSE ANALYSES AND MODEL VIBRATION TESTS ON SEISMIC ISOLATING FOUNDATION OF BRIDGE PIER

3. A new approach for solving inverse reliability problems with implicit response functions

4. Application of first and second order reliability methods in the safety assessment of cracked steam generator tubing

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1. A critical plane-based model for mixed-mode delamination growth rate prediction under fatigue cyclic loadings;Composites Part B: Engineering;2018-04

2. Assessment and propagation of mechanical property uncertainties in fatigue life prediction of composite laminates;Journal of Composite Materials;2018-03-22

3. Equivalent Stress Transformation for Efficient Probabilistic Fatigue-Crack Growth Analysis under Variable Amplitude Loadings;Journal of Aerospace Engineering;2016-03

4. Fatigue life prediction for aging RC beams considering corrosive environments;Engineering Structures;2014-11

5. A modified method to calculate reliability index using maximum entropy principle;Journal of Central South University;2013-04

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