
Probability based global sensitivity analysis of fatigue reliability of steel structures
Author(s) -
Zdeněk Kala
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/668/1/012015
Subject(s) - structural engineering , sensitivity (control systems) , latin hypercube sampling , reliability (semiconductor) , fracture mechanics , limit state design , fracture (geology) , sobol sequence , fatigue limit , mathematics , materials science , engineering , monte carlo method , statistics , physics , composite material , power (physics) , quantum mechanics , electronic engineering
This article focuses on reliability-oriented global sensitivity analysis of the fatigue limit state of a steel member stressed by many times repeated loading. The fatigue limit state is associated with fatigue failure, which is caused by brittle fracture due to propagation of a fatigue crack from initial to critical size. The fatigue crack propagation is analysed using linear fracture mechanics. The fundamental question in terms of structural reliability is how significant is the effect of input random quantities on the probability of failure. A new type of global sensitivity analysis subordinated to a contrast identified the equivalent stress range and initial edge crack length as random quantities that most significantly influence the failure probability. The new findings obtained using the contrast-based global sensitivity analyses show interaction effects that are unusually strong in comparison with some results of Sobol’s sensitivity analysis aimed at the reliability of structures. The sensitivity indices are estimated using double-nested-loop simulation of the Latin Hypercube Sampling method.