The reliability of the Computational Fourier Transform Moirรฉ (CFTM) and Geometric Phase Analysis (GPA) techniques for strain analysis at ultra-thin layers has been investigated using computer-generated images. Our results revealed that the leakage effect creates error that is linearly dependent on t
Reliability analysis of structural components utilizing the strain-life method
โ Scribed by S. Kandarpa; B.F. Spencer Jr; D.J. Kirkner
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 808 KB
- Volume
- 53
- Category
- Article
- ISSN
- 0013-7944
No coin nor oath required. For personal study only.
โฆ Synopsis
Abstrac~ Traditional strain-life analysis for low-cycle fatigue does not account for the significant random scatter exhibited by the experimental data. In this paper, a stochastic analog of the strain-life approach is presented. The material constants characterizing the strain-life equation are taken to be random variables. The probability of exceeding the random number of cycles to failure for the structural component is then estimated via second order reliability methods. The effect of mean stress on failure probability is included. The problem of a notched specimen subjected to constant amplitude cyclic loading is used to illustrate the approach. Importance factors for the material constants characterizing the problem are analyzed to determine which uncertainties are most significant.
๐ SIMILAR VOLUMES
In this paper two methods are presented for the solution of steel structures taking into account softening phenomena. This behaviour results from the coupling of local buckling and lateral-torsional buckling phenomena and leads to a nonconvex function of the potential energy of the structure. The pr