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Behrooz Keshtegar

Researcher at Ton Duc Thang University

Publications -  141
Citations -  4447

Behrooz Keshtegar is an academic researcher from Ton Duc Thang University. The author has contributed to research in topics: First-order reliability method & Computer science. The author has an hindex of 32, co-authored 122 publications receiving 2658 citations. Previous affiliations of Behrooz Keshtegar include University of Electronic Science and Technology of China & University of Sistan and Baluchestan.

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Probabilistic framework for fatigue life assessment of notched components under size effects

TL;DR: A probabilistic framework is proposed for fatigue life assessment of notched components under size effects, in which the Smith–Watson–Topper damage parameter is utilized to characterize the multiaxial stress state at the notch tip.
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Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks

TL;DR: A general framework for fatigue reliability analysis is developed by coupling the Latin hypercube sampling with FE analysis to describe the combined effects of multi-source uncertainties to show that geometrical uncertainty matters in structural fatigue reliability.
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Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree

TL;DR: In this paper, four different heuristic regression methods including Kriging, response surface method (RSM), multivariate adaptive regression (MARS) and M5 model tree (M5Tree) have been investigated for accurate estimating of solar radiation with different input data.
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Probabilistic modeling of fatigue life distribution and size effect of components with random defects

TL;DR: In this article, a probabilistic model to account for the influence of manufacturing defects on fatigue life, based on size and position of those defects, is presented, where a correction factor is developed by modeling the damage mechanism of surface initial cracks with Weibull distribution.
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Adaptive conjugate single-loop method for efficient reliability-based design and topology optimization

TL;DR: The numerical experiments demonstrate that the convergence capability of the proposed adaptive conjugate single-loop approach (AC-SLA) is significantly superior to the PMA, RIA, and SORA.