Ehsan Daneshkhah
Polytechnic University of Turin
14 Papers
4 Citations
Ehsan Daneshkhah is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Finite element method & Nonlinear system. The author has an hindex of 4, co-authored 9 publications.
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Papers
Benchmarks for higher-order modes evaluation in the free vibration response of open thin-walled beams due to the cross-sectional deformations
TL;DR: In this article, a series of thin-walled beams with complex open cross-sections are analyzed and compared using the Modal Assurance Criterion (MAC) and the Carrera Unified Formulation (CUF).
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Numerical vibration correlation technique for thin-walled composite beams under compression based on accurate refined finite element
TL;DR: In this article, a refined finite element based on the Carrera Unified Formulation (CUF) is developed for the evaluation of the variations of the natural frequencies for highly flexible thin-walled composite beams.
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Damage and residual bending strength in glass-polyester molded grating composite panels after low-velocity impact
TL;DR: In this paper, a finite element model has been proposed to predict the strength of the molded grating composite panels against low-velocity impact loads, and the results show that the numerical analysis based on the proposed modified Tserpes model predicts the ultimate force and the slope of the load-displacement diagram with a reasonable accuracy that correlate well with the experimental results.
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Buckling load prediction of functionally graded porous nanocomposite cylindrical shells reinforced with graphene platelets through the vibration correlation technique: Combination of analytical approach and numerical analysis
D. Shahgholian-Ghahfarokhi,Amin Khodadadi,Ehsan Daneshkhah,Hamzeh Salehipour +3 more
TL;DR: This study develops a novel analytical and numerical framework using the vibration correlation technique to predict buckling loads of functionally graded porous nanocomposite cylindrical shells reinforced with graphene platelets, achieving a maximum error of 3.5% compared to nonlinear numerical results.
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Cost-Effective Method of Optimization of Stacking Sequences in the Cylindrical Composite Shells Using Genetic Algorithm
TL;DR: In this paper, a finite element model is proposed in order to predict critical buckling pressure and the results are validated with previous experimental data, which can be used in a very cost-effective method to optimize the buckling problems.
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