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Mojtaba Sadighi

Researcher at Amirkabir University of Technology

Publications -  174
Citations -  3989

Mojtaba Sadighi is an academic researcher from Amirkabir University of Technology. The author has contributed to research in topics: Finite element method & Beam (structure). The author has an hindex of 31, co-authored 162 publications receiving 3003 citations. Previous affiliations of Mojtaba Sadighi include Delft University of Technology.

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Impact resistance of fiber-metal laminates: A review

TL;DR: In this paper, the authors review relevant literature which deals with experimental evidence of material related and event related impact resistance parameters as well as the articles related to theoretical and numerical simulation of impact loading of fiber metal laminates.
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Experimental and Numerical Investigation of Metal Type and Thickness Effects on the Impact Resistance of Fiber Metal Laminates

TL;DR: In this paper, the impact response of fiber metal laminates was investigated with experiments and numerical simulations, which is reported in this article. And a major part of this study was to accomplish a dynamic non-linear transient analysis to study the impactresponse of FMLs using the commercial finite element (FE) analysis code ABAQUS.
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A study on tensile properties of a novel fiber/metal laminates

TL;DR: In this article, the effect of fiber orientation on tensile behavior of fiber metal laminates is investigated and a modified classical laminate theory and a numerical simulation method based on finite element modeling (FEM) are used to predict the stress-strain response of FMLs.
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An integrated study on the low-velocity impact response of the GLARE fibre-metal laminate

TL;DR: In this article, a progressive quasi-static approach was developed to study the low-velocity impact response of GLARE fiber-metal laminates, and the impacting mass, impact force, and impact duration were assessed for the projectile.
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Computational prediction of the fatigue behavior of additively manufactured porous metallic biomaterials

TL;DR: In this paper, a computational approach based on finite element method was proposed to predict the fatigue behavior of porous biomaterials given their type of repeating unit cell, dimensions of the unit cell and S-N curve of the parent material.