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Mahdi Arian Nik

Researcher at McGill University

Publications -  8
Citations -  496

Mahdi Arian Nik is an academic researcher from McGill University. The author has contributed to research in topics: Composite laminates & Stiffness. The author has an hindex of 6, co-authored 8 publications receiving 391 citations.

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Optimization of variable stiffness composites with embedded defects induced by Automated Fiber Placement

TL;DR: In this paper, the authors investigate how the parameters governing the formation of defects impact the set of optimal solutions for a multi-objective optimization problem, where in-plane stiffness and buckling load are simultaneously maximized.
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Defect layer method to capture effect of gaps and overlaps in variable stiffness laminates made by Automated Fiber Placement

TL;DR: In this paper, a composite laminate with curvilinear fiber paths is designed to maximize simultaneously its in-plane stiffness and buckling load, and a defect layer is proposed to characterize the change in properties of each layer in the composite laminates that results from the occurrence of gaps and overlaps.
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Surrogate-based multi-objective optimization of a composite laminate with curvilinear fibers

TL;DR: In this paper, the problem of simultaneous optimization of stiffness and buckling load of a composite laminate plate with curvilinear fiber paths is formulated and solved through a surrogate-based optimization algorithm capable of finding the set of optimum Pareto solutions.
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A comparative study of metamodeling methods for the design optimization of variable stiffness composites

TL;DR: In this paper, a set of metamodeling techniques for the design optimization of composite laminates with variable stiffness is examined. And the results show that the most accurate and robust models in exploring the design space are Kriging and Radial Basis Functions.
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Curvilinear variable stiffness 3D printing technology for improved open-hole tensile strength

TL;DR: In this article, the Curvilinear Variable Stiffness (CVS) 3D printing technology was used to improve the tensile strength and failure strain of the manufactured specimens per ASTM D5766.