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dc.contributor.authorSaunders, Robert
dc.contributor.authorMoser, Alex
dc.contributor.authorMatic, Peter
dc.date.accessioned2019-03-17T09:32:43Z
dc.date.available2019-03-17T09:32:43Z
dc.date.copyright1/18/2019 12:00:00 AM
dc.date.issued2019
dc.identifier.issn2572-7958
dc.identifier.otherjesmdt_002_02_021003.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4255538
dc.description.abstractAssessing combat helmet ballistic performance is a costly endeavor using either an experimental or a computational process. Experimental assessment requires many iterations and helmets to acquire a sufficient data set. To circumvent this, computational simulation is incorporated into the design process to supplement a few experiments. However, due to the complex constitutive response of the helmet (anisotropic elasticity, plasticity, damage initiation and evolution, and failure), it is computationally costly to run many ballistic impact simulations. The goal of this work is to develop a computer-aided design (cad) software to rapidly analyze combat helmets undergoing a ballistic impact. The software considers a representative mix of potential threats, helmet geometry modifications and additions, brain functional anatomy, and injury considerations. The resulting software demonstrates that a given helmet can be analyzed in a matter of minutes on a standard desktop computer and parametric studies can be completed in a matter of hours. The results of the cad software show how helmet design parameters such as helmet shell materials, geometry, and ceramic appliques all affect helmet ballistic performance.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleA Computationally Efficient Computer-Aided Design Strategy for Iterative Combat Helmet Design and Analysis
dc.typeJournal Paper
dc.journal.volume2
dc.journal.issue2
dc.journal.titleJournal of Engineering and Science in Medical Diagnostics and Therapy
dc.identifier.doi10.1115/1.4041975
dc.journal.fristpage21003
dc.journal.lastpage021003-13
dc.treeJournal of Engineering and Science in Medical Diagnostics and Therapy:;2019:;volume( 002 ):;issue: 002
dc.contenttypeFulltext


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