Analysis of loading curve characteristics on the production of brain deformation metrics
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|Title:||Analysis of loading curve characteristics on the production of brain deformation metrics||Authors:||Post, Andrew
Walsh, Evan S.
Hoshizaki, Thomas Blaine
|Permanent link:||http://hdl.handle.net/10197/4682||Date:||13-Jun-2012||Abstract:||Traumatic and mild traumatic brain injuries are incurred as a result of the complex motions of the head after an impact. These motions can be quantified in terms of linear and rotational accelerations which cause the injurious levels of brain deformation. Currently, it is unclear what aspects of the linear and rotational acceleration loading curves influence injurious brain deformation. This research uses the University College Dublin Brain Trauma Model to analyse the loading curve shapes from a series of centric and non-centric impacts to a Hybrid III headform fitted with different hockey helmets. The results found that peak resultant linear acceleration did not always correlate with brain deformation measures. The results also indicated that, due to the complex nature of the interaction between loading curve characteristic and tissue parameters, there was no commonality in curve shape which produced large magnitudes of brain deformation. However, the discriminant function did show that angular acceleration loading curve characteristics would predict brain deformation more reliably than linear acceleration loading curves.||Type of material:||Journal Article||Publisher:||Sage Publications||Journal:||Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology||Volume:||226||Issue:||3-4||Start page:||200||End page:||207||Copyright (published version):||2012 Sage Publications||Keywords:||Finite element modelling; Traumatic brain injury; Reconstruction; Injury biomechanics; Concussion||DOI:||10.1177/1754337112449420||Language:||en||Status of Item:||Peer reviewed||metadata.dc.date.available:||2013-10-03T08:33:58Z|
|Appears in Collections:||Mechanical & Materials Engineering Research Collection|
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