Numerical Analysis of EOD Helmet under Blast Load Events Using Human Head Model

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Show simple item record Valverde Marcos, Borja Rubio Díaz, Ignacio Antona Makoshi, Jacobo Chawla, Anoop Loya Lorenzo, José Antonio Rodríguez Millán, Marcos 2021-03-02T09:54:19Z 2021-03-02T09:54:19Z 2020-11-02
dc.identifier.bibliographicCitation Valverde-Marcos, B., Rubio, I., Antona-Makoshi, J., Chawla, A., Loya, J. A., Rodríguez-Millán, M. (2020). Numerical Analysis of EOD Helmet under Blast Load Events Using Human Head Model. Applied Sciences, 10(22), 8227.
dc.identifier.issn 2076-3417
dc.description.abstract Brain injury resulting from improved explosives devices (IEDs) is identified as a challenge for force securities to improve protection equipment. This paper focuses on the mechanical response of explosive ordnance disposal (EOD) helmet under different blast loadings. Limited published studies on this type of helmet are available in the scientific literature. The results obtained show the blast performance of the EOD helmet because a decrease in the maximum values in the measured damage parameters is found. Therefore, an EOD helmet minimizes the risks of the severity of injuries on the user showing a low probability of injury.
dc.description.sponsorship The authors acknowledge the Ministry of Economy and Competitiveness of Spain and FEDER program under the Project DPI2017-88166-R for the financial support of the work, and Marcos Rodríguez-Millán thanks the Spanish Ministry of Education, Culture and Sports for the professor’s mobility program José Castillejo’s 2018 grant (CAS18/00292).
dc.format.extent 24
dc.language.iso eng
dc.publisher MDPI
dc.rights © 2020 by the authors.
dc.rights Atribución 3.0 España
dc.subject.other Edo helmet
dc.subject.other Blast
dc.subject.other Simulation
dc.subject.other Ls-dyna
dc.subject.other Human head
dc.subject.other Brain injuries
dc.title Numerical Analysis of EOD Helmet under Blast Load Events Using Human Head Model
dc.type article
dc.subject.eciencia Ingeniería Mecánica
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. DPI2017-88166-R
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationissue 22
dc.identifier.publicationlastpage 24
dc.identifier.publicationtitle Applied Sciences
dc.identifier.publicationvolume 10
dc.identifier.uxxi AR/0000026490
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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