Citation:
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.
xmlui.dri2xhtml.METS-1.0.item-contributor-funder:
Ministerio de Economía y Competitividad (España)
Sponsor:
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).
Project:
Gobierno de España. DPI2017-88166-R
Keywords:
Edo helmet
,
Blast
,
Simulation
,
Ls-dyna
,
Human head
,
Brain injuries
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 loBrain 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.[+][-]