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

Autor: Anoop Chawla, J.A. Loya, Borja Valverde-Marcos, Ignacio Rubio, Jacobo Antona-Makoshi, M. Rodríguez-Millán
Přispěvatelé: Ministerio de Economía y Competitividad (España)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Explosive material
Blast load
Computer science
0206 medical engineering
education
02 engineering and technology
blast
Brain injuries
lcsh:Technology
lcsh:Chemistry
0203 mechanical engineering
brain injuries
Ls-dyna
General Materials Science
Instrumentation
lcsh:QH301-705.5
Fluid Flow and Transfer Processes
Edo helmet
Ingeniería Mecánica
human head
Human head
business.industry
lcsh:T
Process Chemistry and Technology
Numerical analysis
General Engineering
technology
industry
and agriculture
Structural engineering
equipment and supplies
simulation
020601 biomedical engineering
Blast
lcsh:QC1-999
Computer Science Applications
020303 mechanical engineering & transports
lcsh:Biology (General)
lcsh:QD1-999
EDO helmet
lcsh:TA1-2040
LS-DYNA
business
ls-dyna
lcsh:Engineering (General). Civil engineering (General)
human activities
Simulation
lcsh:Physics
Zdroj: Applied Sciences, Vol 10, Iss 8227, p 8227 (2020)
Applied Sciences
Volume 10
Issue 22
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
ISSN: 2076-3417
2017-8816
Popis: 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. 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).
Databáze: OpenAIRE
Externí odkaz: