Research Seminar: Design Optimization and Parametrization of Protective Targets Based on Failure Modes Under Projectile Normal Impact

Event Date:
August 10, 2023
Time:
1-2 p.m.
Location:
ARMS 1103 or Webex
Priority:
No
School or Program:
Aeronautics and Astronautics
College Calendar:
Show
Zherui Martinez-Guo presents his research on obtaining scalable dimensionless parameters to optimize the construction of a target system for protection against ballistic perforation.

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ABSTRACT

In order to achieve a quantitative ballistic performance for a protective armor system, armor panels are typically impacted, and the shot outcomes subsequently evaluated. The methodology of determining predictive performance parameters is still largely empirical, and usually evaluated with respect to a particular projectile. While several models have been proposed to provide an efficient method of predicting ballistic limit determination, results are sometimes difficult to translate across different projectile-target pairs or target constructions. By determining the dominant failure modes involved during the ballistic impact of the target, it is possible to obtain scalable dimensionless parameters to optimize the construction of a target system for protection against ballistic perforation from a particular projectile. The analysis of these dominant failure modes are further aided by the in-situ visualization of target systems under high-rate dynamic loading and ballistic impact using high energy synchrotron X-rays. This parametrization methodology has shown results for complex orthotropic monolithic targets, multi-layered soft armor targets, and multi-component systems.

BIOGRAPHY

Dr. Zherui Martinez-Guo graduated from Purdue University with a Ph.D. in Aeronautics and Astronautics Engineering focusing on the ballistic impact and performance optimization of soft armor systems. His multi-disciplinary research combines experimental efforts in impact dynamics, solid mechanics, composites science, and advanced materials characterization methods using synchrotron X-rays to develop design optimization and materials