About the theoretical basis of using pseudo-velocity as shock severity metric

Pseudo velocity shock response spectrum has been increasingly adopted in engineering sectors to measure the severity of shock environment. The justification of using pseudo velocity as shock severity metric is frequently referred to the relationship between structure’s maximum modal stress and velocity, which is inadequate. This research note clarifies the above misunderstanding and provides the theoretical underpinning for the use of pseudo velocity as a shock severity metric based on the lower damage bound concept.

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Publication Details

Journal
Mechanical Systems and Signal Processing
Published
2025-07-04
DOI
https://doi.org/10.1016/j.ymssp.2025.113024
Citations
1
Primary Topic
Laser-Plasma Interactions and Diagnostics
Type
article
Field-Weighted Citation Impact
1.87
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article

About the theoretical basis of using pseudo-velocity as shock severity metric

Q.M. Li, Desen Hou
1 citations
Mechanical Systems and Signal Processing
Laser-Plasma Interactions and Diagnostics
1.87
article

About the theoretical basis of using pseudo-velocity as shock severity metric

Q.M. Li, Desen Hou
article en
1 citations

Abstract

Pseudo velocity shock response spectrum has been increasingly adopted in engineering sectors to measure the severity of shock environment. The justification of using pseudo velocity as shock severity metric is frequently referred to the relationship between structure’s maximum modal stress and velocity, which is inadequate. This research note clarifies the above misunderstanding and provides the theoretical underpinning for the use of pseudo velocity as a shock severity metric based on the lower damage bound concept.

Mechanical Systems and Signal ProcessingVol. 236
Beijing Institute of Technology (CN), University of Manchester (GB)
Openalex Percentile: Top 13%
Laser-Plasma Interactions and Diagnostics
1.87
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About the theoretical basis of using pseudo-velocity as shock severity metric — Q.M. Li, Desen Hou · Mechanical Systems and Signal Processing (2025) | TGRS Research Map | TGRS