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journal article·2023-12-01Open access

Predictive model of back-wall overpressure behind a cantilever wall

Quanmin Xie, Xinzhe Nian, Hui Zhou, Jianyuan Wu

AIP Advances· Volume 13· Issue 12
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Source abstract

Abstract

To reduce the hazards posed by blast shock waves, important potential targets are usually shielded by cantilever walls. The main factor that indicates whether there is damage is the back-wall overpressure, and of concern here is predicting the back-wall overpressure behind a rigid cantilever wall. This was measured in full-scale blast experiments using 20 kg of trinitrotoluene (TNT) located on the ground, and the experimental data reveal how the cantilever wall mitigates the shock wave. A 3D numerical model was established to determine how the wall size influences the diffraction of the shock wave and the peaks and attenuation of the back-wall overpressure. Based on the numerical results and dimensional analysis, a model is proposed that provides an effective means of predicting the back-wall overpressure rapidly from the TNT equivalent, the standoff distance, and the height of the wall.
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Research context

OpenAlex topics: Structural Response to Dynamic Loads · High-Velocity Impact and Material Behavior · Combustion and Detonation Processes

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Precision Blasting, Jianghan University 1 , Wuhan 430056, China

Hubei Key Laboratory of Blasting Engineering, Jianghan University 2 , Wuhan 430056, China

Hubei (Wuhan) Institute of Explosion and Blasting Technology, Jianghan University 3 , Wuhan 430056, China

Huzhou Vocational and Technical College 4 , Huzhou 313002, China

Huzhou Key Laboratory of Green Building Technology 5 , Huzhou 313000, China

Funding

Key R&D Projects in Hubei Province · Innovative Group Project of Hubei Natural Science Foundation · 2022 Scientific Research Starting Foundation for Doctors of Hubei (Wuhan) Institute of Explosion and Blasting Technology · 2023 Wuhan Knowledge Innovation Special Basic Research Project · National Natural Science Foundation of China

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