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Quantitative evaluation of hypervelocity debris cloud-induced pitting damage using nonlinear ultrasonic waves

Authors: Wuxiong Cao (The Hong Kong Polytechnic University) , Kai Wang (The Hong Kong Polytechnic University) , Zhongqing Su (The Hong Kong Polytechnic University) , Wuxiong Cao (The Hong Kong Polytechnic University) , Kai Wang (The Hong Kong Polytechnic University) , Zhongqing Su (The Hong Kong Polytechnic University)

  • Quantitative evaluation of hypervelocity debris cloud-induced pitting damage using nonlinear ultrasonic waves

    None

    Quantitative evaluation of hypervelocity debris cloud-induced pitting damage using nonlinear ultrasonic waves

    Authors: , , , , ,

Abstract

In a typical Whipple shield for protecting spacecraft from hypervelocity impact (HVI), the debris cloud, formed by the shattered material of the outer bumper layer, can commit multitudinous, disorderedly scattered pitting craters and cracks over a wide region in the rear wall layer. Pervasive but insidious, pitting damage typically features hundreds of small craters and cracks disorderedly clustered over a wide region, accompanying diverse microstructural damages. The pitting damage induces highly complex, mutually-interfering wave scattering in a linear regime, and triggers acoustic nonlinearity. In the pitted region the material plasticity and nonlinearity are remarkably intensified, and the contact acoustic nonlinearity (CAN) is introduced upon interaction between probing guided ultrasonic waves (GUWs) and pitting damage. Targeting at quantitatively evaluating the pitting damage, insight into the generation of high-order modes by pitting damage is achieved from the perspective of nonlinear GUW features. The theoretical analysis is validated via numerical simulations. On this basis, an in-situ structural health monitoring (SHM) framework using PZT wafer network is developed, with which, in conjunction with the use of a sensing path-based rapid imaging algorithm, the pitting damage in the shield can be monitored and characterized quantitatively and precisely.

How to Cite:

Cao, W. ., Wang, K. ., Su , Z. ., Cao, W. ., Wang, K. . & Su , Z. ., (2019) “Quantitative evaluation of hypervelocity debris cloud-induced pitting damage using nonlinear ultrasonic waves”, Review of Progress in Quantitative Nondestructive Evaluation .

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Published on
04 Dec 2019
Peer Reviewed
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