期刊
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
卷 112, 期 -, 页码 291-317出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jmps.2017.12.006
关键词
Dynamics; Viscoelastic material; Mechanical testing; Inertial cavitation; High strain rate
资金
- Office of Naval Research [N000141612872, N000141712058]
- NSF [CBET 1253157]
- Graduate Assistance in Areas of National Need (GAANN) fellowship from the Brown University Institute for Molecular and Nanoscale Innovation
- U.S. Department of Defense (DOD) [N000141612872, N000141712058] Funding Source: U.S. Department of Defense (DOD)
- Directorate For Engineering [1253157] Funding Source: National Science Foundation
- Div Of Chem, Bioeng, Env, & Transp Sys [1253157] Funding Source: National Science Foundation
Mechanical characterization of soft materials at high strain-rates is challenging due to their high compliance, slow wave speeds, and non-linear viscoelasticity. Yet, knowledge of their material behavior is paramount across a spectrum of biological and engineering applications from minimizing tissue damage in ultrasound and laser surgeries to diagnosing and mitigating impact injuries. To address this significant experimental hurdle and the need to accurately measure the viscoelastic properties of soft materials at high strain-rates (10(3)-0(8) s(-1)), we present a minimally invasive, local 3D microrheology technique based on inertial microcavitation. By combining high-speed time-lapse imaging with an appropriate theoretical cavitation framework, we demonstrate that this technique has the capability to accurately determine the general viscoelastic material properties of soft matter as compliant as a few kilopascals. Similar to commercial characterization algorithms, we provide the user with significant flexibility in evaluating several constitutive laws to determine the most appropriate physical model for the material under investigation. Given its straightforward implementation into most current microscopy setups, we anticipate that this technique can be easily adopted by anyone interested in characterizing soft material properties at high loading rates including hydrogels, tissues and various polymeric specimens. (C) 2017 Elsevier Ltd. All rights reserved.
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