Zhang, Z. orcid.org/0000-0001-9191-3451, Li, G.-Y. orcid.org/0000-0002-5939-9293, Jiang, Y. orcid.org/0000-0001-7660-8029 et al. (4 more authors) (2023) Noninvasive measurement of local stress inside soft materials with programmed shear waves. Science Advances, 9 (10). eadd4082. ISSN 2375-2548
Abstract
Mechanical stresses across different length scales play a fundamental role in understanding biological systems’ functions and engineering soft machines and devices. However, it is challenging to noninvasively probe local mechanical stresses in situ, particularly when the mechanical properties are unknown. We propose an acoustoelastic imaging–based method to infer the local stresses in soft materials by measuring the speeds of shear waves induced by custom-programmed acoustic radiation force. Using an ultrasound transducer to excite and track the shear waves remotely, we demonstrate the application of the method by imaging uniaxial and bending stresses in an isotropic hydrogel and the passive uniaxial stress in a skeletal muscle. These measurements were all done without the knowledge of the constitutive parameters of the materials. The experiments indicate that our method will find broad applications, ranging from health monitoring of soft structures and machines to diagnosing diseases that alter stresses in soft tissues.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
Keywords: | Phantoms, Imaging; Stress, Mechanical; Muscle, Skeletal; Engineering |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Apr 2023 13:31 |
Last Modified: | 24 Apr 2023 13:31 |
Published Version: | http://dx.doi.org/10.1126/sciadv.add4082 |
Status: | Published |
Publisher: | American Association for the Advancement of Science (AAAS) |
Refereed: | Yes |
Identification Number: | 10.1126/sciadv.add4082 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:198381 |