Uncover Hidden Physical Information of Soft Matter by Observing Large Deformation
Source abstract
Abstract
Abstract Accurate and non‐destructive detection of material abnormalities inside soft matter remains an elusive challenge due to its variable and heterogeneous nature, especially regarding non‐visual information. Here, a method is introduced that uncovers the physical information of internal material abnormalities from large deformations observed on the surface of the soft object. It finds the most probable values of imperceptible physical parameters by matching the nonlinear surface deformation between observation and finite element simulation through parallel Bayesian optimization, balancing the trade‐off between simulation accuracy and computational efficiency. Numerical and experimental tests, including simulated cases of aortic valve calcification, are conducted to showcase the effectiveness of our method, where we successfully recover hidden physical parameters including material stiffness, abnormality shape, and location. The method holds substantial promise for advancing the fields of material perception of robots, soft robotics, biology, and medical diagnostics, offering a powerful tool for the precise, efficient, and non‐invasive analysis of soft matter.
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Research context
OpenAlex topics: Photoacoustic and Ultrasonic Imaging · Optical measurement and interference techniques · Structural Health Monitoring Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Cardiology and Institute of Vascular Medicine Peking University Third Hospital Beijing 100191 China
Department of Advanced Manufacturing and Robotics Peking University Beijing 100871 China
State Key Laboratory of Vascular Homeostasis and Remodeling Peking University Beijing 100191 China
NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides Peking University Beijing 100191 China
Beijing Key Laboratory of Cardiovascular Receptors Research Beijing 100191 China
Department of Radiology Peking University Third Hospital Beijing 100191 China
Department of Mechanics and Engineering Science Peking University Beijing 100871 China
State Key Laboratory of Transvascular Implantation Devices The Second Affiliated Hospital Zhejiang University School of Medicine 88 Jiefang Rd Hangzhou 310009 China
Beijing Key Laboratory of Magnetic Resonance lmaging Devices and Technology Peking University Third Hospital Beijing 100191 China
Funding
National Natural Science Foundation of China · National Key Research and Development Program of China
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