Calibration of hyperelastic constitutive models [electronic resource] : the role of boundary conditions, search algorithms, and experimental variability

• Ngôn ngữ: eng
• Ký hiệu phân loại: 630.28 Agriculture and related technologies
• Thông tin xuất bản: Washington, D.C. : Oak Ridge, Tenn. : United States. Dept. of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2020
• Mô tả vật lý: Size: p. 1935-1952 : , digital, PDF file.
• Bộ sưu tập: Metadata
• ID: 259893
• Chủ đề: 1. 60 applied life sciences; 2. Bayesian; 3. Constitutive modeling; 4. Hyperelastic; 5. Search algorithm; 6. Soft tissue; 7. Uncertainty

Tóm tắt

The calibration of hyperelastic constitutive models of soft tissue and tissue surrogates is often treated as an exercise in curve-fitting to the average experimental response, and many of the complicating factors such as experimental boundary conditions and data variability are ignored. Here, we focus on three questions that arise in this area: the ramifications of ignoring the experimental boundary conditions, the use of local optimizers, and the role of data variability. Using data from a uniaxial extension experiment on a tissue surrogate, we study how these three factors affect the calibration of isotropic hyperelastic constitutive models. Our results show that even with the simplest of constitutive models, it is necessary to look beyond a "good fit" to the average.