Model Validation and Uncertainty Quantification in Biomechanics
From Soft Biological Tissue to Blood Flow
- 1st Edition - October 16, 2026
- Latest edition
- Editors: Gerhard A. Holzapfel, Malte Rolf, Xiao Yun Xu
- Language: English
Model Validation and Uncertainty Quantification in Biomechanics: From Soft Biological Tissue to Blood Flow provides a comprehensive overview of the latest technology in biomec… Read more
Description
Description
Part 3 introduces current and innovative approaches for quantifying uncertainties inherent in biomechanical modeling. Chapters range from established methodologies to emerging techniques, providing a comprehensive overview of the various strategies employed in addressing uncertainty in biomechanical studies. Finally, in Part 4, the book concludes with a focus on cutting-edge methods, specifically spotlighting the utilization of machine learning and surrogate modeling for both model validation and uncertainty quantification. Through real-world applications and case studies, this book provides an in-depth understanding of how these advanced techniques are reshaping the landscape of biomechanics research.
Key features
Key features
- Provides an overview of the basics of uncertainty quantification, sensitivity analysis, machine learning, and surrogate modeling
- Focuses on the underlying biomechanics and computational modeling of the cardiovascular system
- Introduces current and novel methods for quantifying uncertainties in various biomechanical applications
Readership
Readership
Table of contents
Table of contents
Part 1. Basics and fundamentals
1. Model validation in biomechanics: terminology and regulatory guidelines for in silico medicine
2. Machine learning in continuum biomechanics: techniques, applications, and future directions
3. Physics-informed neural operators for biomechanics: advancing computational modeling with separable architectures
Part 2. Validation in cardiovascular modeling
4. Verification and validation of growth and remodeling models: Application to thoracic aortic aneurysms
5. Model validation of stent-graft deployment and migration simulations in large arteries
6. Validation and uncertainty quantification of patient-specific TAVI simulations within the ASME V&V40 credibility framework
7. Validation of computational fluid dynamics simulations in arteries
8. Uncertainty quantification analysis in artificial intelligence-based prediction of myocardial ischemia
9. Generation and validation of virtual patient cohorts for in silico clinical trials: achievements from the SIMCor project
Part 3. Validation beyond the heart
10. Computational continuum models in soft tissue biomechanics: The way from verification to uncertainty quantification
11. Validation of computational brain models
12. Validating the predictions of mathematical models describing tumor growth and treatment response
Product details
Product details
- Edition: 1
- Latest edition
- Published: October 16, 2026
- Language: English
About the editors
About the editors
GH
Gerhard A. Holzapfel
MR
Malte Rolf
Malte Rolf is a postdoctoral researcher at the Institute of Biomechanics at Graz University of Technology, in Austria. His research focuses primarily on material and computational modeling of aortic dissections, ranging from multi-scale material modeling to patient-specific fluid-structure interaction modeling. In addition to his primary research focus, M. Rolf-Pissarczyk actively participates in studies on standardized best practices for the application of in silicovalidation methods and the credibility assessment of in silico methods based on ASME verification and validation standards.
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