Fiber Bundles: Statistical Models and Applications

✍ Scribed by James U. Gleaton; David Han; James D. Lynch; Hon Keung Tony Ng; Fabrizio Ruggeri

Publisher: Springer Nature
Year: 2023
Tongue: English
Leaves: 164
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book presents a critical overview of statistical fiber bundle models, including existing models and potential new ones. The authors focus on both the physical and statistical aspects of a specific load-sharing example: the breakdown for circuits of capacitors and related dielectrics. In addition, they investigate some areas of open research. This book is designed for graduate students and researchers in statistics, materials science, engineering, physics, and related fields, as well as practitioners and technicians in materials science and mechanical engineering.

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