Uncertainty Quantification of Stochastic Defects in Materials

Liu Chu (Nantong University, China)

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English

CRC Press
27 May 2024

Industrial chemistry; Chemical engineering; Materials science

Series: Emerging Materials and Technologies

Uncertainty Quantification of Stochastic Defects in Materials investigates the uncertainty quantification methods for stochastic defects in material microstructures. It provides effective supplementary approaches for conventional experimental observation with the consideration of stochastic factors and uncertainty propagation. Pursuing a comprehensive numerical analytical system, this book establishes a fundamental framework for this topic, while emphasizing the importance of stochastic and uncertainty quantification analysis and the significant influence of microstructure defects on the material macro properties.

Key Features

Consists of two parts: one exploring methods and theories and the other detailing related examples

Defines stochastic defects in materials and presents the uncertainty quantification for defect location, size, geometrical configuration, and instability

Introduces general Monte Carlo methods, polynomial chaos expansion, stochastic finite element methods, and machine learning methods

Provides a variety of examples to support the introduced methods and theories

Applicable to MATLAB® and ANSYS software

This book is intended for advanced students interested in material defect quantification methods and material reliability assessment, researchers investigating artificial material microstructure optimization, and engineers working on defect influence analysis and nondestructive defect testing.

By: Liu Chu (Nantong University China)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
ISBN: 9781032128757
ISBN 10: 1032128755
Series: Emerging Materials and Technologies
Pages: 196
Publication Date: 27 May 2024
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Forthcoming

Dr. Liu Chu received her B.E. degree in Materials Science and Engineering, and M.E. degree in Mechanics from Dalian Maritime University, China, and the Ph.D. in Mechanics from the Institut national des sciences appliquées de Rouen (INSA Rouen), France. Dr. Chu focuses on research in computational material mechanics and structural reliability. Her recent research interests include low-dimensional nanomaterial vacancy defects quantification, artificial material microstructure optimization, and mechanical structure reliability analysis. Since 2018, Dr. Chu has published 18 peer-reviewed science and technical papers in international journals and conferences. She is a member of IEEE and has served as a reviewer of several international journals.