Liu Chu

Uncertainty Quantification of Stochastic Defects in Materials (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Pursuing a comprehensive numerical analytical system, the 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 in the material macro properties.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 210
• Erscheinungstermin: 24. Dezember 2021
• Englisch
• ISBN-13: 9781000506099
• Artikelnr.: 63077858

Autorenporträt

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.

Inhaltsangabe

1. Overview. 2. Stochastic Defects. Part I: Methods and Theories. 3. Monte
Carlo Methods. 4. Polynomial Chaos Expansion. 5. Stochastic Finite Element
Method. 6. Machine Learning Methods. Part II: Examples. 7. Numerical
Examples. 8. Monte Carlo-based Finite Element Method. 9. Impacts of Vacancy
Defects in Resonant Vibration. 10. Uncertainty Quantification in
Nanomaterial. 11. Equivalent Young's Modulus Prediction. 12. Strengthen
Possibility by Random Vacancy Defects.