Structural Reliability Analysis: Analytical Methods

Author:   Shun-Peng Zhu ,  Behrooz Keshtegar
Publisher:   Springer International Publishing AG
Edition:   2025 ed.
Volume:   31
ISBN:  

9783031751967


Pages:   342
Publication Date:   01 February 2025
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Structural Reliability Analysis: Analytical Methods


Overview

This book delves into structural reliability analysis across seven comprehensive chapters. Beginning with foundational methods and key definitions, it transitions into FORM-based formulations, such as the HL-RF method and its variants, with a focus on convergence control and stability enhancement. The subsequent chapters cover gradient methods and directional conjugate gradient formulations, addressing challenges like instability control and search direction vector adjustments. A novel optimization model for Most Probable Point (MPP) search in the original space for interval-based random variables is introduced, offering a cutting-edge approach to uncertainty optimization. The book concludes with second-order reliability analysis methods and forward-looking discussions on emerging analytical perspectives in the field.

Full Product Details

Author:   Shun-Peng Zhu ,  Behrooz Keshtegar
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2025 ed.
Volume:   31
ISBN:  

9783031751967


ISBN 10:   3031751965
Pages:   342
Publication Date:   01 February 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Author Information

Dr. Shun-Peng Zhu is a professor of Mechanical Engineering at the University of Electronic Science and Technology of China (UESTC). His research focuses on fatigue design, structural reliability analysis, probabilistic physics of failure, multi-physics damage modeling, and life prediction for engineering structures and materials. Dr. Behrooz Keshtegar is a faculty member in the Department of Civil Engineering at the University of Zabol. His research interests include structural reliability analysis, nonparametric regression, probabilistic analysis, and reliability-based design optimization. He also works on machine learning methods, mathematical modeling, and hybrid surrogate methods. His work emphasizes chaos control approaches, conjugate sensitivity methods, and harmony search techniques for reliability analysis.

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