Adaptive Metamodels for Structural Reliability

From Analysis to Design Optimization
Erscheinungsjahr 2026
ISBN: 978-981-9241-25-5
Verlag: Springer

Buch, Englisch, 226 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Engineering Applications of Computational Methods

This book focuses on adaptive metamodel-based methods that dramatically reduce computational costs in structural reliability analysis and reliability-based design optimization (RBDO). The metamodel-based methods significantly reduces the computational burden of reliability analysis and design, and has therefore received widespread attention and application in the reliability community. As for structural reliability, metamodels are mainly used to construct low-cost approximations of performance functions to support subsequent analysis and design. The prerequisite for this method is that the original performance function is a computationally expensive black-box model. Therefore, by establishing high-precision and low-cost approximations, the computational cost can be effectively reduced. This book mainly introduces the basic principles of metamodel-based methods, and demonstrates the flexibility and efficiency of metamodel-based methods in reliability engineering, as well as their potential in practical applications. This book is aimed at graduate students, scholars, and reliability engineers interested in structural/mechanism reliability analysis and design optimization. MATLAB/Python pseudo-codes for key algorithms are available online.

Zielgruppe

Graduate

Autoren/Hrsg.

Ling, Chunyan

Fachgebiete

• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik

Inhaltsverzeichnis

Chapter 1 Introduction.- Chapter 2 Surrogate models for reliability analysis and design optimization.- Chapter 3 Adaptive surrogate model combined with advanced numerical simulation method for reliability analysis.- Chapter 4 Surrogate model based importance sampling for reliability analysis of systems with multiple failure modes.- Chapter 5 Adaptive surrogate model combined with advanced numerical simulation for time-dependent reliability analysis.- Chapter 6 Adaptive surrogate model based methods for reliability analysis under fuzzy uncertainty.- Chapter 7 Adaptive surrogate model methods for reliability analysis under hybrid random and interval uncertainties.- Chapter 8 Adaptive surrogate model assisted methods for reliability-based design optimization.

Über Autor(innen)

Dr. Chunyan Ling received her B.E. and Ph.D. degrees in Aerospace Science and Technology from Northwestern Polytechnical University, Xi’an, China, in 2016 and 2021, respectively. Dr. Ling conducted postdoctoral research at City University of Hong Kong from 2021 to 2024. Since Aug 2024, Dr. Ling has been in School of Mechatronic Engineering and Automation, Shanghai University as an Associate Professor.

Dr. Ling focuses on research in reliability analysis and design optimization, sensitivity analysis, and reliability operation and maintenance optimization of structures, mechanisms, and systems. Her recent research interests include: reliability modeling and preventive maintenance of humanoid robots under dependent and competing degradation and shock failures, reliability analysis and design optimization of key components of robots, etc. So far, Dr. Ling has published over 50 peer-reviewed papers in international journals and conferences, serving as a reviewer for multiple international reliability journals. Dr. Ling was also selected for the Shanghai Youth Excellent Talents (Overseas) Program in 2025.