Buch, Englisch, 363 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 569 g
Buch, Englisch, 363 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 569 g
Reihe: Springer Series in Reliability Engineering
ISBN: 978-3-030-62507-8
Verlag: Springer International Publishing
This book provides structural reliability and design students with fundamental knowledge in structural reliability, as well as an overview of the latest developments in the field of reliability engineering. It addresses the mathematical formulation of analytical tools for structural reliability assessment.
This book offers an accessible introduction to structural reliability assessment and a solid foundation for problem-solving. It introduces the topic and background, before dealing with probability models for random variables. It then explores simulation techniques for single random variables, random vectors consisting of different variables, and stochastic processes. The book addresses analytical approaches for structural reliability assessment, including the reliability models for a single structure and those for multiple structures, as well as discussing the approaches for structural time-dependent reliability assessment in the presence of discrete and continuous load processes.
This book delivers a timely and pedagogical textbook, including over 170 worked-through examples, detailed solutions, and analytical tools, making it of interest to a wide range of graduate students, researchers, and practitioners in the field of reliability engineering.
Zielgruppe
Graduate
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Konstruktionslehre, Bauelemente, CAD
- Mathematik | Informatik Mathematik Stochastik Stochastische Prozesse
- Technische Wissenschaften Technik Allgemein Konstruktionslehre und -technik
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Statik, Dynamik, Kinetik, Kinematik
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
Weitere Infos & Material
Introduction.- Probability Models.- Monte Carlo Simulation.- Structural Reliability Assessment.- Time-Dependendent Reliability Assessment.