Introduces probability, statistics, and reliability concepts for a solid foundation in uncertainty quantification
Reviews classical methods of uncertainty quantification for historical context
Explores analytical reliability analysis to enhance design robustness
Covers state-of-the-art approaches such as reliability-based and robust design optimization
Updated with the latest edition for current industry standards
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Format: Hardback Length: 274 pages Publication date: 23 December 2023 Publisher: Springer International Publishing AG
This book introduces the fundamentals of probability, statistical, and reliability concepts, the classical methods of uncertainty quantification and analytical reliability analysis, and the state-of-the-art approaches of desig