Fatigue Reliability
暫譯: 疲勞可靠度
Liu, Yongming
- 出版商: CRC
- 出版日期: 2026-11-17
- 售價: $8,830
- 貴賓價: 9.5 折 $8,388
- 語言: 英文
- 頁數: 426
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032396946
- ISBN-13: 9781032396941
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相關分類:
靜力學 Engineering-mechanics
尚未上市，無法訂購
相關主題
商品描述
Fatigue Reliability revolutionizes how we predict and prevent the invisible threats posed by fatigue failure--the silent, progressive weakening of materials under repeated stress that threatens everything from aircraft and bridges to wind turbines and medical devices. The book transforms fatigue reliability into a dynamic, adaptive science that evolves with real-world data.
Presenting a unified framework, this volume integrates classical fatigue theories with probabilistic methods, structural health monitoring, and AI/ML techniques. At its core is a closed-loop approach connecting physics-based modeling, real-time data collection, and intelligent decision-making algorithms. This system-level methodology addresses complex interactions among materials, loading conditions, and environmental uncertainties while tackling nonlinear and data-limited scenarios that challenge conventional approaches. What distinguishes this work is its transformation of fatigue reliability from static prediction to continuous adaptation. By bridging rigorous theoretical foundations with practical engineering tools, it enables reliability assessments that update dynamically as new information emerges from operating systems.
Designed for researchers, engineers, and graduate students, this book advances fatigue reliability from a static prediction problem to a dynamic, adaptive discipline.
商品描述(中文翻譯)
Fatigue Reliability 徹底革新了我們預測及預防疲勞破壞所造成無形威脅的方式。疲勞破壞是材料在反覆應力作用下，逐漸且不易察覺地弱化的現象，可能危及從飛機、橋梁，到風力發電機與醫療裝置等各類系統。本書將疲勞可靠度轉化為一門動態且具適應性的科學，使其能隨真實世界的資料持續演進。
本書提出一套統一的架構，整合傳統疲勞理論、機率方法、結構健康監測（structural health monitoring），以及 AI/ML 技術。其核心是閉迴路方法，將以物理為基礎的建模、即時資料收集與智慧決策演算法串聯起來。這套系統層級的方法能處理材料、載荷條件與環境不確定性之間的複雜交互作用，同時應對非線性與資料有限等情境，解決傳統方法所面臨的挑戰。本書最具特色之處，在於將疲勞可靠度從靜態預測轉變為持續適應的過程。透過連結嚴謹的理論基礎與實用的工程工具，本書能讓可靠度評估隨著運作系統產生新資訊而動態更新。
本書專為研究人員、工程師與研究所學生設計，將疲勞可靠度從靜態的預測問題，推進為動態且具適應性的專業領域。
作者簡介
Yongming Liu, Ph.D., is Professor of Mechanical and Aerospace Engineering at Arizona State University, USA. He is also a Founding Director of the Center for Complex System Safety, a state-supported multi-university initiative advancing safety science across materials, structures, and complex engineering systems. He received his Ph.D. in Civil Engineering from Vanderbilt University, focusing on stochastic multiaxial fatigue and fracture modeling. Dr. Liu's research lies at the intersection of fatigue and fracture mechanics, uncertainty quantification, and data-driven modeling, emphasizing unified frameworks that integrate physics-based approaches with probabilistic methods and artificial intelligence techniques. His work spans aerospace systems, civil infrastructure, energy systems, and air transportation safety, focusing on reliability, safety, and lifecycle performance under uncertainty. Dr. Liu is an ASME Fellow and Fellow of the Prognostics and Health Management Society. He has authored more than 200 journal publications and several book chapters, and his work continues to advance the integration of physics-based modeling and data-driven approaches for next-generation fatigue reliability and risk-informed engineering design.
作者簡介(中文翻譯)
Yongming Liu 博士是美國 Arizona State University 機械與航太工程學系教授，同時也是 Center for Complex System Safety 的創始主任之一。該中心是一項由州政府支持、跨多所大學合作的倡議，致力於推動材料、結構與複雜工程系統的安全科學發展。他於 Vanderbilt University 取得土木工程博士學位，研究重點為隨機多軸疲勞與破壞建模。
Liu 博士的研究橫跨疲勞與破壞力學、不確定性量化，以及資料驅動建模，著重於建立整合性架構，將基於物理的分析方法與機率方法及人工智慧技術相結合。他的研究涵蓋航太系統、土木基礎設施、能源系統與航空運輸安全，聚焦於不確定性條件下的可靠度、安全性與全生命週期效能。
Liu 博士是 ASME Fellow，也是 Prognostics and Health Management Society Fellow。他已發表超過 200 篇期刊論文及多篇書籍章節；其研究持續推動基於物理的建模與資料驅動方法之整合，以發展新世代的疲勞可靠度分析與風險導向工程設計。
