Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 180,91
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 220,95
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 213,43
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EUR 255,37
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 247,85
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 242,12
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Da: Revaluation Books, Exeter, Regno Unito
EUR 320,70
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Aggiungi al carrelloHardcover. Condizione: Brand New. 510 pages. 9.18x6.12x9.21 inches. In Stock.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032497556 ISBN 13: 9781032497556
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. Fatigue failure of engineering materials and structures has long been a great challenge for structural integrity, reliability and safety in mechanical, civil and aerospace engineering. These failure mechanisms and their modeling are critical concerns for managing aging structures, and directly affect sustainability across society.In this context, the fundamental theories and methods of fatigue failure of engineering materials and structures are discussed in detail. Fatigue damage accumulation, crack initiation and crack growth analysis are presented from materials to structures, deterministic to probabilistic fatigue, physics to data science, uniaxial to multiaxial fatigue, and extremely low cycle fatigue to very high cycle fatigue. The focus is on mechanical understanding and risk management for design, maintenance, and operation.Some recent advancements include fatigue of additive manufactured (AM) metals and advanced materials, which could potentially transform fatigue analysis and offer new perspectives on fatigue failure mechanisms and reliability design. Both experimental supporting evidence and simulation benefits are demonstrated. It integrates recent developments in artificial intelligence with fatigue in AM metals and advanced materials. It provides case studies, and future research challenges for the fusion of fatigue physics modeling with data analytics, for graduate students and advanced practitioners. Key theories and methods of fatigue failure are discussed with fatigue damage accumulation, crack initiation and crack growth analysis. The focus is on mechanical understanding and risk management for design, maintenance, and operation, plus fatigue of additive manufactured metals and advanced materials, with data analytics and AI. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032497556 ISBN 13: 9781032497556
Da: CitiRetail, Stevenage, Regno Unito
EUR 180,92
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Fatigue failure of engineering materials and structures has long been a great challenge for structural integrity, reliability and safety in mechanical, civil and aerospace engineering. These failure mechanisms and their modeling are critical concerns for managing aging structures, and directly affect sustainability across society.In this context, the fundamental theories and methods of fatigue failure of engineering materials and structures are discussed in detail. Fatigue damage accumulation, crack initiation and crack growth analysis are presented from materials to structures, deterministic to probabilistic fatigue, physics to data science, uniaxial to multiaxial fatigue, and extremely low cycle fatigue to very high cycle fatigue. The focus is on mechanical understanding and risk management for design, maintenance, and operation.Some recent advancements include fatigue of additive manufactured (AM) metals and advanced materials, which could potentially transform fatigue analysis and offer new perspectives on fatigue failure mechanisms and reliability design. Both experimental supporting evidence and simulation benefits are demonstrated. It integrates recent developments in artificial intelligence with fatigue in AM metals and advanced materials. It provides case studies, and future research challenges for the fusion of fatigue physics modeling with data analytics, for graduate students and advanced practitioners. Key theories and methods of fatigue failure are discussed with fatigue damage accumulation, crack initiation and crack growth analysis. The focus is on mechanical understanding and risk management for design, maintenance, and operation, plus fatigue of additive manufactured metals and advanced materials, with data analytics and AI. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 237,21
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Da: moluna, Greven, Germania
EUR 279,85
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Qingyuan Wang is a Professor and the President of Chengdu University, China and a Professor at Sichuan University, China as well as a fellow of the International Association of Advanced Materials.Shun-Peng Zhu is Professor at University of Electro.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032497556 ISBN 13: 9781032497556
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 354,76
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Fatigue failure of engineering materials and structures has long been a great challenge for structural integrity, reliability and safety in mechanical, civil and aerospace engineering. These failure mechanisms and their modeling are critical concerns for managing aging structures, and directly affect sustainability across society.In this context, the fundamental theories and methods of fatigue failure of engineering materials and structures are discussed in detail. Fatigue damage accumulation, crack initiation and crack growth analysis are presented from materials to structures, deterministic to probabilistic fatigue, physics to data science, uniaxial to multiaxial fatigue, and extremely low cycle fatigue to very high cycle fatigue. The focus is on mechanical understanding and risk management for design, maintenance, and operation.Some recent advancements include fatigue of additive manufactured (AM) metals and advanced materials, which could potentially transform fatigue analysis and offer new perspectives on fatigue failure mechanisms and reliability design. Both experimental supporting evidence and simulation benefits are demonstrated. It integrates recent developments in artificial intelligence with fatigue in AM metals and advanced materials. It provides case studies, and future research challenges for the fusion of fatigue physics modeling with data analytics, for graduate students and advanced practitioners. Key theories and methods of fatigue failure are discussed with fatigue damage accumulation, crack initiation and crack growth analysis. The focus is on mechanical understanding and risk management for design, maintenance, and operation, plus fatigue of additive manufactured metals and advanced materials, with data analytics and AI. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 357,10
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Key theories and methods of fatigue failure are discussed with fatigue damage accumulation, crack initiation and crack growth analysis. The focus is on mechanical understanding and risk management for design, maintenance, and operation, plus fatigue of additive manufactured metals and advanced materials, with data analytics and AI.