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2011, ISBN 1848212917, 360
The design of mechanical structures with predictable and improved durability cannot be achieved without a thorough understanding of the mechanisms of fatigue damage and more specifically... 
Mechanical properties | Fatigue | Microstructure | Materials
eBook
2012, 1. Aufl., ISBN 1119994330, 769
Written by global leaders and pioneers in the field, this book is a must-have read for researchers,  practicing engineers and university faculty working in... 
Structural health monitoring | Machine learning
eBook
2014, 2015, ISBN 9781461455882, 1577
This book offers a comprehensive reference, ideal for frequent consultation, on the topics of damage and healing mechanics including such materials as metals, composites, ceramics, polymers, bio... 
Engineering | Solid Mechanics | Classical Mechanics | Structural Materials | Theoretical and Applied Mechanics | Ceramics, Glass, Composites, Natural Materials | Nanotechnology
eBook
2005, ISBN 9783540215035, xxiii, 380
Engineering Damage Mechanics is deliberately oriented toward applications of Continuum Damage Mechanics to failures of mechanical and civil engineering components in ductile, creep, fatigue... 
Continuum damage mechanics | Civil engineering | Engineering | Characterization and Evaluation of Materials | Solid Mechanics | Classical Mechanics | Civil Engineering
Book
2014, Lecture Notes on Numerical Methods in Engineering and Sciences, ISBN 3319051938, 203
This book presents a complete analysis of the nonlinear behavior of a structure. It includes a detailed description of various constitutive models, dependent... 
eBook
International journal of damage mechanics, ISSN 1530-7921, 1992
Journal
2005, 1. Aufl., ISBN 0470869070, xix, 449
Damage prognosis is a natural extension of damage detection and structural health monitoring and is forming a growing part of many businesses... 
Materials—Deterioration | TECHNOLOGY & ENGINEERING / Civil / General | Structures | Structural analysis (Engineering) | Deterioration | Materials
Book
2009, 1. Aufl., ISBN 1402091818, xiv, 232
The book gives a unified probabilistic approach to evaluation of fatigue damage, including all steps to be followed, starting with fatigue testing planning, material characterization through lab... 
Fatigue | Mathematical models | Materials | Materials - Fatigue - Mathematical models | Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences | Materials Science | Materials Science, general | Solid Mechanics | Quality Control, Reliability, Safety and Risk | Mechanical Engineering | Chemistry and Materials Science
Book
2013, ISBN 9781118422984, 348
.... Advanced Structural Damage Detection: From Theory to Engineering Applications is written by academic experts in the field and provides students, engineers and other technical specialists with a comprehensive review of recent developments... 
Structural health monitoring | Structural failures | Materials | Testing | Structural stability
eBook
IEEE transactions on nuclear science, ISSN 1558-1578, 01/2017, Volume 64, Issue 1, pp. 141 - 148
Journal Article
Computer-aided civil and infrastructure engineering, ISSN 1093-9687, 05/2017, Volume 32, Issue 5, pp. 361 - 378
Journal Article
Computer-aided civil and infrastructure engineering, ISSN 1093-9687, 12/2017, Volume 32, Issue 12, pp. 1025 - 1046
Journal Article
Computer-aided civil and infrastructure engineering, ISSN 1093-9687, 09/2018, Volume 33, Issue 9, pp. 731 - 747
Computer vision‐based techniques were developed to overcome the limitations of visual inspection by trained human resources and to detect structural damage in images remotely, but most methods detect only specific... 
Engineering | Computer Science, Interdisciplinary Applications | Transportation Science & Technology | Technology | Construction & Building Technology | Engineering, Civil | Transportation | Computer Science | Science & Technology | Flaw detection | Computer vision | Fracture mechanics | Damage detection | Corrosion | Machine learning | Structural damage | Artificial neural networks | Structural steels | Pixels | Human resources | Image detection
Journal Article
Computer-aided civil and infrastructure engineering, ISSN 1093-9687, 09/2018, Volume 33, Issue 9, pp. 748 - 768
This article implements the state‐of‐the‐art deep learning technologies for a civil engineering application, namely recognition of structural damage from images... 
Engineering | Computer Science, Interdisciplinary Applications | Transportation Science & Technology | Technology | Construction & Building Technology | Engineering, Civil | Transportation | Computer Science | Science & Technology | Damage assessment | Images | Machine learning | Structural damage | Spalling | Feature extraction | Object recognition | Tuning
Journal Article