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Advanced Structural Safety Studies: With Extreme Conditions and Accidents: Topics in Safety, Risk, Reliability and Quality, cartea 37

Autor Jeom Kee Paik
en Limba Engleză Hardback – 14 aug 2019
This book describes principles, industry practices and evolutionary methodologies for advanced safety studies, which are helpful in effectively managing volatile, uncertain, complex, and ambiguous (VUCA) environments within the framework of quantitative risk assessment and management and associated with the safety and resilience of structures and infrastructures with tolerance against various types of extreme conditions and accidents such as fires, explosions, collisions and grounding. It presents advanced computational models for characterizing structural actions and their effects in extreme and accidental conditions, which are highly nonlinear and non-Gaussian in association with multiple physical processes, multiple scales, and multiple criteria. Probabilistic scenario selection practices and applications are presented. Engineering practices for structural crashworthiness analysis in extreme conditions and accidents are described. Multidisciplinary approaches involving advanced computational models and large-scale physical model testing are emphasized. The book will be useful to students at a post-graduate level as well as researchers and practicing engineers.
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Specificații

ISBN-13: 9789811382444
ISBN-10: 9811382441
Pagini: 638
Ilustrații: XXVI, 664 p. 561 illus., 477 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.14 kg
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Seria Topics in Safety, Risk, Reliability and Quality

Locul publicării:Singapore, Singapore

Cuprins

Table of Contents.- Preface.- About the Author.- Computer Programs Used.- Abbreviations.- 1. Principles of Structural Safety Studies.- 2. Probabilistic Selection of Event Scenarios.- 3. Limit State-Based Safety Studies.- 4. Risk-Based Safety Studies.- 5. Safety Assessment of Damaged Structures.- 6. Computational Models for Ship Structural Load Analysis in Ocean Waves.- 7. Computational Models for Offshore Structural Load Analysis in Collisions.- 8. Computational Models for Gas Cloud Temperature Analysis in Fires.- 9. Computational Models for Blast Pressure Load Analysis in Explosions.- 10. Computational Models for Nonlinear Structural Response Analysis in Extreme Loads.- 11. Computational Models for Structural Crashworthiness Analysis in Collisions and Grounding.- 12. Computational Models for Structural Crashworthiness Analysis in Fires.- 13. Computational Models for Structural Crashworthiness Analysis in Explosions.- 14. Quantitative Collision Risk Assessment and Management.-15. Quantitative Grounding Risk Assessment and Management.- 16. Quantitative Fire Risk Assessment and Management.- 17. Quantitative Explosion Risk Assessment and Management.- 18. Facilities for Physical Model Testing.- Appendices.- A.1 Latin Hypercube Sampling Program.- A.2 Passive Fire Protection Materials.- A.3 SI Units.- A.3.1 SI Unit Prefixes.- A.3.2 Conversion Factors.- Index.

Notă biografică

Dr. Jeom Kee Paik is Distinguished Professor of Marine Technology in the Department of Mechanical Engineering at University College London in the U.K. and Professor of Safety Design and Engineering in the Department of Naval Architecture and Ocean Engineering at Pusan National University in South Korea. He is an honorary professor at University of Strathclyde, Glasgow, U.K., at University of Aberdeen, Aberdeen, U.K., and at Southern University of Science and Technology, Shenzhen, China. He serves as Director of the Korea Ship and Offshore Research Institute (International Centre for Advanced Safety Studies) which has been a Lloyd’s Register Foundation Research Centre of Excellence since 2008. He is Founder and Editor-in-Chief of Ships and Offshore Structures. Among other recognitions, Prof. Paik received both the William Froude Medal from the U.K. Royal Institution of Naval Architects (RINA, 2015) and the David W. Taylor Medal from the U.S. Society of Naval Architectsand Marine Engineers (SNAME, 2013), the two most prestigious medals in the global maritime community, in recognition of his contributions to naval architecture and ocean engineering. He was conferred the Doctor Honoris Causa by the University of Liège in Belgium (2012) in recognition of his contributions to international science, engineering, and technology. Prof. Paik is a Chartered Engineer of the Engineering Council in the U.K. He is a Fellow and Publications Committee Member of RINA. He is a Life Fellow, Fellows Committee Member, Awards Committee Member, and Vice President of SNAME.

Textul de pe ultima copertă

This book describes principles, industry practices and evolutionary methodologies for advanced safety studies, which are helpful in effectively managing volatile, uncertain, complex, and ambiguous (VUCA) environments within the framework of quantitative risk assessment and management and associated with the safety and resilience of structures and infrastructures with tolerance against various types of extreme conditions and accidents such as fires, explosions, collisions and grounding. It presents advanced computational models for characterizing structural actions and their effects in extreme and accidental conditions, which are highly nonlinear and non-Gaussian in association with multiple physical processes, multiple scales, and multiple criteria. Probabilistic scenario selection practices and applications are presented. Engineering practices for structural crashworthiness analysis in extreme conditions and accidents are described. Multidisciplinary approaches involvingadvanced computational models and large-scale physical model testing are emphasized. The book will be useful to students at a post-graduate level as well as researchers and practicing engineers.

Caracteristici

Describes principles, industry practices and evolutionary methodologies for advanced safety studies Presents advanced computational models for characterizing structural actions and their effects in extreme and accidental conditions Shows probabilistic scenario selection practices and applications