Toughening Mechanisms in Composite Materials

Author:   Qing-Hua Qin (Professor, Department of Engineering, Shenzhen MSU-BIT University; International University Park Road, Longgang, Shenzhen, Guangdong, China) ,  Jianqiao Ye (Professor and Chair, Mechanical Engineering, Lancaster University, UK)
Publisher:   Elsevier - Health Sciences Division
Edition:   2nd edition
ISBN:  

9780443154812


Pages:   510
Publication Date:   01 January 2024
Format:   Paperback
Availability:   Not yet available   Availability explained
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Toughening Mechanisms in Composite Materials


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Toughening Mechanisms in Composite Materials was first published in May 2015. The book provided comprehensive and technically detailed coverage of composites and their toughening mechanisms. Unique in its direct and comprehensive approach, the book presented fundamental knowledge on composites’ toughening mechanisms as well as comprehensive treatment of numerical methods.The field has however witnessed remarkable advances especially in the area of additive manufacturing, which has widened the range of advanced materials and the diversity of their applications.In this fully updated second edition, each chapter has been revised to take account of recent developments.A brand-new chapter has also been included on additive manufacturing of hierarchical composites and their corresponding characterization techniques. The book summarizes the current state-of-the-art and presents recent research outcomes. It details the development of each of the techniques, beginning with basic principles, and new concepts are illustrated with examples wherever possible.

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Author:   Qing-Hua Qin (Professor, Department of Engineering, Shenzhen MSU-BIT University; International University Park Road, Longgang, Shenzhen, Guangdong, China) ,  Jianqiao Ye (Professor and Chair, Mechanical Engineering, Lancaster University, UK)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Woodhead Publishing
Edition:   2nd edition
ISBN:  

9780443154812


ISBN 10:   0443154813
Pages:   510
Publication Date:   01 January 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Dr. Qinghua Qin received his Bachelor of Engineering degree (1982) in Mechanical Engineering from Chang An University, China and obtained his Master of Science degree (1984) and PhD (1990) in applied mechanics from Huazhong University of Science and Technology (HUST), China. He joined the faculty of the Department of Mechanics at HUST from 1984 until he left for the University of Stuttgart (Germany) with the DAAD/K.C. Wong research fellowship in 1994. From 1995 to 1997, he returned to China as a postdoctoral associate at Tsinghua University. He was awarded the Queen Elizabeth II Fellowship from the Australian Research Council (ARC) in 1997 and a Professorial Fellowship of ARC in 2002 at The University of Sydney, Australia and stayed there till December 2003. He has been a Professor at the Research School of Engineering of the Australian National University, Australia from 2004 to 2021. He is now working at the Department of Engineering, Shenzhen MSU-BIT University, China. He is also appointed a guest professor at HUST since 2000 and Tianjin University since 2006. Jianqiao Ye is Professor and Chair of Mechanical Engineering at Lancaster University, UK and a member of the Lancaster Intelligent, Robotic and Autonomous Systems Centre (LIRA). His research covers a broad range of both academic and industrial interests, including failure and damage of fibre reinforced composites, advanced steel-concrete composite structures, geopolymer, lighter and green cementitious materials, cement and concrete carbonation, offshore oil and gas structures and vibration energy harvesting. He has worked on testing, numerical modelling and optimization of a wider range of materials and structures, which has been extended to the applications of a range of analytical instruments such as X-Ct, SEM, XRD, EDS and data-driven techniques such as metamodelling, machine learning and digital twins.

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