Hybrid Self-Centring Steel Frames

Hysteretic Behaviour and Structural Seismic Design
Erscheinungsjahr 2025
ISBN: 978-0-443-27467-1
Verlag: Elsevier Science

Buch, Englisch, 300 Seiten, Format (B × H): 152 mm x 229 mm

Hybrid Self-Centring Steel Frames: Hysteretic Behaviour and Structural Seismic Design provides readers with up-to-date information on hybrid steel frames equipped with self-centring energy dissipation bays (HSF-SCEDBs), an innovative seismic-resilient structural system. The book provides details on the conception and development of HSF-SCEDBs. It comprehensively discusses a series of experimental programmes investigating the hysteretic behaviour of novel materials and structural components that endow HSF-SCEDBs with self-centring and energy dissipation capabilities. Furthermore, the book reports detailed discussions on the dynamic behaviour of HSF-SCEDBs based on the results of numerical simulations. The book also reveals the seismic demand of HSF-SCEDBs from a spectral perspective using equivalent single-degree-of-freedom (SDOF) systems. Building upon these insights, it develops seismic design and evaluation frameworks to bridge the gap between academic research and practical implementation, positioning the book as a valuable resource for practitioners and academics in structural and seismic engineering. By integrating advanced technologies and methodologies aligned with current seismic design trends, the book aspires to advance the frontiers of knowledge in structural and seismic engineering.

Autoren/Hrsg.

Ke, Ke

Zhou, Xuhong

Zhang, Huanyang

Yam, Michael C H

Fachgebiete

• Technische Wissenschaften Bauingenieurwesen Baukonstruktion, Baufachmaterialien
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Bauindustrie, Baugewerbe

Inhaltsverzeichnis

1. Introduction
2. Connections for self-centring energy dissipation bays
3. Braces for self-centring energy dissipation bays
4. Inelastic structural seismic responses
5. Inelastic spectral seismic demands
6. Prediction models of inelastic seismic demands based on regression analysis
7. Prediction models of inelastic seismic demands based on machine-learning techniques
8. Performance-based design methodologies
9. Conclusions

Über Autor(innen)

Zhang, Huanyang
Huanyang Zhang is undertaking a PhD in the School of Civil Engineering at Chongqing University, China

Yam, Michael C H
Professor Yam is an expert in the field of structural engineering and currently serves as the Head of the Department of Building and Real Estate at the Hong Kong Polytechnic University and Deputy Director and Secretary General of Chinese National Engineering Research Centre for Steel Construction (CNERC) (Hong Kong Branch). He is a Registered Professional Engineer (Civil) in Hong Kong, Member of the Institution of Professional Engineers New Zealand, Fellow of the Hong Kong Institution of Engineers, Fellow of the Hong Kong Institute of Construction Managers, and Fellow of the American Society of Civil Engineers. Professor Yam's research interests are focused on steel connections, earthquake resilient steel structures, high strength steels, smart materials, and construction health and safety.

Zhou, Xuhong
Professor Xuhong Zhou is an expert in the field of structural engineering, mainly in the areas of basic theory and the application of steel and composite structures. He is a member of the Chinese Academy of Engineering, International Fellow of The Engineering Academy of Japan, and a Fellow of The Institution of Structural Engineers (UK). Professor Zhou currently serves as the Director of the Research Center of Steel Structures at Chongqing University in China.

Ke, Ke
Professor Ke has been engaged in fundamental research and teaching in the area of seismic resilience and seismic performance of steel structures for many years. His research is focused on seismic resilient steel structures, vibration control of industrial structures and wind turbine structures, as well as SMA-based self-centring structures