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Development of Online Hybrid Testing: Theory and Applications to Structural Engineering provides comprehensive treatments of several topics pertinent to substructure online hybrid tests. Emphasis has been placed on explaining the three frameworks:
- the host-station framework,
- separated model framework and
- peer to peer framework
These have been developed within the Internet environment and are particularly suitable for distributed hybrid testing. In order to help readers to understand the essence of online hybrid testing and further to build up their own systems, an engineering practice has been introduced at the end of this book with the source code appended.
Development of Online Hybrid Testing: Theory and Applications to Structural Engineering is primarily written for readers with some background in structural dynamics, finite elements, and computer science. Material that has previously only appeared in journal articles has been consolidated and simplified which provides the reader with a perspective of the state-of-the-art.
- Presents basics and implementations of time integration algorithms for online hybrid tests, along with the applications for real engineering projects
- Includes current progress on the development of substructure online hybrid tests as a means of investigating the seismic behaviour of large-scale structures
- Provides source code for the example tests
Researchers, Graduates, PhD students and lecturers in the seismic performance of engineering structures as well as those studying finite elements, or computer science who wish to broaden their knowledge of the field.
- Chapter 1: Introduction
- 1.1 Background, Objective, and Challenge
- 1.2 Organization
- Chapter 2: Basics of the Online Hybrid Test
- 2.1 Introduction
- 2.2 Basic Concepts and Applications
- 2.3 Implementation and Major Components
- 2.4 Single DOF Structure with Explicit Scheme
- 2.5 Substructure Test with OS Scheme
- 2.6 Conclusions
- Chapter 3: Time Integration Algorithms for the Online Hybrid Test
- 3.1 Introduction
- 3.2 Principle of Time Integration Algorithms and Properties
- 3.3 Development of Time Integration Algorithms
- 3.4 Numerical Characteristics of Time Integration Algorithms
- 3.5 Analysis of Typical Time Integration Algorithms
- 3.6 Applications for an Online Hybrid Test
- 3.7 Conclusions
- Chapter 4: The Online Hybrid Test Using Mixed Control
- 4.1 Introduction
- 4.2 Presentation of the Online Test System
- 4.3 Displacement-Force Combined Control
- 4.4 Force-Displacement Switching Control
- 4.5 Conclusions
- Chapter 5: An Internet Online Hybrid Test Using Host-Station Framework
- 5.1 Introduction
- 5.2 Presentation of the Internet Online Test System
- 5.3 Accommodation with Implicit Finite Element Program
- 5.4 Internet Online Test of Base-isolated Structure
- 5.5 Conclusions
- Chapter 6: Internet Online Hybrid Test Using Separated-Model Framework
- 6.1 Introduction
- 6.2 Development of Separated-model Framework
- 6.3 Preliminary Investigations of Separated-model Framework
- 6.4 Distributed Online Hybrid Test on a Base-isolated Building
- 6.5 Conclusions
- Chapter 7: An Internet Online Hybrid Test Using Peer-to-Peer Framework
- 7.1 Introduction
- 7.2 Development of P2P Framework
- 7.3 Verification Test of Base-isolated Structure
- 7.4 Convergence Criteria on P2P Internet Online Hybrid Test System Involving Structural Nonlinearities
- 7.5 Numerical Characteristics of P2P Predictor-Corrector Procedure
- 7.6 Conclusions
- Chapter 8: Application of an Online Hybrid Test in Engineering Practice
- 8.1 Introduction
- 8.2 Application Example of a Conventional Online Hybrid Test
- 8.3 Application Example of P2P Internet Online Hybrid Test
- 8.4 Summary and Conclusions
- Chapter 9: Summary and Conclusions
- 9.1 Time Integration Algorithms
- 9.2 Online Hybrid Test Using Mixed Control
- 9.3 Internet Online Hybrid Test Using Host-Station Framework
- 9.4 Separated-Model Framework and Its Demonstration Examples
- 9.5 P2P Framework and Its Preliminary Demonstration Test
- 9.6 The Application of Online Hybrid Test in Engineering Practice
- Appendix A: List of Exiting Time Integration Algorithms
- Appendix B: Implementation of the OS Method
- No. of pages:
- © Butterworth-Heinemann 2015
- 14th September 2015
- eBook ISBN:
- Hardcover ISBN:
Associate professor and associate director of the Structural Lab, Department of Civil Engineering, Tsinghua University, Tsinghua, China
Dr. Wang obtained an MD from Norman Bethune University of Medical Sciences in China, a PhD in Toxicology from University of Louisiana, and is a Diplomat of the American Board of Toxicology. Dr. Wang’s professional experience includes clinical practice in oncology, research on gene regulation in an academic setting, and more than 20 years of professional practice as toxicologist in the pharmaceutical/biotech industry. She is currently the Executive Director of Translational & Development Sciences at Coherus BioSciences, where she oversees preclinical development (in vivo pharmacokinetics, pharmacology and toxicology of small molecules and biologics) of drug candidates from early through late stage development. Prior to joining Coherus, Dr. Wang worked at Novartis Pharmaceuticals and Achaogen, where she led safety assessment efforts for oncology and non-oncology drug development. Dr. Wang received multiple professional awards, recognizing her significant achievements and performance above and beyond work requirements (e.g. Novartis Above & Beyond, Due Diligence, Catalyst Awards, and Spot Awards). She was also acknowledged for outstanding collaboration and contributions on multidisciplinary teams (e.g., Novartis Team Award). Dr. Wang is an active member with Society of Toxicology (SOT), and has contributed to the society’s leadership team as a Councilor and by serving on numerous elected and appointed committees. She also served on the Board of Directors for the American Board of Toxicology (ABT) and is an advisor to the Education Committee at International Union of Toxicology (IUTOX). Dr. Wang is on the Editorial Boards of the International Journal of Toxicology and Toxicology Research and Application. Dr. Wang has taught a course on Practical Toxicology at the University of California at Berkeley as a guest lecturer.
M.D., PhD., D.A.B.T. - Executive Director, Translational & Development Sciences, Coherus BioSciences, Inc.
Professor at the Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan
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