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Multi-axis Substructure Testing System for Hybrid Simulation

  • Book
  • © 2018

Overview

  • Introduces the multi-axis substructure testing (MAST) system, an advanced six-degrees-of-freedom (6-DOF) hybrid testing facility for large-scale structures
  • Describes the cyber-physical hybrid testing platform, which combines the best of both worlds: computational simulation and experimental techniques
  • Demonstrates the responses of physical specimens while they serve as part of the virtual computer model of the full structure subjected to
  • extreme dynamic forces
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)

Part of the book sub series: SpringerBriefs in Structural Mechanics (BRIEFSSTME)

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Table of contents (6 chapters)

Keywords

About this book

This book describes the multi-axis substructure testing (MAST) system, a simulator developed at Swinburne University of Technology, Australia, which provides state-of-the-art technology for large-scale hybrid testing of structures under realistic scenarios depicting extreme events. The book also demonstrates the responses of physical specimens while they serve as part of the virtual computer model of the full structure subjected to extreme dynamic forces.

Experimental studies using the MAST system are expected to enhance design and construction methods and significantly improve the repair and retrofitting of structures endangered by natural disasters and man-made hazards, providing a direct benefit to society by improving public safety and the re

silience of the built environment. An additional benefit is increased sustainability in the form of reduced direct and indirect economic losses and social and environmental impacts in the face of extreme events. This book will beof interest to researchers and advanced practitioners in the fields of structural earthquake engineering, geotechnical earthquake engineering, engineering seismology, and experimental dynamics, including seismic qualification.

 

Authors and Affiliations

  • Smart Structures Laboratory, Swinburne University of Technology, Melbourne, Australia

    Riadh Al-Mahaidi, M. Javad Hashemi, Robin Kalfat, Graeme Burnett, John Wilson

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