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Achieving Higher Fidelity Building Response through Emerging Technologies and Analytical Techniques

Citation

Massari, Anthony Thomas (2018) Achieving Higher Fidelity Building Response through Emerging Technologies and Analytical Techniques. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z9HH6H7N. http://resolver.caltech.edu/CaltechTHESIS:07262017-074416397

Abstract

The integration of sensor technology into the built environment has created an opportunity for a new approach to infrastructure development and management. Using collected data and principles of general physics, we discuss means and methods of using low cost dense instrumentation to perform damage detection, structural identification, and the benefits of cyber physical systems to community resilience. A nonlinear damping strategy for braced frame structures is introduced incorporating capped levels of damping forces. The study shows the effect of having control of damping forces in nonlinear analysis and the importance of limiting energy dissipation to rational levels. The issue of sliding mass is also studied to determine the contribution to energy loss and the effect to overall response. The results indicate a need to incorporate this effect in stiff structures with intentionally decoupled mass such as data centers. Finally, a discussion on dual system structures under plastic deformation in a post event deformed configuration is presented. A suggested displacement based method for design is suggested for implementation into future editions of the building code.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:Structural Health Monitoring, Damping, Shifting Mass, Nonlinear Analysis
Degree Grantor:California Institute of Technology
Division:Engineering and Applied Science
Major Option:Civil Engineering
Thesis Availability:Public (worldwide access)
Research Advisor(s):
  • Heaton, Thomas H.
Thesis Committee:
  • Hall, John F. (chair)
  • Asimaki, Domniki
  • Clayton, Robert W.
  • Kohler, Monica D.
  • Heaton, Thomas H.
Defense Date:14 July 2017
Record Number:CaltechTHESIS:07262017-074416397
Persistent URL:http://resolver.caltech.edu/CaltechTHESIS:07262017-074416397
DOI:10.7907/Z9HH6H7N
ORCID:
AuthorORCID
Massari, Anthony Thomas0000-0002-6561-4674
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:10352
Collection:CaltechTHESIS
Deposited By: Anthony Massari
Deposited On:24 Aug 2017 21:30
Last Modified:24 Aug 2017 21:30

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