Worcester Polytechnic Institute Electronic Theses and Dissertations Collection

Title page for ETD etd-041812-134324


Document Typethesis
Author NameMitchell, Ryan
URNetd-041812-134324
TitleA WANFIS Model for Use in System Identification and Structural Control of Civil Engineering Structures
DegreeMS
DepartmentCivil & Environmental Engineering
Advisors
  • Yeesock Kim, Advisor
  • Tahar El-Korchi, Department Head
  • Leonard Albano, Committee Member
  • Keywords
  • system identification
  • structural control
  • neural network
  • fuzzy logic
  • wavelet transform
  • earthquake
  • Date of Presentation/Defense2012-04-17
    Availability unrestricted

    Abstract

    With the increased deterioration of infrastructure in this country, it has become important to find ways to maintain the strength and integrity of a structure over its design life. Being able to control the amount a structure displaces or vibrates during a seismic event, as well as being able to model this nonlinear behavior, provides a new challenge for structural engineers. This research proposes a wavelet-based adaptive neuro- fuzzy inference system for use in system identification and structural control of civil engineering structures. This algorithm combines aspects of fuzzy logic theory, neural networks, and wavelet transforms to create a new system that effectively reduces the number of sensors needed in a structure to capture its seismic response and the amount of computation time needed to model its nonlinear behavior. The algorithm has been tested for structural control using a three-story building equipped with a magnetorheological damper for system identification, an eight-story building, and a benchmark highway bridge. Each of these examples has been tested using a variety of earthquakes, including the El-Centro, Kobe, Hachinohe, Northridge, and other seismic events.

    Files
  • RMitchell1.pdf
  • RMitchell2.pdf

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