Date

6-2017

Degree Name

BS in Architectural Engineering

Department

Architectural Engineering Department

Advisor(s)

Peter Laursen

Abstract

Stochastic Subspace Identification is a field of applied mathematics that takes collected experimental time-history data and gives out information about the system that produced the data. SSI is typically used in control analysis but here we apply the methods to the modal analysis of structures. This senior project didn’t involve theory - instead much of the work was in research behind how Subspace Identification works, implementing the algorithm in MATLAB, and applying the program to shake table data to validate the program. In other words, building the framework to make SSI a usable tool and practical learning experience for other undergraduate engineering students.

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