Document Type

Thesis

Degree

Master of Science (MS)

Department

Electrical Engineering

First Advisor's Name

Niki Pissinou

First Advisor's Committee Title

Committee Chair

Second Advisor's Name

Leonel E. Lagos

Third Advisor's Name

Jeffrey Fan

Fourth Advisor's Name

Jean H. Andrian

Keywords

Sensor Network, Structural Health Monitoring, Damage Detection

Date of Defense

4-16-2013

Abstract

The development cost of any civil infrastructure is very high; during its life span, the civil structure undergoes a lot of physical loads and environmental effects which damage the structure. Failing to identify this damage at an early stage may result in severe property loss and may become a potential threat to people and the environment. Thus, there is a need to develop effective damage detection techniques to ensure the safety and integrity of the structure. One of the Structural Health Monitoring methods to evaluate a structure is by using statistical analysis. In this study, a civil structure measuring 8 feet in length, 3 feet in diameter, embedded with thermocouple sensors at 4 different levels is analyzed under controlled and variable conditions. With the help of statistical analysis, possible damage to the structure was analyzed. The analysis could detect the structural defects at various levels of the structure.

Identifier

FI13042507

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