Semester

Summer

Date of Graduation

2003

Document Type

Thesis

Degree Type

MS

College

Statler College of Engineering and Mineral Resources

Department

Civil and Environmental Engineering

Committee Chair

Roger H. L. Chen.

Abstract

Fiber Reinforced Polymer composites are relatively new to the bridge construction industry. One of the challenges to greater usage is the lack of a nondestructive method to accurately evaluate them. Nondestructive evaluation of FRP composite structures using Acoustic Emissions was conducted. Seven tension specimens and fifteen bending specimens from three different FRP manufacturers were tested. The hand-laid tension specimens produced at WVU were tested following ASTM D3039. The bending specimens were tested according to ASTM D790.;AE parameters were analyzed, and connections were found between them and the loading quarter of the specimens along with the damage zone of the specimens. By concentrating the AE parameters' patterns, Neural Networks were used to predict the loading quarter and damage zone of each specimen.;The connections between structural status and AE parameters found along with the NN prediction capabilities can be used to create a user-friendly, health monitoring system for on-site structures.

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