Measuring Thickness of Building Floors using Ground Penetrating Radar (GPR)

碩士 === 明新科技大學 === 營建工程與管理研究所 === 96 === The Ground Penetrating Radar (GPR) is a new nondestructive method in the 21st Century. Comparing with other nondestructive methods, the GPR tomography images have higher dots per inch than those of others. It can also improve safety and quality of architectura...

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Bibliographic Details
Main Author: 黃世強
Other Authors: 林碧亮
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/40108553035469956168
Description
Summary:碩士 === 明新科技大學 === 營建工程與管理研究所 === 96 === The Ground Penetrating Radar (GPR) is a new nondestructive method in the 21st Century. Comparing with other nondestructive methods, the GPR tomography images have higher dots per inch than those of others. It can also improve safety and quality of architectural engineering, through portable equipment in a nondestructive manner to detect the depth of building floors. In this study, the GPR is used to detect the thickness of the concrete floor deck without destroying the structural integrity confirms the concrete thickness accurately. The research starts with identifying concrete floor with varying in thickness and creates a special tool named “Floor Thickness Meter” in the laboratory. Using the SIR-20 GPR system, the thickness detection survey shows good results. The standard deviation is 0.77mm in an average thickness of 15cm. The mean error is 0.56% and shows excellent precision. The GPR image generates electromagnetic wave reflecting the real dimensions. The analysis of surveying the section and 3D cubic chart of radar demonstrate with treated materials. To justify the real world application, an outdoor experiment is carried out to verify the validity of the measuring scheme. The fool deck of near by building under construction is measured. The equipment is adjusted and calibrated to cope with the adequate testing conditions. The final result shows 0.59mm in standard deviation. The average error is 0.58% that is similar with numerical assessment at the laboratory. Also the location and distribute of steel reinforcing bars can be clearly identified using 3-D images. The research results will facilitate the thickness detecting of building floors and replace the convention at destructive detection methods.