Published 2019 | Version v1
Journal article

Image sharpening of linearized inverse scattering method for concrete voids

  • 1. Nippon P.S Co., Ltd., Tsuruga, Fukui (Japan)
  • 2. University of Fukui, Graduate School of Engineering, Fukui (Japan)

Description

Linearized Inverse Scattering Methods based on Kirchhoff approximation can be applicable to visualize flaw shapes with scattering waves from the flaw. Scattering waves from the flaws are measured by pseudo UT pulse-echo mode that two probes are operated simultaneously. In order to visualize the flaws inside the concrete, Parasitic Discrete Wavelet Transform (P-DWT) is applied to extract the frequency characteristic components in the scattered waves. The basis waveform of real-signal mother wavelet (RMW) is acquired by Finite Element Method (FEM) analysis. Scattered waves are filtered by P-DWT; then, they are processed with Kirchhoff Inverse Scattering Method. The imaging process includes to select the optimum Mother Wavelet with AIC and a suitable decomposition level in the wavelet analysis. It is possible to make it highly accurate to visualize the flaws by P-DWT with RMW created from FEM analysis. (author)

Availability note (English)

Available from DOI: https://doi.org/10.2208/jscejam.75.23

Abstract (Japanese)

欠陥からの散乱波が有する欠陥形状情報を活用し欠陥形状を再構成する有効手法の一つとして,線形化逆散乱解析が挙げられる.本研究では,この手法のコンクリート試験体への適用において,特徴周波数の抽出に有効な寄生的離散ウェーブレット変換を適用し,骨材や空隙などの散乱ノイズが含まれる波形データから欠陥からの散乱波の特徴を有する周波数帯を抽出することで欠陥像の鮮明化を図る.超音波探傷実験により得られた波形データに対して,有限要素法を用いて解析的に求めた波形より作成した実信号マザーウェーブレットに対応する寄生フィルタを寄生的離散ウェーブレット変換に用いることで特徴周波数を抽出し,Kirchhoff逆散乱解析による空洞欠陥の鮮明な画像化を可能とした.(著者)

Additional details

Additional titles

Original title (Japanese)
コンクリート内在欠陥を対象とする線形化逆散乱解析の再構成像高精度化

Identifiers

Publishing Information

Journal Title
Doboku Gakkai Ronbunshu A2. Oyo Rikigaku (Online)
Journal Volume
75
Journal Issue
1
Series
雑誌名:土木学会論文集A2(応用力学)
Journal Page Range
p. 23-36
ISSN
2185-4661

Optional Information

Notes
26 refs., 23 figs., 2 tabs.