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基于改进后向投影算法的地质雷达探测岩体裂隙的成像方法

李尧 李术才 刘斌 徐磊 张凤凯 聂利超

岩土工程学报2016,Vol.38Issue(8):1425-1433,9.
岩土工程学报2016,Vol.38Issue(8):1425-1433,9.DOI:10.11779/CJGE201608009

基于改进后向投影算法的地质雷达探测岩体裂隙的成像方法

Imaging method of ground penetrating radarforrock fracture detection based on improved back projection algorithm

李尧 1李术才 1刘斌 1徐磊 1张凤凯 1聂利超1

作者信息

  • 1. 山东大学岩土与结构工程研究中心,山东济南 250061
  • 折叠

摘要

Abstract

The groundpenetratingradar (GPR) can be used to identify and detect the rock fractures in advance,and it’s very important for the understanding of rock structures and the prevention of rock disasters. Due to the multiple reflections, diffractions and other issues, the identification and interpretationof the resultsfor GPR detectionwith more complexfracture networks is difficult.The back projection (BP) algorithm can be used to obtain high-resolution radar imaging, but the serious noise jamming of the traditional BP algorithm reduces the effect and resolution for GPR imaging. Therefore, an improvedBP algorithm that uses correlation among different tracks of the radar response of the point to be imaged is proposed. The improved BP algorithm uses 2 times of fast correlation operations to increase the inhibition of interferencein other points, and uses electromagnetic wave attenuation compensation parameter to enhance the effect of radar imaging. For several typical rock fracture networks, GPR forward modeling and imaging simulationare launched based on improved BP algorithm, while the physical modeltestsare verified, andit isfound thattheimproved BP algorithm canobtain theimaging of the location and shape of the fracture networks, and has stronger interference suppression effects, thanthetraditional BP algorithm.

关键词

岩体裂隙/地质雷达/正演模拟/后向投影算法/改进后向投影算法/成像方法

Key words

rock fracture/ground penetrating radar/forward modeling/back projection algorithm/improved back projection algorithm/imaging method

分类

建筑与水利

引用本文复制引用

李尧,李术才,刘斌,徐磊,张凤凯,聂利超..基于改进后向投影算法的地质雷达探测岩体裂隙的成像方法[J].岩土工程学报,2016,38(8):1425-1433,9.

基金项目

国家重点基础研究发展计划(“973”计划)项目(2013CB036002,2015CB058101);国家重大仪器设备研制专项(51327802);国家自然科学基金重点项目 ()

岩土工程学报

OA北大核心CSCDCSTPCD

1000-4548

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