...
首页> 外文期刊>Journal of Sensors >Inversion Model of GPR Imaging Characteristics of Point Objects and Fracture Detection of Heritage Building
【24h】

Inversion Model of GPR Imaging Characteristics of Point Objects and Fracture Detection of Heritage Building

机译:点对象的GPR成像特征的反演模型及遗产建筑断裂检测

获取原文
获取原文并翻译 | 示例

摘要

There are often many hidden structural defects in heritage buildings. As a convenient and effective nondestructive detecting method, ground-penetrating radar (GPR) has a technical advantage in detecting and protecting heritage buildings depending on the advanced image interpretation. The analytic relationship between buried depth and radius of point object and long and short axis of hyperbolic equation was established according to derivations of formulas. The image characteristics of hyperbolic curves with different depth and radius were studied by finite-difference time-domain method (FDTD). And then, inversion models of buried depth and radius of point object were established. The buried depth and radius can be accurately deduced by long and short axis of hyperbolic image. This result was applied in the detection of pedestal defects of the heritage building, and the depth and distribution range of hidden fracture can be accurately interpreted. It provides an effective and fast method to detect hidden defects in civil engineering.
机译:遗产建筑中经常存在许多隐藏的结构缺陷。作为一种方便且有效的非破坏性检测方法,地面穿透雷达(GPR)在检测和保护遗产建筑物的技术优势,这取决于先进的图像解释。根据公式的推导,建立了掩埋深度和点对象和长轴长轴的分析关系,是根据公式的推导。通过有限差分时间域法(FDTD)研究了具有不同深度和半径的双曲线曲线的图像特征。然后,建立了埋地深度和点对象半径的反转模型。通过双曲线图像的长轴和短轴可以准确地推断出埋入的深度和半径。该结果用于检测遗产建筑的基座缺陷,并且可以准确地解释隐藏骨折的深度和分布范围。它提供了一种检测土木工程中隐藏缺陷的有效和快速的方法。

著录项

  • 来源
    《Journal of Sensors 》 |2018年第2期| 共10页
  • 作者单位

    Xian Univ Technol Inst Water Resources &

    Hydroelect Engn Xian 710048 Shaanxi Peoples R China;

    Xian Univ Technol Inst Water Resources &

    Hydroelect Engn Xian 710048 Shaanxi Peoples R China;

    Xian Univ Technol Inst Water Resources &

    Hydroelect Engn Xian 710048 Shaanxi Peoples R China;

    Xian Univ Technol Inst Geotech Engn Xian 710048 Shaanxi Peoples R China;

    Xian Univ Technol Inst Water Resources &

    Hydroelect Engn Xian 710048 Shaanxi Peoples R China;

    Shaanxi Geol Mineral Survey Grp Geochem Explorat Team Xian 710023 Shaanxi Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TP212;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号