Inversion Model of GPR Imaging Characteristics of Point Objects and Fracture Detection of Heritage Building
Joint Authors
Yang, Jie
Hu, De-xiu
Li, Ning
Yao, Xianchun
Lv, Gao
Pang, Rixuan
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Lv, Gao& Li, Ning& Yang, Jie& Yao, Xianchun& Hu, De-xiu& Pang, Rixuan. 2018. Inversion Model of GPR Imaging Characteristics of Point Objects and Fracture Detection of Heritage Building. Journal of Sensors،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1201046
Modern Language Association (MLA)
Lv, Gao…[et al.]. Inversion Model of GPR Imaging Characteristics of Point Objects and Fracture Detection of Heritage Building. Journal of Sensors No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1201046
American Medical Association (AMA)
Lv, Gao& Li, Ning& Yang, Jie& Yao, Xianchun& Hu, De-xiu& Pang, Rixuan. Inversion Model of GPR Imaging Characteristics of Point Objects and Fracture Detection of Heritage Building. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1201046
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201046