scholarly journals Degradation of architectural precast concrete elements on the facade of St. Michael the Archangel church in Warsaw

2019 ◽  
Vol 284 ◽  
pp. 07001
Author(s):  
Grzegorz Adamczewski ◽  
Piotr Woyciechowski
Keyword(s):  
Ground Penetrating Radar ◽  
Precast Concrete ◽  
Radar Method ◽  
Precast Elements ◽  
Ground Penetrating ◽  
Concrete Elements

The paper presents the case study of the degradation of architectural precast concrete elements on the facade of St. Michael the Archangel church in Warsaw. The background of the contemporary precast non-standard prefabrication was presented with the examples of polish recent applications. The GPR (ground penetrating radar) method was used in determining the location of reinforcement in the precast elements in the degraded façade. The conceptions of repair were analyzed and the reasons of the destructions of the precast elements.

scholarly journals Ground penetrating radar: a case study for estimating root bulking rate in cassava (Manihot esculenta Crantz)

Plant Methods ◽  
2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Alfredo Delgado ◽  
Dirk B. Hays ◽  
Richard K. Bruton ◽  
Hernán Ceballos ◽  
Alexandre Novo ◽  
...  
Keyword(s):  
Ground Penetrating Radar ◽  
Manihot Esculenta ◽  
Manihot Esculenta Crantz ◽  
Ground Penetrating ◽  
Bulking Rate

Understanding the use of ground-penetrating radar for assessing clandestine tunnel detection

2019 ◽  
Vol 38 (6) ◽  
pp. 453-459
Author(s):  
Nectaria Diamanti ◽  
A. Peter Annan
Keyword(s):  
Ground Penetrating Radar ◽  
Minimal Amount ◽  
Operational Environment ◽  
Field Case ◽  
Tunnel Detection ◽  
Specific Focus ◽  
Key Aspects ◽  
Ground Penetrating

We provide a coherent approach for developing an understanding of how and where ground-penetrating radar (GPR) can be deployed for tunnel detection. While tunnels in general are of interest, the more specific focus is tunnels that are hand dug or created with a minimal amount of equipment and resources for clandestine purposes. Determining whether GPR can be used for tunnel detection is impossible without an in-depth knowledge of the operational environment and constraints. To effectively address the question, we define the general characteristics of clandestine tunnels, discuss how to estimate the responses amplitude, define the dominant noise types associated with GPR data, and point out how those factors are affected by the GPR system. The key aspects are illustrated using a controlled field case study.

scholarly journals On the errors involved in ice-thickness estimates I: ground-penetrating radar measurement errors

2016 ◽  
Vol 62 (236) ◽  
pp. 1008-1020 ◽  
Author(s):  
J.J. LAPAZARAN ◽  
J. OTERO ◽  
A. MARTÍN-ESPAÑOL ◽  
F.J. NAVARRO
Keyword(s):  
Ground Penetrating Radar ◽  
Measurement Errors ◽  
Ice Thickness ◽  
Independent Components ◽  
Ice Volume ◽  
Thickness Error ◽  
Grid Points ◽  
Ground Penetrating ◽  
Volume Estimates

ABSTRACTThis is the first (Paper I) of three companion papers focused respectively, on the estimates of the errors in ice thickness retrieved from pulsed ground-penetrating radar (GPR) data, on how to estimate the errors at the grid points of an ice-thickness DEM, and on how the latter errors, plus the boundary delineation errors, affect the ice-volume estimates. We here present a comprehensive analysis of the various errors involved in the computation of ice thickness from pulsed GPR data, assuming they have been properly migrated. We split the ice-thickness error into independent components that can be estimated separately. We consider, among others, the effects of the errors in radio-wave velocity and timing. A novel aspect is the estimate of the error in thickness due to the uncertainty in horizontal positioning of the GPR measurements, based on the local thickness gradient. Another novel contribution is the estimate of the horizontal positioning error of the GPR measurements due to the velocity of the GPR system while profiling, and the periods of GPS refreshing and GPR triggering. Their effects are particularly important for airborne profiling. We illustrate our methodology through a case study of Werenskioldbreen, Svalbard.

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