RT Journal Article
T1 GPR analysis to detect subsidence: a case study on a loaded reinforced concrete pavement
A1 Solla Carracelas, Maria Mercedes
A1 Fernández, Norberto
K1 3308 Ingeniería y Tecnología del Medio Ambiente
AB Subsidence seriously affects the structural stability and safety of pavements and foundation soils. In heavy-loaded pavements, there is a risk of floor sinking and further construction collapse; hence, there is a need to develop efficient methodologies to detect subsidence earlier. This work proposes the use of ground penetrating radar (GPR) as a solution to non-invasively inspect the subsoil. Furthermore, as the interpretation of the GPR data is arguably subjective and highly dependent on who interprets it, different imaging techniques are herein exploited to improve the interpretability and detection of subsidence and settlement phenomena. The approach was applied to a heavily loaded reinforced concrete pavement servicing a manufacturing facility. Amplitude- and texture-based imaging methods were used to detect subsidence. The interpretation of such imaging was validated with additional geotechnical studies, which show that the proposed methods provide reliable results with good agreement between techniques.
PB International Journal of Pavement Engineering
SN 10298436
YR 2022
FD 2022-01-22
LK http://hdl.handle.net/11093/3637
UL http://hdl.handle.net/11093/3637
LA eng
NO International Journal of Pavement Engineering, (2022)
NO Agencia Estatal de Investigación | Ref. PID2019-105221RB-C44
DS Investigo
RD 10-dic-2023