Full-waveform GPR inversion to assess chloride gradients in concrete

Kalogeropoulos, A.; Kruk, Jan van der; Hugenschmidt, Johannes; Bikowski, Jutta; Brühwiler, Eugen

doi:10.1016/j.ndteint.2013.03.003

Cited by 68 publications

(36 citation statements)

References 30 publications

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“…Waveform inversion methods can theoretically incorporate all the information present in the reflected waveform and thus may provide a tool to reliably and accurately quantify thinlayer parameters. Previous research has demonstrated the efficacy of this approach using GPR reflection data for a variety of subsurface problems, including detecting contaminant infiltration (Kalogeropoulos et al, 2013), measuring soil water content (Lambot et al, 2004;Tran et al, 2012), and quantifying subsurface ε ef and conductivity (σ) (Klotzsche et al, 2010;Busch et al, 2012). However, problems such as the coupled nature of material properties, computing speed, and solution nonuniqueness can hinder the reliability of full-waveform inversion algorithms (Operto et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Reflection waveform inversion of ground-penetrating radar data for characterizing thin and ultrathin layers of nonaqueous phase liquid contaminants in stratified media

Babcock¹,

Bradford

2015

GEOPHYSICS

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Accurately quantifying thin-layer parameters by applying a targeted reflection waveform inversion methodology to ground-penetrating radar (GPR) reflection data may provide a useful tool for near-surface investigation and especially for contaminated site investigation where nonaqueous phase liquid (NAPL) contaminants are present. We implemented a targeted reflection waveform inversion algorithm to quantify thin-layer permittivity, thickness, and conductivity for NAPL thin (≤ 1∕2 dominant wavelength λ) and ultrathin (≤ 1∕8λ) layers using GPR reflection data. The inversion used a nonlinear grid search with a Monte Carlo scheme to initialize starting values to find the global minimum. By taking a targeted approach using a time window around the peak amplitude of the reflection event of interest, our algorithm reduced the complexity in the inverse problem. We tested the inversion on three different synthetic data sets and four field data sets. In all testing, the inversion solved for NAPL-layer properties within 15% of the measured values. This algorithm provides a tool for site managers to prioritize remediation efforts based on quantitative assessments of contaminant quantity and location using GPR.

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Section: Introductionmentioning

confidence: 99%

Reflection waveform inversion of ground-penetrating radar data for characterizing thin and ultrathin layers of nonaqueous phase liquid contaminants in stratified media

Babcock¹,

Bradford

2015

GEOPHYSICS

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“…The main goal of the STSM was to use an original approach based on FWI to evaluate the size of circular-section objects embedded in concrete. FWI is based on the inversion of the full wave of radar signals and, until now, it was successfully used for soil permittivity and conductivity evaluation, whereas it has seen limited application to reinforced concrete, such as rebar/pipes recognition, evaluation of permittivity and conductivity of concrete, chlorides and moisture assessment [14,15].…”

Section: Stsms On Inversion Techniques For Gprmentioning

confidence: 99%

Short-Term Scientific Missions on electromagnetic modelling and inversion techniques for Ground Penetrating Radar - COST Action TU1208

Pajewski

Giannopoulos

Lambot

et al. 2016

2016 10th European Conference on Antennas and Propagation (EuCAP)

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“…Various computational methods have been devised to solve this problem. A direct optimization approach, called Full Waveform Inversion (especially in the geophysical literature) may be used to solve the minimization problem mentioned above, as in [8,9]. If the objective function surface is smooth enough, a gradienttype minimization scheme may be employed.…”

Section: Introductionmentioning

confidence: 99%

Computational Time Reversal for NDT Applications Using Experimental Data

et al. 2017

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A model-based non destructive testing (NDT) method is proposed for damage identification in elastic structures, incorporating computational time reversal (TR) analysis. Identification is performed by advancing elastic wave signals, measured at discrete sensor locations, backward in time. In contrast to a previous study, which was purely numerical and employed only synthesized data, here an experimental system with displacement sensors is used to provide physical measurements at the sensor locations. The performance of the system is demonstrated by considering two problems of a thin metal plate in a plane stress state. The first problem, which represents passive damage identification, consists in finding the location of a small impact region from remote measurements. The second problem is the identification of the location of a square hole in the plate. The difficulties one encounters in applying this identification method and ways to overcome them are described. It is concluded that while this is a viable model-based identifica-

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Full-waveform GPR inversion to assess chloride gradients in concrete

Cited by 68 publications

References 30 publications

Reflection waveform inversion of ground-penetrating radar data for characterizing thin and ultrathin layers of nonaqueous phase liquid contaminants in stratified media

Reflection waveform inversion of ground-penetrating radar data for characterizing thin and ultrathin layers of nonaqueous phase liquid contaminants in stratified media

Short-Term Scientific Missions on electromagnetic modelling and inversion techniques for Ground Penetrating Radar - COST Action TU1208

Computational Time Reversal for NDT Applications Using Experimental Data

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