Ground penetrating radar (GPR) and electrical resistivity tomography (ERT) are increasingly combined for the condition assessment of reinforced concrete, yet published integration schemes generally rely on empirical curve-fitting or qualitative visual overlay rather than on an explicit physical model for the anomaly thresholds applied. This paper presents a forward-modelling programme used to propose provisional, model-informed GPR–ERT screening multipliers and embeds them within a four-stage preliminary risk-screening framework. The multipliers are bracketed by the modelled responses but are not derived from a closed mathematical procedure; the framework is a physics-informed preliminary screening approach, not a validated diagnostic method, and the reported sensitivity results do not constitute statistically validated diagnostic accuracy. A linearised, sensitivity-kernel-weighted (Born-type) formulation was used to compute synthetic Wenner–Schlumberger ERT pseudosections, and a semi-analytical impulse-response superposition (800 MHz Ricker source) was used to compute synthetic GPR radargrams, for four scenarios: an intact reference, a water-filled crack, an air void, and a combined crack–void–corrosion zone. The GPR model reproduces reflection polarities prescribed from electromagnetic theory (R = −0.48 for the water-filled crack mouth; R = +0.52 then −0.52 for the top and bottom interfaces of an air void), which demonstrates implementation consistency rather than independent validation. For the air void, the inverted ERT peak (250–275 Ω·m against a 180 Ω·m background) lies 39–53% above background, which is under 1% of the true resistivity contrast (about 10,000 Ω·m), illustrating the strong under-recovery of high-contrast targets by smoothed, linearised inversion. The modelled responses were used to bracket Stage 2 screening criteria—a GPR rebar-amplitude criterion (A < 0.70 × A0) and ERT conductive/resistive criteria (ρ < 0.60 × ρ0 or ρ > 1.25 × ρ0)—within a four-stage procedure comprising baseline establishment, anomaly screening, spatial cross-validation and indicative risk categorisation. The procedure was applied to previously reported classifications of four masonry field sites, for which no destructive ground truth is available and to which rebar-specific quantities do not directly apply; a preliminary one-at-a-time multiplier sweep of these classifications is under audit and supports no robustness claim. All results derive from a single reference concrete mix, electrode spacing and antenna frequency, and their transfer to other mixes, cover depths and survey geometries has not been tested.
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Obaida et al. (2026) studied this question.
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