This study examines physically interpretable PZT signal features for concrete curing in two independent campaigns using rebound-hammer impact and controlled burst-sine actuation. Spearman correlations tracked feature medians across common Days 3, 7, 14, and 21 using campaign-specific compressive strengths as curing-progress references. Differences in batch, replication, and measurement configuration prevent isolation of excitation-method effects. Under impact excitation, PZT-B/Extra gave coefficients of 0.95, −1.00, 0.40, and 0.80 for peak count, time of maximum response, zero-crossing rate, and relative 2–4 kHz energy. Under controlled actuation, the side-actuation–Middle-sensor layout led screening across 70–110 kHz: RMS amplitude had a median coefficient of −0.80, meeting the criterion at three frequencies, while two-bin Fourier entropy had +0.87 and met it at all four. Additional within-method analyses showed Method 1 peak-count and response-timing directions persisted with Day 28, while zero-crossing-rate and relative-energy associations weakened; for Method 2, negative RMS persisted whereas Fourier entropy and layout ordering were age-set sensitive. The 120 kHz condition was retained for sensitivity analysis. These exploratory associations track curing-related mechanical development, not the complete curing state, and do not establish strength-specific sensitivity. PZT sensing complements standardized strength testing; no predictive or explainable-AI model was evaluated.
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Gharavi et al. (2026) studied this question.
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