Physics- and hardware-aware frequency pair selection for deployment-ready nonlinear Lamb wave mixing

Abstract. Nonlinear Lamb wave mixing can reveal early micro-cracks through intermodulation products at f±=fa±fb, yet its deployment is often hindered by the lack of a pre-acquisition rule for selecting tone pairs that are simultaneously phase-coherent and measurable on a given instrument chain. We propose a physics- and hardware-aware ranking score, J(fa,fb), that integrates (i) normalised phase mismatch |Δk|/kmt and the implied interaction length Lint, (ii) a path length term Lpath/Lint, (iii) measured receive-chain sensitivity Grx(f+)/G0, and (iv) a dynamic-range penalty that accounts for two-tone leakage and front-end limits. Embedded in a three-step workflow (dispersion pre-filtering, hardware screening, and top-K ranking), the score shortlists excitation pairs prior to spectral phase inversion (SPI-4) same-spectrum readout. Experiments on an aluminium plate with controlled crack growth (0–12 mm) show that low-J pairs consistently deliver higher mixed-line SNR(f+), concentrate in the low-mismatch basin, and cross a conservative detection threshold after only a few millimetres of extension, whereas higher-J pairs remain near the noise floor. The results demonstrate a transparent and reproducible route from physics and instrument constraints to deployment-ready frequency pair selection for baseline-free nonlinear guided-wave inspection.

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Publication Details

Journal
Mechanical sciences
Published
2026-03-03
DOI
https://doi.org/10.5194/ms-17-167-2026
Primary Topic
Ultrasonics and Acoustic Wave Propagation
Type
article
Field-Weighted Citation Impact
0.00

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article

Physics- and hardware-aware frequency pair selection for deployment-ready nonlinear Lamb wave mixing

Ting You, PeiJiang LI
Mechanical sciences
Ultrasonics and Acoustic Wave Propagation
article

Physics- and hardware-aware frequency pair selection for deployment-ready nonlinear Lamb wave mixing

Ting You, PeiJiang LI
article en

Abstract

Abstract. Nonlinear Lamb wave mixing can reveal early micro-cracks through intermodulation products at f±=fa±fb, yet its deployment is often hindered by the lack of a pre-acquisition rule for selecting tone pairs that are simultaneously phase-coherent and measurable on a given instrument chain. We propose a physics- and hardware-aware ranking score, J(fa,fb), that integrates (i) normalised phase mismatch |Δk|/kmt and the implied interaction length Lint, (ii) a path length term Lpath/Lint, (iii) measured receive-chain sensitivity Grx(f+)/G0, and (iv) a dynamic-range penalty that accounts for two-tone leakage and front-end limits. Embedded in a three-step workflow (dispersion pre-filtering, hardware screening, and top-K ranking), the score shortlists excitation pairs prior to spectral phase inversion (SPI-4) same-spectrum readout. Experiments on an aluminium plate with controlled crack growth (0–12 mm) show that low-J pairs consistently deliver higher mixed-line SNR(f+), concentrate in the low-mismatch basin, and cross a conservative detection threshold after only a few millimetres of extension, whereas higher-J pairs remain near the noise floor. The results demonstrate a transparent and reproducible route from physics and instrument constraints to deployment-ready frequency pair selection for baseline-free nonlinear guided-wave inspection.

Mechanical sciencesVol. 17(1)
Quzhou College of Technology (CN), Quzhou University (CN), Newcastle University (GB)
Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 37%
Ultrasonics and Acoustic Wave Propagation
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Physics- and hardware-aware frequency pair selection for deployment-ready nonlinear Lamb wave mixing — Ting You, PeiJiang LI · Mechanical sciences (2026) | TGRS Research Map | TGRS