Evidence map›Paper›PMID 42124265›Full record

ArticleMaterials (Basel, Switzerland)2026

Kissing Bond Damage Detection Based on the Non-Reciprocity of Nonlinear Guided Waves in CFRP-Reinforced Steel Plates.

Ruiqi Guan, Haoqi Zhang, Jiarui Deng, Qingping Kang, Kai Wang

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ruiqi GuanCollege of Civil Engineering, Huaqiao University, Xiamen 361021, China.
Haoqi ZhangSchool of Aerospace Engineering, Xiamen University, Xiamen 361005, China.
Jiarui DengSchool of Aerospace Engineering, Xiamen University, Xiamen 361005, China.
Qingping KangSchool of Aerospace Engineering, Xiamen University, Xiamen 361005, China.
Kai WangSchool of Aerospace Engineering, Xiamen University, Xiamen 361005, China.

Funding

Fujian Provincial Natural Science Foundation of China 2022J05057National Natural Science Foundation of China 52205170National Natural Science Foundation of China 52408330National Natural Science Foundation of China 52575188Natural Science Foundation of Xiamen, China 3502Z20227038
6 · The paper itself

Abstract

Kissing bond damage, as an early stage of debonding in CFRP-reinforced structures, severely threatens the integrity and performance of structures. However, conventional ultrasonic guided wave methods are not sensitive to this sort of damage due to the micro scale of the damage and the complexity of the wave at the interface. To address this problem, the reciprocity of nonlinear guided waves is proposed to identify this damage and a novel reciprocity index based on the correlation coefficient of kissing bond damage-induced second harmonic waves is developed. A finite element model is established and kissing bond in CFRP-reinforced steel plate is simulated with a novel method, which is close to the actual condition of the kissing bond and can help reveal the interaction between guided waves and the interface. Experimental tests are also carried out to verify the proposed method. In addition, to prove the high efficiency of the proposed method, correlation coefficients of directly received signals are calculated to compare with the proposed reciprocity index. Both simulation and experiment results illustrate that the reciprocity index rises as the length of kissing bond increases, while correlation coefficients of directly received signals did not show a monotonic trend as the damage length changes, reflecting the validity and high sensitivity of the proposed method in identifying and quantitatively evaluating kissing bond damage in CFRP bonded steel structures.

Indexed as

CFRP-reinforced steel structureskissing bond damagenonlinear guided wavesreciprocity

Identifiers

PMID42124265
PMCPMC13164863

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.