Evidence map›Paper›PMID 37896578›Full record

ArticleSensors (Basel, Switzerland)2023

Multi-Order Mode Excitation and Separation of Ultrasonic Guided Waves in Rod Structures Using 2D-FFT.

Gang Li, Jing Zhang, Juke Cheng, Kang Wang, Dong Yang, Ye Yuan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Gang LiDepartment of Civil Engineering, Hefei University of Technology, Hefei 230009, China.ORCID 0009-0001-4486-6100
Jing ZhangDepartment of Civil Engineering, Hefei University of Technology, Hefei 230009, China.
Juke ChengDepartment of Civil Engineering, Hefei University of Technology, Hefei 230009, China.
Kang WangDepartment of Civil Engineering, Hefei University of Technology, Hefei 230009, China.
Dong YangEarthquake Engineering Research & Test Center, Guangzhou University, Guangzhou 510006, China.ORCID 0000-0002-0980-5687
Ye YuanDepartment of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China.

Funding

Ministry of Science and Technology of the People's Republic of China 2019YFB1600702National Nature Science Foundation of China 52278303
6 · The paper itself

Abstract

The ultrasonic guided wave technique is extensively used for nondestructive structural testing, and one of the key steps is to extract a single mode with certain purity from multi-order mixed modes. In this paper, the propagation of ultrasonic guided waves in the cylindrical rod is simulated first; the appropriate broadband excitation signal is selected to excite the multi-order modes in a specific frequency range; and the time-space signal containing multi-order modes is converted to the frequency-wavenumber domain signal by two-dimensional Fourier transform. In the frequency-wavenumber domain, the frequency-wavenumber ridge is extracted from the multi-mode frequency-wavenumber domain based on the dynamic programming method, and then the time-domain signal corresponding to a single mode can be reconstructed. By comparing the excited multi-order mode and the separated single mode with the theoretical results, it is observed that the two results are consistent. Thus, the employed mode-excitation method can accurately excite the multi-order modes in rod structures. Furthermore, the proposed method enables the separation of a single-mode wave with high purity, providing a foundation for future utilization of isolated modes.

Indexed as

frequency-wavenumber ridge extractionmode separationmulti-order modestwo-dimensional Fourier transformultrasonic guided wave

Identifiers

PMID37896578
PMCPMC10610617

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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.