Evidence map›Paper›PMID 40285223›Full record

ArticleSensors (Basel, Switzerland)2025

Concrete Damage Identification and Localization for Structural Health Monitoring Based on Piezoelectric Sensors.

Hongjie Li, Bo Di, Yu Zheng, Hongwei Ma, Xiaomiao Huang, Hekun Wu, Jize Zhang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

7 authors.

Hongjie LiSchool of Environment and Civil Engineering, Dongguan University of Technology, Dongguan 523808, China.
Bo DiSchool of Environment and Civil Engineering, Dongguan University of Technology, Dongguan 523808, China.ORCID 0000-0003-4462-8302
Yu ZhengSchool of Environment and Civil Engineering, Dongguan University of Technology, Dongguan 523808, China.ORCID 0000-0003-4131-8480
Hongwei MaSchool of Environment and Civil Engineering, Dongguan University of Technology, Dongguan 523808, China.
Xiaomiao HuangChina Harbour Engineering Company Ltd., Macao 999078, China.
Hekun WuChina Construction Fifth Engineering Division Company Ltd., Changsha 410004, China.
Jize ZhangDepartment of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Hong Kong 999077, China.ORCID 0000-0002-0553-3979

Funding

National Key Research and Development Program of China 2024YFE0201900National Natural Science Foundation of China 52178192Science and Technology Innovation Joint Fund Program of the Guangdong and Macau 2022A0505020030, 0057/2021/AGJScientific Research Capacity Enhancement Program for Key Construction Disciplines in Guangdong 2022ZDJS032
6 · The paper itself

Abstract

In recent years, effective methods for concrete damage identification and localization have become crucial in the field of structural health monitoring (SHM). This study proposes an approach utilizing piezoelectric sensors to detect and localize damage in concrete structures. The method involves using a network of piezoelectric ceramic sensors to actively excite and receive stress waves within the concrete. By analyzing the differences in wave propagation between healthy and damaged states, internal damage can be identified and localized. The collected data are processed using advanced signal processing techniques, including wavelet analysis and pattern recognition algorithms, to accurately identify the damage's location and severity. Experimental results demonstrate the high precision of this method. Compared to traditional techniques, this approach offers significant advantages, including faster detection, non-destructive testing, and real-time monitoring. In conclusion, the use of piezoelectric sensors for damage detection and localization provides a promising solution for enhancing the safety and longevity of concrete structures, offering a reliable tool for structural health monitoring in civil engineering applications.

Indexed as

concrete damage detectionlocalizationnon-destructive testingpiezoelectric sensorsstructural health monitoring

Identifiers

PMID40285223
PMCPMC12031053

What OpenQuestion holds

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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.