Evidence map›Paper›PMID 33352775›Full record

ArticleSensors (Basel, Switzerland)2020

Time Reverse Modeling of Damage Detection in Underwater Concrete Beams Using Piezoelectric Intelligent Modules.

Jiachen Liang, Bo Chen, Chenfei Shao, Jianming Li, Bangbin Wu

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.8field-weighted citation impact, top 17% of its field
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

1 citing paper in PubMed, 26 citations in OpenAlex.

  1. Review
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 at 1 institution in 1 country.

Jiachen LiangCollege of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China.ORCID 0000-0002-2672-2808
Bo ChenCollege of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China.ORCID 0000-0003-4573-4430
Chenfei ShaoCollege of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China.
Jianming LiCollege of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China.ORCID 0000-0002-3080-3854
Bangbin WuCollege of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China.ORCID 0000-0001-8169-4355
Hohai University · CN

Funding

Central University Basic Research Project B200202160, 2020B11118Fund of National Dam Safety Research Center CX2019B06National Key R&D Program of China 2018YFC0407104National Natural Science Foundation of China 52079049, 51739003, 51609074Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions YS11001
6 · The paper itself

Abstract

Underwater cracks in concrete structures are often difficult to detect due to their complexity of the service environment. With numerical and experimental analysis of concrete beams immersed in water, an active monitoring system, based on a cement-based piezoelectric intelligent module array (CPIMA), was developed to locate and quantify the underwater cracks. Time reversal (TR) of the stress wave field is accomplished to focus on the crack area through the concrete beam specimen by the system. First, a piezoelectric actuator is applied to emit the initial propagating wave, which can be reflected, attenuated, and diffracted by the crack, transmitted through water filled in the crack, as well as diffracted by the coarse aggregates. To extract the damage waveforms associated with the crack and analyze the robust time-reversal invariance under the high-order multiple scattering effect, a pair of homogeneous and heterogeneous forward finite element (FE) models is established. Then, the damage waveforms are time-reversed and re-propagated in the inverse numerical model, where an optimal refocusing is achieved on the crack that behaves as an acoustic source. Finally, the damage area is obtained in the form of the stacked energy distribution of each time step. The focus results are represented by cloud images and compared with root-mean-square deviation (RMSD) values. Numerical simulation and experiments show that this method can identify and quantify underwater cracks effectively.

Indexed as

concretehealth monitoringintelligent modulestime reversalunderwater crackwave propagation

Identifiers

PMID33352775
PMCPMC7766863
OpenAlexW3117450635

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.