Evidence map›Paper›PMID 31159161›Full record

ArticleSensors (Basel, Switzerland)2019

Damage Detection of Common Timber Connections Using Piezoceramic Transducers and Active Sensing.

Fang Han, Jinwei Jiang, Kai Xu, Ning Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

4 authors.

Fang HanCollege of Science, Wuhan University of Science and Technology, Wuhan 430065, China. hanfang@wust.edu.cn.ORCID 0000-0001-6323-6086
Jinwei JiangDepartment of Mechanical Engineering, University of Houston, Houston, TX 77204, USA. jjiang7@uh.edu.
Kai XuCollege of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China. xukai@wust.edu.cn.ORCID 0000-0003-1929-1111
Ning WangDepartment of Mechanical Engineering, University of Houston, Houston, TX 77204, USA. nwang@uh.edu.ORCID 0000-0003-1568-6933

Funding

National Natural Science Foundation of China No. 51108358 and No. 51574184
6 · The paper itself

Abstract

Timber structures have been widely used due to their low-cost and environmental-friendly properties. It is essential to monitor connection damage to ensure the stability and safety of entire timber structures since timber connection damage may induce catastrophic incidents if not detected in a timely manner. However, the current investigations on timber connections focus on mechanical properties and failure modes, and the damage detection of timber connection receives rare attention. Therefore, in this paper, we investigate the damage detection of four common timber connections (i.e., the screw connection, the bolt connection, the decussation connection, and the tooth plate connection) by using the active sensing method. The active sensing method was implemented by using a pair of lead zirconate titanate (PZT) transducers: one PZT patch is used as an actuator to generate stress waves, and the other works as a sensor to detect stress waves after propagating across the timber connection. Based on the wavelet packet energy analysis, the signal energy levels of received stress waves under different damage extent are quantified. Finally, by comparing the signal energy between the intact status and the damage status of the timber connection, we find that the energy attenuates with increasing severity of the connection damage. The experimental results demonstrate that the active sensing method can realize real-time monitoring of timber connection damage, which can guide further investigations.

Indexed as

active sensing methodlead zirconate titanate (PZT) transducerspiezoceramic transducertimber connection damage monitoringwavelet packet-based energy analysis

Identifiers

PMID31159161
PMCPMC6603585

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Registered trials

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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.