Evidence map›Paper›PMID 31878070›Full record

ArticleSensors (Basel, Switzerland)2019

Structural Health Monitoring System Based on FBG Sensing Technique for Chinese Ancient Timber Buildings.

Shao-Fei Jiang, Ze-Hui Qiao, Ni-Lei Li, Jian-Bin Luo, Sheng Shen, Ming-Hao Wu, Ying Zhang

Abstract read
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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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 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

7 authors.

Shao-Fei JiangCollege of Civil Engineering, Fuzhou University, Fuzhou 350108, China.ORCID 0000-0003-2149-9296
Ze-Hui QiaoCollege of Civil Engineering, Fuzhou University, Fuzhou 350108, China.
Ni-Lei LiCollege of Civil Engineering, Fuzhou University, Fuzhou 350108, China.
Jian-Bin LuoCollege of Civil Engineering, Fuzhou University, Fuzhou 350108, China.
Sheng ShenCollege of Civil Engineering, Fuzhou University, Fuzhou 350108, China.
Ming-Hao WuInstitute of Structural Detection, Fujian Academy of Building Research Co., Ltd. 6, Fuzhou 350002, China.
Ying ZhangCollege of Civil Engineering, Fuzhou University, Fuzhou 350108, China.

Funding

National Natural Science Foundation of China National Natural Science Foundation of China (Grant No. 51678156)
6 · The paper itself

Abstract

Due to the long-term service, Chinese ancient timber buildings show varying degrees of wear. Thus, structural health monitoring (SHM) for these cultural and historical treasures is desperately needed to evaluate the service status. Although there are some FBG sensing-based SHM systems, they are not suitable for Chinese ancient timber buildings due to the differences in architectural types, structural loads, materials, and environment. Besides, a technical gap in Fiber Bragg grating (FBG) sensing-based column inclination monitoring exists. To overcome these weaknesses, this paper develops an FBG sensing-based structural health monitoring system for Chinese ancient Chuan-dou-type timber buildings that aims at monitoring structural deformation, i.e., beam deflection and column inclination, temperature, humidity, and fire around the building. An in-situ test and simulation analyses were conducted to verify the effectiveness of the developed SHM system. To validate the long-term-operation of the developed SHM system, monitoring data within 15 months were analyzed. The results show good agreement between the developed SHM system in this paper and other methods. In addition, the SHM system operated well in the first year after its deployment. This implies that the developed SHM system is applicable and effective in the health state monitoring of Chinese ancient Chuan-dou-type timber buildings, laying a foundation for damage prognosis of such types of timber buildings.

Indexed as

Chinese ancient Chuan-dou-type timber buildingsFBG sensing techniqueSHM system

Identifiers

PMID31878070
PMCPMC6982796

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