Innovative Strain Sensing for Detection of Exterior Wall Tile Lesion: Smart Skin Sensory System
Autor: | Chien-Pang Lin, Li-Hua Liu, San-Shan Hung, Chih-Yuan Chang |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Automatic control
Computer science smart building 02 engineering and technology 01 natural sciences lcsh:Technology Construction engineering Article General Materials Science lcsh:Microscopy Building automation lcsh:QC120-168.85 Smart skin lcsh:QH201-278.5 business.industry lcsh:T 010401 analytical chemistry 021001 nanoscience & nanotechnology 0104 chemical sciences lcsh:TA1-2040 visual_art visual_art.visual_art_medium strain gauge lcsh:Descriptive and experimental mechanics Tile lcsh:Electrical engineering. Electronics. Nuclear engineering public safety 0210 nano-technology business lcsh:Engineering (General). Civil engineering (General) lcsh:TK1-9971 tile |
Zdroj: | Materials, Vol 11, Iss 12, p 2432 (2018) Materials Volume 11 Issue 12 |
ISSN: | 1996-1944 |
Popis: | Tiles are commonly used to cover the exteriors of buildings in Taiwan. However, older buildings in Taiwan encounter the problem of tiles falling off due to natural deterioration, which is unsightly, and more importantly, a threat to public safety. Nevertheless, no current method exists that can effectively detect flaws in building tiles in real time. This study combined the fields of civil engineering and automatic control to reduce risks caused by falling tiles by improving real-time detection of at-risk areas. Micro-resistance was combined with fuzzy theory as the logical foundation for evaluating tile status. String-type strain gauges were adopted as sensors to design a smart skin sensory system that could measure signs of deterioration in tile surface lesions. The design was found to be feasible. In the future, it can be further developed for facile real-time assessment of tile status. |
Databáze: | OpenAIRE |
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