Structural Health Monitoring (SHM) of Civil Structures
At the current time of writing, the American Society of Civil Engineers (ASCE) has awarded American infrastructure a grade of D+, meaning poor and at risk. Part of the reason for the low grade is due to the rapid deterioration of structural integrity and the inability of most places to safely meet f...
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Format: | Book Chapter |
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MDPI - Multidisciplinary Digital Publishing Institute
2018
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Online Access: | Get Fullteks DOAB: description of the publication |
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LEADER | 02370naaaa2200349uu 4500 | ||
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001 | doab_20_500_12854_60144 | ||
005 | 20210212 | ||
020 | |a 9783038427841 | ||
020 | |a 9783038427834 | ||
041 | 0 | |a English | |
042 | |a dc | ||
100 | 1 | |a Chuji Wang (Ed.) |4 auth | |
700 | 1 | |a Bo Wang (Ed.) |4 auth | |
700 | 1 | |a Gangbing Song (Ed.) |4 auth | |
245 | 1 | 0 | |a Structural Health Monitoring (SHM) of Civil Structures |
260 | |b MDPI - Multidisciplinary Digital Publishing Institute |c 2018 | ||
300 | |a 1 electronic resource (X, 490 p.) | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a At the current time of writing, the American Society of Civil Engineers (ASCE) has awarded American infrastructure a grade of D+, meaning poor and at risk. Part of the reason for the low grade is due to the rapid deterioration of structural integrity and the inability of most places to safely meet future demands. Deficiencies in these areas may be remediated by advancements in structural health monitoring (SHM) technologies that provide sensing systems to automatically and economically diagnose structural integrity. In a sense, SHM technologies will help pave the way to intelligent structures that are able to detect damage by themselves and even warn occupants of any danger due to impending structural failure. Engineering sensors and developing smart algorithms for SHM often involves the close collaboration of a surprisingly large breadth of specialties. In this book, we have collected a thin but representative slice of the most recent research in SHM, and hope that the reader will gain an inspiring view of today's research landscape and a notion of what is to come. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by-nc-nd/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-nc-nd/4.0/ | ||
546 | |a English | ||
653 | |a Bridges | ||
653 | |a Damage detection and characterization | ||
653 | |a Sensor development | ||
653 | |a Pipelines | ||
653 | |a Embedded sensors | ||
653 | |a Early warning | ||
653 | |a Structural health monitoring | ||
653 | |a Tunnels | ||
653 | |a Damage feature extraction algorithms | ||
856 | 4 | 0 | |a www.oapen.org |u http://www.mdpi.com/books/pdfview/book/589 |7 0 |z Get Fullteks |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/60144 |7 0 |z DOAB: description of the publication |