| 000 | 02460naaaa2200361uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/60144 | ||
| 005 | 20220219213924.0 | ||
| 020 | _a9783038427841 | ||
| 020 | _a9783038427834 | ||
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 100 | 1 |
_aChuji Wang (Ed.) _4auth |
|
| 700 | 1 |
_aBo Wang (Ed.) _4auth |
|
| 700 | 1 |
_aGangbing Song (Ed.) _4auth |
|
| 245 | 1 | 0 | _aStructural Health Monitoring (SHM) of Civil Structures |
| 260 |
_bMDPI - Multidisciplinary Digital Publishing Institute _c2018 |
||
| 300 | _a1 electronic resource (X, 490 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aAt 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 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by-nc-nd/4.0/ _2cc _4https://creativecommons.org/licenses/by-nc-nd/4.0/ |
||
| 546 | _aEnglish | ||
| 653 | _aBridges | ||
| 653 | _aDamage detection and characterization | ||
| 653 | _aSensor development | ||
| 653 | _aPipelines | ||
| 653 | _aEmbedded sensors | ||
| 653 | _aEarly warning | ||
| 653 | _aStructural health monitoring | ||
| 653 | _aTunnels | ||
| 653 | _aDamage feature extraction algorithms | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttp://www.mdpi.com/books/pdfview/book/589 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/60144 _70 _zDOAB: description of the publication |
| 999 |
_c45472 _d45472 |
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