Application of Recursive Stochastic Subspace Identification in Structural Damage Localization
碩士 === 國立交通大學 === 土木工程系所 === 102 === This study integrates the Recursive Stochastic Subspace Identification (RSSI) with the method of state-space damage localization vector (DLV) for structural damage detection which in turn serves as the basis for the development of a real-time (on-line) structural...
Main Authors: | Chang, Chia-Che, 張佳哲 |
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Other Authors: | Wang, Yen-Po |
Format: | Others |
Language: | zh-TW |
Published: |
2014
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Online Access: | http://ndltd.ncl.edu.tw/handle/hvq58u |
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