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...

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Bibliographic Details
Main Authors: Chang, Chia-Che, 張佳哲
Other Authors: Wang, Yen-Po
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/hvq58u

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