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On model updating of existing structures utilizing measured dynamic responses
Life-cycle performance evaluation of structures relies heavily on the usability of measured data. Typically, measurements are utilized to update the state of knowledge about a structure. This usually leads to a system identification problem. Due to the ill-conditionedness of inverse problems, the actual value of the obtained data may be severely reduced. Selective sensitivity provides a methodology to improve the condition of the inverse problems by transforming the original (large) problem into a sequence of smaller ones. The paper discusses this concept and develops a novel alternative concept for the development of selectively sensitive excitations, which does not require precise knowledge of the system parameters.
On model updating of existing structures utilizing measured dynamic responses
Life-cycle performance evaluation of structures relies heavily on the usability of measured data. Typically, measurements are utilized to update the state of knowledge about a structure. This usually leads to a system identification problem. Due to the ill-conditionedness of inverse problems, the actual value of the obtained data may be severely reduced. Selective sensitivity provides a methodology to improve the condition of the inverse problems by transforming the original (large) problem into a sequence of smaller ones. The paper discusses this concept and develops a novel alternative concept for the development of selectively sensitive excitations, which does not require precise knowledge of the system parameters.
On model updating of existing structures utilizing measured dynamic responses
Bucher, Christian (author) / Pham, Hoang Anh (author)
Structure and Infrastructure Engineering ; 1 ; 135-143
2005-06-01
9 pages
Article (Journal)
Electronic Resource
Unknown
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