Linearized Modeling Technique for Complex Dynamic Responses Using Proper Orthogonal Decomposition

적합직교분해법을 이용한 복잡한 동적응답의 선형화 모델링 기법

Proper orthogonal decomposition is a statistical pattern analysis technique for finding the dominant components, called the proper orthogonal modes, in ensembles of spatially distributed data. We present recent ideas based on proper orthogonal decomposition (POD) and detailed experiments that yield new perspectives into the microscale structures. The linearized modeling technique based on POD is very useful to show the principal characteristics of the complex dynamic responses.