TY - GEN
T1 - Controlled substructure identification of shear structure with virtual control system
AU - Zhang, Dongyu
AU - Li, Hui
PY - 2017
Y1 - 2017
N2 - Substructure identification is a powerful tool to identify the parameters of a complex structure. Previously, the authors have developed an inductive substructure identification method for shear structures. However, it was found that the identification accuracy of this method is significantly influenced by certain characteristics of structural responses and, thus, it may not be able to always provide accurate estimation results. To solve this problem, a self-balanced virtual control system (VCS) is introduced into the structure, converting the original substructure identification to a controlled substructure identification problem. By optimally tuning the parameters of the VCS, the dynamic characteristics of the controlled structure can be changed and, thus, the goal of improving substructure identification accuracy is achieved. Finally, a numerical example of 6-story shear structure is utilized to effectiveness of the VCS based controlled substructure identification method.
AB - Substructure identification is a powerful tool to identify the parameters of a complex structure. Previously, the authors have developed an inductive substructure identification method for shear structures. However, it was found that the identification accuracy of this method is significantly influenced by certain characteristics of structural responses and, thus, it may not be able to always provide accurate estimation results. To solve this problem, a self-balanced virtual control system (VCS) is introduced into the structure, converting the original substructure identification to a controlled substructure identification problem. By optimally tuning the parameters of the VCS, the dynamic characteristics of the controlled structure can be changed and, thus, the goal of improving substructure identification accuracy is achieved. Finally, a numerical example of 6-story shear structure is utilized to effectiveness of the VCS based controlled substructure identification method.
UR - https://www.scopus.com/pages/publications/85032444483
U2 - 10.12783/shm2017/13967
DO - 10.12783/shm2017/13967
M3 - 会议稿件
AN - SCOPUS:85032444483
T3 - Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017
SP - 1041
EP - 1048
BT - Structural Health Monitoring 2017
A2 - Chang, Fu-Kuo
A2 - Kopsaftopoulos, Fotis
PB - DEStech Publications
T2 - 11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017
Y2 - 12 September 2017 through 14 September 2017
ER -