TY - GEN
T1 - Optimal placement of sensors for structural health monitoring
AU - Liu, P.
AU - Liu, H. J.
AU - Teng, J.
AU - Cao, T. Y.
PY - 2006
Y1 - 2006
N2 - The optimal placement of sensors for health monitoring of civil engineering structures is very important, especially for lots of sensors. Based on genetic algorithms, a method is developed for the optimal sensor placement for health monitoring. Structural analysis indicates that results of the genetic algorithms are perfect on optimal placement for health monitoring. A survey on the development on the optimal placement of sensors for health monitoring is given in this paper. The performance function is development based on the maximization of energy. The problem can be expressed as a nonlinear optimization problem with constraints. According to its characteristic, a genetic algorithm is put forward, which can produce a global-optimal solution for this problem. A collocated cantilever beam example and a box structure are studied to demonstrate presented approach, and the obtained results are very satisfied. It is concluded that optimum is achieved successfully by using the genetic algorithms with less calculation.
AB - The optimal placement of sensors for health monitoring of civil engineering structures is very important, especially for lots of sensors. Based on genetic algorithms, a method is developed for the optimal sensor placement for health monitoring. Structural analysis indicates that results of the genetic algorithms are perfect on optimal placement for health monitoring. A survey on the development on the optimal placement of sensors for health monitoring is given in this paper. The performance function is development based on the maximization of energy. The problem can be expressed as a nonlinear optimization problem with constraints. According to its characteristic, a genetic algorithm is put forward, which can produce a global-optimal solution for this problem. A collocated cantilever beam example and a box structure are studied to demonstrate presented approach, and the obtained results are very satisfied. It is concluded that optimum is achieved successfully by using the genetic algorithms with less calculation.
UR - https://www.scopus.com/pages/publications/84890670700
M3 - 会议稿件
AN - SCOPUS:84890670700
SN - 0415396514
SN - 9780415396516
T3 - Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 2nd International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2005
SP - 985
EP - 989
BT - Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 2nd International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2005
T2 - 2nd International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2005
Y2 - 16 November 2005 through 18 November 2005
ER -