INFORMATION ENTROPY-BASED OPTIMAL SENSOR CONFIGURATION FOR CONTINUOUS-COORDINATE STRUCTURES
For works related to the sensor placement problem in the literature,the generally used discrete-coordinate systems modeled by the finite element (FE) can only approximate their actual dynamic behavior,and the sensors are confined to be put only on discrete nodes corresponding to the coarse mesh scheme usually employed.An optimal sensor placement methodology for the continuous-coordinate structures with typical distributed-parameter properties has been proposed by the authors to minimize the uncertainties associated with the identified structural modeling parameters,where the information entropy is employed as a measure to quantify the uncertainty.The optimal sensor configuration is obtained by minimizing the information entropy through a continuous optimization procedure.However,in the obtained optimal configuration results for the continuous-coordinate structures,some sensors tend to be infinitely close to each other,and the main purpose of this paper to introduce an effective approach to overcome this drawback.
Optimal sensor configuration structural model updating bayesian statistical identification framework information entropy genetic algorithm
Tao Yin Dianqing Li Hongping Zhu
School of Civil & Architectural Engineering, Wuhan University, Wuhan 430072, P.R.China State Key Laboratory of Water Resources & Hydropower Engineering Science, Wuhan University, Wuhan 43 School of Civil Engineering & Mechanics, Huazhong University of Science and Technology, Wuhan 430074
国际会议
The Twelfth International Symposium on Structural Engineering (第十二届结构工程国际研讨会)
武汉
英文
609-615
2012-11-17（万方平台首次上网日期，不代表论文的发表时间）