Feedback and Sensitivity Analysis for Mass Data from Transverse Joints Monitoring System of Super Arch Dam in Sino Mainland

Ya Jun Wang; Zheng Zuo; Xin Jun Yan; Peng Wei Guo

doi:10.4028/www.scientific.net/AMR.663.198

Paper Titles

Investigation Analysis on Guangzhou Huangbu Village Conservation Plan and Situations after its Implementation
p.177

On the Planning and Construction of Wetland Park
p.185

Urban Form Developing Strategy Research of Medium and Small Towns in Western Sichuan Plain
p.190

County Town Planning under the Background of Strategic Planning – Taking Longshi Town in Longchang County of Sichuan Province for Example
p.194

Feedback and Sensitivity Analysis for Mass Data from Transverse Joints Monitoring System of Super Arch Dam in Sino Mainland
p.198

Modal Analysis on Xiluodu Arch Dam under Fuzzy Stochastic Damage Constitution
p.202

Steep Slope Arch Dam Block Reliability Based on Normal Opening of Rock-Concrete Joints
p.206

The Impact of Stairs on the Aseismic Properties of the Structure
p.210

Research on the Anchor of Inside-Soil-Opened Umbrella Type & Its Jacking Force
p.215

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 663Feedback and Sensitivity Analysis for Mass Data...

Feedback and Sensitivity Analysis for Mass Data from Transverse Joints Monitoring System of Super Arch Dam in Sino Mainland

Abstract:

The fuzzy cluster analysis for monitoring data, based on SOM neural network, was applied to study the working behaviors of transverse joints of the super arch dam during construction phase. The parental samples were identified with the classification results of fuzzy-cluster researches. Thereby, the Elman network was used to diagnose test samples. Introducing the transverse joints monitoring data from super arch dam as an example, the results show that the proposed method has superb applicability and stability in both of error analysis and diagnosis accuracy.