Study on the Application of Data Mining in the Reliability Evaluation of Structures

Wei Bing Hu; Yan Fang Hou

doi:10.4028/www.scientific.net/AMR.243-249.5699

Paper Titles

Studies on Strain Fatigue Crack Growth Rate Controlled by Displacement or Load of 16MnR Steel
p.5680

The Corrected Method of Strength Design of Plain Bolt Group Joints under Combined Load of Transverse Force and Torque
p.5686

Discussing Chinese UHV Transmission Tower’s Reliability by Comparing Design Standards Home and Abroad
p.5690

Effectiveness of UHTCC to Retard Cover Expansive Cracking Due to Corrosion of Rebar in RC Structure
p.5694

Study on the Application of Data Mining in the Reliability Evaluation of Structures
p.5699

Influence on GGBS to Time Dependent Chloride Diffusion Coefficient of HPC
p.5703

Life-Time Index in Whole Structural Life-Cycle
p.5711

Discussion of Mathematical Models of Probabilistic Constraints Calculation in Reliability-Based Design Optimization
p.5717

Research on the Anti-Sulfate and Chlorine Corrosion Property of Concrete
p.5727

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Study on the Application of Data Mining in the Reliability Evaluation of Structures

Abstract:

This paper studies several factors that affect the reliability of established structures .The theory of Data Mining is introduced into this paper as a new method to study the evaluation of established structures. New information is ultimately mined from “Data Sea” filed up in existed structures. According to the Chinese Structure Code and engineering experience, the factors affecting the reliability of structures are properly qualified as input parameters. This paper mainly researches with engineering structural examples on the theory of fuzzy cluster, which belong to the field of Data Mining. According to the analysis of the methods， it is found that the method put forward in this paper is practicable, reliable and effective.