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A novel method of searching appropriate ranges of base isolation design parameters through entropy‐based classification
Author(s) -
Huang Pei Chiung,
Wan Shiuan,
Yen Jia Yih
Publication year - 2009
Publication title -
structural control and health monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.587
H-Index - 62
eISSN - 1545-2263
pISSN - 1545-2255
DOI - 10.1002/stc.259
Subject(s) - parametric statistics , base isolation , data mining , entropy (arrow of time) , engineering , base (topology) , computer science , mathematics , statistics , telecommunications , mathematical analysis , physics , frame (networking) , quantum mechanics
This paper proposes an idea of selecting the proper ranges of design parameters for modifying the responses of base‐isolated systems. Parametric analysis of base isolation designs on seismic protection is generally achieved through multiple adjustments of system parameters based on the observations of system responses, but applying such procedures is very time consuming. If the ranges of inputs (design parameters) could be reasonably estimated earlier to obtain suitable outputs (structural responses), then the computational efforts could be reduced. This study generates limited design cases to analyze the relationships between designs and system responses. Specifically, the Shannon entropy, a Data Mining method, can be used to classify the proper and improper ranges of design parameters. A case study on the lead rubber bearing base‐isolated machinery located at Central Science Park in Taiwan subjected to several records of Chi‐Chi earthquake from different stations is presented. Entropy‐based classification is applied in the case study and the practicability of the analyzed result is verified. Copyright © 2008 John Wiley & Sons, Ltd.