FKM-based clustering case retrieval of the high-rise building structural intelligent scheme design

Shihai Zhang; Shizhong Zhang; Shujun Liu; Jinping Ou

doi:10.4028/www.scientific.net/AMM.174-177.1748

FKM-based clustering case retrieval of the high-rise building structural intelligent scheme design

Shihai Zhang^*
, Shizhong Zhang^*
, Shujun Liu
, Jinping Ou

^*Corresponding author for this work

Nanyang Institute of Technology
Changshu Institute of Technology
Dalian University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Firstly, the disadvantage of the traditional "hard clustering" was analyzed; and the basic principles and algorithm steps of the fuzzy clustering was presented, it can express and process the class of objects which is not clearly in nature. Secondly, the theory and cluster analysis method is introduced to design high-rise structure; based on the fuzzy K-Means clustering analysis, the case retrieval method of the high-level structural intelligent design was established. Lastly, the example of engineering application was given in where the 26 projects data was used as the basis for the cluster and instance retrieval; the former 20 data is used to cluster and the last 4 data used to instance retrieval, the clustering member is k=4. Practice shows that the fuzzy k-means cluster analysis method is effective for the intelligent design of high-rise structure to obtain an instance, and opens up new ways and means for the high-rise building intelligent design.

Original language	English
Title of host publication	Advanced Building Materials and Sustainable Architecture
Pages	1748-1752
Number of pages	5
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.174-177.1748
State	Published - 2012
Externally published	Yes
Event	2nd International Conference on Civil Engineering, Architecture and Building Materials, CEABM 2012 - Yantai, China Duration: 25 May 2012 → 27 May 2012

Publication series

Name	Applied Mechanics and Materials
Volume	174-177
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Conference

Conference	2nd International Conference on Civil Engineering, Architecture and Building Materials, CEABM 2012
Country/Territory	China
City	Yantai
Period	25/05/12 → 27/05/12

Keywords

Case retrieval
Clustering analysis
Design of the structural intelligent scheme
Fuzzy k-means algorithm
High-rise building

Access to Document

10.4028/www.scientific.net/AMM.174-177.1748

Cite this

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title = "FKM-based clustering case retrieval of the high-rise building structural intelligent scheme design",

abstract = "Firstly, the disadvantage of the traditional {"}hard clustering{"} was analyzed; and the basic principles and algorithm steps of the fuzzy clustering was presented, it can express and process the class of objects which is not clearly in nature. Secondly, the theory and cluster analysis method is introduced to design high-rise structure; based on the fuzzy K-Means clustering analysis, the case retrieval method of the high-level structural intelligent design was established. Lastly, the example of engineering application was given in where the 26 projects data was used as the basis for the cluster and instance retrieval; the former 20 data is used to cluster and the last 4 data used to instance retrieval, the clustering member is k=4. Practice shows that the fuzzy k-means cluster analysis method is effective for the intelligent design of high-rise structure to obtain an instance, and opens up new ways and means for the high-rise building intelligent design.",

keywords = "Case retrieval, Clustering analysis, Design of the structural intelligent scheme, Fuzzy k-means algorithm, High-rise building",

author = "Shihai Zhang and Shizhong Zhang and Shujun Liu and Jinping Ou",

year = "2012",

doi = "10.4028/www.scientific.net/AMM.174-177.1748",

language = "英语",

isbn = "9783037854235",

series = "Applied Mechanics and Materials",

pages = "1748--1752",

booktitle = "Advanced Building Materials and Sustainable Architecture",

note = "2nd International Conference on Civil Engineering, Architecture and Building Materials, CEABM 2012 ; Conference date: 25-05-2012 Through 27-05-2012",

}

Zhang, S, Zhang, S, Liu, S & Ou, J 2012, FKM-based clustering case retrieval of the high-rise building structural intelligent scheme design. in Advanced Building Materials and Sustainable Architecture. Applied Mechanics and Materials, vol. 174-177, pp. 1748-1752, 2nd International Conference on Civil Engineering, Architecture and Building Materials, CEABM 2012, Yantai, China, 25/05/12. https://doi.org/10.4028/www.scientific.net/AMM.174-177.1748

FKM-based clustering case retrieval of the high-rise building structural intelligent scheme design. / Zhang, Shihai; Zhang, Shizhong; Liu, Shujun et al.
Advanced Building Materials and Sustainable Architecture. 2012. p. 1748-1752 (Applied Mechanics and Materials; Vol. 174-177).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - FKM-based clustering case retrieval of the high-rise building structural intelligent scheme design

AU - Zhang, Shihai

AU - Zhang, Shizhong

AU - Liu, Shujun

AU - Ou, Jinping

PY - 2012

Y1 - 2012

N2 - Firstly, the disadvantage of the traditional "hard clustering" was analyzed; and the basic principles and algorithm steps of the fuzzy clustering was presented, it can express and process the class of objects which is not clearly in nature. Secondly, the theory and cluster analysis method is introduced to design high-rise structure; based on the fuzzy K-Means clustering analysis, the case retrieval method of the high-level structural intelligent design was established. Lastly, the example of engineering application was given in where the 26 projects data was used as the basis for the cluster and instance retrieval; the former 20 data is used to cluster and the last 4 data used to instance retrieval, the clustering member is k=4. Practice shows that the fuzzy k-means cluster analysis method is effective for the intelligent design of high-rise structure to obtain an instance, and opens up new ways and means for the high-rise building intelligent design.

AB - Firstly, the disadvantage of the traditional "hard clustering" was analyzed; and the basic principles and algorithm steps of the fuzzy clustering was presented, it can express and process the class of objects which is not clearly in nature. Secondly, the theory and cluster analysis method is introduced to design high-rise structure; based on the fuzzy K-Means clustering analysis, the case retrieval method of the high-level structural intelligent design was established. Lastly, the example of engineering application was given in where the 26 projects data was used as the basis for the cluster and instance retrieval; the former 20 data is used to cluster and the last 4 data used to instance retrieval, the clustering member is k=4. Practice shows that the fuzzy k-means cluster analysis method is effective for the intelligent design of high-rise structure to obtain an instance, and opens up new ways and means for the high-rise building intelligent design.

KW - Case retrieval

KW - Clustering analysis

KW - Design of the structural intelligent scheme

KW - Fuzzy k-means algorithm

KW - High-rise building

UR - https://www.scopus.com/pages/publications/84861702370

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DO - 10.4028/www.scientific.net/AMM.174-177.1748

M3 - 会议稿件

AN - SCOPUS:84861702370

SN - 9783037854235

T3 - Applied Mechanics and Materials

SP - 1748

EP - 1752

BT - Advanced Building Materials and Sustainable Architecture

T2 - 2nd International Conference on Civil Engineering, Architecture and Building Materials, CEABM 2012

Y2 - 25 May 2012 through 27 May 2012

ER -

FKM-based clustering case retrieval of the high-rise building structural intelligent scheme design

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