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International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP) (12th : 2015)
A clustering approach to identification of seismic building damage patterns for concrete structures Elwood, Emily D.; Corotis, Ross B.
Abstract
Within the field of earthquake engineering, there is a desire to identify observed trends of building damage in response to seismic events. Regional loss models, post-earthquake safety evaluations, and rapid screening of structures for potential seismic hazards all utilize “patterns” of expected building behavior in some form. Due to the intrinsic uncertainties in the prediction of earthquake events and building response to these events, the identification of building damage patterns is a complex problem. Further, virtually every building is unique in configuration and characterized by varying site conditions. This research paper presents a unique application of fuzzy set theory within the domain of fuzzy classification (fuzzy clustering) to investigate whether seismic building damage patterns, often expressed linguistically, can be identified from empirical data. Information used in the classification analysis consists of building damage data from the 1994 Northridge Earthquake for concrete structures.
Item Metadata
Title |
A clustering approach to identification of seismic building damage patterns for concrete structures
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Creator | |
Contributor | |
Date Issued |
2015-07
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Description |
Within the field of earthquake engineering, there is a desire to identify observed trends of
building damage in response to seismic events. Regional loss models, post-earthquake safety
evaluations, and rapid screening of structures for potential seismic hazards all utilize “patterns” of
expected building behavior in some form. Due to the intrinsic uncertainties in the prediction of
earthquake events and building response to these events, the identification of building damage patterns
is a complex problem. Further, virtually every building is unique in configuration and characterized by
varying site conditions. This research paper presents a unique application of fuzzy set theory within the
domain of fuzzy classification (fuzzy clustering) to investigate whether seismic building damage
patterns, often expressed linguistically, can be identified from empirical data. Information used in the
classification analysis consists of building damage data from the 1994 Northridge Earthquake for
concrete structures.
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Genre | |
Type | |
Language |
eng
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Notes |
This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.
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Date Available |
2015-05-15
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivs 2.5 Canada
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DOI |
10.14288/1.0076044
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URI | |
Affiliation | |
Citation |
Haukaas, T. (Ed.) (2015). Proceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP12), Vancouver, Canada, July 12-15.
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Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivs 2.5 Canada