Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure Elements
This paper introduces binary recursive partitioning (BRP) as a method for estimating bridge deck deterioration and treats it as a classification and decision problem. The proposed BRP method is applied to the Indiana bridge inventory database containing 25 years of detailed information on approximat...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2009-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2009/809767 |
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| _version_ | 1832565083772813312 |
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| author | Mariza Pittou Matthew G. Karlaftis Zongzhi Li |
| author_facet | Mariza Pittou Matthew G. Karlaftis Zongzhi Li |
| author_sort | Mariza Pittou |
| collection | DOAJ |
| description | This paper introduces binary recursive partitioning (BRP) as a method for estimating bridge deck deterioration and treats it as a classification and decision problem. The proposed BRP method is applied to the Indiana bridge inventory database containing 25 years of detailed information on approximately 5,500 bridges on state-maintained highways. Classification trees are separately created for 4 and 2 prediction classes and relatively high degrees of success are achieved for deck condition prediction. The significant variables identified as the most influential include current deck condition and deck age. The proposed method offers an alternative nonparametric approach for bridge deck condition prediction and could be used for cross comparisons of models calibrated using the widely applied parametric approaches. |
| format | Article |
| id | doaj-art-2bba21e7f34d41929267a050bb5a4d97 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2009-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-2bba21e7f34d41929267a050bb5a4d972025-02-03T01:09:27ZengWileyAdvances in Civil Engineering1687-80861687-80942009-01-01200910.1155/2009/809767809767Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure ElementsMariza Pittou0Matthew G. Karlaftis1Zongzhi Li2School of Civil Engineering, National Technical University of Athens, 5 Iroon Polytechniou Str., Zografou Campus, 157 73 Athens, GreeceSchool of Civil Engineering, National Technical University of Athens, 5 Iroon Polytechniou Str., Zografou Campus, 157 73 Athens, GreeceDepartment of Civil, Architectural and Environmental Engineering, Illinois Institute of Technology, 3201 South Dearborn Street, Chicago, IL 60616, USAThis paper introduces binary recursive partitioning (BRP) as a method for estimating bridge deck deterioration and treats it as a classification and decision problem. The proposed BRP method is applied to the Indiana bridge inventory database containing 25 years of detailed information on approximately 5,500 bridges on state-maintained highways. Classification trees are separately created for 4 and 2 prediction classes and relatively high degrees of success are achieved for deck condition prediction. The significant variables identified as the most influential include current deck condition and deck age. The proposed method offers an alternative nonparametric approach for bridge deck condition prediction and could be used for cross comparisons of models calibrated using the widely applied parametric approaches.http://dx.doi.org/10.1155/2009/809767 |
| spellingShingle | Mariza Pittou Matthew G. Karlaftis Zongzhi Li Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure Elements Advances in Civil Engineering |
| title | Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure Elements |
| title_full | Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure Elements |
| title_fullStr | Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure Elements |
| title_full_unstemmed | Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure Elements |
| title_short | Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure Elements |
| title_sort | nonparametric binary recursive partitioning for deterioration prediction of infrastructure elements |
| url | http://dx.doi.org/10.1155/2009/809767 |
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