Interpretation of dam deformation and leakage with boosted regression trees
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- 作者：Fernando Salazara ; fsalazar@cimne.upc.edu" class="auth_mail" title="E-mail the corresponding author ; Miguel Á ; . Toledob ; matoledo@caminos.upm.es" class="auth_mail" title="E-mail the corresponding author ; Eugenio Oñ ; atea ; onate@cimne.upc.edu" class="auth_mail" title="E-mail the corresponding author ; Benjamí ; n Suá ; reza ; benjamin.suarez@upc.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Machine learning ; Dam safety ; Dam monitoring ; Boosted regression trees
- 刊名：Engineering Structures
- 出版年：2016
- 出版时间：15 July 2016
- 年：2016
- 卷：119
- 期：Complete
- 页码：230-251
- 全文大小：22492 K
文摘
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Boosted regression trees were used to analyse dam monitoring data.
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An 100-m height double-curvature arch dam was considered as a case study.
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The models were interpreted and conclusions on dam behaviour were drawn.
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The evolution over time was clearly identified.