Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Enhanced fragility analysis of buried pipelines through Lasso regression
Buried pipelines are one of the critical lifeline structures, and recently, efforts have been directed toward their probabilistic risk assessment. This paper explores the fragility analysis of buried pipelines due to permanent fault displacement. Although several studies have been carried out for the fragility analysis of buried pipelines, they are conditioned only on one significant input parameter. Unlike previous studies, the fragility curves presented in this paper are multi-dimensional, i.e., conditioned on all the significant input parameters. The fragility curves are generated using a machine learning technique called Lasso regression. This paper also explores the relative importance of various uncertain parameters on the fragility estimates. The fragility analysis results suggest that the fault displacement and fault–pipe crossing angle are the most important parameters.
Enhanced fragility analysis of buried pipelines through Lasso regression
Buried pipelines are one of the critical lifeline structures, and recently, efforts have been directed toward their probabilistic risk assessment. This paper explores the fragility analysis of buried pipelines due to permanent fault displacement. Although several studies have been carried out for the fragility analysis of buried pipelines, they are conditioned only on one significant input parameter. Unlike previous studies, the fragility curves presented in this paper are multi-dimensional, i.e., conditioned on all the significant input parameters. The fragility curves are generated using a machine learning technique called Lasso regression. This paper also explores the relative importance of various uncertain parameters on the fragility estimates. The fragility analysis results suggest that the fault displacement and fault–pipe crossing angle are the most important parameters.
Enhanced fragility analysis of buried pipelines through Lasso regression
Acta Geotech.
Ni, Pengpeng (Autor:in) / Mangalathu, Sujith (Autor:in) / Liu, Kaiwen (Autor:in)
Acta Geotechnica ; 15 ; 471-487
01.02.2020
17 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Buried pipelines , Lasso regression , Multi-parameter fragility curves , Permanent fault displacement Engineering , Geoengineering, Foundations, Hydraulics , Solid Mechanics , Geotechnical Engineering & Applied Earth Sciences , Soil Science & Conservation , Soft and Granular Matter, Complex Fluids and Microfluidics
Enhanced fragility analysis of buried pipelines through Lasso regression
| Online Contents | 2018
Enhanced fragility analysis of buried pipelines through Lasso regression
| Springer Verlag | 2020
| BASE | 2019