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A Computational Platform for the Assessment of Seismically-Induced Slope Displacements
A computational platform for the performance-based probabilistic assessment (PBPA) of seismically-induced slope displacements (D) is presented, which allows to estimate D hazard curves for a wide range of earth systems and natural slopes subjected to earthquakes in different tectonic settings. Procedures in the PBPA framework should be preferred in engineering practice, because they enable a hazard-consistent and rational seismic design. However, they are not commonly used in practice, because they are thought to be too cumbersome to be used in non-critical projects. The computational platform is developed as an object-oriented MATLAB GUI, and it features a variety of different seismic slope displacement models. It provides novel implementations for the full treatment of existing uncertainties (i.e., epistemic and aleatory) in the estimation of D hazard curves. In addition, the platform is fully integrated with state-of-the-art probabilistic seismic hazard assessment tools for one or multiple intensity measures, which allows its direct application in engineering practice. An illustrative example for the application of the platform in the context of an engineering project is presented.
A Computational Platform for the Assessment of Seismically-Induced Slope Displacements
A computational platform for the performance-based probabilistic assessment (PBPA) of seismically-induced slope displacements (D) is presented, which allows to estimate D hazard curves for a wide range of earth systems and natural slopes subjected to earthquakes in different tectonic settings. Procedures in the PBPA framework should be preferred in engineering practice, because they enable a hazard-consistent and rational seismic design. However, they are not commonly used in practice, because they are thought to be too cumbersome to be used in non-critical projects. The computational platform is developed as an object-oriented MATLAB GUI, and it features a variety of different seismic slope displacement models. It provides novel implementations for the full treatment of existing uncertainties (i.e., epistemic and aleatory) in the estimation of D hazard curves. In addition, the platform is fully integrated with state-of-the-art probabilistic seismic hazard assessment tools for one or multiple intensity measures, which allows its direct application in engineering practice. An illustrative example for the application of the platform in the context of an engineering project is presented.
A Computational Platform for the Assessment of Seismically-Induced Slope Displacements
Macedo, Jorge (Autor:in) / Candia, Gabriel (Autor:in) / Abrahamson, Norm (Autor:in)
Geo-Congress 2020 ; 2020 ; Minneapolis, Minnesota
Geo-Congress 2020 ; 231-239
21.02.2020
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
A Computational Platform for the Assessment of Seismically-Induced Slope Displacements
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