The Next-Generation Liquefaction (NGL) project was launched to (1) substantially improve the quality, transparency, and accessibility of case history data related to ground failure; (2) provide a coordinated framework for supporting studies to augment case history data for conditions important for applications but poorly represented in empirical databases; and (3) provide an open, collaborative process for model development in which developer teams have access to common resources and share ideas and results during model development, so as to reduce the potential for mistakes and to mutually benefit from best practices. This approach is motivated in part by the success of the Next-Generation of Attenuation (NGA) models for ground motion prediction, which has followed this approach and has had substantial global buy-in and broad application. This project documents how users can access the NGL relational database (doi.org/10.21222/C2J040) using DesignSafe. The database is mirrored to DesignSafe, and users can query the database using Python scripts in Jupyter notebooks. These notebooks have been published in separate projects within DesignSafe to enable version control, and each of those projects is linked to this one through the "Associated Projects" feature. We anticipate that users will utilize these published notebooks as a starting point for developing their own notebooks for accessing the data.

Next Generation Liquefaction (NGL) Partner Dataset

Paolo Zimmaro;
2019

Abstract

The Next-Generation Liquefaction (NGL) project was launched to (1) substantially improve the quality, transparency, and accessibility of case history data related to ground failure; (2) provide a coordinated framework for supporting studies to augment case history data for conditions important for applications but poorly represented in empirical databases; and (3) provide an open, collaborative process for model development in which developer teams have access to common resources and share ideas and results during model development, so as to reduce the potential for mistakes and to mutually benefit from best practices. This approach is motivated in part by the success of the Next-Generation of Attenuation (NGA) models for ground motion prediction, which has followed this approach and has had substantial global buy-in and broad application. This project documents how users can access the NGL relational database (doi.org/10.21222/C2J040) using DesignSafe. The database is mirrored to DesignSafe, and users can query the database using Python scripts in Jupyter notebooks. These notebooks have been published in separate projects within DesignSafe to enable version control, and each of those projects is linked to this one through the "Associated Projects" feature. We anticipate that users will utilize these published notebooks as a starting point for developing their own notebooks for accessing the data.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.11770/335507
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