The Next Generation Liquefaction (NGL) project has developed an online relational database of liquefaction case histories to support model development, which is available online at http://nextgenerationliquefaction.org/ [1] [2]. The NGL field testing database was recently expanded to include the results of laboratory testing programs because such results can inform aspects of liquefaction models that are poorly constrained by case histories alone. This paper describes the laboratory component of the NGL database including consolidation and shear testing. Shear testing is generally undrained and may involve, monotonic or cyclic loading using triaxial, or direct simple shear test equipment. Specimen data are organized by a schema describing tables, fields, and relationships among the tables. Information within the database is contained within tables, which contain fields (columns of information). The types of information available from a typical testing program that would be available in the laboratory component include stress, strain, and pore-pressure versus time as well as test type, pre-shear confining pressure, pre-shear deviatoric stress state, and others. Information uploaded to the database is reviewed by a database working group to verify consistency between uploaded data and source documents. The database is replicated in DesignSafe-CI [3] where users can write queries in Python scripts within Jupyter notebooks to interact with the data.

Laboratory component of next generation liquefaction database

P. Zimmaro;
2020

Abstract

The Next Generation Liquefaction (NGL) project has developed an online relational database of liquefaction case histories to support model development, which is available online at http://nextgenerationliquefaction.org/ [1] [2]. The NGL field testing database was recently expanded to include the results of laboratory testing programs because such results can inform aspects of liquefaction models that are poorly constrained by case histories alone. This paper describes the laboratory component of the NGL database including consolidation and shear testing. Shear testing is generally undrained and may involve, monotonic or cyclic loading using triaxial, or direct simple shear test equipment. Specimen data are organized by a schema describing tables, fields, and relationships among the tables. Information within the database is contained within tables, which contain fields (columns of information). The types of information available from a typical testing program that would be available in the laboratory component include stress, strain, and pore-pressure versus time as well as test type, pre-shear confining pressure, pre-shear deviatoric stress state, and others. Information uploaded to the database is reviewed by a database working group to verify consistency between uploaded data and source documents. The database is replicated in DesignSafe-CI [3] where users can write queries in Python scripts within Jupyter notebooks to interact with the data.
Soil Liquefaction, Next-Generation Liquefaction, Laboratory Test, Relational Database, Jupyter Notebook
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/308687
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