Chapter 10 The DINGO database of axial pile–load tests for the United Kingdom

Databases for Data-Centric Geotechnics forms a definitive reference and guide to databases in geotechnical and rock engineering, to enhance decision-making in geotechnical practice using data-driven methods. This second volume pertains to geotechnical structures. The opening chapter presents a subst...

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Autors principals:	Othman, Manar M., Voyagaki, Elia, Crispin, Jamie J., Ntassiou, Konstantina, Gilder, Charlotte, De Luca, Flavia, Mylonakis, George, Vardanega, Paul J.
Format:	Online
Idioma:	anglès
Publicat:	Taylor & Francis 2025
Matèries:	geotechnical risk,georisk,artificial neural networks,numerical modelling in geotechnics,numerical modelling of soils,ISSMGE TC 304 CPT,machine learning,VSPDB,Shear-Wave Velocity,Next Generation Liquefaction,Soil Profile Database,Deep Foundation Load Test Database,DFLTD,micropile and helical pile load,Databases to Interrogate Geotechnical Observations thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation thema EDItEUR::U Computing and Information Technology::UD Digital Lifestyle and online world: consumer and user guides::UDH E-book readers, tablets and other portable devices: consumer / user guides thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNC Structural engineering::TNCC Soil and rock mechanics
Accés en línia:	https://library.oapen.org/handle/20.500.12657/100669
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