Databases for Data-Centric Geotechnics
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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| Materialtyp: | Online |
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| Språk: | engelska |
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Taylor & Francis
2025
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| Länkar: | https://library.oapen.org/handle/20.500.12657/100668 |
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| collection | Directory of Open Access Books |
| description | 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 substantial survey of performance databases and the effectiveness of our prediction models in matching the field measurements in these databases, based on (1) full-scale field tests, (2) 39 prediction exercises organized as a part of international conferences, and (3) comparison between numerical analyses and in-situ or field measurements conducted by the French LCPC. The focus is on the evaluation of the statistical degree of confidence in predicting various of quantities of interest such as capacity and deformation. The following 18 chapters then present databases on the performance of shallow foundations, spudcan foundations, deep foundations, anchors and pipelines, retaining systems and excavations, and landslides. The databases were compiled from studies undertaken in many countries such as Australia, Belgium, Bolivia, Brazil, Canada, China, Egypt, France, Germany, Hungary, Iran, Ireland, Japan, Kenya, Malaysia, Netherlands, Norway, Poland, Portugal, South Africa, the United Kingdom and the United States.
This volume on geotechnical structures is a companion to the volume on site characterization. Databases for Data-Centric Geotechnics represents the most diverse and comprehensive assembly of database research in a single publication (consisting of two volumes) to date. It follows from Model Uncertainties for Foundation Design, also published by CRC Press, and suits specialist geotechnical engineers, researchers and graduate students. |
| format | Online |
| id | doab-20.500.12854ir-158222 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1582222025-07-29T14:52:16Z Databases for Data-Centric Geotechnics Tang, Chong Phoon, Kok-Kwang 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 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 substantial survey of performance databases and the effectiveness of our prediction models in matching the field measurements in these databases, based on (1) full-scale field tests, (2) 39 prediction exercises organized as a part of international conferences, and (3) comparison between numerical analyses and in-situ or field measurements conducted by the French LCPC. The focus is on the evaluation of the statistical degree of confidence in predicting various of quantities of interest such as capacity and deformation. The following 18 chapters then present databases on the performance of shallow foundations, spudcan foundations, deep foundations, anchors and pipelines, retaining systems and excavations, and landslides. The databases were compiled from studies undertaken in many countries such as Australia, Belgium, Bolivia, Brazil, Canada, China, Egypt, France, Germany, Hungary, Iran, Ireland, Japan, Kenya, Malaysia, Netherlands, Norway, Poland, Portugal, South Africa, the United Kingdom and the United States. This volume on geotechnical structures is a companion to the volume on site characterization. Databases for Data-Centric Geotechnics represents the most diverse and comprehensive assembly of database research in a single publication (consisting of two volumes) to date. It follows from Model Uncertainties for Foundation Design, also published by CRC Press, and suits specialist geotechnical engineers, researchers and graduate students. 2025-04-09T04:07:32Z 2025-04-09T04:07:32Z 2025-04-08T12:47:20Z 2025 book https://library.oapen.org/handle/20.500.12657/100668 9781003441960 9781032579108 9781032579917 https://directory.doabooks.org/handle/20.500.12854/158222 eng Challenges in Geotechnical and Rock Engineering open access Taylor & Francis CRC Press 10.1201/9781003441960 10.1201/9781003441960 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 Chapter 10 The DINGO database of axial pile–load tests for the United Kingdom Chapter 6 New laboratory database of hydraulic conductivity measurements on fine-grained soils 9781003441960 9781032579108 9781032579917 CRC Press open access |
| spellingShingle | 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 Databases for Data-Centric Geotechnics |
| title | Databases for Data-Centric Geotechnics |
| title_full | Databases for Data-Centric Geotechnics |
| title_fullStr | Databases for Data-Centric Geotechnics |
| title_full_unstemmed | Databases for Data-Centric Geotechnics |
| title_short | Databases for Data-Centric Geotechnics |
| title_sort | databases for data centric geotechnics |
| topic | 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 |
| topic_facet | 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 |
| url | https://library.oapen.org/handle/20.500.12657/100668 |