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Databases for Data-Centric Geotechnics Geotechnical Structures

Phoon, Kok-Kwang

Databases for Data-Centric Geotechnics Geotechnical Structures - Taylor & Francis CRC Press [Imprint] 2025 - 1 online resource - Challenges in Geotechnical and Rock Engineering .

Free-to-read

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.


Open licence


eng

9781003441960 9781032579108 9781032579917

10.1201/9781003441960 doi


Civil engineering, surveying and building
Computer science
Computing and Information Technology
Digital Lifestyle and online world: consumer and user guides
E-book readers, tablets and other portable devices: consumer / user guides
Mathematical theory of computation
Soil and rock mechanics
Structural engineering
Technology, Engineering, Agriculture, Industrial processes

artificial neural networks Databases to Interrogate Geotechnical Observations Deep Foundation Load Test Database DFLTD georisk geotechnical risk ISSMGE TC 304 CPT machine learning micropile and helical pile load Next Generation Liquefaction numerical modelling in geotechnics numerical modelling of soils Shear-Wave Velocity Soil Profile Database VSPDB

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