Custom cover image
Custom cover image

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

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: [Erscheinungsort nicht ermittelbar] : Taylor & Francis : CRC Press [Imprint], 2025Description: 1 Online-Ressource (1 electronic resource 45 p.)ISBN:
  • 9781032579108
  • 9781032579917
Subject(s): Online resources: Summary: 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 studentsPPN: PPN: 1983965944Package identifier: Produktsigel: ZDB-94-OAB
No physical items for this record

Open Access. Unrestricted online access star

Namensnennung 4.0 International CC BY 4.0 cc:

https://creativecommons.org/licenses/by/4.0/

Anmerkungen zur Barrierefreiheit: Accessibility options of PDF file not available.

eng

KIT – The University in the Helmholtz Association                         Home | Legals | Privacy policy | KIT