Spatial geotechnical modeling of a lacustrine deposit using functional geostatistical analysis of CPTu tests

Abstract: A methodological framework for the construction of a geotechnical information spatial database or model based on statistical descriptions and the quantification of uncertainty is proposed. The framework overcomes limitations of classical random field descriptions by using a functional data analysis approach for the description and interpretation of data defined across depth. The proposed framework is shown to work naturally for the interpretation of cone penetration tests, while allowing for simultaneous interpretation of many kinds, and large volumes of geotechnical information. A case study in Bogotá is presented as an example of the methodological implementation. Results obtained with the proposed methodology show the capabilities and advantages of the method for the geotechnical practice. Particular attention is paid to the possible applications of the statistical description proposed to the development and improvement of risk-oriented urban planning in developing cities. The proposed method is intended as a complement to current interpretation techniques and as a way of improving the current geotechnical practice; it does not intend to replace soil exploration activities.

• Autores: Parra Gómez, Luis Jose
• Fecha de publicación: 2019
• Institución: Universidad Nacional de Colombia
• Repositorio: Universidad Nacional de Colombia
• Idioma: spa
• OAI Identifier: oai:repositorio.unal.edu.co:unal/77194
• Acceso en línea: https://repositorio.unal.edu.co/handle/unal/77194; http://bdigital.unal.edu.co/74720/
• Palabra clave: Geostatistical analysis; Functional data analysis; Cone penetration test CPTu; Geotechnical modeling; Análisis de datos funcionales; Análisis geoestadístico; Modelación geotécnica; Ensayo de penetración con cono CPTu
• Rights: openAccess
• License: Atribución-NoComercial 4.0 Internacional