Spatially variable soils affecting geotechnical strip foundation design

作     者：Joanna Pieczyńska-Kozowska Giovanna Vessia Joanna Pieczyńska-Koz?owska;Giovanna Vessia

作者机构：Department of Civil EngineeringWrocław University of Science and TechnologyWrocław50-370Poland Department of Engineering and GeologyUniversitàdegli Studi G.d’Annunzio Chieti-PescaraChieti66100Italy 

出 版 物：《Journal of Rock Mechanics and Geotechnical Engineering》 (岩石力学与岩土工程学报（英文版）)

年 卷 期：2022年第14卷第3期

页      面：886-895页

核心收录：

学科分类：08[工学] 081401[工学-岩土工程] 0818[工学-地质资源与地质工程] 0814[工学-土木工程] 

主　　题：Bearing capacity Shallow foundation Random finite element method(RFEM) Ordinary kriging(OK) Soil property variability structure Reliability-based design 

摘      要：Natural soil variability is a well-known issue in geotechnical design,although not frequently managed in practice.When subsoil must be characterized in terms of mechanical properties for infrastructure design,random finite element method(RFEM)can be effectively adopted for shallow foundation design to gain a twofold purpose:(1)understanding how much the bearing capacity is affected by the spatial variability structure of soils,and(2)optimisation of the foundation dimension(i.***.width B).The present study focuses on calculating the bearing capacity of shallow foundations by RFEM in terms of undrained and drained conditions.The spatial variability structure of soil is characterized by the autocorrelation function and the scale of fluctuation(δ).The latter has been derived by geostatistical tools such as the ordinary Kriging(OK)approach based on 182 cone penetration tests(CPTs)performed in the alluvial plain in Bologna Province,Italy.Results show that the increase of the B/δratio not only reduces the bearing capacity uncertainty but also increases its mean value under drained conditions.Conversely,under the undrained condition,the autocorrelation function strongly affects the mean values of bearing capacity.Therefore,the authors advise caution when selecting the autocorrelation function model for describing the soil spatial variability structure and point out that undrained conditions are more affected by soil variability compared to the drained ones.