Vahdatirad, Mohammad Javad1; Griffiths, D. V.6; Andersen, Lars Vabbersgaard1; Sørensen, John Dalsgaard1; Fenton, G. A.6
1 Department of Civil Engineering, The Faculty of Engineering and Science, Aalborg University, VBN2 Division for Structures, Materials and Geotechnics, The Faculty of Engineering and Science, Aalborg University, VBN3 The Faculty of Engineering and Science (ENG), Aalborg University, VBN4 Geotechnical Engineering, The Faculty of Engineering and Science, Aalborg University, VBN5 Division of Water and Soil, The Faculty of Engineering and Science, Aalborg University, VBN6 unknown
a code-based design assessment
Deterministic code-based designs proposed for wind turbine foundations, are typically biased on the conservative side, and overestimate the probability of failure which can lead to higher than necessary construction cost. In this study reliability analysis of a gravity-based foundation concerning its bearing capacity, is used to calibrate a code-based design procedure. A probabilistic finite element model is developed to analyze the bearing capacity of a surface footing on soil with spatially variable undrained strength. Monte Carlo simulation is combined with a re-sampling simulation technique to perform the reliability analysis. The calibrated code-based design approach leads to savings of up to 20% in the concrete foundation volume, depending on the target annual reliability level. The study can form the basis for future optimization on deterministic-based designs for wind turbine foundations.
Geotechnique, 2014, Vol 64, Issue 8
Reliability analysis; Gravity-based foundation; Wind turbines; Calibrating code-based design; Bearing capacity; Random finite element modelling