Abstract
Random fields are models commonly used in civil engineering to describe spatial variability of material properties. A copula model is used in this paper to simulate random fields with non multi-Gaussian dependence. Simulations of several random fields are conducted following the proposed methodology and bivariate empirical copulas are then examined. Satisfactory results are obtained in terms of the reproduction of the corresponding theoretical copulas. By means of such simulator, it is possible to incorporate a higher degree of realism in the spatial variability model, for example in seepage flow problems wherein the presence of higher permeable continuous zones control the hydraulic behavior of the soil mass or in slope stability problems where the extension of failure surfaces may be controlled by the presence of weaker continuous zones, to mention only a few.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.