This paper delivers a probabilistic attempt to prove that the selection of a random three-dimensional finite element (FE) model of a subsoil affects the computed settlements. Parametricanalysis of a random soil block is conducted, assuming a variable subsoil Young’s modulus inparticular finite elements. The modulus is represented by a random field or different-sized setsof random variables; in both cases, the same truncated Gaussian model is assumed. Mean valuesand standard deviations of random soil settlement are estimated by a Monte Carlo simulationprocedure. With regard to the adopted FE model, the estimated settlement mean values do notvary significantly, but standard deviations do strongly. Similarities also appear in the diagrams ofrandom field correlation length versus settlement standard deviation and the diagrams displayinga total number of model random variables versus settlement standard deviation. Thus, relevantsingle random variable models represent the random field approach well with regard to settlementparameter estimation. This remark is verified upon a settlement analysis of a three-dimensional FEmodel of a hypothetical strip foundation. Following the preliminary model observations, variousprobabilistic geotechnical analyses may be supported, e.g., continuous footing design, slope stabilityanalysis, and foundation reliability assessment.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.3390/app11167293
- Category
- Publikacja w czasopiśmie
- Type
- artykuły w czasopismach
- Language
- angielski
- Publication year
- 2021
