Stochastic approach to assessing the impact area of the reconstructed facility on the surrounding development

Background. Acquiring popularity in global design and construction practice, stochastic approaches are actively used in geotechnical applications. These approaches take into account the uncertainty associated with the variability in the physical and mechanical properties of soils due to their heterogeneity.

Aim. To consider the application of a stochastic approach, taking into account the linear change in the total deformation modulus of base soils over the depth of compressible stratum, determined according to Terzaghi [13], for assessing the area of impact of the reconstructed facility on the surrounding development.

Materials and methods. The combination of random finite element method (RFEM) with the linear change in the total deformation modulus over the depth of compressible stratum takes into account spatial variability of soil properties, as well as predicts the occurrence of deformations. The depth of compressible stratum was determined according to Terzaghi in order to calculate the final settlement of the base [13]. The study was conducted using the example of a reconstructed facility in Moscow, Russian Federation. During the reconstruction, the load on base soils was increased.

Results. A comparison of the conventional calculation method and RFEM showed that the residential building is out of the impact area in both cases. However, significant differences were observed in the total deformation (final settlement) of the base, depending on the calculation method. In addition, the probability of exceeding the set value of total deformation was assessed using the stochastic approach.

Conclusion. The results of the work indicate the need to implement a stochastic approach in contemporary design practices along with enhancing the method for determining the depth of compressible stratum and taking into account the increase in the total deformation modulus over the depth for improving the reliability and efficiency of design decisions.

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