Sentence examples for models for soil from inspiring English sources

Stress strain data from triaxial test are used to train and develop EPR-based material models for soil.

The prediction models for soil property mapping performed well, with overall RMSEP values of 10.6, 0.34, 9.1, and 6.5 for SOC, pH, sand, and sum of bases, respectively.

Good quality data sets that represent the survey area are important to develop quantitative spatial models for soil mapping and to evaluate their outputs.

Classification and regression trees were used to develop trend models for soil NO3 N predictions based on environmental correlation and predict values at the watershed scale.

While pedology has been debating the form of qualitative factorial models for 75 years; models for soil water, heat, solute, gas and chemical reactions in a profile have matured.

In spite of the development of more sophisticated constitutive models for soil, the Mohr Coulomb yield criterion remains a popular choice for geotechnical analysis due to its simplicity and ease of use by practising engineers.

The results are used to evaluate empirical channel models for soil-air communications.

The method may be useful in finite-element (FE) model updating applications where reference numerical models for soil-structure interaction are required.

As the experiments comprehend both loading and unloading cycles, the results provide a substantial database for confrontation of constitutive models for soil-chain interaction.

In this paper an approach is presented for developing material models for soils based on evolutionary polynomial regression (EPR), taking into account its volumetric behaviour.

The overall results of this study advocate the use of OPS approach with variable indicators and their combinations as a promising strategy to develop simple and effective DRS models for soils.