Evident and essential non-linearity of soil deformation, as well as complex natural genesis of soil massifs, which results in non-reproducibility of the natural stress state of soils in the laboratory conditions, require the development of methods for determining the parameters of the non-linear deformation of soils from in-situ test data. In this case, in a view of the complexity of the determining mechanical relationships of soils and statistical spread of values measured in the test, the problem is reduced to the solution of the so-called inverse ill-posed problem characterized by the instability of the solution. Such problems require the use of regularization method, taking into account specific features of the problem, adopting of which makes it possible to create a stable procedure for obtaining correct solution. The article discusses the features of deformation of soils, as well as the existence and the uniqueness of the solution of the problem of determining the parameters of the phenomenological non-linear soil model of Botkin from in-situ test data. Some results characterizing the proposed method are presented, convenient devices and software for implementing the method are recommended. One of the most effective methods of in-situ tests using two-dimensional non-linear problem for data analysis is the pressuremeter method, characterized by wide range of applications in various geological conditions. In this case also, to the contrast of linear models, such subjective moments in analyses of results, as the assignment of linear part of the deformation curve and the use of the tabulated Poisson coefficient are excluded. Described in the article general way, actually consisting in separate determination of nonlinear model parameters, can be applied for the development of similar methods in the case of other, more complicated models.
|投稿的翻译标题||EFFECTIVE METHOD OF DETERMINING THE PARAMETERS OF THE NON-LINEAR SOIL MODEL FROM IN-SITU TEST DATA|
|期刊||Вестник Пермского национального исследовательского политехнического университета. Строительство и архитектура|
|州||Published - 2017|
Level of Research Output
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