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The proposed research is focused on the theoretical, numerical and experimental study of particles clustering in the turbulent two-phase flow, with particular emphasis on realistic industrial or natural systems. Most models of particles clustering in the turbulent two-phase flow are based on nonlinear systems of ordinary or partial differential equations describing interaction between different phases as well as phase changes. Analysis of this phenomenon on the basis of the Eulear-Lagrangian approach is one of the most complex problems in two-phase flow theory and the lack of appropriate theoretical tools is well recognized. It is planned to develop an appropriate theory by including statistical methods for the study of these phenomena.In the framework of the proposed project, we intend to develop statistical methods for predicting of the particle-turbulence, particle-particle and particle-surface interactions in different environments; to compare results obtained by PDF, polyfractional and Lagrange statistical methods for prediction of main features of the phenomenon of preferential concentration (particle clustering) in particulate turbulent flows, and to validate the constructed models on the basis of experimental data from laboratory experiments and from in situ measurements. The suggested form of cooperation between theoreticians, experts in laboratory experiments (including researchers with experience in the using of the Eulear-Lagrangian approach) and marine scientists is expected to lead to an essential improvement of the understanding of the role of clustering phenomenon in both industrial and natural flows.The outcome of the proposed project can provide significant contributions in a variety of technological and environmental applications. |