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In this paper on the base of new mathematical model a software complex is developed for simulation and prediction of thermal processes in permafrost with presence of various engineering structures, which are sources of heat (cold). As a rule, these sources are production wells and other facilities located at oil and gas fields (in Russia 93% natural gas and 75% oil are produced in permafrost). The developed model and the software codes can be used for long-term forecasting of changes in permafrost and deep layer of freezing (thawing) of soil (active layer thickness - ALT), in depending only with the climatic conditions, as an input for the software, in particular, with average temperature and intensity of solar radiation. An essential feature of this method is "binding" by the original algorithm to a specific geographic location, as determined by latitude and longitude. The software is designed for multi-processor computer systems and will be adapted to the cloud technology. [ABSTRACT FROM AUTHOR]

Certifying a transport airplane for the flights under icing conditions requires calculations aimed at definition of the dimensions and shapes of the ice formed on the airplane surfaces. Up to date, software developed in Russia for simulation of ice accretion and authorized by Russian certifying supervisory authority, is absent. The paper describes methodology IceVision recently developed in Russia for calculations of ice accretion on airplane surfaces. This methodology is implemented in CFD software FlowVision used by numerous companies and universities in Russia and abroad. The methodology differs from known approaches to simulation of ice accretion. In particular, changing the ice shape is calculated with use of technology VOF. This technology assumes calculations of continuous ice growth accompanied by local rebuilding the computational mesh. The implemented mathematical model provides capability to simulate formation of rime (dry) and glaze (wet) ice. Numerical solutions of validation test problems performed using methodology IceVision are demonstrated. [ABSTRACT FROM AUTHOR]