25 research outputs found

    Generation a solution to the equations of elasticity theory for a layered strip basing on the principle of compressed mappings

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    A systematic presentation of the modified classical semi-inverse SaintVenant method as an iterative one is given on the example of generating a solution to the differential equations of elasticity theory for a long layered strip. The firstorder differential equations of the plane problem are reduced to the dimensionless form and replaced by integral equations with respect to the transverse coordinate, just as it is done in the Picard method of simple iterations. In this case, a small parameter appears in the integral equations before the integral sign as a multiplying factor, which is used to ensure convergence of solutions in accordance with the Banach’s principle of compressed mappings. The equations and elasticity relations are converted to a form that enables to calculate the unknowns consecutively, so that the unknowns being calculated in one equation are the inputs for the next equation, and etc. Fulfillment of the boundary conditions at the long edges leads to ordinary differential equations for slowly and rapidly changing singular components of the solution with sixteen effective stiffness coefficients that are defined by integrals from the given ones as a stepped function of Young's moduli for each layer. Integrating of these ordinary differential equations makes it possible to obtain the formulas for all the required unknowns of the problem, including transverse stresses that are not defined in the classical theory of the beam and solutions of the edge effect type, and to fulfill all the boundary conditions for the elasticity theory problem. The solution of three boundary value problems of the strip elasticity theory is provided such as for a two-layer strip with layers of the same thickness and different thicknesses, and a strip with an arbitrary number of layers. Formulas for all unknowns of the problem are obtained

    Lateral terrestrial water flow contribution to summer precipitation at continental scale – A comparison between Europe and West Africa with WRF‐Hydro‐tag ensembles

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    It is well accepted that summer precipitation can be altered by soil moisture condition. Coupled land surface – atmospheric models have been routinely used to quantify soil moisture – precipitation feedback processes. However, most of the land surface models (LSMs) assume a vertical soil water transport and neglect lateral terrestrial water flow at the surface and in the subsurface, which potentially reduces the realism of the simulated soil moisture – precipitation feedback. In this study, the contribution of lateral terrestrial water flow to summer precipitation is assessed in two different climatic regions, Europe and West Africa, for the period June–September 2008. A version of the coupled atmospheric-hydrological model WRF-Hydro with an option to tag and trace land surface evaporation in the modelled atmosphere, named WRF-Hydro-tag, is employed. An ensemble of 30 simulations with terrestrial routing and 30 simulations without terrestrial routing is generated with random realizations of turbulent energy with the stochastic kinetic energy backscatter scheme, for both Europe and West Africa. The ensemble size allows to extract random noise from continental-scale averaged modelled precipitation. It is found that lateral terrestrial water flow increases the relative contribution of land surface evaporation to precipitation by 3.6% in Europe and 5.6% in West Africa, which enhances a positive soil moisture – precipitation feedback and generates more uncertainty in modelled precipitation, as diagnosed by a slight increase in normalized ensemble spread. This study demonstrates the small but non-negligible contribution of lateral terrestrial water flow to precipitation at continental scale

    Variability and Changes of the Growing Season Length and Frost Days Number in Russian sub-Arctic

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    Observational data from the Russian sub-Arctic stations are used to investigate long-term variability of the growing season length (GSL) and the number of frost days (FD) in 1949-2013. Consistent with the global warming pattern we find a trend-like increase (decrease) of GSL (FD) which is evident since early 1970th of the last century. These trendlike changes are best pronounced at Western stations (i.e. in European Russia and western Siberia) and they are essentially smaller to the East. Although we find some significant links to regional teleconnections (such as Scandinavian, East Atlantic and West Pacific teleconnections), in general our results imply rather weak impact of large scale atmospheric dynamics on interannual variability of GSL and FD. Further analysis of correlations between GSL and FD on the one side and snow cover on the other side revealed generally stronger links to snow cover compared to teleconnections. However, revealed links to regional atmospheric teleconnections and snow cover are significantly impacted by the linear trends. In general, our results imply that compared to large scale atmospheric dynamics impacting interannual variability, snow cover (being a result of wintertime synoptic activity) plays a more important role in decadal-interdecadal variations of GSL and FD in Russian sub-Arctic, which may have some value regarding predictability of the summer climate in the region

    DETACHMENT OF ELEMENTARY STRESS-STRAIN STATESFROM ZERO CURVATURE SHELL EQUATIONS

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    A methodic of the approximate theory shell equations construction for the null curvature shell is presented. The two subsystems describing elementary stress-strain states with respect to the initial one are detached. The detachment of the principal terms in the every equation is made with the help of the simple iteration method. The weight coefficients for the every sought component of stress-strain state are determined in this way. The generalized half-membrane state equations are constructed and the end effect asymptotics are given. The elementary stress-strain states are constructed according to the found weight coefficients with the asymptotic integration method
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