A four-function principle was proposed for the optimization design of green high performance massive concrete（GHPMC）based on the theory of value engineering and the adiabatic temperature change control.A set of conc...A four-function principle was proposed for the optimization design of green high performance massive concrete（GHPMC）based on the theory of value engineering and the adiabatic temperature change control.A set of concrete formulas were designed according to the orthogonal experiment.The experimental results were analyzed by applying the variance analysis method to find out the effects of influential factors and determine the optimum mixture formula.In addition,the four-function principle was successfully applied to optimize the mixture formula in field massive concrete engineering.The practical results show the adiabatic temperature change of massive concrete could be efficiently controlled,and the excellent durability,good workability and high compressive strength could be achieved.展开更多
In this article, we study the impacts of nonlinearity and dispersion on signals likely to propagate in the context of the dynamics of four-wave mixing. Thus, we use an indirect resolution technique based on the use of...In this article, we study the impacts of nonlinearity and dispersion on signals likely to propagate in the context of the dynamics of four-wave mixing. Thus, we use an indirect resolution technique based on the use of the iB-function to first decouple the nonlinear partial differential equations that govern the propagation dynamics in this case, and subsequently solve them to propose some prototype solutions. These analytical solutions have been obtained;we check the impact of nonlinearity and dispersion. The interest of this work lies not only in the resolution of the partial differential equations that govern the dynamics of wave propagation in this case since these equations not at all easy to integrate analytically and their analytical solutions are very rare, in other words, we propose analytically the solutions of the nonlinear coupled partial differential equations which govern the dynamics of four-wave mixing in optical fibers. Beyond the physical interest of this work, there is also an appreciable mathematical interest.展开更多
文摘A four-function principle was proposed for the optimization design of green high performance massive concrete（GHPMC）based on the theory of value engineering and the adiabatic temperature change control.A set of concrete formulas were designed according to the orthogonal experiment.The experimental results were analyzed by applying the variance analysis method to find out the effects of influential factors and determine the optimum mixture formula.In addition,the four-function principle was successfully applied to optimize the mixture formula in field massive concrete engineering.The practical results show the adiabatic temperature change of massive concrete could be efficiently controlled,and the excellent durability,good workability and high compressive strength could be achieved.
文摘In this article, we study the impacts of nonlinearity and dispersion on signals likely to propagate in the context of the dynamics of four-wave mixing. Thus, we use an indirect resolution technique based on the use of the iB-function to first decouple the nonlinear partial differential equations that govern the propagation dynamics in this case, and subsequently solve them to propose some prototype solutions. These analytical solutions have been obtained;we check the impact of nonlinearity and dispersion. The interest of this work lies not only in the resolution of the partial differential equations that govern the dynamics of wave propagation in this case since these equations not at all easy to integrate analytically and their analytical solutions are very rare, in other words, we propose analytically the solutions of the nonlinear coupled partial differential equations which govern the dynamics of four-wave mixing in optical fibers. Beyond the physical interest of this work, there is also an appreciable mathematical interest.
