نتایج جستجو برای: stochastic optimum design
تعداد نتایج: 1132009 فیلتر نتایج به سال:
راحتی سفر (ride comfort) در خودرو ها بستگی به احساس سرنشیان داخل وسیله نقلیه نسبت به ارتعاشات وارد شده بر خودرو دارد. ارتعاشات بدنه خودرو ناشی از عوامل گوناگونی مثل ناهمواری های سطح جاده، نیروهای آیرودینامیکی، ارتعاشات موتور و نابالانسی چرخ ها می تواند باشد[1].عموما ناهمواری های سطح جاده منبع اصلی ارتعاشات ایجاد شده بر روی وسیله نقلیه بوده و ضربه های اتفاقی ناشی از ناهمواری های جاده، خودرو را د...
Various methods have been used to economically design wastewater and stormwater collection systems. In this article, Discrete Differential Dynamic Programming (DDDP) which is a subsection of dynamic programming (DP) was used. For each pipe network, various alternatives such as depth and slope of pipe laying and various diameters could be considered to satisfy hydraulic and engineering constrain...
walnut is one of the important products in kerman province and baft town is the main area of walnut orchards. so the technical, allocative and economical efficiency of walnut farmers computed assign the degree of farmer’s success in the optimum allocation of their resources. at first the proper production function was estimated, and then stochastic frontier production and technical, efficie...
Sensitivity analysis (SA) is an important part in engineering design under the uncertainty to provide valuable information about the probabilistic characteristics of a response. In this paper, the variance-based methods and the cumulative distribution function (CDF)-based sensitivity coefficients were used in sensitivity analysis. The combination of sparse grid stochastic collocation (SC) and t...
Network Pricing Optimization is formulated first as a Network Design Problem where the design variables are tolls, the objective function is the Social Surplus and the equilibrium constraint is any current multi-user multimodal stochastic traffic assignment model with elastic demand up to trip generation and asymmetric arc cost function Jacobian. Network Pricing Optimization is then formulated ...
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