Anaerobic digestion is a promising method of organic waste valorisation, particularly for fish farm waste, which has experienced high growth rate in recent years. The literature contains predictive mathematical models that have been developed by various authors, allowing the prediction composition bio-gas production from waste. In general, Monod’s kinetic expression basis describing enzymatic r...

In order to improve the fan noise, multi-objective optimization algorithm was implemented optimize blade structure. Firstly, theoretical model with flow rate and power of as objectives established verified; then, global sensitivity analysis method based on sobol' used obtain contributions each parameter performance by taking angle chord length parameters; finally, sensitive parameters are selec...

Little is known about the impact of the total cavopulmonary connection (TCPC) on resting and exercise hemodynamics in a single ventricle (SV) circulation. The aim of this study was to elucidate this mechanism using a lumped parameter model of the SV circulation. Pulmonary vascular resistance (1.96+/-0.80 WU) and systemic vascular resistances (18.4+/-7.2 WU) were obtained from catheterization da...

We define and study a generalization of Sobol sensitivity indices for the case of a vector output. To cite this article: F. Gamboa, A. Janon, T. Klein, A. Lagnoux, C. R. Acad. Sci. Paris, Ser. xx xxx (2013).

In this paper, we study the influence of an original airship design on its stability modes. Based verified model YEZ-2A airship, Sobol sensitivities are calculated to filter parameters. The hull length, slenderness ratio hull, exponent tail, fin installation position and half-span found be large influences all modes, whereas modes comparatively insensitive bow relative thickness. empirical form...

Resumo: In this study, we present the basic-concepts of ground-water hydraulic on stochastic media, whose the Theis equation is used in the transient movement of groundwater as result of pumping in a confined aquifer in saturated porous media under random parameters. A special importance is given on circumstances which requires a high-dimension stochastic to obtain a certain precision in probab...

Sensitivity analysis is a fundamental approach to identify the most significant and sensitive parameters, helping us to understand complex hydrological models, particularly for time-consuming distributed flood forecasting models based on complicated theory with numerous parameters. Based on Sobol’ method, this study compared the sensitivity and interactions of distributed flood forecasting mode...