Flexible skin and continuous deformable control surface are the basic of adaptive wing technology for future aircraft. This paper presents a morphing trailing-edge its allocation method flying Unmanned Aerial Vehicle (UAV). Firstly, we apply Kriging to establish aerodynamic model trailing-edge, with initial sample points generated by non-uniform optimal Latin Hypercube Sampling (LHS). Then, bas...

Uncertainty has always been an important consideration when designing, analyzing and testing engineered systems, but computational investigations of the effects of uncertainty are only now beginning to become feasible. Often the limiting factor is the computational expense required to assess the influence of uncertainty on the system. This work provides an overview of techniques that seek to re...

Production planning of an open-pit mine is a procedure during which the rock blocks are assigned to different production periods in a way that leads to the highest net present value (NPV) subject to some operational and technical constraints. This process becomes much more complicated by incorporation of the uncertainty existing in the input parameters. The commodity price uncertainty is among ...

In this paper we explore hybrid parallel global optimization using DIRECT and asynchronous generating set search (GSS). Both DIRECT and GSS are derivative-free and so require only objective function values; this makes these methods applicable to a wide variety of science and engineering problems. DIRECT is a global search method that strategically divides the search space into ever-smaller rect...

A lot of work has documented the significance fluid flow uniformity on thermal-hydraulic performance microchannel heat sink (MCHS). The purpose this is to optimize shape inlet/outlet headers a MCHS improve distribution characteristics using back-propagation neural networks combined with genetic algorithm(GA-BP) as surrogate model. slanted edge inlet header defined quadratic parabola instead str...

Abstract Thermal spraying processes include complex nonlinear interdependencies among process parameters, in-flight particle properties and coating structure. Therefore, employing computer-aided methods is essential to quantify these relationships subsequently enhance the reproducibility. Typically, classic modeling approaches are pursued understand interactions. While able capture very systems...

In order to accurately analyze the load supply capability of power systems with high penetration renewable energy generation, this paper proposes a probabilistic available (ALSC) forecasting method. Firstly, optimal input features are selected by calculating maximal information coefficient (MIC) between and target output. Based on this, stacking ensemble learning model is applied for prediction...

Uncertainty and sensitivity analysis results obtained with random and Latin hypercube sampling are compared. The comparison uses results from a model for two-phase fluid flow obtained with three independent random samples of size 100 each and three independent Latin hypercube samples (LHSs) of size 100 each. Uncertainty and sensitivity analysis results with the two sampling procedures are simil...