1. Motivation and objectives We develop flow modeling and optimization techniques using biologically inspired algorithms such as neural networks and evolution strategies. The applications presented herein encompass a variety of problems such as cylinder drag minimization, neural net modeling of the near wall structures, enhanced jet mixing, and parameter optimization in turbine blade film cooli...

In the past, wind towers were applied as the main architectural part of building construction in the desert areas of Iran. These almost high structures were used as cooling load suppliers at residential buildings. In the present study, the effect of symmetric four-sided wind tower in flow induction to the bottom space has been analysed by using a wind tunnel and numerical simulations. In the nu...

in this study a machine learning algorithm was applied in order to develop a predictive model for the changes in phytoplankton biomass (chlorophyll a) in the lower nakdong river, south korea. we used a “hybrid evolutionary algorithm (hea)” which generated model consists of three functions ‘if-thenelse’ on the basis of a 15-year, weekly monitored ecological database. we used the average ...

this paper proposes an optimal power flow (opf) algorithm by direct load control (dlc) programs to optimize the operational cost of smart grids considering various scenarios based on different constraints. the cost function includes active power production cost of available power sources and a novel flexible load curtailment cost associated with dlc programs. the load curtailment cost is based ...

Measurement of discharge in open channels is one of the main concerns in hydraulic engineering. The structures used for this aim should be accurate, economical and easy to use. Weirs are among the oldest and most convenient hydraulic structures that have been used in both laboratory and field for flow measurement in open channels. Due to limitations of simple sharp crested weirs, recently compo...

In this work, analytical solutions are provided to the nonlinear equations arising in thermal and flow-induced vibration in fluid-conveying structures using Galerkin-differential transformation method with cosine aftertreatment technique. From the analysis, it was established that increase of the length and aspect ratio of the fluid-conveying structures result in decrease the nonlinear vibratio...

This thesis develops a demand driven solver for constraint based control flow analysis. Our approach is modular, flow-sensitive and scaling. It allows to efficiently construct the interprocedural control flow graph (ICFG) for object-oriented languages. The analysis is based on the formal semantics of a Java-like language. It is proven to be correct with respect to this semantics. The base algor...