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High-head storage hydropower plants mainly operate their turbines during periods of high energy demand. The sudden starting and stopping of turbines (hydropeaking) lead to highly unsteady flow in channels and rivers. Besides hydropeaking, other anthropogen ...
We derive a hierarchy of PDEs for the leading-order evolution of wall-based quantities, such as the-skin-friction and the wall-pressure gradient, in two-dimensional fluid flows. The resulting Reduced Navier-Stokes (RNS) equations are defined on the boundar ...
Haemodynamics is believed to play an important role in the initiation, growth and rupture of intracranial aneurysms. In this context, computational haemodynamics has been extensively used in an effort to establish correlations between flow variables and cl ...
An analytical model is presented for the analysis of constant flux tests conducted in a phreatic aquifer having a partially penetrating well with a finite thickness skin. The solution is derived in the Laplace transform domain for the drawdown in the pumpi ...
In this paper, we seek similarity solutions to the shallow water (Saint-Venant) equations for describing the motion of a non-Boussinesq, gravity-driven current in an inertial regime. The current is supplied in fluid by a source placed at the inlet of a hor ...
Evaluation of aquifer yields with the conventional time- drawdown method is based on the assumption of Theisian or infinite radial flow (IRF) of ground water to a well. However, long-term aquifer yields are controlled by heterogeneities and boundary condit ...
The Laplace-transform solution for the problem of flow to horizontal drains in an anisotropic unconfined aquifer is derived. The solution for the constant flux horizontal- well by Zhan and Zlotnik [Zhan, H., Zlotnik, V.A., 2002. Groundwater flow to a horiz ...
Discrete optimization is a difficult task common to many different areas in modern research. This type of optimization refers to problems where solution elements can assume one of several discrete values. The most basic form of discrete optimization is bin ...
The paper is focused on decelerated swirling flow behavior as the upstream swirl intensity is increased. We define simplified flow model and boundary conditions in order to analyze the basic flow features. Numerical experiments are carried out for incompre ...
We explore using particle swarm optimization on problems with noisy performance evaluation, focusing on unsupervised robotic learning. We adapt a technique of overcoming noise used in genetic algorithms for use with particle swarm optimization, and evaluat ...
