Abstract We investigate the use of density-based topology optimization for aeroelastic design very flexible wings. This is achieved with a Reynolds-averaged Navier–Stokes finite volume solver, coupled to geometrically nonlinear element structural simulate large-displacement fluid-structure interaction. A gradient-based approach used derivatives obtained via adjoint solver based on algorithmic d...

Coordinating nationwide air traffic flow is a large-scale problem. Themodeling process generally involves analysis of massive flight data, and its optimization involves computationally expensive algorithms. This paper uses Hadoop MapReduce, a big data processing model, to facilitate air traffic flow modeling and optimization, where computationally intensive tasks are automatically spread to Had...

1. Abstract Complex and computationally intensive modeling and simulation of real-world engineering systems can include a large number of design variables in the optimization of such systems. Consequently, it is desirable to conduct variable screening to identify significant or active variables so that a simpler, more efficient, and accurate optimization process can be achieved. This paper empl...

This paper considers the design and optimization of thermal systems on the basis of the mathematical and numerical modeling of the system. Many complexities are often encountered in practical thermal processes and systems, making the modeling challenging and involved. These include property variations, complicated regions, combined transport mechanisms, chemical reactions, and intricate boundar...

To address the problem of insufficient coverage WSN and poor network in obstacle environments, study proposes an improved particle swarm optimization (PSO) combined with a hybrid grey wolf algorithm. The speed position PSO particle's search for superiority are enhanced through guiding nature superior (GWO), thus convergence precision improved. Based on this, applies to wireless sensor networks ...

The evolution of our physics-based computational methods for determining protein conformation without the introduction of secondary-structure predictions, homology modeling, threading, or fragment coupling is described. Initial use of a hard-sphere potential captured much of the structural properties of polypeptide chains, and subsequent more refined force fields, together with efficient method...