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English | 2024 | ISBN: 3031497902 | 448 Pages | PDF EPUB (True) | 145 MB
This book publishes the work presented at the 1st Olympiad in Engineering Science (OES 2023), an international congress and contest aiming to disseminate and evaluate the recent advances in Engineering Science. The book covers diverse domains of engineering. From Machine Learning applications in Thrust Bearings' behavior to Optimization Techniques for space applications, each chapter presents innovative solutions to complex challenges. The Automatic Control section explores distributed intelligence in watercraft and supervisory control for manufacturing systems. In Data-Driven Engineering, simulations assess pedestrian comfort and model reconstruction. The Diagnostic-Prognostic Methods section delves into unbalance identification and steel truss bridge validation. Finally, Numerical and Analytical Methods in Engineering Mathematics cover everything from boundary integral methods to analytical solutions for fluid flows.

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2015 | 221 Pages | ISBN: 161197402X | PDF | 23 MB
Adapted from a series of lectures given by the authors, this monograph focuses on radial basis functions (RBFs), a powerful numerical methodology for solving PDEs to high accuracy in any number of dimensions. This method applies to problems across a wide range of PDEs arising in fluid mechanics, wave motions, astro- and geosciences, mathematical biology, and other areas and has lately been shown to compete successfully against the very best previous approaches on some large benchmark problems. Using examples and heuristic explanations to create a practical and intuitive perspective, the authors address how, when, and why RBF-based methods work.The authors trace the algorithmic evolution of RBFs, starting with brief introductions to finite difference (FD) and pseudospectral (PS) methods and following a logical progression to global RBFs and then to RBF-generated FD (RBF-FD) methods. The RBF-FD method, conceived in 2000, has proven to be a leading candidate for numerical simulations in an increasingly wide range of applications, including seismic exploration for oil and gas, weather and climate modeling, and electromagnetics, among others.This is the first survey in book format of the RBF-FD methodology and is suitable as the text for a one-semester first-year graduate class.

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Title: Mathematical Methods using Python: Applications in Physics and Engineering
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English | PDF | 1994 | 386 Pages | ISBN : 079239481X | 37.9 MB
Turbulence takes place in most flow situations whethertheyoccur naturally or in technological systems. Therefore, considerable effort is being expended in an attempt to understand the phenomenon of turbulence. The recent discovery ofcoherent structure in turbulent shear flows and the modem developments in computer capabilities have revolutionized research work in turbulence. There is a strong evidence that the coherent structure in turbulent shear flows is reminiscent of nonlinear stability waves. As such, the interest in nonlinear stability waves has increased not only for the understandingofthe latterstages of the laminar-turbulent transition process, but also for understanding the coherent structures in turbulent flows. Also. the advances in computers have made direct numerical simulation possible at Low-Reynolds numbers and large-eddy simulation possible at high Reynolds numbers. This made first-principles prediction of turbulence-generated noise feasible. Therefore, this book aims at presenting a graduate-level introductory study of turbulence while accounting for such recent views of concern to researchers. This book is an outgrowth oflecture notes on the subject offered to graduate students in engineering. The book should be of interest to research engineers and graduatestudents in science and engineering. The theoretical basis presented is sufficient not only for studying the specialized literature on turbulence but also for theoretical investigations on the subject.