Whither Turbulence And Big Data In The 21st Century

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Whither Turbulence and Big Data in the 21st Century?

Author : Andrew Pollard,Luciano Castillo,Luminita Danaila,Mark Glauser
Publisher : Springer
Page : 574 pages
File Size : 44,6 Mb
Release : 2016-08-30
Category : Technology & Engineering
ISBN : 9783319412177

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Whither Turbulence and Big Data in the 21st Century? by Andrew Pollard,Luciano Castillo,Luminita Danaila,Mark Glauser Pdf

This volume provides a snapshot of the current and future trends in turbulence research across a range of disciplines. It provides an overview of the key challenges that face scientific and engineering communities in the context of huge databases of turbulence information currently being generated, yet poorly mined. These challenges include coherent structures and their control, wall turbulence and control, multi-scale turbulence, the impact of turbulence on energy generation and turbulence data manipulation strategies. The motivation for this volume is to assist the reader to make physical sense of these data deluges so as to inform both the research community as well as to advance practical outcomes from what is learned. Outcomes presented in this collection provide industry with information that impacts their activities, such as minimizing impact of wind farms, opportunities for understanding large scale wind events and large eddy simulation of the hydrodynamics of bays and lakes thereby increasing energy efficiencies, and minimizing emissions and noise from jet engines. Elucidates established, contemporary, and novel aspects of fluid turbulence - a ubiquitous yet poorly understood phenomena; Explores computer simulation of turbulence in the context of the emerging, unprecedented profusion of experimental data,which will need to be stewarded and archived; Examines a compendium of problems and issues that investigators can use to help formulate new promising research ideas; Makes the case for why funding agencies and scientists around the world need to lead a global effort to establish and steward large stores of turbulence data, rather than leaving them to individual researchers.

Progress in Turbulence VII

Author : Ramis Örlü,Alessandro Talamelli,Martin Oberlack,Joachim Peinke
Publisher : Springer
Page : 250 pages
File Size : 40,7 Mb
Release : 2017-06-26
Category : Technology & Engineering
ISBN : 9783319579344

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Progress in Turbulence VII by Ramis Örlü,Alessandro Talamelli,Martin Oberlack,Joachim Peinke Pdf

This volume collects the edited and reviewed contribution presented in the 7th iTi Conference in Bertinoro, covering fundamental and applied aspects in turbulence. In the spirit of the iTi conference, the volume is produced after the conference so that the authors had the opportunity to incorporate comments and discussions raised during the meeting. In the present book, the contributions have been structured according to the topics: I Theory II Wall bounded flows III Pipe flow IV Modelling V Experiments VII Miscellaneous topics

Modern Management Based on Big Data II and Machine Learning and Intelligent Systems III

Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
Page : 738 pages
File Size : 44,5 Mb
Release : 2021-12-03
Category : Computers
ISBN : 9781643682259

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Modern Management Based on Big Data II and Machine Learning and Intelligent Systems III by A.J. Tallón-Ballesteros Pdf

It is data that guides the path of applications, and Big Data technologies are enabling new paths which can deal with information in a reasonable time to arrive at an approximate solution, rather than a more exact result in an unacceptably long time. This can be particularly important when dealing with an urgent issue such as that of the COVID-19 pandemic. This book presents the proceedings of two conferences: MMBD 2021 and MLIS 2021. The MMBD conference deals with two main subjects; those of Big Data and Modern Management. The MLIS conference aims to provide a platform for knowledge exchange of the most recent scientific and technological advances in the field of machine learning and intelligent systems. Both conferences were originally scheduled to be held from 8-11 November 2021, in Quanzhou, China and Xiamen, China respectively. Both conferences were ultimately held fully online on the same dates, hosted by Huaqiao University in Quanzhou and Xiamen respectively. The book is in two parts, and contains a total of 78 papers (54 from MMBD2021 and 24 from MLIS2021) selected after rigorous review from a total of some 300 submissions. The reviewers bore in mind the breadth and depth of the research topics that fall within the scope of MMBD and MLIS, and selected the 78 most promising and FAIA mainstream-relevant contributions for inclusion in this two-part volume. All the papers present original ideas or results of general significance supported by clear reasoning, compelling evidence and rigorous methods.

Intermittency and Self-Organisation in Turbulence and Statistical Mechanics

Author : Eun-jin Kim
Publisher : MDPI
Page : 300 pages
File Size : 51,8 Mb
Release : 2019-07-29
Category : Mathematics
ISBN : 9783039211081

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Intermittency and Self-Organisation in Turbulence and Statistical Mechanics by Eun-jin Kim Pdf

This book is a printed edition of the Special Issue Intermittency and Self-Organisation in Turbulence and Statistical Mechanics that was published in Entropy

Direct and Large Eddy Simulation XIII

Author : Cristian Marchioli,Maria Vittoria Salvetti,Manuel Garcia-Villalba,Philipp Schlatter
Publisher : Springer Nature
Page : 389 pages
File Size : 52,9 Mb
Release : 2023-11-15
Category : Technology & Engineering
ISBN : 9783031470288

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Direct and Large Eddy Simulation XIII by Cristian Marchioli,Maria Vittoria Salvetti,Manuel Garcia-Villalba,Philipp Schlatter Pdf

This book covers the diverse and cutting-edge research presented at the 13th ERCOFTAC Workshop on Direct and Large Eddy Simulation. The first section of the book focuses on Aerodynamics/Aeroacoustics, comprising eight papers that delve into the intricate relationship between fluid flow and aerodynamic performance. The second section explores the dynamics of Bluff/Moving Bodies through four insightful papers. Bubbly Flows, the subject of the third section, is examined through four papers. Moving on, the fourth section is dedicated to Combustion and Reactive Flows, presenting two papers that focus on the complex dynamics of combustion processes and the interactions between fluids and reactive species. Convection and Heat/Mass Transfer are the central themes of the fifth section, which includes three papers. These contributions explore the fundamental aspects of heat and mass transfer in fluid flows, addressing topics such as convective heat transfer, natural convection, and mass transport phenomena. The sixth section covers Data Assimilation and Uncertainty Quantification, featuring two papers that highlight the importance of incorporating data into fluid dynamic models and quantifying uncertainties associated with these models. The subsequent sections encompass a wide range of topics, including Environmental and Industrial Applications, Flow Separation, LES Fundamentals and Modelling, Multiphase Flows, and Numerics and Methodology. These sections collectively present a total of 23 papers that explore different facets of fluid dynamics, contributing to the advancement of the field and its practical applications.

Machine Learning Control – Taming Nonlinear Dynamics and Turbulence

Author : Thomas Duriez,Steven L. Brunton,Bernd R. Noack
Publisher : Springer
Page : 211 pages
File Size : 51,5 Mb
Release : 2016-11-02
Category : Technology & Engineering
ISBN : 9783319406244

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Machine Learning Control – Taming Nonlinear Dynamics and Turbulence by Thomas Duriez,Steven L. Brunton,Bernd R. Noack Pdf

This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. The approach of the book employs powerful methods of machine learning for optimal nonlinear control laws. This machine learning control (MLC) is motivated and detailed in Chapters 1 and 2. In Chapter 3, methods of linear control theory are reviewed. In Chapter 4, MLC is shown to reproduce known optimal control laws for linear dynamics (LQR, LQG). In Chapter 5, MLC detects and exploits a strongly nonlinear actuation mechanism of a low-dimensional dynamical system when linear control methods are shown to fail. Experimental control demonstrations from a laminar shear-layer to turbulent boundary-layers are reviewed in Chapter 6, followed by general good practices for experiments in Chapter 7. The book concludes with an outlook on the vast future applications of MLC in Chapter 8. Matlab codes are provided for easy reproducibility of the presented results. The book includes interviews with leading researchers in turbulence control (S. Bagheri, B. Batten, M. Glauser, D. Williams) and machine learning (M. Schoenauer) for a broader perspective. All chapters have exercises and supplemental videos will be available through YouTube.

High Performance Computing

Author : Heike Jagode,Hartwig Anzt,Hatem Ltaief,Piotr Luszczek
Publisher : Springer Nature
Page : 515 pages
File Size : 46,6 Mb
Release : 2021-11-12
Category : Computers
ISBN : 9783030905392

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High Performance Computing by Heike Jagode,Hartwig Anzt,Hatem Ltaief,Piotr Luszczek Pdf

This book constitutes the refereed post-conference proceedings of 9 workshops held at the 35th International ISC High Performance 2021 Conference, in Frankfurt, Germany, in June-July 2021: Second International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics and Solid Mechanics Simulations and Analysis; HPC-IODC: HPC I/O in the Data Center Workshop; Compiler-assisted Correctness Checking and Performance Optimization for HPC; Machine Learning on HPC Systems;4th International Workshop on Interoperability of Supercomputing and Cloud Technologies;2nd International Workshop on Monitoring and Operational Data Analytics;16th Workshop on Virtualization in High-Performance Cloud Computing; Deep Learning on Supercomputers; 5th International Workshop on In Situ Visualization. The 35 papers included in this volume were carefully reviewed and selected. They cover all aspects of research, development, and application of large-scale, high performance experimental and commercial systems. Topics include high-performance computing (HPC), computer architecture and hardware, programming models, system software, performance analysis and modeling, compiler analysis and optimization techniques, software sustainability, scientific applications, deep learning.

50 Years of CFD in Engineering Sciences

Author : Akshai Runchal
Publisher : Springer Nature
Page : 950 pages
File Size : 43,6 Mb
Release : 2020-03-09
Category : Technology & Engineering
ISBN : 9789811526701

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50 Years of CFD in Engineering Sciences by Akshai Runchal Pdf

Prof. D. Brian Spalding, working with a small group of students and colleagues at Imperial College, London in the mid-to late-1960’s, single-handedly pioneered the use of Computational Fluid Dynamics (CFD) for engineering practice.​This book brings together advances in computational fluid dynamics in a collection of chapters authored by leading researchers, many of them students or associates of Prof. Spalding. The book intends to capture the key developments in specific fields of activity that have been transformed by application of CFD in the last 50 years. The focus is on review of the impact of CFD on these selected fields and of the novel applications that CFD has made possible. Some of the chapters trace the history of developments in a specific field and the role played by Spalding and his contributions. The volume also includes a biographical summary of Brian Spalding as a person and as a scientist, as well as tributes to Brian Spalding by those whose life was impacted by his innovations. This volume would be of special interest to researchers, practicing engineers, and graduate students in various fields, including aerospace, energy, power and propulsion, transportation, combustion, management of the environment, health and pharmaceutical sciences.

Progress in Turbulence IX

Author : Ramis Örlü,Alessandro Talamelli,Joachim Peinke,Martin Oberlack
Publisher : Springer Nature
Page : 308 pages
File Size : 50,5 Mb
Release : 2021-10-23
Category : Technology & Engineering
ISBN : 9783030807160

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Progress in Turbulence IX by Ramis Örlü,Alessandro Talamelli,Joachim Peinke,Martin Oberlack Pdf

This volume collects the edited and reviewed contribution presented in the 9th iTi Conference that took place virtually, covering fundamental and applied aspects in turbulence. In the spirit of the iTi conference, the volume is produced after the conference so that the authors had the opportunity to incorporate comments and discussions raised during the meeting. In the present book, the contributions have been structured according to the topics: I Experiments II Simulations and Modelling III Data Processing and Scaling IV Theory V Miscellaneous topics

Handbook of Wind Energy Aerodynamics

Author : Bernhard Stoevesandt,Gerard Schepers,Peter Fuglsang,Yuping Sun
Publisher : Springer Nature
Page : 1495 pages
File Size : 42,5 Mb
Release : 2022-08-04
Category : Technology & Engineering
ISBN : 9783030313074

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Handbook of Wind Energy Aerodynamics by Bernhard Stoevesandt,Gerard Schepers,Peter Fuglsang,Yuping Sun Pdf

This handbook provides both a comprehensive overview and deep insights on the state-of-the-art methods used in wind turbine aerodynamics, as well as their advantages and limits. The focus of this work is specifically on wind turbines, where the aerodynamics are different from that of other fields due to the turbulent wind fields they face and the resultant differences in structural requirements. It gives a complete picture of research in the field, taking into account the different approaches which are applied. This book would be useful to professionals, academics, researchers and students working in the field.

Snapshot-Based Methods and Algorithms

Author : Peter Benner,et al.
Publisher : Walter de Gruyter GmbH & Co KG
Page : 369 pages
File Size : 50,8 Mb
Release : 2020-12-16
Category : Mathematics
ISBN : 9783110671506

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Snapshot-Based Methods and Algorithms by Peter Benner,et al. Pdf

An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.

Dynamic Mode Decomposition

Author : J. Nathan Kutz,Steven L. Brunton,Bingni W. Brunton,Joshua L. Proctor
Publisher : SIAM
Page : 234 pages
File Size : 53,8 Mb
Release : 2016-11-23
Category : Science
ISBN : 9781611974508

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Dynamic Mode Decomposition by J. Nathan Kutz,Steven L. Brunton,Bingni W. Brunton,Joshua L. Proctor Pdf

Data-driven dynamical systems is a burgeoning field?it connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-established methods in dynamical systems theory. This is a critically important new direction because the governing equations of many problems under consideration by practitioners in various scientific fields are not typically known. Thus, using data alone to help derive, in an optimal sense, the best dynamical system representation of a given application allows for important new insights. The recently developed dynamic mode decomposition (DMD) is an innovative tool for integrating data with dynamical systems theory. The DMD has deep connections with traditional dynamical systems theory and many recent innovations in compressed sensing and machine learning. Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems, the first book to address the DMD algorithm, presents a pedagogical and comprehensive approach to all aspects of DMD currently developed or under development; blends theoretical development, example codes, and applications to showcase the theory and its many innovations and uses; highlights the numerous innovations around the DMD algorithm and demonstrates its efficacy using example problems from engineering and the physical and biological sciences; and provides extensive MATLAB code, data for intuitive examples of key methods, and graphical presentations.

Modeling in Fluid Mechanics

Author : Igor Gaissinski,Vladimir Rovenski
Publisher : CRC Press
Page : 534 pages
File Size : 41,5 Mb
Release : 2018-06-13
Category : Mathematics
ISBN : 9781351029049

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Modeling in Fluid Mechanics by Igor Gaissinski,Vladimir Rovenski Pdf

This volume is dedicated to modeling in fluid mechanics and is divided into four chapters, which contain a significant number of useful exercises with solutions. The authors provide relatively complete references on relevant topics in the bibliography at the end of each chapter.

Mathematical Modelling of Energy Systems and Fluid Machinery

Author : Mirko Morini,Michele Pinelli
Publisher : MDPI
Page : 256 pages
File Size : 53,5 Mb
Release : 2021-06-04
Category : Technology & Engineering
ISBN : 9783036505503

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Mathematical Modelling of Energy Systems and Fluid Machinery by Mirko Morini,Michele Pinelli Pdf

The ongoing digitalization of the energy sector, which will make a large amount of data available, should not be viewed as a passive ICT application for energy technology or a threat to thermodynamics and fluid dynamics, in the light of the competition triggered by data mining and machine learning techniques. These new technologies must be posed on solid bases for the representation of energy systems and fluid machinery. Therefore, mathematical modelling is still relevant and its importance cannot be underestimated. The aim of this Special Issue was to collect contributions about mathematical modelling of energy systems and fluid machinery in order to build and consolidate the base of this knowledge.

Mechanics of Fluids

Author : Joseph M. Powers
Publisher : Cambridge University Press
Page : 722 pages
File Size : 40,5 Mb
Release : 2023-06-29
Category : Technology & Engineering
ISBN : 9781009028080

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Mechanics of Fluids by Joseph M. Powers Pdf

Providing a modern approach to classical fluid mechanics, this textbook presents an accessible and rigorous introduction to the field, with a strong emphasis on both mathematical exposition and physical problems. It includes a consistent treatment of a broad range of fluid mechanics topics, including governing equations, vorticity, potential flow, compressible flow, viscous flow, instability, and turbulence. It has enhanced coverage of geometry, coordinate transformations, kinematics, thermodynamics, heat transfer, and nonlinear dynamics. To round out student understanding, a robust emphasis on theoretical fundamentals and underlying mathematical details is provided, enabling students to gain confidence and develop a solid framework for further study. Included also are 180 end-of-chapter problems, with full solutions and sample course syllabi available for instructors. With sufficient coverage for a one- or two-semester sequence, this textbook provides an ideal flexible teaching pathway for graduate students in aerospace, mechanical, chemical, and civil engineering, and applied mathematics.