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5455 results in Thermal-fluids engineering

Page 25 of 273

Offshore Structure Hydrodynamics
  • Bernard Molin
  • Published online:
    31 January 2023
    Print publication:
    05 January 2023
  • Newly updated and translated into English for the first time, this standalone handbook perfectly combines background and theory with real-world experiments. All key topics are covered, including environmental conditions, wave theories, hydrostatics, and wave and current loads, with emphasis on nonlinear wave body interaction. Focus is given to model testing, an important component in the design of offshore structures. Recent results on the hydrodynamics of perforated structures, moonpool and gap resonance, and third-order interaction effects, have been added to this updated version. Based on practical experience from multiple industry collaborations, combined with lectures that have been honed and improved over more than 30 years, the pedagogical, real-world approach in this book make it an ideal companion for graduate students and researchers as well as ocean engineers.

Finite Element and Finite Volume Methods for Heat Transfer and Fluid Dynamics
  • J. N. Reddy, N. K. Anand, P. Roy
  • Published online:
    27 January 2023
    Print publication:
    27 October 2022
  • Introduces the two most common numerical methods for heat transfer and fluid dynamics equations, using clear and accessible language. This unique approach covers all necessary mathematical preliminaries at the beginning of the book for the reader to sail smoothly through the chapters. Students will work step-by-step through the most common benchmark heat transfer and fluid dynamics problems, firmly grounding themselves in how the governing equations are discretized, how boundary conditions are imposed, and how the resulting algebraic equations are solved. Providing a detailed discussion of the discretization steps and time approximations, and clearly presenting concepts of explicit and implicit formulations, this graduate textbook has everything an instructor needs to prepare students for their exams and future careers. Each illustrative example shows students how to draw comparisons between the results obtained using the two numerical methods, and at the end of each chapter they can test and extend their understanding by working through the problems provided. A solutions manual is also available for instructors.

Data-Driven Fluid Mechanics
  • Combining First Principles and Machine Learning
  • Edited by Miguel A. Mendez, Andrea Ianiro, Bernd R. Noack, Steven L. Brunton
  • Published online:
    12 January 2023
    Print publication:
    02 February 2023
  • Data-driven methods have become an essential part of the methodological portfolio of fluid dynamicists, motivating students and practitioners to gather practical knowledge from a diverse range of disciplines. These fields include computer science, statistics, optimization, signal processing, pattern recognition, nonlinear dynamics, and control. Fluid mechanics is historically a big data field and offers a fertile ground for developing and applying data-driven methods, while also providing valuable shortcuts, constraints, and interpretations based on its powerful connections to basic physics. Thus, hybrid approaches that leverage both methods based on data as well as fundamental principles are the focus of active and exciting research. Originating from a one-week lecture series course by the von Karman Institute for Fluid Dynamics, this book presents an overview and a pedagogical treatment of some of the data-driven and machine learning tools that are leading research advancements in model-order reduction, system identification, flow control, and data-driven turbulence closures.

Page 25 of 273