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Can I read Mathematical Theory of Evolutionary Fluid-Flow Structure Interactions (Oberwolfach Seminars (48)) on EtoBox?

Mathematical Theory of Evolutionary Fluid-Flow Structure Interactions (Oberwolfach Seminars (48)) by Barbara Kaltenbacher; Igor Kukavica; Irena Lasiecka; Roberto Triggiani; Amjad M Tuffaha; Justin T Webster; Springer Nature is a nonfiction available to read on EtoBox.

What is Mathematical Theory of Evolutionary Fluid-Flow Structure Interactions (Oberwolfach Seminars (48)) about?

This book is devoted to the study of coupled partial differential equation models, which describe complex dynamical systems occurring in modern scientific applications such as fluid/flow-structure interactions. The first chapter provides a general description of a fluid-structure interaction, which is formulated within a realistic framework, where the structure subject to a frictional damping moves within the fluid. The second chapter then offers a multifaceted description, with often surprising results, of the case of the static interface; a case that is argued in the literature to be a good model for small, rapid oscillations of the structure. The third chapter describes flow-structure interaction where the compressible Navier-Stokes equations are replaced by the linearized Euler equation, while the solid is taken as a nonlinear plate, which oscillates in the surrounding gas flow. The final chapter focuses on a the equations of nonlinear acoustics coupled with linear acoustics or elasticity, as they arise in the context of high intensity ultrasound applications.-- Provided by publisher

Who reads Mathematical Theory of Evolutionary Fluid-Flow Structure Interactions (Oberwolfach Seminars (48))?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Barbara Kaltenbacher; Igor Kukavica; Irena Lasiecka; Roberto Triggiani; Amjad M Tuffaha; Justin T Webster; Springer Nature
Publisher
Birkhäuser
Published
2018
Language
EN
ISBN
9783319927824
Category
nonfiction
Subjects
Mathematics, Engineering, Stem

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