EAN: 9783319984698
Bilder-Quelle: shopping24.de – Sport
This book presents a new approach to learning the dynamics of particles and rigid bodies at an intermediate to advanced level. There are three distinguishing features of this approach. First the primary emphasis is to obtain the equations of motion of dynamical systems and to solve them numerically. As a consequence most of the analytical exercises and homework found in traditional dynamics texts written at this level are replaced by MATLAB®-based simulations. Second extensive use is made of matrices. Matrices are essential to define the important role that constraints have on the behavior of dynamical systems. Matrices are also key elements in many of the software tools that engineers use to solve more complex and practical dynamics problems such as in the multi-body codes used for analyzing mechanical aerospace and biomechanics systems. The third and feature is the use of a combination of Newton-Euler and Lagrangian (analytical mechanics) treatments for solving dynamics problems. Rather than discussing these two treatments separately Engineering Dynamics 2.0 uses a geometrical approach that ties these two treatments together leading to a more transparent description of difficult concepts such as virtual displacements. Some important highlights of the book include: Extensive discussion of the role of constraints in formulating and solving dynamics problems. Implementation of a highly unified approach to dynamics in a simple context suitable for a second-level course. Descriptions of non-linear phenomena such as parametric resonances and chaotic behavior. A treatment of both dynamic and static stability. Overviews of the numerical methods (ordinary differential equation solvers Newton-Raphson method) needed to solve dynamics problems. An introduction to the dynamics of deformable bodies and the use of finite difference and finite element methods. Engineering Dynamics 2.0 provides a unique modern treatment of dynamics problems that is directly useful in advanced engineering applications. It is a valuable resource for undergraduate and graduate students and for practicing engineers.
Produktinformationen zuletzt aktualisiert am
08.08.2026 um 06:09 Uhr
08.08.2026 um 06:09 Uhr
Hersteller
-
EAN
9783319984698
MPN
-
ASIN
-
Produktgruppe
-
Produktzustand:
Verfügbarkeit:
Versandkosten:
Sonderpreis:

Sie sind Shopbetreiber? Listen Sie ganz einfach Ihre Produkte hier bei uns im Portal >>>
Letzte EAN Aktualisierungen:
9783030061937 - Routes to Absolute Instability in Porous Media - A...9783319299815 - Dynamics of Smart Systems and Structures Gebunden...
9783527414253 - Landau Rubin H Computational Physics...
9783384239877 - Fluid Flow and Thermal Analysis of Steam Headers i...
9780128020319 - Understanding Complex Ecosystem Dynamics - William...
9783319553146 - Advance Elements of Optoisolation Circuits - Ofer ...
9783319295787 - Lecture Notes in Mechanical Engineering Advances...
9783642783623 - Geology of Holocene Barrier Island Systems Kartoni...
9784431550365 - Clinical Systems Neuroscience Gebunden...
9783030005689 - SpringerBriefs in Applied Sciences and Technology ...
9783319297385 - Nonlinear Dynamics Volume 1 Gebunden...
9781484270257 - The Future of the Automotive Industry - Inma MartÃ...
kürzlich hinzugefügt:
9789811026324 - Mathematical Analysis of Continuum Mechanics and I...9783384239716 - Missing Piece in the Puzzle Unveiling Pedestrian S...
9783030126834 - Topics in Modal Analysis & Testing Volume 8 Gebund...
9783642024658 - Complex Sciences Kartoniert (TB)...
9783110690361 - Owning Land Being Women - Amrita Mondal Kartoniert...
9781493923670 - Aeroservoelasticity - Ashish Tewari Gebunden...
9783319334813 - Traffic and Granular Flow 15 Gebunden...
9783030014209 - Artificial Neural Networks and Machine Learning - ...
9783110695960 - Optimization and Control for Partial Differential ...
9783319299990 - Language and Automata Theory and Applications Kart...
9789811028748 - Mechanism and Machine Science 2 Teile Gebunden...
9783030170110 - High-Performance Computing of Big Data for Turbule...