1st Edition
by Jason Har (Author), Kumar Tamma (Author)
Computational methods for the
modeling and simulation of the dynamic response and behavior of
particles, materials and structural systems have had a profound
influence on science, engineering and technology. Complex science and
engineering applications dealing with complicated structural geometries
and materials that would be very difficult to treat using analytical
methods have been successfully simulated using computational tools. With
the incorporation of quantum, molecular and biological mechanics into
new models, these methods are poised to play an even bigger role in the
future.
Advances in Computational Dynamics of Particles, Materials and Structures
not only presents emerging trends and cutting edge state-of-the-art
tools in a contemporary setting, but also provides a unique blend of
classical and new and innovative theoretical and computational aspects
covering both particle dynamics, and flexible continuum structural
dynamics applications. It provides a unified viewpoint and encompasses
the classical Newtonian, Lagrangian, and Hamiltonian mechanics
frameworks as well as new and alternative contemporary approaches and
their equivalences in [start italics]vector and scalar formalisms[end
italics] to address the various problems in engineering sciences and
physics.
Highlights and key features
- Provides
practical applications, from a unified perspective, to both particle
and continuum mechanics of flexible structures and materials
- Presents new and traditional developments, as well as alternate perspectives, for space and time discretization
- Describes a unified viewpoint under the umbrella of Algorithms by Design for the class of linear multi-step methods
- Includes
fundamentals underlying the theoretical aspects and
numerical developments, illustrative applications and practice exercises
The completeness and breadth and depth of coverage makes Advances in Computational Dynamics of Particles, Materials and Structures
a valuable textbook and reference for graduate students, researchers
and engineers/scientists working in the field of computational
mechanics; and in the general areas of computational sciences and
engineering.