The last decade has seen a significantly increased interest in the computational mechanics and numerical analysis communities in expanding classical discretization methods like finite element methods to more general approaches.
The two main themes in these developments are:
Simplified and generalized methods for discretization of the
computational domain
Accounting for special features of the solution directly in the
approximation space
These efforts have been very successful and a vast variety of new ideas have been introduced and consolidated in new methods, theories, and applications. Important developments include partition of unity methods, meshfree methods, extended finite element methods, fictitious domain methods, and cut finite element methods.
The X-DMS 2017 conference will in particular address recent developments in
Discretization of complex and evolving geometries
Software packages that support extended discretization
methods
X-DMS 2017 is the second X-DMS conference continuing the previous and successful X-FEM conference cycle and aims at covering a wide variety of methods coming from different areas of computational mechanics and numerical analysis. The X-DMS 2017 conference gathers all scientists working on these approaches and provides an arena for presentation of recent state of the art research contributions, exchange of ideas between different approaches, and to identify and discuss promising new research directions.
The conference topics include fundamental research and development, implementation, and applications of extended discretization
methods such as, but not limited to:
Partition of Unity methods including meshfree and generalized
finite element methods
Multimesh and overlapping mesh methods
Cut finite element methods
Fictitious and cut isogeometric methods
Immersed finite element methods
Fictitious domain methods
Multiscale methods
Methods for problems on complex and evolving domains
Methods for coupled problems involving domains of different
dimensionality
Software packages for extended discretization methods
06月19日
2017
06月21日
2017
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