Scope & Main topics

Scope

Mechanics, like many other domains, keep supplying numerous engineering problems which remain intractable today despite the impressive progress of computational simulation techniques. Model reduction methods are leading to a new generation of high-performance computational tools that provide solutions to engineering problems inaccessible to standard codes based on classical and well-established numerical techniques. For the last years, this is a real breakthrough with many applications.

The workshop will focus on recent developments in model reduction approaches (Reduced Basis, Proper Orthogonal Decomposition, Proper Generalized Decomposition,…) for the numerical solution of models involving partial differential equations. Many methods are now mature and allow the treatment of actual applications in engineering. And obviously, data science is opening new doors that will further transform the approaches in the future.

The workshop is intended to be a meeting ground for the various contributors, including mechanicians, applied mathematicians, and other researchers and engineers involved in testing and computation, to foster the cross-fertilization of ideas and their synergy.

Main topics

• Model order reduction
• Data-based and data-driven approaches
• Real-time simulation: control, optimization, design,...
• Parametrized problems
• Surrogate modeling and meta-modeling
• Digital twins
• Convergence, verification and adaptive approaches
• Uncertainty quantification and propagation
• Nonlinear, multiscale and multiphysics problems
• Non-invasive approaches
• Engineering and scientific applications