Parameterized crack modelling based on a localized non-intrusive reduced basis method
By: Margarita Chasapi
Potential Business Impact:
Finds cracks faster in structures.
This contribution presents a model order reduction strategy for fast parametric modelling of problems with cracks formulated on spline discretizations. In the context of damage detection, parametric reduced order models (ROMs) are well suited for fast computations by establishing an efficient offline/online split of the simulation process. The problems of interest focus on geometric parameters that describe the crack configuration and may pose challenges to constructing efficient ROMs. This work proposes a framework based on non-intrusive reduced basis methods and a localization strategy tailored to parametric problems with moving discontinuities. The combined benefits of non-intrusive ROMs and localization enable accurate and efficient reduction with low online cost. We demonstrate the applicability of the ROM approach with benchmark tests on linear elastic problems discretized with splines and the extended isogeometric method (XIGA) for crack modelling. The results we obtain show the accuracy and real-time efficiency of the constructed reduced order models.
Similar Papers
Interpolated Adaptive Linear Reduced Order Modeling for Deformation Dynamics
Graphics
Makes computer models of bending shapes more accurate.
Efficient data-driven regression for reduced-order modeling of spatial pattern formation
Pattern Formation and Solitons
Makes complex patterns appear faster on computers.
Machine Learning (ML) based Reduced Order Modeling (ROM) for linear and non-linear solid and structural mechanics
Computational Engineering, Finance, and Science
Makes computer models faster and smarter.