Parameterized crack modelling based on a localized non-intrusive reduced basis method
This work addresses computational efficiency in damage detection for engineering applications, representing an incremental improvement in model order reduction for crack modeling.
The paper tackles fast parametric modeling of crack problems by proposing a localized non-intrusive reduced basis method, achieving accurate and real-time efficient reduced order models for linear elastic problems with moving discontinuities.
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.