• Medientyp: Dissertation; Elektronische Hochschulschrift; E-Book
  • Titel: Phase field modeling of fracture with isogeometric analysis and machine learning methods
  • Beteiligte: Goswami, Somdatta [Verfasser:in]
  • Erschienen: Publication Server of Weimar Bauhaus-University / Online-Publikations-System der Bauhaus-Universität Weimar, 2021-03-02
  • Sprache: Englisch
  • Schlagwörter: brittle fracture ; deep neural network ; phase field ; Neuronales Netz ; Phasenfeldmodell ; bk:30 ; Sprödbruch ; Isogeometric Analysis ; bk:31 ; bk:52 ; Physics informed neural network
  • Entstehung:
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  • Beschreibung: This thesis presents the advances and applications of phase field modeling in fracture analysis. In this approach, the sharp crack surface topology in a solid is approximated by a diffusive crack zone governed by a scalar auxiliary variable. The uniqueness of phase field modeling is that the crack paths are automatically determined as part of the solution and no interface tracking is required. The damage parameter varies continuously over the domain. But this flexibility comes with associated difficulties: (1) a very fine spatial discretization is required to represent sharp local gradients correctly; (2) fine discretization results in high computational cost; (3) computation of higher-order derivatives for improved convergence rates and (4) curse of dimensionality in conventional numerical integration techniques. As a consequence, the practical applicability of phase field models is severely limited. The research presented in this thesis addresses the difficulties of the conventional numerical integration techniques for phase field modeling in quasi-static brittle fracture analysis. The first method relies on polynomial splines over hierarchical T-meshes (PHT-splines) in the framework of isogeometric analysis (IGA). An adaptive h-refinement scheme is developed based on the variational energy formulation of phase field modeling. The fourth-order phase field model provides increased regularity in the exact solution of the phase field equation and improved convergence rates for numerical solutions on a coarser discretization, compared to the second-order model. However, second-order derivatives of the phase field are required in the fourth-order model. Hence, at least a minimum of C1 continuous basis functions are essential, which is achieved using hierarchical cubic B-splines in IGA. PHT-splines enable the refinement to remain local at singularities and high gradients, consequently reducing the computational cost greatly. Unfortunately, when modeling complex geometries, multiple parameter spaces (patches) are ...
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