The study and design of cyclically loaded structures cannot neglect the evaluation of their fatigue behavior. Today numerical prediction tools allow adopting, in various industrial fields, refined and consolidated procedures for the assessment of cracked parts through analyses based on fracture mechanics. An high level of detail can be obtained through the use of well consolidated FEM methods, allowing an accurate and reliable calculation of the flaw Stress Intensity Factor (SIF) and its resulting prediction in terms of crack propagation. A challenging step for this computational workflow remains, however, the generation and update of the computational grid during crack evolution. It is in this context that radial basis functions (RBF) mesh morphing is emerging as a viable solution to replace the complex and time-consuming remeshing operation. The flaw front is updated, according to its propagation, by automatically deforming the numerical grid obtaining an evolutionary workflow suitable to be used for industrially-sized numerical meshes (many millions of nodes). A review of applications, obtained by exploiting FEA (Ansys Mechanical) and mesh morphing (RBF Morph) state of-the-art tools, is presented in this work. At first the proposed workflow is applied on a circular notched bar with a defect controlled by a two-parameters evolution. The same approach is then refined and demonstrated for a Multi Degree of Freedom (MDoF) case on the same geometry and on the vacuum vessel port stub from the fusion nuclear reactor Iter.

Groth, C., Porziani, S., Chiappa, A., Pompa, E., Cenni, R., Cova, M., et al. (2020). High fidelity numerical fracture mechanics assisted by RBF mesh morphing. PROCEDIA STRUCTURAL INTEGRITY, 25, 136-148 [10.1016/j.prostr.2020.04.017].

High fidelity numerical fracture mechanics assisted by RBF mesh morphing

Groth C.;Chiappa A.;Giorgetti F.;Brutti C.;Salvini P.;Biancolini M. E.
2020-01-01

Abstract

The study and design of cyclically loaded structures cannot neglect the evaluation of their fatigue behavior. Today numerical prediction tools allow adopting, in various industrial fields, refined and consolidated procedures for the assessment of cracked parts through analyses based on fracture mechanics. An high level of detail can be obtained through the use of well consolidated FEM methods, allowing an accurate and reliable calculation of the flaw Stress Intensity Factor (SIF) and its resulting prediction in terms of crack propagation. A challenging step for this computational workflow remains, however, the generation and update of the computational grid during crack evolution. It is in this context that radial basis functions (RBF) mesh morphing is emerging as a viable solution to replace the complex and time-consuming remeshing operation. The flaw front is updated, according to its propagation, by automatically deforming the numerical grid obtaining an evolutionary workflow suitable to be used for industrially-sized numerical meshes (many millions of nodes). A review of applications, obtained by exploiting FEA (Ansys Mechanical) and mesh morphing (RBF Morph) state of-the-art tools, is presented in this work. At first the proposed workflow is applied on a circular notched bar with a defect controlled by a two-parameters evolution. The same approach is then refined and demonstrated for a Multi Degree of Freedom (MDoF) case on the same geometry and on the vacuum vessel port stub from the fusion nuclear reactor Iter.
2020
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ING-IND/14 - PROGETTAZIONE MECCANICA E COSTRUZIONE DI MACCHINE
English
3-D cracks
Fatigue crack growth
RBF
SIF
Groth, C., Porziani, S., Chiappa, A., Pompa, E., Cenni, R., Cova, M., et al. (2020). High fidelity numerical fracture mechanics assisted by RBF mesh morphing. PROCEDIA STRUCTURAL INTEGRITY, 25, 136-148 [10.1016/j.prostr.2020.04.017].
Groth, C; Porziani, S; Chiappa, A; Pompa, E; Cenni, R; Cova, M; D'Amico, G; Giorgetti, F; Brutti, C; Salvini, P; Rochette, M; Biancolini, Me
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/258072
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