Sharp cracks computations via energy minimization

In this work, we prove that the energy minimization argument is the only essential ingredient for obtaining fracture predictions in a two-dimensional linear elastic continuum, i.e. neither regularization nor additional ad hoc assumptions are necessary to this end. In particular, we show that arbitrary crack paths can be obtained using two fracture potentials for the “sharp model” that are computed in the form of domain integrals starting from a global stationarity condition. The capabilities of the proposed approach are demonstrated with reference to classical benchmark problems of crack propagation in PMMA beams, which provide curvilinear crack trajectories that are strongly dependent from the initial geometry.

Publication Details

Journal
CINECA IRIS Institutial research information system (Parthenope University of Naples)
Published
2025-01-01
Primary Topic
Numerical methods in engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sharp cracks computations via energy minimization

CINECA IRIS Institutial research information system (Parthenope University of Naples)
Numerical methods in engineering
article

Sharp cracks computations via energy minimization

article en

Abstract

In this work, we prove that the energy minimization argument is the only essential ingredient for obtaining fracture predictions in a two-dimensional linear elastic continuum, i.e. neither regularization nor additional ad hoc assumptions are necessary to this end. In particular, we show that arbitrary crack paths can be obtained using two fracture potentials for the “sharp model” that are computed in the form of domain integrals starting from a global stationarity condition. The capabilities of the proposed approach are demonstrated with reference to classical benchmark problems of crack propagation in PMMA beams, which provide curvilinear crack trajectories that are strongly dependent from the initial geometry.

CINECA IRIS Institutial research information system (Parthenope University of Naples)
Affordable and clean energy
Openalex Percentile: Top 50%
Numerical methods in engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Sharp cracks computations via energy minimization · CINECA IRIS Institutial research information system (Parthenope University of Naples) (2025) | TGRS Research Map | TGRS