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Phase field modelling in octave

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Hi I tried to code a basic phase field model for fracture in octave.

It doesn't seem to converge to the correct load. It fails later.

Also mesh refinement did not improve the results.

The link to the GIT is here


Any idea where I am wrong?

Ping me. Thanks in advance.

Todd Hufnagel's picture

Postdoctoral position at Johns Hopkins University in dynamic fracture of glasses and glass ceramics

There is an immediate opening for a post-doctoral scholar in the Hopkins Extreme Materials Institute ( at Johns Hopkins University, working with Prof. K.T. Ramesh ( and Prof. Todd Hufnagel (

PhD Candidate required in Computational fracture mechanics

I am looking for a PhD candidate who will be sponsered by my Institute to work in the area of fracture mechanics. 

ABAQUS experience would be an advantage and concepts in fracture mechanics and finite elements will be desirable.

If you are interested to work in this area at Indian Institute of Technology Ropar in Metallurgical and Materials Engg. department, please dont hesitate to contact me at

Cemal Basaran's picture

Entropy Based Fatigue, Fracture, Failure Prediction and Structural Health Monitoring

If you are interested in the most recent advances in physics-based Fatigue, Fracture, Failure Prediction, and Structural Health Monitoring
You may find this publication helpful.

free download site

PhD scholarship application in Geomechanics at University of Lyon - Stability of galleries intersections drilled at great depth in rock


Full description: See attached file
Laboratory: Laboratoire de Tribologie et Dynamique des Systèmes (LTDS), Ecole Nationale des Travaux Publics de l'Etat (ENTPE), Géo-matériaux et Constructions Durables (GCD).
Location: Lyon, France
Period: 3-year scholarship application
Contact: see attached document

Project description:

Dr. Hanaor - Department of Ceramic Materials - TU Berlin's picture

Compressive performance and crack propagation in Al alloy/Ti2AlC composites

The morphology of MAX phase composites is examined here. Specifically, crack branching is examined in Al - Ti2AlC composites showing the role of MAX phase distribution on the fracture performance of such materials. Ductile alloy phases serve to deflect cracks in the hard, yet tough, MAX phase.

Full text available here

rabedi's picture

PhD position in computational mechanics (focus elastodynamics)



I have a PhD position available for a project involving the design of metamaterial unit cells for shock wave mitigation applications. The graduate research assistantship (GRA) position is for the University of Tennessee Space Institute (UTSI) which is a part of University of Tennessee Knoxville (UTK). The student will be located in Knoxville. Some important points are:

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Special Issue "Thermodynamics of Materials Degradation"

Dear Colleagues,

The degradation of a structure, under various loading conditions, involves the progress of damage by initiation and growth of defects, such as microvoids and microcracks, and their coalescence into macrocracks. Thermodynamically, all damage mechanisms share a common feature at a much deeper level, which is dissipation of energy. Degradation processes are irreversible, meaning that they cause irreversible alteration to the system and the surroundings.

USACM Virtual Seminar by Pania Newell, University of Utah

The USACM is happy to announce a virtual seminar this week on Wednesday, July 1st at 3pm Eastern.  The title of the seminar is "Examining Fracture Behavior in Heterogeneous Poro-Elastic Media from Nano to Macro-Scale".  An abstract of the talk is available here:

We have a number of seats available to anyone interested.  We just ask attendees to register at this page:

Oscar Lopez-Pamies's picture

Revisiting Nucleation in the Phase-Field Approach to Brittle Fracture

Twenty years in since their introduction, it is now plain that the regularized formulations dubbed as phase-field of the variational theory of brittle fracture of Francfort and Marigo (1998) provide a powerful macroscopic theory to describe and predict the propagation of cracks in linear elastic brittle materials under arbitrary quasistatic loading conditions. Over the past ten years, the ability of the phase-field approach to also possibly describe and predict crack nucleation has been under intense investigation.

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Computational Mechanics Postdoctoral Research Scientist Position at Columbia University

Dear colleagues, 

There is a new opening for one postdoc position, to be filled immediately, in my research group in the Department of Civil Engineering and Engineering Mechanics at Columbia University. We are looking for postdocs in the broad area of computational mechanics. Candidates should have expertise in modeling dynamic responses of path-dependent materials. Our project is specifically focused on applications of machine learning (reinforcement learning, graph embedding) for computational plasticity and damage. 

Bin Liu's picture

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Machine Learning for Fracture Mechanics

Safer batteries, more efficient gas-turbine engines and solar cells, all require better-engineered nanocomposite materials. There is a limitation though -- how to investigate the fracture mechanics of these materials? Machine learning can help us overcome this limitation.

PhD scholarship application in Geomechanics at University of Lyon - Micromechanical and multi-scale behaviour of damaged heterogeneous rocks around underground excavations



The goal of this project is to investigate the multi-scale behaviour of clay rocks, going from microscopic to macroscopic scale, with application to underground drilling. The research will be based on multi-scale approach and numerical method allowing to model microstructure media in a double-scale framework (FEMxFEM). Please, see the full description in the attached file here below.

Nuwan Dewapriya's picture

Characterizing fracture stress of defective graphene samples using shallow and deep artificial neural networks

Abstract: Advanced machine learning methods could be useful to obtain novel insights into some challenging nanomechanical problems. In this work, we employed artificial neural networks to predict the fracture stress of defective graphene samples. First, shallow neural networks were used to predict the fracture stress, which depends on the temperature, vacancy concentration, strain rate, and loading direction.

Postdoctoral position on high-entropy alloys in Nanyang Technological University

Research Fellow (Post-Doctoral) Position

Nanyang Technological University, Singapore


Area: Computational investigation of fracture mechanisms in high-entropy alloys

Emilio Martínez Pañeda's picture

Mode II fracture of an elastic-plastic sandwich layer

Dear iMechanicians,

Please find below a paper, co-authored with Ivan Cuesta and Norman Fleck, on the mode II fracture of elastic-plastic sandwich layers. The paper is part of the special issue in the Journal of Applied Mechanics dedicated to John Hutchinson's 80th anniversary and the Century Fracture Mechanics Summit.

Emilio Martínez Pañeda's picture

PhD position in Computational Fracture Mechanics of porous media at Imperial College London (UK applicants only)

Applications are invited for a PhD scholarship at Imperial College London. The work will be conducted in close collaboration with the University of Cambridge, with the student being supervised by Dr ​​​​Emilio Martínez Pañeda (main supervisor), Prof Catherine O'Sullivan (Imperial College) and Prof Norman Fleck FRS FREng (University of Cambridge). 

The project aims at developing new theoretical and computational micromechanics-based models for rocks and porous media. More details of the project are given here:

Daniel S. Balint's picture

Research Associate (PostDoc) in Dislocation Mechanics Modelling for Nuclear Materials, at Imperial College London

I have a post-doc position for up to 28 months at Imperial College London, working on dislocation mechanics modelling for problems in nuclear materials, advert snippet below, full advert and application from the link below. Closing date 30th October 2019, starting as soon as possible, at least within the next 6 months.


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