Project Management Research data Infrastructure
The Max-Planck-Institut für Eisenforschung as part of the MatWerk consortium (https://nfdi-matwerk.de)
The Max-Planck-Institut für Eisenforschung as part of the MatWerk consortium (https://nfdi-matwerk.de)
During the period of October 3 - 7, the course "MECHANICS OF STRONGLY INHOMOGENEOUS MULTI-COMPONENT AND MULTI-LAYERED STRUCTURES" will be held at CISM, Italy. The course is offered in a hybrid format giving the possibility to attend the course also by remote (on Microsoft Teams platform).
Dear members of iMechanica,
The first overlay diamond open access journal in Mechanics, the Journal of Theoretical, Computational and Applied Mechanics https://jtcam.episciences.org aims to select publications of the highest scientific caliber in the form of either original research or review in Solid Mechanics.
We are searching for new handling editors, especially, in South East Asia, India, South America and Africa for a renewable position of 4 years
Dear colleagues,
I would like to draw your attention to a recent work we have been doing to set up a library of examples of discrete one-sided contact problems with Coulomb friction.
The collection of problems can be found here https://github.com/FrictionalContactLibrary/fclib-library and the C API for writing and listing these files here:
Over the past years, UGent-MMS has developed a stand-alone topology optimization code for additive manufacturing applications. The topology optimization software can deal with thermo-mechanical coupled problems, combined with multi-material selection. Such features are not available in any commercial topology optimization code.
The code can also deal with large industrial optimization problems, with millions degrees of freedom in three-dimensional finite element models.
Chapters to be covered in this book includes (but not
limited to) the following themes:
AI, IoT and BDA powered CE models to evaluate and optimize performance of waste management systems.
Applications of deep learning and unsupervised feature
learning for prediction of sustainable feature smart transportation system
Application of DT and CE technologies for Sustainable design of distributed energy supply systems
Digital Technology-enabled circular economy for sustainable production and consumption
Frameworks to Evaluate the Influence of DT and CE-based