The objective of the project is efficient GPGPU algorithms and DEM models for temperature influenced dynamic fracture analysis of heat-resistant concrete. The need to utilize the useful properties of artificial materials around human activity, as well as reducing their harmful properties, creates the need to understand the factors shaping characteristics of heat-resistant concrete. Development of effective GPGPU algorithms and software will help to save electric energy, to advance design of new heat-resistant materials and to accelerate design of biomass-fired furnaces. Thus, results of the project help to satisfy needs for sustainable development and ecological balance.
Project funding:
This research project is funded by the European Social Fund according to the 2014–2020 Operational Programme for the European Union Funds’ Investments, under measure’s No. 09.3.3-LMT-K-712 activity “Promotion of postdoctoral fellowships studies”.
Project results:
In the framework of current project, the acquired knowledge on effective GPGPU algorithms and DEM models, needed for design of new heat-resistant materials and biomass-fired furnaces, increase competence of the research fellow and fellowship supervisor. The interdisciplinary research, combining theories of micro-mechanics, advanced GPGPU algorithms, heat-resistant materials and biomass-fired technologies, lead to the need of the highly qualified experts, working in the academic sector, to disseminate their knowledge to professionals and pass it on to students. The described interdisciplinary research is quite expensive. It is practically impossible to achieve these tasks without external support, and therefore the use of EU funds remains the only opportunity to accumulate the necessary competencies to achieve breakthroughs in the field of GPGPU algorithms for DEM modelling of heat- resistant concrete and to be equal partners in the European Research Area.
Period of project implementation: 2017-11-28 - 2019-11-27
Project coordinator: Kaunas University of Technology
