OpenLB 2018 - Second Spring School on Lattice Boltzmann Methods
Topics/Call fo Papers
Executive committee
Mathias J. Krause, Karlsruhe Institute of Technology, Germany
Albert Mink, Karlsruhe Institute of Technology, Germany
Mahdi Tekitek, Université de Tunis El Manar, Tunisia
Ezeddine Sediki, Université de Tunis El Manar, Tunisia
The field of Lattice Boltzmann Method
In recent years, Lattice Boltzmann Methods (LBM) turned into an established numerical tool for computational fluid dynamic (CFD) problems and beyond. The simulation of complex multi-physical problems benefits strongly from the comprehensive mesoscopic modelling underlying LBM and establishes LBM besides traditional numerical methods.
Target audience
The expected attendees are Master and PhD students as well as researchers and developers from academia and industry, who seek to learn both, theoretical and practical aspects of LBM. As simulation is an interdisciplinary discipline, the spring school addresses to engineers, computer scientists, mathematicians, physicians and others. Based on their interest in CFD, this course provides a collaborative platform for LBM for developers and researchers.
Objective of the spring school
The spring school introduces scientists and applicants from industry to the theory of LBM and trains them on practical problems. The first three days are dedicated to the theoretical fundamentals of LBM up to ongoing research on selected topics. Followed by two days of mentored training on case studies using OpenLB, the participants gain deep inside into LBM and its applications.
This educational concept is probably unique in the LBM community and offers a comprehensive and personal guided approach to LBM. Participants also benefit from the knowledge exchange during poster session, coffee breaks and an excursion.
Lab room and requirements
In the computing lab sessions on Thursday and Friday, the participants are trained on practical applications, deploying the open source software OpenLB. Particular focus is placed on case studies, which are important to understand and verify the theory presented in the lectures, earlier in the spring school. By the help of experienced tutors, the computing lab sessions also enable to set up OpenLB simulations for relevant problems. To guaranty personal tutoring and intensive exchange between experienced mentors and novices, the lab is limited to 50 participants.
The attendees are responsible to bring their own laptop equipped with the software
GNU c++ compiler 4.8 and higher
OpenMPI 1.6 and higher
Paraview
Speakers
François Dubois, CNAM Paris, Université Paris-Sud, France
Mathias J. Krause, Karlsruhe Institute of Technology, Germany
Timm Krüger, The University of Edinburgh, United Kingdom
Halim Kusumaatmaja, Durham University, United Kingdom
Patrick Nathen, Lilium GmbH, Germany
Timothy Reis, Plymouth University, United Kingdom
Ezeddine Sediki, Université de Tunis El Manar, Tunisia
Mahid Tekitek, Université de Tunis El Manar, Tunisia
Max Gaedtke, Marc Haussmann, Fabian Klemens, Marie-Luise Maier, Albert Mink, Markus Mohrhard, Robin Trunk from Karlsruhe Institute of Technology, Germany
Course delivery
Printed lecture notes, lectures by invited speakers, software lab mentored by OpenLB developers, 5x lunch, 3x dinner, social excursion and Spring School dinner, all coffee breaks, certificate of participation
Mathias J. Krause, Karlsruhe Institute of Technology, Germany
Albert Mink, Karlsruhe Institute of Technology, Germany
Mahdi Tekitek, Université de Tunis El Manar, Tunisia
Ezeddine Sediki, Université de Tunis El Manar, Tunisia
The field of Lattice Boltzmann Method
In recent years, Lattice Boltzmann Methods (LBM) turned into an established numerical tool for computational fluid dynamic (CFD) problems and beyond. The simulation of complex multi-physical problems benefits strongly from the comprehensive mesoscopic modelling underlying LBM and establishes LBM besides traditional numerical methods.
Target audience
The expected attendees are Master and PhD students as well as researchers and developers from academia and industry, who seek to learn both, theoretical and practical aspects of LBM. As simulation is an interdisciplinary discipline, the spring school addresses to engineers, computer scientists, mathematicians, physicians and others. Based on their interest in CFD, this course provides a collaborative platform for LBM for developers and researchers.
Objective of the spring school
The spring school introduces scientists and applicants from industry to the theory of LBM and trains them on practical problems. The first three days are dedicated to the theoretical fundamentals of LBM up to ongoing research on selected topics. Followed by two days of mentored training on case studies using OpenLB, the participants gain deep inside into LBM and its applications.
This educational concept is probably unique in the LBM community and offers a comprehensive and personal guided approach to LBM. Participants also benefit from the knowledge exchange during poster session, coffee breaks and an excursion.
Lab room and requirements
In the computing lab sessions on Thursday and Friday, the participants are trained on practical applications, deploying the open source software OpenLB. Particular focus is placed on case studies, which are important to understand and verify the theory presented in the lectures, earlier in the spring school. By the help of experienced tutors, the computing lab sessions also enable to set up OpenLB simulations for relevant problems. To guaranty personal tutoring and intensive exchange between experienced mentors and novices, the lab is limited to 50 participants.
The attendees are responsible to bring their own laptop equipped with the software
GNU c++ compiler 4.8 and higher
OpenMPI 1.6 and higher
Paraview
Speakers
François Dubois, CNAM Paris, Université Paris-Sud, France
Mathias J. Krause, Karlsruhe Institute of Technology, Germany
Timm Krüger, The University of Edinburgh, United Kingdom
Halim Kusumaatmaja, Durham University, United Kingdom
Patrick Nathen, Lilium GmbH, Germany
Timothy Reis, Plymouth University, United Kingdom
Ezeddine Sediki, Université de Tunis El Manar, Tunisia
Mahid Tekitek, Université de Tunis El Manar, Tunisia
Max Gaedtke, Marc Haussmann, Fabian Klemens, Marie-Luise Maier, Albert Mink, Markus Mohrhard, Robin Trunk from Karlsruhe Institute of Technology, Germany
Course delivery
Printed lecture notes, lectures by invited speakers, software lab mentored by OpenLB developers, 5x lunch, 3x dinner, social excursion and Spring School dinner, all coffee breaks, certificate of participation
Other CFPs
Last modified: 2018-01-06 15:51:20