Introduction: The objective of this project is to design and analyse innovative numerical methods for the approximation of partial differential equations (PDEs) in computational science and engineering. The increasing complexity of realistic models and the evolution of computational platforms and architectures are challenging the numerical analysis community to develop more efficient, effective, and innovative methods.
This project deals with the mathematical and numerical modeling of the cardiovascular system. Though inspired by concrete applications in medicine and bioengineering, it focuses mainly on the methodological aspects. Indeed, despite the impressive advancements of the last 20 years in the development of mathematical models for the cardiovascular system, there is still a strong need of improving these tools to make them more reliable, accurate, efficient and capable of treating the complexity of real life problems of medical relevance.
This project is in strict partnership with CNR-INSEAN, the Italian marine experimental basin, located in Rome in the framework of the technical cluster Trasporti 2020.
It deals with the development of advanced numerical methods for the simulation, optimization and control of complex systems related with CFD.
The range of methodologies under development goes from iso-geometrical techniques to reduced order methods, as well as parameter space studies for complex problems.
Partners: SISSA, Politecnico di Torino, University of Pavia and University of Brescia. Coordinator: Prof. Gianluigi Rozza
Development of computational reduction methods for the simulation, optimization and control of complex systems in CFD and coupled problems (eg Fluid-Structure Interaction Problems).
People involed at SISSA: Prof. Gianluigi Rozza, Dr Luca Heltai, Dr Francesco Ballarin, Dr Nicola Cavallini, Mr Giuseppe Pitton, Mr Giovanni Corsi, Mr Filippo Salmoiraghi.
The project investigates digital simulation methods for the state of exhaust emission particles, from the engine to detachment from the hull, and then tries different geometries and virtual hydro-aerodynamic appendices and, finally, define the optimal geometries for the exhaust manifold for the purposes of hydrodynamic and environmental emissions efficiency. The expected results are:
• an innovative configuration of the exhaust manifold
• high-fidelity and simplified methods for the prediction of its performance.
The project aims to develop a computational ecosystem for industrial environments in which to tackle the hydrodynamic design of the hull-propeller system. Based on high-performance computing infrastructure integrated with innovative remote viewing technologies, the ecosystem will allow instant viewing of the pre- and post-processing of large amounts of data generated by high-resolution CFD simulations. The ecosystem developed will solve the problems identified in the project OpenSHIP and its adoption by the industry will be promoted.
