OptiBike experiment funded under Fortissimo2 EU I4MS

Our project OptiBike (total cost 230K €) has been incorporated into the Fortissimo2 EU @i4ms project (n. 680481). Also this is the first EU-funded project at  and at HPC  laboratory of ICxT@UNITO.

We are looking forward for the kick-off.


Maximum loads and principal directions in Global Stiffness Load case.

Maximum loads and principal directions in Global Stiffness Load case

OptiBike: Robust Lightweight Composite Bicycle design and optimization

In the current design process for composite materials, the effect of manufacturing uncertainty on the structural and dynamic performances of mechanical structures (aeronautic, automotive and others) cannot be accurately assessed due to the limitations of the current computational resources and are hence compensated for by applying safety factors. This non ideal situation usually leads to overdesigned structures that could potentially meet higher performances with the same safety levels.
The objective of this experiment is to establish a design workflow and service for composite material modelling, simulation and numerical optimization that uses uncertainty quantification and HPC to deliver high performance and reliable composite material products. This design workflow can be applied to any composite material structure, from aeronautics to bicycles, and enables SMEs an easy to use and hassle-free access to advanced material design methodologies and the relative HPC infrastructures that allow the application of reliability based design optimization (RBDO). To demonstrate this design workflow, a full composite bicycle will be designed and optimized based on real manufacturing data provided by IDEC, a Spanish SME that provides unique design and manufacturing capabilities for composite materials.

The expected results of this experiment are:

  1. a design optimization approach for composite materials by means of uncertainty quantification techniques for reliability and robustness;
  2. a design optimization service that can be used by every user to perform reliability based product optimization (this will be demonstrated for the bicycle case of IDEC).


  • Noesis solution, Belgium (coord)
  • IDEC, Spain
  • University of Torino (Alpha, ICxT and C3S), Italy
  • Arctur, Slovenia


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About Marco Aldinucci

Marco Aldinucci is an assistant professor at Computer Science Department of the University of Torino since 2008. Previously, he has been researcher at University of Pisa and Italian National Research Agency. He is the author of over a hundred papers in international journals and conference proceeding (Google scholar h-index 21). He has been participating in over 20 national and international research projects concerning parallel and autonomic computing. He is the recipient of the HPC Advisory Council University Award 2011 and the NVidia Research award 2013. He has been leading the “Low-Level Virtualization and Platform-Specific Deployment” workpackage within the EU-STREP FP7 ParaPhrase (Parallel Patterns for Adaptive Heterogeneous Multicore Systems) project, the GPGPU workpackage within the IMPACT project (Innovative Methods for Particle Colliders at the Terascale), and he is the contact person for University of Torino for the European Network of Excellence on High Performance and Embedded Architecture and Compilation. In the last year he delivered 5 invited talks in international workshops (March 2012 – March 2013). He co-designed, together with Massimo Torquati, the FastFlow programming framework and several other programming frameworks and libraries for parallel computing. His research is focused on parallel and distributed computing.