Investigation of Standardization Practices for a Responsible Use of Computational models in Engineering (SPRUCE)
| Reference number | |
| Coordinator | RISE Research Institutes of Sweden AB - RISE Safety, Göteborg |
| Funding from Vinnova | SEK 845 000 |
| Project duration | March 2019 - September 2020 |
| Status | Completed |
| Venture | Strengthening Sweden’s role in international standardization |
| Call | Standardization in order to gain access to new markets |
Purpose and goal
The information collected from the literature review, the survey and the workshop was analyzed to delineate a meaningful map of the needs and opportunities associated to standardization of numerical simulations in industry. Thanks to the network of clients and co-workers shared by the partners, the project had access to a selection of practitioners who adequately represented the variety of expertise and branches of Swedish industry. The definition of strategies to promote standardized practices in engineering simulations could not be adressed here and it is left for future work.
Expected results and effects
The outcomes of the project suggest that standardization strongly facilitates the process of building confidence in the results of numerical simulations. Beneficial effects of standardization are expected in areas such as Analysis Management, Simulation Governance and Certification by Simulation. The dissemination of project results (e.g. through peer-reviewed articles and conference presentations) should raise the awareness about risks and opportunities associated to standards for engineering simulations and motivate further work for their wider adoption in industry.
Planned approach and implementation
The role of standardization in quality assurance of engineering simulations was investigated by reviewing the technical literature, conducting a survey among practitioners in Swedish industry and presenting the analysed data at an open remote workshop. The survey was developed within the project and it included questions on analysis techniques (e.g. FEA, CFD, system modelling), process and data management and credibility assessment of the results. Potential respondents were identified in the professional network of the project team and contacted for a face-to-face interview.