Fire engineering is a rapidly evolving area of science, engineering, social and economic endeavour.
A significant proportion of the OFR Consultants team have a background in research through their formal education and previous professional experience. We recognise the value of being involved in research to maintain our position at the forefront of fire engineering practice and innovation. Our development and sharing of knowledge involves in-house projects and the application of research to projects, often through collaboration with other industry, public and academic organisations.
Formal and informal links are maintained with several Universities around the UK and further afield including the University of Sheffield, the University of Manchester and the University of Edinburgh in the UK, the University of Canterbury in New Zealand and the University of Ghent in Belgium. We contribute to the supervision of thesis students, pass on practical knowledge to the next generation of fire engineers as well as collaborating with academic staff on research publications.
We regularly publish papers in international peer-reviewed journals, industry publications and present at major conferences. The team are also often asked to carry out reviews for journals such as Fire Safety Journal, Fire Technology, Fire and Materials and the Journal of Fire Sciences. Several OFR Consultants staff are represented on standards committees including the revision to PD 7974. We are also active on the recently convened Fire and Smoke Modelling Forum.
A list of recent publications and ongoing projects are available on the OFR ResearchGate webpages.
Tall building façade fire incident database
In late 2017 OFR Consultants was awarded seed funding through the Council on Tall Buildings and Urban Habitat (CTBUH) to conduct exploratory research to identify existing reviews of façade fires on tall buildings, to create a database of relevant façade fire incidents and to examine where the emerging field of machine-learning might be applied to the analysis of the data.