What makes an experiment truly groundbreaking, and how can researchers plan and execute such experiments in fire science? Join us as we chat with Professor Arnaud Trouve from the University of Maryland, a co-chair of the MaCFP group at the IAFSS, to uncover the answers to these burning questions. Arnaud offers valuable insights into the creation of a structured, repeatable, and accessible database of knowledge, and how to design experiments that will revolutionize fire science.

We dive into the challenges of gathering data from manufacturers who don't share their information and the difficulties in modelling phenomena like underventilated fires, flame spread, radiation and soot. Arnaud also emphasizes the importance of well-controlled, well-instrumented experiments in fire research, and the need for computer power to solve fundamental problems in fire science. Moreover, we discuss the MaCFP Workshop and the three different solvers that make up a fire model, touching on the importance of IAFSS's endorsement of MaCFP and the resources available to access the discussions from past workshops.

The main MaCFP repository can be found here and the GitHub here.

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