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Dr Sung-Han Koo

PhD Thesis:

Forecasting fire development with sensor-linked simulation

A sensor-linked modelling tool for live prediction of uncontrolled compartment fires, K-CRISP, has been developed. The modelling strategy is an extension of the Monte-Carlo fire model, CRISP, linking simulations to sensor inputs which controls evolution of the parametric space in which new scenarios are generated, thereby representing real-time "learning" about the fire. K-CRISP was demonstrated in conjunction with measurements obtained from two sets of full-scale fire experiments. The approach adopted for steering is shown to be effective in directing the evolution of the fire parameters, thereby driving the fire predictions towards the measurements. The sensor-linked model proved to be capable of forecasting the fire development super-real-time and it was also able to predict critical events such as flashover and structural collapse.

Selected Publications

Awards

Previous projects

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BRE Centre for Fire Safety Engineering
The School of Engineering, University of Edinburgh
The King's Buildings, Mayfield Road, Edinburgh, EH9 3JL
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