Evaluation of optimization schemes and determination of solid fuel properties for CFD fire models using bench-scale pyrolysis tests
By M. Chaos, M. M. Khan, N. Krishnamoorthy, J. Ris, S. Dorofeev. 2011
181 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Environmental Engineering, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/30265650a1f6e5bc1a44bac5ef50adc0b9b891ac
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Citations in the corpus
- Pyrolysis of Medium-Density Fiberboard: Optimized Search for Kinetics Scheme and Parameters via a Genetic Algorithm Driven by Kissinger’s Method (2014, methodology): “Since the late 1990s, with the increase of computational capability new optimization techniques including the genetic algorithms (GA) [7,12,21-23], PEAKFIT [24,25] and least-squares method [4,26] have been adopted for the estimation of kinetic parameters.”
- On the effect of inverse modelling and compensation effects in computational pyrolysis for fire scenarios (2015, methodology): “modelling [10–12].”