Experimental–CFD Optimisation of Hydraulic Jet Reach for the GS Mark III Peatland Firefighting System
Wan Mohd NurulHisam Wan Nawang, Azfarizal Mukhtar, Mohd Zamri Yusoff, Ahmad Faiz Tharima, Adam C. Watts, Zarina Itam, Muhammad Nuruddin ZulkifleThe use of Computational Fluid Dynamics (CFD) with surrogate-based optimisation is increasingly becoming common in the design of fluid delivery systems although there are very few cases where it has been applied to fixed water-based fire suppression systems. This paper seeks to propose an integrated four-stage engineering methodology incorporating field experiment, internal flow CFD using the Shear Stress Transport (SST) k-ω turbulence model in ANSYS Fluent, coherent-stream trajectory analysis and response surface methodology based on third-order polynomial regression. The proposed method is used to design the GS Mark III which is a fixed sprinkler nozzle system used to extinguish subsurface smouldering peatland fires. The validation of the coupled CFD and trajectory analysis model for 3, 5, and 7 bar using the field measurement shows the error of the model ranging from 2.55 to 3.58%. The coherent-stream trajectory is modelled by direct integration of the equations of motion, with aerodynamic deceleration represented by a single lumped coefficient calibrated against the field data, since neither a bluff-body drag coefficient nor a skin-friction closure reproduces the measured reach. The design of a parametric model involving 20 nozzle geometries in terms of diameter (5–15 mm) and discharge angles (0–67.5°) yields a surrogate with R2 = 0.988, a root mean square error (RMSE) of 1.19 m and a mean absolute error (MAE) of 0.92 m. The surrogate locates the optimum at a diameter of 15 mm and a discharge angle of 38.26°, although the fitted response is flat between approximately 31° and 46°, so any angle within that band performs equivalently within the resolution of the model. The CFD simulation of the optimum (exit velocity = 32.121 m/s) gives a coherent-stream jet distance of 46.91 m, within 1.01% of the surrogate prediction. This represents a 25.9% improvement over the baseline configuration within the same modelling framework (37.25 m against 46.91 m), obtained at 2.28 times the baseline discharge, which the water supply must be able to sustain.