Prediction of frictional characteristics of bituminous mixes using group method of data handling and multigene symbolic
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ORIGINAL ARTICLE
Prediction of frictional characteristics of bituminous mixes using group method of data handling and multigene symbolic genetic programming Madhu Lisha Pattanaik1 · Rajan Choudhary1 · Bimlesh Kumar1 Received: 13 March 2019 / Accepted: 12 June 2019 © Springer-Verlag London Ltd., part of Springer Nature 2019
Abstract A safe road transport requires adequate friction between vehicle tires and pavement surface for safe travels. Adequate friction is essential for a vehicle to safely maneuver. Inadequate friction is directly correlated to the accident hazard, particularly in wet weather conditions. Quality of pavement materials has a prodigious effect on skid resistance and high-quality materials allow adequate pavement frictional resistance for an extended period. Science evaluation of frictional characteristics depends on physical, chemical, and mineralogical properties of the aggregate, type of mix, binder/bitumen content, water film thickness, etc., and it necessities a costly and time-consuming test protocol. In the present research, a model is developed for the evaluation of skid resistance in terms of the British pendulum number (BPN), using experimental observations, with the aid of machine learning tools. In the present work, group method of data handling (GMDH) and multigene symbolic genetic programming (MSGP) have been used to model the BPN. Developed model is capable to simplify extremely nonlinear deviations in data as well as forecast the frictional performance from experimental data. It is also found that the performance of the MSGP (R2 = 0.99) is more encouraging and better than that of the GMDH model (R2 = 0.98) for the prediction of BPN. The analytical expression obtained through MSGP in the present study has been also subjected to sensitivity analysis to assess the effect of individual parameters in prediction of BPN. Keywords Friction · Skid resistance · British pendulum number · Multigene symbolic genetic programming · Group method of data handling
1 Introduction Frictional resistance in wet weather conditions is a noteworthy functional requirement of road pavements. Wet roads are more prone to accidents than the flooded one. This is owing to the fact that the friction due to thin water film is very little despite the superficially safe characteristic of the pavement [11], as the drivers implement inappropriate maneuvers (ex. maintaining high speed) with respect to the offered friction. * Bimlesh Kumar [email protected] Madhu Lisha Pattanaik [email protected] Rajan Choudhary [email protected] 1
Department of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India
Hydroplaning/aquaplaning and viscoplaning are two important phenomena that occur under the wet weather conditions. Vehicles moving at high speed over a wet pavement surface with a thick (greater than 1 mm) and thin (less than 1 mm) depth of water are highly prone to hydroplaning and viscoplaning, respectively. However, a heavy rain intensity of about 10 mm/h is needed
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