Hybrid Model of LightGBM Regression and Grid Search Optimization for the Estimation of Permanent Deformation of Asphalt Mixtures Pavements

Authors

  • Hoang Ha University of Transport and Communications, Ha Noi, Vietnam
  • Tran Thi Thu Trang Le Quy Don University, Ha Noi, Vietnam
  • Dam Duc Nguyen University of Transport Technology, Ha Noi, Vietnam
  • Amjad Islam Department of Civil Engineering, Iqra National University, Peshawar, Pakistan
  • Hieu Trung Tran University of Transport Technology, Ha Noi, Vietnam
  • Indra Prakash 5DDG (R) Geological Survey of India, Gandhinagar, India
  • Binh Thai Pham University of Transport Technology, Ha Noi, Vietnam
Volume: 15 | Issue: 3 | Pages: 22901-22907 | June 2025 | https://doi.org/10.48084/etasr.10419

Received: 1 February 2025 | Revised: 5 March 2025 | Accepted: 9 March 2025 | Online: 11 April 2025


Corresponding author: Binh Thai Pham

Abstract

This study aimed to estimate the permanent deformation of Asphalt Mixtures (AMs) of pavements (Fn) utilizing a hybrid LGBM-GSO machine learning model, which combines Light Gradient-Boost Machine (LGBM) regression and Grid Search Optimization (GSO). In this study, input physical parameters, namely Filler (FP), fine aggregate (S), coarse aggregate (C), bitumen percent (BP), Marshall stability (M), Voids in Mineral Aggregate (VMA), air voids (Va), and Marshall flow (F) were used to predict Fn. Laboratory data from 118 AMs were analyzed. Model validation was carried out using various standard evaluation indicators, namely Mean Absolute Error (MAE), Root Mean Square Error (RMSE), R2 (determination coefficient), and learning curve. The proposed LGBM-GSO model (R2 = 0.943) performed well for the estimation of the Fn compared with the base model LGBM (R2 = 0.909), showing that LGBM-GSO is an effective tool for accurate Fn estimation, and GSO is an effective optimization technique for LGBM to improve prediction performance.

Keywords:

permanent deformation, asphalt mixtures, machine learning, grid search optimization, light gradient-boost machine

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[1]
Ha, H., Trang, T.T.T., Nguyen, D.D., Islam, A., Tran, H.T., Prakash, I. and Pham, B.T. 2025. Hybrid Model of LightGBM Regression and Grid Search Optimization for the Estimation of Permanent Deformation of Asphalt Mixtures Pavements. Engineering, Technology & Applied Science Research. 15, 3 (Jun. 2025), 22901–22907. DOI:https://doi.org/10.48084/etasr.10419.

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Copyright (c) 2025 Hoang Ha, Tran Thi Thu Trang, Dam Duc Nguyen, Amjad Islam, Hieu Trung Tran, Indra Prakash, Binh Thai Pham

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