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Nonlinear Interpretation of Resilient Modulus Parameters Considering Incremental Static and Dynamic Loading
Adrian Ricardo Archilla, Phillip S.K. Ooi and Saroj Pathak Transportation Research Record: Journal of the Transportation Research Board 2679(1) 1888 (2025) https://doi.org/10.1177/03611981241257508
Backcalculation of in-situ nonlinear viscoelastic properties of subgrade using a finite element-based machine learning approach
Development of an Artificial Neural Network-Based k-Value Prediction Model to Improve the Sensitivity of Base Layer on Rigid Pavement Performance
Sajib Saha, Fan Gu, Xue Luo and Robert L. Lytton Transportation Research Record: Journal of the Transportation Research Board 2677(5) 1290 (2023) https://doi.org/10.1177/03611981221143114
Prediction of the resilient modulus of non-cohesive subgrade soils and unbound subbase materials using a hybrid support vector machine method and colliding bodies optimization algorithm
Evaluation of Carbonation Effects on Cement‐Solidified Contaminated Soil Used in Road Subgrade
Yundong Zhou, Lingling Pan, Qiang Tang, Yu Zhang, Na Yang, Cong Lu and Estokova Adriana Advances in Materials Science and Engineering 2018(1) (2018) https://doi.org/10.1155/2018/5271324
Use of an Artificial Neural Network Approach for the Prediction of Resilient Modulus for Unbound Granular Material
Sajib Saha, Fan Gu, Xue Luo and Robert L. Lytton Transportation Research Record: Journal of the Transportation Research Board 2672(52) 23 (2018) https://doi.org/10.1177/0361198118756881
Mechanistic-empirical models for better consideration of subgrade and unbound layers influence on pavement performance