Abstract: A laboratory study was undertaken to evaluate the influence of three cementitious additives on the indirect tensile and fatigue behavior of two subgrade soils. Hydrated lime (or lime), class C fly ash (CFA), and cement ...

Abstract: Artificial neural network (ANN), support vector machine (SVM), and Gaussian process regression (GPR) were developed in this study for predicting resilient modulus (Mr) values of cementitously stabilized subgrade soils. A ...

Abstract: A laboratory study was undertaken to evaluate the effectiveness of different percentages of hydrated lime, class C fly ash (CFA), and cement kiln dust (CKD) as soil stabilizers. Cylindrical specimens were compacted and ...

Abstract: Cracking is considered a vital distress in a pavement structure. It generally initiates and propagates (bottom up and/or surface down) causing damage to the overall pavement structure. Most previous numerical modeling ...

Abstract: Artificial neural network (ANN) models are developed in this study to correlate resilient modulus with routine properties of subgrade soils and state of stress for pavement design application. A database is developed ...