Development of an integrated game theory-optimization subground stratification model using cone penetration test (CPT) measurements

Abstract The continuous cone penetration test (CPT) measurements provide an advantageous liable rapid tool for stratification and soil behavior classification that can be employed in the sustainable design of infrastructures. However, CPT are often interpreted by geotechnical experts because involved complexities uncertainties. In this study, a novel type (SBT) model is developed to identify transition thicker layers integrating knowledge with three submodels (a) locally estimated scatterplot smoothing (LOESS), (b) game theory known as Nash–Harsanyi (N–H) bargaining, (c) grey wolf optimizer (GWO). LOESS integrated N–H bargaining-GWO models are, respectively, used approximate outliers SBT layer changes. Attractively, proposed model, engineer has opportunity judge on precision profile regarding their own preferences project. Solving simple algebraic equations, high speed, identifying thick interlayer layers, small required training data other advantages model. Finally, applicability been assessed example. compared two models’ profiles highlighted potential thin layers.