1. Investigación

The resilient modulus (MR) of different pavement materials is one of the most important input parameters for the mechanistic-empirical pavement design approach. The dynamic triaxial test is the most often used method for evaluating the MR, although it is expensive, time-consuming, and requires specialized lab facilities. The purpose of this study is to establish a new model based on Long Short-Term Memory (LSTM) networks for predicting the MR of stabilized base materials with various additives during wet-dry cycles (WDC). A laboratory dataset of 704 records has been used using input parameters, including WDC, ratio of calcium oxide to silica, alumina, and ferric oxide compound, Maximum dry density to the optimal moisture content ratio (DMR), deviator stress (σd), and confining stress (σ3). The results demonstrate that the LSTM technique is very accurate, with coefficients of determination of 0.995 and 0.980 for the training and testing datasets, respectively. The LSTM model outperforms other developed models, such as support vector regression and least squares approaches, in the literature. A sensitivity analysis study has determined that the DMR parameter is the most significant factor, while the σd parameter is the least significant factor in predicting the MR of the stabilized base material under WDC. Furthermore, the SHapley Additive exPlanations approach is employed to elucidate the optimal model and examine the impact of its features on the final result.

The scientific understanding of the concepts of cold and heat that have accompanied the human species throughout history has not been easy. The concept of heat is more widespread and studied among us, as well as its consequences. However, we wonder what would happen if we lowered the temperature a lot? As the temperature begins to drop, it can be predicted that the atoms tend to slow down, slowing down their speed, and when this happens, existing theories begin to tremble. The laws governing the atomic world, so small and tiny, do not allow objects (atoms, protons, neutrons, etc.) to stop. This is where quantum physics appears, it tells us how particles behave at the atomic level, and they appear in a forceful way when we approach temperature values around absolute zero. If atoms stopped moving, they would have zero energy, however, quantum mechanics makes it impossible to have this kind of energy.