The IDEAL cracking test was developed in 2019 in the Texas A&M Transportation Institute as an alternative to evaluate the fracture tolerance of asphalt mixtures by the same indirect tensile strength test but with a different interpretation. In this methodology, the fracture area is described as a plane surface. However, the fracture of the asphalt mix is characterized by its irregularity and a non-uniform failure surface. For this reason, this work presents a model to determine the actual area of the failure for a set of asphalt mixtures with different characteristics using a 3D scanner. The main goal is to determine a possible correction factor of the actual fracture surface and observe the IDEAL test modification. This study shows that it is possible to standardize the correction factor for four of the five mixtures.
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In the industry and academia, large-scale equipment has been developed, which requires control systems that provide safety and efficiency with the lowest possible energy consumption. In the industrial cascade control system, nested controllers have been a versatile tool for the control of large-scale equipment. Research shows that these types of controllers improve their performance with the integration of artificial intelligence algorithms and prevention methods against controller saturation. For this reason, this paper presents the development of a fuzzy proportional-integral-derivative (PID) controller in cascade with anti-windup (AW) for full-scale test equipment for pavements. In this study, the mathematical expressions for the equipment, the design of the controller and additional systems for comparison, simulation and analysis are developed. The main objective is to test the functionality of this type of nested controllers for these systems.
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