Estudo da suscetibilidade ao efeito Tschebotarioff em estacas por meio de lógica difusa

Abstract

Geotechnical analysis is one of the most relevant factors for the design of engineering works, since knowing the properties of the soil where the work is located makes it possible to determine the best solutions for its design. When working with soft soils, most of the time it is recommended to use piles for the foundations of the superstructure, however these piles can suffer serious structural problems, due to phenomena such as the Tschebotarioff effect, which occurs due to asymmetrical loads on the ground surface, with the presence of soft soils, which can generate horizontal stress on the piles. This work aims to calibrate an intelligent model, using fuzzy logic, to estimate the susceptibility to the occurrence of the Tschebotarioff effect in piles driven in soft soils. The work methodology consists of determining the most influential parameters for the occurrence of the Tschebotarioff effect, transforming these parameters into input and output linguistic variables, developing fuzzy rules that consist of the combination between the input variables resulting in an output response and calibrating the intelligent model using this information. From the analysis of the results obtained by the intelligent model, it is clear that the variables that most lead to the occurrence of the phenomenon under study are the load on the soil surface and the distance that the piles are from the load, where for piles close to the load, encounter the greatest bending efforts. Finally, by carrying out this work it was possible to develop a tool that can assist the engineer in making decisions, as it can provide information regarding the bending efforts in the pile, thus helping in the adequate dimensioning of these foundations, avoiding problems such as the Tschebotarioff effect.