https://repositorio.ufu.br/handle/123456789/5144 2026-08-25T13:30:24Z 2026-08-25T13:30:24Z https://repositorio.ufu.br/handle/123456789/49801 2026-08-25T06:20:10Z 2026-02-26T00:00:00Z

Title: Análise térmica de habitações emergenciais em contêineres situados em cidades portuárias pertencentes a diferentes zonas bioclimáticas Abstract: The growing need for sustainable housing solutions that can be implemented quickly in emergency situations caused by natural disasters, conflicts, and humanitarian crises has been growing exponentially. In line with this demand, the choice of containers for housing purposes is well suited to these situations due to the accumulation of disused modules in ports and the potential for reusing these structures as modular elements in civil construction. Although containers are a good construction solution for this purpose, they present challenges in relation to overheating inside. The literature presents studies on insulating elements associated with the envelope in order to reduce heat gains, but studies that correlate the use of containers as housing with bioclimatic thermal adaptation strategies are scarce. In this sense, this research aimed to analyse the thermal performance of emergency housing in shipping containers in different port cities located in different bioclimatic zones. The analyses were performed using computer simulations integrating BIM-BES with Revit and Design Builder software. Natural ventilation and shading strategies were tested, as well as three types of roofing: thermoacoustic with EPS, reflective, and green roof. For the envelope, the application of thermal insulation previously tested in the study by Da Costa et al. (2024) was considered. The simulation scenarios were developed based on a combination of bioclimatic strategies and applied in the port cities of Santos (AF), Los Angeles (CSA), and Shanghai (CFA). The results indicated that for Santos, the combination of shading, ventilation and green roof strategies (MVSV) showed a reduction of up to 14.47ºC and an increase of up to 9 hours within the operating temperature range in summer, at critical times. For Los Angeles, the same solution (MVSV) proved to be efficient in this same scenario, with a reduction of 11.33ºC and an increase of up to 8 hours within the limit range. For Shanghai, the combined use of shading and green roof strategies stands out, reducing temperatures by up to 11.85ºC and remaining 7 hours longer within the operating temperature limits. It was observed that the use of bioclimatic strategies can mitigate the problems of internal overheating in this type of housing, providing better conditions of use and reducing the need for mechanical cooling/heating systems.

2026-02-26T00:00:00Z https://repositorio.ufu.br/handle/123456789/49708 2026-08-21T06:20:14Z 2026-07-29T00:00:00Z

Title: Desenvolvimento de um modelo constitutivo para solos arenosos reforçados com fibras utilizando redes neurais artificiais Abstract: The reinforcement of sandy soils with randomly distributed fibers significantly improves their mechanical properties, posing challenges to constitutive modeling due to complex nonlinear interactions between the matrix and the reinforcement. This work develops a constitutive model based on Artificial Neural Networks (ANN) to predict the stress-strain behavior of a uniform sand reinforced with polymeric fibers. The methodology employs a two-phase hybrid approach, combining experimental triaxial test data with synthetic data generated through an adapted Modified Cam-Clay model. The experimental database, obtained at the Federal University of Bahia, encompasses fiber contents of 0%, 0.5%, and 1.0%, fiber lengths of 12.5, 25, and 51 mm, and confining stresses of 50, 100, 200, and 300 kPa; from it, the 24 conventional drained triaxial compression tests were used, totaling 1,207 points. The synthetic data generation produced about 19.5 thousand points across 42 scenarios, expanding the experimental domain to include intermediate confinement levels. The adopted architecture is a multilayer perceptron (MLP) neural network that directly maps the test conditions and the axial strain level onto the state variables of interest, namely the deviatoric stress, the mean effective stress, and the volumetric strain. Training combines pre-training with the physically consistent synthetic data and finetuning, through transfer learning, with the experimental data. Validation, carried out by exhaustive leave-one-out cross-validation, yielded an aggregate coefficient of determination of 0.977 for the deviatoric stress, 0.991 for the mean effective stress, and 0.914 for the volumetric strain. The model reproduces the progressive mobilization of the fibers, the peak strength, and the transition to dilatant behavior, offering a computationally efficient alternative to traditional analytical models that are difficult to calibrate.

2026-07-29T00:00:00Z https://repositorio.ufu.br/handle/123456789/49701 2026-08-20T06:25:05Z 2026-07-09T00:00:00Z

Title: Análise comparativa do fluxo veicular em duas seções da Avenida Governador Rondon Pacheco na cidade de Uberlândia (MG) Abstract: This study comparatively analyzes the behavior of vehicular flow in two sections of Governador Rondon Pacheco Avenue, in the city of Uberlândia, Minas Gerais, considering different periods of the day and directions of traffic. The research was conducted by processing original video recordings made by the author at the Carlos Saraiva and José Rezende Ribeiro overpasses, in three time periods: morning, intermediate period, and late afternoon. The videos were processed with computational support, using automated vehicle detection and tracking, and the data were organized into 15-minute intervals for the analysis of traffic volumes and the Peak Hour Factor. The results indicated relevant differences between the analyzed points and between the directions of traffic. In the west-east direction, the point corresponding to the José Rezende Ribeiro overpass presented higher volumes in all periods, with the greatest difference occurring in the morning. In the east-west direction, the point corresponding to the Carlos Saraiva overpass presented higher volumes in the morning and in the intermediate period, while in the late afternoon the results were practically balanced. The Peak Hour Factor values ranged from 0.836 to 0.963. Lower values indicate a greater concentration of traffic in specific 15-minute intervals, while values closer to 1.00 represent a more uniform distribution throughout the peak hour. It is concluded that Rondon Pacheco Avenue does not present uniform behavior along its length, being influenced by the urban and operational characteristics of each segment. Video-based counting proved adequate for organizing and comparing the data, although the analysis was limited to two sections and specific periods of the day.

2026-07-09T00:00:00Z https://repositorio.ufu.br/handle/123456789/49670 2026-08-20T06:25:13Z 2026-04-27T00:00:00Z

Title: Análise numérica tridimensional de bloco de coroamento - estudo de caso Abstract: This study presents a three-dimensional numerical analysis of an alternative solution adopted for a deep foundation after the impossibility of executing one of the piles originally specified in the design. The initial system consisted of a pile cap supported by four reinforced concrete piles, which was replaced by a configuration with three piles interconnected by diagonal beams in an “X” arrangement. The analysis was carried out using the RS3 software based on the Finite Element Method, considering the soil-structure interaction between the pile cap, piles, and surrounding soil mass. The behavior of the conventional and alternative solutions was compared in terms of load-bearing capacity, stiffness, and load distribution. The results indicate that the alternative solution presents a reduction in admissible load capacity and increased deformability, associated with a non-uniform redistribution of loads among the piles. It is concluded that, although the alternative solution is technically feasible, its performance is inferior to the conventional system, and its adoption should be supported by specific analyses to ensure foundation safety and efficiency.

2026-04-27T00:00:00Z