https://repositorio.ifgoiano.edu.br/handle/prefix/252 Wed, 15 Jul 2026 08:58:06 GMT 2026-07-15T08:58:06Z http://repositorio.ifgoiano.edu.br:80/retrieve/314/Engenharia-Civil.png https://repositorio.ifgoiano.edu.br/handle/prefix/252 https://repositorio.ifgoiano.edu.br/handle/prefix/6773 Título: ESTUDO COMPARATIVO DA ESTABILIDADE DE EDIFÍCIOS DE MÚLTIPLOS PAVIMENTO ENTRE LIGAÇÕES RIGÍDAS E SEMIRRÍGIDAS Autor(es): Oliveira, Guilherme Honorato Primeiro Orientador: Bernardes, Heitor Cardoso Abstract: Analyzing global instability in multi-story buildings is crucial for precast concrete structures, which may exhibit varying degrees of stiffness or sway depending on the beam-column connections. These connection stiffness characteristics can reduce bending moment transmission, thereby increasing horizontal displacements and influencing foundation forces— particularly under wind loads. This study aims to compare the structural behavior of two-dimensional precast plane frame models under two connection conditions: rigid and semi-rigid. The analysis evaluates horizontal displacements, global stability, and foundation moments using the γz coefficient method and P-Δ analysis to account for second-order effects. The results indicate that adopting semi-rigid connections reduces the structure's overall stiffness, leading to greater lateral displacements and increased foundation forces compared to a rigid model. This highlights the importance of accurately modeling connection stiffness to realistically predict structural behavior. It is concluded that accounting for moment redistribution effects associated with connection stiffness is essential for assessing global stability in precast structures, thereby contributing to greater safety and reliability in structural design. Editor: Instituto Federal Goiano Tipo: Trabalho de Conclusão de Curso Thu, 25 Jun 2026 00:00:00 GMT https://repositorio.ifgoiano.edu.br/handle/prefix/6773 2026-06-25T00:00:00Z https://repositorio.ifgoiano.edu.br/handle/prefix/6591 Título: DIAGNÓSTICO DAS CONDIÇÕES DE SEGURANÇA CONTRA INCÊNDIO EM EDIFICAÇÕES HISTÓRICAS: ESTUDO DE CASO CASARÃO FEDERICO GONZAGA JAYME EM RIO VERDE – GO Autor(es): Ferreira, Pedro Vitor de Paula Primeiro Orientador: Campos, Bruna Abstract: This study presents a diagnosis of the fire safety conditions of the Frederico Gonzaga Jayme Mansion, an important historic landmark in Rio Verde – GO. Built in 1888, the building is currently in a state of abandonment and structural degradation, worsened by legal disputes. Fire risk assessment involves several factors, including fire load, building classification, emergency access conditions, and other elements related to the building's construction characteristics and use. In this context, this study aimed to analyze the fire risk in a historic building through a case study of the Frederico Gonzaga Jayme Mansion, located in the municipality of Rio Verde – GO. For the assessment, the fire risk analysis method proposed by Professor Antônio Maria Claret Gouveia was adopted — a methodology designed exclusively for analyzing fire risk in such sites, which differs from modern standards that require structural modifications in listed buildings. The work on the historic landmark protected by the municipality of Rio Verde, known as "O Casarão," is under imminent risk of total loss, making immediate intervention by public authorities and preservation agencies imperative. Technical restoration and the implementation of adequate safety measures are the only viable paths to ensuring the safeguarding of historical memory and the integrity of the municipal architectural heritage. Editor: Instituto Federal Goiano Tipo: Trabalho de Conclusão de Curso Tue, 28 Apr 2026 00:00:00 GMT https://repositorio.ifgoiano.edu.br/handle/prefix/6591 2026-04-28T00:00:00Z https://repositorio.ifgoiano.edu.br/handle/prefix/6503 Título: APLICAÇÃO DE ALGORITMOS DE APRENDIZADO DE MÁQUINA NA ESTIMATIVA DO FATOR DE SEGURANÇA DE TALUDES COM DADOS SIMULADOS PARA DIFERENTES MÉTODOS DE EQUILÍBRIO LIMITE Autor(es): Costa, Lucas Soares Primeiro Orientador: Chaves, Charles Pereira Primeiro Membro da Banca: Silva, Philippe Barbosa Segundo Membro da Banca: Cavalcante, André Luis Brasil Abstract: Slope stability is a fundamental aspect of geotechnical engineering and plays a crucial role in ensuring the safety and performance of civil and environmental engineering projects. Traditional slope stability assessments rely on limit equilibrium methods, such as those developed by Fellenius, Bishop, Janbu, and others, which evaluate the safety factor based on simplified assumptions about soil behavior. With the evolution of computational tools, geotechnical software has made it possible to conduct more realistic and complex simulations, enhancing the reliability of engineering designs. Recently, artificial intelligence techniques, especially machine learning, have emerged as promising tools for improving slope stability analysis by better addressing uncertainties and reducing the limitations of conventional methods. This study proposes the development of a predictive model using machine learning algorithms trained on simulated data generated from geotechnical software. The objective is to evaluate the performance of different algorithms in estimating the safety factor of slopes and to compare their accuracy and efficiency with traditional methods. The research aims to contribute to the advancement of AI applications in geotechnical engineering and to promote safer, more efficient design practices. Editor: Instituto Federal Goiano Tipo: Trabalho de Conclusão de Curso Mon, 23 Mar 2026 00:00:00 GMT https://repositorio.ifgoiano.edu.br/handle/prefix/6503 2026-03-23T00:00:00Z https://repositorio.ifgoiano.edu.br/handle/prefix/6329 Título: ESTUDO DE CASO DA UTILIZAÇÃO DO BUILDING INFORMATION MODELING (BIM) NA COMPATIBILIZAÇÃO DO EMPREENDIMENTO WAVE GARDEN MARINGÁ Autor(es): Souza, Guilherme Carlos Roque Vieira; Cardoso, Gabriel Monteiro Primeiro Orientador: Dias, Jéssica Nayara Abstract: The Architecture, Engineering, and Construction (AEC) industry has historically faced challenges related to process fragmentation and communication failures, where the use of traditional two-dimensional representations often results in incompatibilities detected only at the construction site. In this context, Building Information Modeling (BIM) emerges as a methodology capable of integrating information and multidisciplinary projects developed in different software, and anticipating solutions. This study aimed to analyze the design coordination process using the BIM methodology by applying clash detection techniques in a case study of the Wave Garden Maringá commercial development. The methodology involved structuring a federated model using Autodesk Navisworks software, integrating the Architecture, Structure, and Installation disciplines. Automated tests based on a clash matrix were conducted, followed by a critical analysis to filter false positives and manage conflict resolution with the designers. The results indicated the identification of real conflicts (issues) that required design corrections, in addition to presenting an estimate of cost optimization derived from the prevention of rework. Thus, this work demonstrates the effectiveness of early coordination in mitigating risks and ensuring the economic viability of complex projects. Editor: Instituto Federal Goiano Tipo: Trabalho de Conclusão de Curso Wed, 10 Dec 2025 00:00:00 GMT https://repositorio.ifgoiano.edu.br/handle/prefix/6329 2025-12-10T00:00:00Z