DAINFRA – Departamento Acadêmico de Infraestrutura

URI permanente desta comunidadehttps://ri.ifam.edu.br/handle/4321/530

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Análise dos serviços de manutenção nas edificações da Universidade Federal do Amazonas: identificação de manifestações patológicas e análise dos impactos financeiros na UFAM durante o período de 2020 a 2024
(2025-01-28) Trindade, Adriano Vitor Gonçalves; Vieira, Paulo Cezar Corrêa; http://lattes.cnpq.br/9365262483938738; Vieira, Paulo Cezar Corrêa; http://lattes.cnpq.br/9365262483938738; Takeno, Litiko Lopes; http://lattes.cnpq.br/7119868373955176; Santos, Luiz Eduardo Mateus dos; http://lattes.cnpq.br/5752567774043165
This research consists of an evaluation of open maintenance requests and those processed for payment at the Federal University of Amazonas from 2020 to 2024. Through a quantitative approach, this study sought to understand the statistical and financial impact of the evaluation object, with the intention of identifying the behavior of a public institution regarding related activities. The objective was to analyze the maintenance services in the university's buildings during the study period (2020-2024), emphasizing classifications by status, category, and environment, as well as monthly measurements. A consultation of open requests by applicants and those effectively paid through the GLPI and SEI systems was conducted. In the first case, 11,955 requests were processed, while in the second, the distribution of R$21,551,414.34 was studied over the five-year period (2020-2024). The research evidenced, in the observed context, a continuous increase in demands for preventive and corrective maintenance orders, reaffirming the importance of strategic planning that integrates preventive maintenance routines, more efficient contractual management, and budget predictability, serving as a source for future decision-making and public and institutional dimensioning.
Inteligência Artificial na construção civil: benefícios, desafios e a importância do profissional na tomada de decisão
(2025-03-03) Barboza, Tereza Nazaré Ulloa; Aguiar, Cristiane Pereira de
The research explores the impact of Artificial Intelligence (AI) on decision-making in the construction industry, particularly in the use of programs for the preparation of architectural projects. Although AI offers several opportunities for resource optimization, scenario simulation, and process automation, it also presents challenges, such as the dependence on automated systems that can compromise the quality of technical work. The study seeks to investigate the potential benefits and risks associated with the implementation of AI in the sector, with a focus on the creation and management of architectural projects. The methodology adopted involved bibliographic research based on academic articles, books, and recent case studies, with a thematic analysis: identifying the programs that are classified as AI and how they affect today's civil engineering scenario, their challenges, and benefits. The results indicate that, although AI can improve efficiency and reduce costs, its application without technical supervision can generate misinterpretation and legal problems, especially when users do not have specialized training. The research concludes that, in order to maximize the benefits of AI, it is essential that construction professionals continue to act critically, supervising technological tools and ensuring that projects comply with local standards and requirements. Therefore, AI should be seen as a complementary tool, and not as a substitute for the technical knowledge of professionals in the sector.
Utilização de resíduos da construção e demolição – RCD com aditivos plásticos (polietilenos) na construção de pavimento intertravado permeável “PAVERS”
(2022-04-29) Leite, Bruno de Lucas Ferreira; Lucena, Ana Maria Dias da Silva