http://repositorio.ifam.edu.br/jspui/handle/4321/778 2026-04-04T03:46:15Z 2026-04-04T03:46:15Z Oliveira, Gabrielly Marti de Araùjo, Débora Camilly Silva de Maciel, Jussara Socorro Cury http://repositorio.ifam.edu.br/jspui/handle/4321/1845 2026-01-19T16:54:07Z 2023-11-24T00:00:00Z

Título: Estudo sobre gestão de tráfego aéreo no aeroporto Eduardo Gomes em Manaus – Amazonas Autor(es): Oliveira, Gabrielly Marti de; Araùjo, Débora Camilly Silva de; Maciel, Jussara Socorro Cury Abstract: Air traffic management is a continuous process integrated into the transport flow, which is, of course, at social airports. Management occurs in a safe, economical and efficient way and is established through the provision of services and facilities, without noticeable limits between its components, and in collaboration with all parties. In view of the evolution of market competitiveness, where companies are increasingly seeking to be efficient in their flight itinerary logistics, globally, with no intention of meeting demands and expanding their market share, through good results. In the civil aviation sector, the government of the state of Amazonas also updated itself and implemented direct air transport logistics to international destinations. To this end, it was necessary to define a transport strategy where it was possible to have easy access to flight availability. The importance of Manaus developing an air transport logistics practice with flights without major stops to international destinations, had good results, mainly for the economy of the city and the northern region of the Brazilian country. There is a significant increase in investment in direct flights from Manaus to popularly known and desired countries. The objective of the work is to emphasize the expansion of logistics, focusing on the aerial production of services and products used by this means, in addition to external investments incorporated into political and private management. Tipo: Artigo de Evento

2023-11-24T00:00:00Z Maquiné, Aldenei de Lima Damasceno, Micael Felipe Feitoza, José Costa http://repositorio.ifam.edu.br/jspui/handle/4321/1755 2025-09-29T20:04:21Z 2025-07-21T00:00:00Z

Título: Controle de compactação dos solos por meio do frasco de areia com agregado miúdo da região metropolitana de Manaus-AM Autor(es): Maquiné, Aldenei de Lima; Damasceno, Micael Felipe; Feitoza, José Costa Abstract: Currently, the sand bottle is used for control soils compaction in most earth works in the Amazonas, relating the apparent specific mass "in situ" with the apparent specific mass dry according to the optimum humidity obtained in the laboratory. This is a geotechnical test using washed, dried and standardized sand in the granulometric range between 0.80 and 0.60 millimeters. This research replaces the sand in the standardized bottle, with fine aggregate from the metropolitan region of Manaus-AM. The granulometry tests indicate that the sand collected from this research is very uniform, well graded and has a maximum characteristic diameter equal to 1.19 mm. The predominant granulometric fraction classifies the particulate material from Manaus as medium sand (56.67%), with apparent dry specific mass and grain mass respectively equal to 1.5118 g/cm³ and 2.6042 g/cm³. Performed the field tests were carried out in the parking lot of the Instituto Federal do Amazonas (IFAM), Manaus Centro Campus, obtaining the apparent specific masses "in situ" with the standard sand bottles equal to 1,727.74 kg/m³ and with fine aggregate from Manaus the value of 1,620.13 kg/m³. The Degree of Compaction was satisfactorily evaluated based on the relative percentage error, with a view to paving in the Amazonas. Tipo: Artigo de Periódico

2025-07-21T00:00:00Z Mar, Brenda de Carvalho Feitoza, José Costa http://repositorio.ifam.edu.br/jspui/handle/4321/1752 2025-09-26T18:45:43Z 2025-04-13T00:00:00Z

Título: Geração dos resíduos de construção e demolição (RCD): causas e alternativas para a reciclagem no município de Manaus-AM Autor(es): Mar, Brenda de Carvalho; Feitoza, José Costa Abstract: The construction sector generates a large amount of construction and demolition waste (CDW), and its disposal remains a challenge for many companies. This study aims to identify the main causes of CDW generation and propose alternatives for recycling and reuse of these wastes in Manaus-AM. The research was conducted at a public agency responsible for housing, analyzing two construction projects over the last two years. Data was collected on waste separation, storage, and transportation, totaling 268,200.07m³ of CDW. A comparison with CONAMA Resolution No. 307/2002 revealed the need for improvements in waste management and disposal practices. The results indicate that, despite progress, there are still gaps in complying with environmental legislation. Tipo: Artigo de Periódico

2025-04-13T00:00:00Z Silva, Felipe Cavalcante da Aguiar, Cristiane Pereira de http://repositorio.ifam.edu.br/jspui/handle/4321/1748 2025-09-24T19:13:38Z 2025-09-04T00:00:00Z

Título: Entre avanços, construções e desafios: aplicação da inteligência artificial na Engenharia Civil Autor(es): Silva, Felipe Cavalcante da; Aguiar, Cristiane Pereira de Abstract: Artificial intelligence (AI) in civil engineering has revolutionized the sector, optimizing processes, reducing costs, and increasing efficiency. The application of AI covers several areas, such as predictive modeling, project automation, and construction monitoring. In planning and design, machine learning algorithms analyze large volumes of data to create more efficient and sustainable structural models. AI-based software assists in creating optimized designs, considering factors such as materials, environmental impact, and cost-benefit. In construction, automation and robotics, driven by AI, improve precision and safety. Drones and sensors monitor construction sites in real time, identifying structural flaws and preventing accidents. Additionally, AI systems can predict failures in existing infrastructures, enabling predictive maintenance and extending the lifespan of buildings. AI is also applied in project management, optimizing schedules and resource allocation. With predictive analysis, companies can avoid delays and waste, increasing productivity. In the future, it is expected that AI will continue transforming civil engineering by integrating with technologies such as BIM (Building Information Modeling) and IoT (Internet of Things), making constructions smarter, more sustainable, and safer. Tipo: Artigo de Periódico

2025-09-04T00:00:00Z