Dissertação PPG.EGPSA
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/3
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5 resultados
Resultados da Pesquisa
Item Reaproveitamento de resíduos de gesso como contribuição da construção ecológica na cidade de Manaus/AM(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) MORAES, Rosalina Siqueira; ALENCAR, David Barbosa dePopulation growth and industrial and urban development have contributed to the increase in waste generation, including gypsum. Gypsum is obtained by heating the raw material, gypsum, to approximately 140°C to 160°C, followed by grinding. The speed at which the reaction occurs results in a large amount of material being wasted. Following a modification of CONAMA Resolution No. 307, gypsum became category B, waste that can be recycled or reused, making gypsum waste recycling mandatory and viable. Due to few tax incentives and the high cost involved, construction waste often ends up being deposited in inappropriate locations. This study aims to diagnose the generation of gypsum waste in construction companies in the city of Manaus, evaluate the technical characteristics of recycled gypsum produced on a pilot scale, and propose a new applicability for the ecological construction production chain. The results indicated that recycled gypsum exhibited technical properties comparable to conventional gypsum, reinforcing the feasibility of its reuse in civil construction.Item Aplicação da teoria dos jogos na otimização de processos para redução do tempo construtivo de habitações populares(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SOUZA, Silvia Cristina Matos de; ALENCAR, David Barbosa deThis work aims to apply a model of game theory in the optimization of processes to reduce the construction time of popular housing, demonstrating the management process of the agents involved in the construction context, optimizing collaboration and efficiency. The housing deficit and inadequate living conditions of low-income populations are problems exacerbated by unplanned population growth and lack of urban infrastructure, impacting quality of life. The research developed a model based on game theory to optimize construction processes, allowing the definition of cooperative and non-cooperative strategies among the agents involved. The methodology used was descriptive research with a quantitative approach, applying game models for simulation and decision-making analysis in the civil construction sector. The results proved that the application of game theory helps reduce the construction time of popular housing by encouraging cooperation among stakeholders, making the process more efficient and reducing waste. It is concluded that resource rationalization and the application of strategic incentives can transform competitive situations into opportunities for cooperation, promoting efficiency in the construction sector.Item Gestão de resíduos sólidos na construção civil: tipologia e práticas de disposição final(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) BEZERRA, Eliane Sigrid Lacerda dos Reis; CAMPOS, Paola SoutoWaste generated by construction causes significant environmental impacts, consuming around 40% of global natural resources and generating approximately 1 billion tons of solid waste annually. This case study, carried out at a construction site in Manaus, analyzes solid waste management practices in construction and proposes strategies to promote sustainable development. The research highlights the application of CONAMA Resolution No. 307/2002 for the classification and management of construction and demolition waste (RCD) and the search for integrated solutions such as recycling and reuse directly on site.Item Análise das propriedades mecânicas do concreto com adição de seixo e polietileno tereftalato (PET)(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) BEZERRA, Antonio Carlos Lapa; ALENCAR, David Barbosa deThe increasing production of plastic waste, particularly Polyethylene Terephthalate (PET), poses a significant environmental challenge due to its long degradation time and negative environmental impact. This study investigates the feasibility of using ground PET as a partial replacement for fine aggregate (sand) in concrete production. Mixtures with 0%, 10%, 30%, and 50% sand replacement by PET were prepared. Tests at 28 days of curing showed that PET addition in certain proportions maintained the required strength and provided environmental benefits, such as reducing natural sand extraction and reusing plastic waste, reinforcing the technical and environmental viability of using recycled PET in concretes.Item Estimativa do custo do metro quadrado habitacional popular na cidade de Manaus baseado nos principais insumos, usando redes neurais artificiais(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-06-12) FROTA, Arlindo Rubens De Oliveira; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798Civil construction is one of the most expressive sectors in the economy, development and employability in the national territory. It is considered one of the branches that demonstrates the expansion and wealth of a country, where social housing is directly linked to socioeconomic development. According to the IBGE, in 2020, Manaus has 653,618 homes, of which 348,618 are classified as subnormal agglomerations, that is, stilt houses and unhealthy occupations and/or difficult to access. It can be said that one of the major obstacles to the construction of low-income housing is the lack of predictability of the behavior of costs during the execution of the work. This factor is even more pronounced in subdivisions and housing complexes, that is, in mass production, due to quantity. In order to mitigate these challenges, a tool was implemented, based on the concepts of ANN - Artificial Neural Network, which compiles 2 civil construction cost tables and predicts the cost of popular housing based on the value of the main inputs. This network seeks to estimate the cost per square meter of construction of popular housing in the city of Manaus. MATLAB® software was used, where data from the CUB and INCC tables were compiled. The inputs used were those contained in the so-called “basic batch”, recommended by the CUB. Quickly and practically without cost, the developed tool can predict the cost of the square meter of popular housing, in the city of Manaus, from the stipulation of the inputs. ANN was able to present a very strong correlation in the sources of its sample space, thus demonstrating that the tables, despite presenting different data collection and treatment, in addition to being elaborated by different institutes, present compatibility in their databases, which is reflected in the veracity and reliability of the data collected and processed. After estimating several statistical indices, it is clearly noted that this is a tool that has proven to be efficient and safe for estimating future costs.