Resumo O crescimento da indústria da construção civil é de grande importância para a manutenção e sustentação da economia brasileira, mas essa indústria utiliza grande quantidade de recursos naturais e consequentemente gera grandes volumes de resíduos de construção civil (RCC). Esforços na minimização de RCC geralmente estão direcionados aos estágios de construção das obras, mas não ao estágio de projetos. Assim, a tecnologia BIM surge como uma importante ferramenta ao possibilitar uma melhor análise e controle da geração de resíduos. Este trabalho propõe um modelo BIM para estimar o RCC e o custo de retirada na fase de projeto, pois nela ainda são inexistentes ações visando estimar o resíduo a ser gerado em uma obra. Para isso, utilizaram-se etapas como a revisão sistemática da literatura, levantamento de índices de perdas e modelagem BIM. Os resultados obtidos revelaram que 10% dos RCC quantificados pertencem à classe B, e 90%, à classe A, sendo a argamassa o material com o maior potencial de desperdício, 56% da estimativa total. A modelagem através de dados estatísticos e indicadores pode contribuir na elaboração do plano de gerenciamento de resíduos de construção civil (PGRCC), aperfeiçoando, dessa forma, o planejamento, com redução do RCC.

The urbanization process represented by an increased supply of housing and transport infrastructure has taken place at an accelerated rate in several regions of Brazil, especially in the metropolitan areas of the Brazilian Amazon. Despite the existence of environmental policies that guide the proper disposal of civil construction waste (CCW) in Brazil, the impacts of these policies are still negligible, pointing to the need to establish other metrics such as the measurement of greenhouse gas (GHG) emissions in CO₂eq associated with civil construction waste. This work aims to evaluate, in the second-largest city in the Brazilian Amazon, the environmental impact generated by the transportation of CCW to disposal sites, having as indicators the volume of this waste and the CO₂ emissions produced during a whole year. A literature review on life cycle carbon emissions assessment in building construction and CO₂ emissions in transportation are provided to establish the background of the research methodology. Data collection was carried out by searching large generators of construction waste, the companies responsible for transporting construction waste, and the types of vehicles used. Calculation of GHG emissions from CCW transportation was based on the method described in the 2006 IPCC Guidelines. The study identified a volume of waste of around 1244 m³/month, with a generation of 40,440 kgCO₂/year, only from small and large generators. Besides the damage identified in this study, there is also the dumping of CCW into urban streams in the city which is causing negative impacts on sanitation and drainage systems. The results point to the need to strengthen local policies to mitigate the impacts of the existing CCW to contribute to a more sustainable city.

He construction industry is one of the industrial sectors with the lowest rates of fulfilment of contract deadlines, especially in developing countries. This fact has been the focus of considerable discussions seeking to identify the causes of the delays. The main purpose of this paper is to use factor analysis to identify the factors that are correlated with delay, contemplating exclusively residential real estate projects and using a city in the Brazilian Amazon as a case study. Based on the database from the government agency that authorises constructions in the city of Belém (City Planning Department - Secretaria Municipal de Urbanismo, SEURB) and data from construction companies, the study investigated 274 construction projects from the past 11 years. Factor analysis and work with the variables that can be identified and measured in the initial phase of the project, i.e., during the feasibility study, demonstrate that the physical characteristics of the apartments and the construction project are the primary causes for variations in construction delays; these causes have not yet been reported in the literature. We hope that the results of this study will contribute to more consistent forecasting of construction time, minimising the risk of delays.

Facade maintenance actions are driven by results obtained in the inspection phase. Some methodological proposals aimedat optimizing the inspection process have been discussed, notablydigital image processing (DIP) techniques associated with unmanned aerial vehicle (UAV) imagery. Using UAV speeds up the access to the inspected area, and DIP techniques help to automate the identification of pathological manifestations. This article aims to apply DIP techniques to detect areas where the ceramic cladding on building facades is detaching. The methodology referred to herein starts with the creation of a database (images) captured by cell phone and UAV. The object detection algorithm YOLO (You Only Look Once) was applied to the database images. The results indicated these techniques are very promising, with a 94% precision level in the tests performed. The precision index obtained indicates that the model is applicable in practice and discussions about its limitationshelp improve the proposed methodology.