Browsing by Author "Oliveira, P."
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- Characterization of workers’ noise exposure of Portuguese industryPublication . Lopes, A.M.; Pinto, Edgar; Laranjeira, P.; Rebelo, M.; Oliveira, P.This study aimed to characterize the industrial workers’ noise exposure. The analysis was carried out using data from noise exposure assessment bulletins, prepared under the Prevenir program. This study covered eight sectors of Portuguese industry. The results showed that the sectors with higher levels of noise are the metallurgy and metalworking and also the wood and furniture. The quieter sectors are the textile and clothing industry, jewellery and watchmaking and chemical industry. Regarding the attenuation provided by hearing protection available to workers from the evaluated industries, the vast majority use earplugs with excessive attenuation.
- Laser scanner in construction quality control of steel industrial buildingsPublication . Oliveira, R.; Ribeiro, D.; Oliveira, P.; Gavina, R.Currently, digital technologies provide engineers with the ability to improve quality control in civil engineering and construction. In this industry, structural quality control aims to prevent deviations that may occur in the assembly of the structure, to guarantee compliance with the essential requirements for its operation. In this context, an attempt was made to learn whether the application of digital technologies, particularly use of the laser scanners, is a resource that facilitates quality control procedures, making them digital and more reliable. In the presented case study, the methodology involved the use of a laser scanner in the quality control of the assembly of a steel structure of an industrial building. Thus, after the study on technologies associated with the automation of geometric object checks, with the use of the computational tools and digital laser survey technologies, the structural elements assembled in situ were analyzed. The main results this study allow us to conclude that the use of the digital laser scanner survey technologies contributes favorably to the automation of geometric quality control procedures in the assembly of steel structures.