EST - Artigos de Periódicos

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Efeito da variação da geometria do casco na resistência ao avanço e nos movimentos de uma barcaça regional
(Universidade do Estado do Amazonas, 2024-09-29) Silva Junior, Jorge Artur Leite da; Hernandez Fonte, Jassiel Vladimir; Hechavarria Perez, Jose Ramon; Maia, Harlysson Wheiny Silva; Amiri, Mojtaba Maali
The Amazon region has several inland navigation activities related to the transportation of cargo on river barges. However, there is still a lack of technical studies related to the hy drodynamic behavior of this type of vessel. In order to investigate the operational aspects of regional river barges, a comparative study was conducted, aiming to analyze several hydrodynamic characteristics of a regional barge hull. The effect of the change of the bow and stern hull inclination of a regional cargo transport barge on the hydrostatic characte ristics, ship resistance and motions was evaluated using simplified methods. Hydrostatic characteristics such as displacement, metacentric radius and height were analyzed. For the analysis of ship resistance, methods of practical use were evaluated (i.e., Holtrop and KR Barge), discussing the restrictions and limitations of each. Finally, the uncoupled motions of heave and pitch in regular waves were analyzed. For comparison purposes in each of these topics, a reference barge case was modeled, changing the inclination of the bow and stern of the hull, totaling four case studies. To perform the analysis, the soft ware Maxsurf and its utility packages Modeler, Resistance and Motions were used in the analysis of hydrostatics, ship resistance and motions in waves. Regarding the hydrostatic characteristics, study case 2 (inclination of 30° in the bow and 48° in the stern) and study case 4 (12° bow and 14° stern) presented better performance in relation to the standard case (17° bow and 21° stern), presenting a variation of 7.13% in cross-sectional metacen tric height for case 4 and -6.21% for case 2. Similarly, in the analysis of ship resistance using the method of Holtrop, case 2 presented variations between 13.7% and 39.3% and the case 4 variations between -6.7% and -25% in relation to the standard case. The KR Barge method overestimated the reference ship resistance values due to its limitations for practical implementation. For the significant accelerations in heave motion, study case 3 (14° bow and 17° stern) showed a variation of 2.17% and case 4 (12° bow and 14° stern) a variation of 4.56% with respect to the reference case, both operating at a speed of 1 knot. With the results obtained regarding river barges, it is expected that the work will add to the research on inland navigation in the Amazon region.
As tecnologias 4.0 como alternativas de prevenção de acidentes com embarcações na Região Amazônica
(Universidade do Estado do Amazonas, 2023-10-13) Aziz, Giovanna Mabily Pinto Abdel; Fontes, Jassiel Vladimir Hernández; Hechavarria Perez, Jose Ramon; Maia, Harlysson Wheiny Silva; Hernández, Irving David
The use of vessels in the Amazon region plays an important role in the commercial activities of the northern region of Brazil; however, it faces several risks of accidents that can result in loss of lifes, properties, and environmental damage. Industry 4.0 technologies can be alternatives to prevent accidents in various activities in the region that involve the use of vessels. However, Industry 4.0 technologies are recent and despite the growing attention on applications of these technologies in several engineering areas, there is still a lack of information related to the alternatives of application in the regional naval industry. The present work aims to know alternatives of Industry 4.0 that could be used to reduce accidents with the use of vessels in the Amazon region. First, some of the most common accidents that can happen to vessels in the region were presented. Therefore, the concepts of 4.0 technologies most used in maritime applications were reviewed and documented: cyber-physical systems, augmented reality and simulation, big data analytics, cloud computing and internet of things. Finally, the possibilities of applying 4.0 technologies to prevent accidents in the Amazon region were discussed, identifying possible limitations. It was found in the literature review that collisions are the most common accidents with vessels, and automatic identification systems are the most used technology for their control. In contrast, it was seen that the applications of cloud computing, IoT and bigdata analysis in accident prevention in the shipping industry still need to be explored. It is hoped that the present work can contribute to the prevention of accidents in the future of the Amazon region.