Ingeniería Civilhttps://hdl.handle.net/20.500.12724/167302024-03-28T16:36:53Z2024-03-28T16:36:53ZArtificial Intelligence Applied to the Control and Monitoring of Construction Site PersonnelDel Savio, Alexandre AlmeidaLuna Torres, Ana FelícitaCárdenas Salas, Daniel EnriqueVergara Olivera, Mónica AlejandraUrday Ibarra, Gianella Taniahttps://hdl.handle.net/20.500.12724/189332023-09-19T17:28:53Z2023-01-01T00:00:00ZArtificial Intelligence Applied to the Control and Monitoring of Construction Site Personnel
Del Savio, Alexandre Almeida; Luna Torres, Ana Felícita; Cárdenas Salas, Daniel Enrique; Vergara Olivera, Mónica Alejandra; Urday Ibarra, Gianella Tania
Many countries are working towards gradually lifting restrictions generated by the COVID-19 virus as post-quarantine measures. The construction industry has had to adapt to new forms of work with economic and physical restrictions. For physical restrictions, the most worrying one is the risk of contagion, as many studies have indicated that social distancing is one of the most effective biosecurity measures. In this research, a training process was executed on a neural network to ensure an adequate social distance policy in a construction environment to identify people inside construction sites. More specific training was carried out to identify people performing activities in a position other than being completely upright, as is usually the case with construction workers. The “You Only Look Once” (YOLO) version 4 algorithm was used to train 2 classes of objects, an upright person and a crouched person. More than one thousand images of a construction site were used as a data set, achieving an accuracy of 77.98%. This research presents the results and recommendations to detect the people and calculate the distance between them. Based on the distance calculation, an alert report can be generated for the work areas for the health and safety team to take preventive actions.
2023-01-01T00:00:00ZFinite Element Model for End-Plate Beam-to-Column Connections Under Bending and Axial ForcesDiaz Velazco, Israel Alan Leon AurelioDel Savio, Alexandre Almeidahttps://hdl.handle.net/20.500.12724/189062024-02-27T16:20:25Z2023-01-01T00:00:00ZFinite Element Model for End-Plate Beam-to-Column Connections Under Bending and Axial Forces
Diaz Velazco, Israel Alan Leon Aurelio; Del Savio, Alexandre Almeida
The assessment of steel beam-to-column connections is a fundamental piece in the design process of steel structures according to the guidelines established by standards such as Eurocode 3—Part 1.8 and ANSI/AISC 358-16. In addition, the finite element analysis is an alternative path to determine the behavior of steel beam-to-column connections in contrast to the analytical methods. Furthermore, the axial force in a semi-rigid steel structure connection is usually negligible compared to a bending force. However, there are some scenarios where the influence of axial forces cannot be ignored due to their elevated value. Therefore, a finite element model for end-plate beam-to-column connections is proposed considering the actions of bending and axial forces. The numerical simulation results were validated with experimental data, and an approximate representation of the physical phenomena was obtained.
2023-01-01T00:00:00ZInfluence of Soil-Pile-Structure Interaction on Seismic Response of Reinforced Concrete BuildingsMadrid Argomedo, Manuel RicardoZegarra Alvarado, Juan DavidPerez Luna, Pablo AlfonsoRoncal, Miguelhttps://hdl.handle.net/20.500.12724/189052023-09-19T15:33:09Z2023-01-01T00:00:00ZInfluence of Soil-Pile-Structure Interaction on Seismic Response of Reinforced Concrete Buildings
Madrid Argomedo, Manuel Ricardo; Zegarra Alvarado, Juan David; Perez Luna, Pablo Alfonso; Roncal, Miguel
It is well known that Peru is located in one of the most active seismic zones in the world and seismic design is a primary concern. Building constructions has increased in Peru during the last few years, especially on the north coast where loose soil deposits predominate. Soil conditions have increased the need of pile foundations. However, the soil-pile-structure interaction is usually not considered in design of superstructures. The soil-foundation system beneath the superstructure influences the seismic performance of buildings. The soil-pile-structure interaction is influenced by the highly non-linear behaviour of the soil, where the interface pile-soil seems to play an important role in design. This study focusses on the influence of soil-pile-structure interaction on seismic response of buildings. A dynamic finite element model of a typical building founded on sandy soil is used to investigate the ground response and earthquake behaviour of a reinforced concrete building based on frames and plates. The results are presented in terms of the most important design parameters such as the lateral displacement of the piles, shear stress, bending moments, structural inter-storey drifts and storey lateral displacements. Effect on ground response in term of spectral acceleration and changes in natural period are also discussed.
2023-01-01T00:00:00ZExperimental Research on the Influence of Polypropylene Macrofiber Thickness in Fiber-Reinforced Concrete Mechanical StrengthsDel Savio, Alexandre AlmeidaLa Torre Esquivel, DarwinGamboa Buendia, BrunoZuñiga Mejia, Jennifer Josabethhttps://hdl.handle.net/20.500.12724/189042023-09-19T15:06:02Z2023-01-01T00:00:00ZExperimental Research on the Influence of Polypropylene Macrofiber Thickness in Fiber-Reinforced Concrete Mechanical Strengths
Del Savio, Alexandre Almeida; La Torre Esquivel, Darwin; Gamboa Buendia, Bruno; Zuñiga Mejia, Jennifer Josabeth
Herein, the effects of polypropylene fiber thickness on the compressive strength, split tensile strength, and flexural strength or modulus of rupture of polypropylene fiber reinforced concrete (PPFRC) were investigated. In consequence, knurled straight polypropylene fibers with three different thicknesses of 0.75, 0.90, and 1.05 mm and a constant length of 50 mm were used in conjunction with three fiber weight dosages of 4.00, 5.00, and 6.00 kg/m3 and four water-cement ratios of 0.40, 0.45, 0.50 and 0.55. In total, forty different concrete mixes were prepared with four control samples. The mechanical behavior of PPFRC as a function of polypropylene fiber thickness was determined in conjunction with its fresh-state properties. The results showed a strong indirect proportional correlation between fiber thickness and compressive strength of PPFRC for mixtures with water-cement ratios of 0.45 and 0.50. On the other hand, there is no statistically significant correlation between the split tensile strength and the modulus of rupture with fiber thickness.
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