Francisco Scinocca

Dr. Francisco Scinocca

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 March 2019 in Journal of Vibration Engineering & Technologies
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Journal Article
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FSFrancisco Scinocca
Francisco Scinocca
ANAirton Nabarrete
Airton Nabarrete

3 February 2025 in Caderno Pedagógico
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Journal Article
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DBDaniela Seda Salgado de Brito
Daniela Seda Salgado de Brito
LSLuciano Mendes dos Santos
Luciano Mendes dos Santos
FSFábio Santos
Fábio Santos
FSFrancisco Scinocca
Francisco Scinocca
Rural roads and bridges are fundamental to outflow agricultural products and promoting the local population mobility. In rural areas or forests, with scarce construction resources, are common to design bridges using wood in order to reduce the demanded energy to produce then. That kind of infrastructure systems, present low structural stiffness, durability and reliability, due the wood inherent mechanical properties variability and hygroscopicity. In this way, the inspection, monitoring and maintenance programs become extremely important. The Structural Health Monitoring (SHM) techniques can be employed to solve these issues. However, depending on the structure size, location and number of monitoring points, the monitoring process becomes considerably costly, especially if the bridges is located difficult access, such as forests. Therefore, as a management tool, the use of low-cost monitoring systems can be an alternative for the implementation of maintenance programs for this type of structure, in more distant rural areas. The present research was developed with the objective of proposing, developing and evaluating a low-cost data acquisition system for SHM to be applied in bridges on rural roads or forest areas. The low-cost data acquisition system for SHM of bridges was developed and subsequently validated in the laboratory and posteriorly under field conditions. As an important conclusion, the proposed low-cost system can be indicated for the establishment of maintenance programs, as well as being used for the implementation of conservation programs and management support, considering the applicability and limitation observed in the present research.

17 July 2024 in Industrial Crops and Products
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Journal Article
Closed access
FSFábio Santos
Fábio Santos
RPR.V. Pereira
R.V. Pereira
FSFrancisco Scinocca
Francisco Scinocca
CGC.M.F. Grupioni
C.M.F. Grupioni
RCR.P. Castro
R.P. Castro

1 January 2024 in Brazilian Archives of Biology and Technology
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Journal Article
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WJWellington Washington Andrade de Melo Junior
Wellington Washington Andrade de Melo Junior
FSFábio Santos
Fábio Santos
FSFrancisco Scinocca
Francisco Scinocca
PRPablo Antunes da Rosa
Pablo Antunes da Rosa
RMRicardo Rodrigues Magalhães
Ricardo Rodrigues Magalhães
The use of computational simulation techniques is an important tool for the coffee harvesting issues, particularly the finite element method. The method is widely used in the structural analysis of agricultural machinery, as well as in the analysis of the stresses and vibrations of coffee branches and peduncles during the harvesting process. The present study aimed to develop three-dimensional finite element models of the plagiotropic branches of the Catuaí Vermelho variety of Arabica coffee in different positions along the orthotropic branches of the plant; considering high-fidelity models. Additionally, by considering the branches’ experimental properties (physical-mechanical), the natural frequencies and vibration modes of the branches were determined by means of computer simulations. First, the geometric properties of the coffee branches were obtained by means of two images taken using a professional camera to obtain the input data of the virtual simulation. For the mechanical properties, it was used a semi-analytical digital scale, to obtain the mass of the specimens. The modulus of elasticity was determined using a universal testing machine. The variability in the simulated natural frequencies could be identified, which was on the order of 30% for the first frequency, regardless of the position of the branch in the plant. These values were lower for the other frequencies. Linear regression fits showed a coefficient of determination, and correlation tests were used to verify the relationship between the values obtained numerically and experimentally, which were validated by using experimental data using the modal analysis techniques.

22 January 2025 in Biosystems Engineering
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Journal Article
Closed access
MPMariana Ribeiro Pereira
Mariana Ribeiro Pereira
FSFábio Santos
Fábio Santos
FSFrancisco Scinocca
Francisco Scinocca
HTHector Andres Tinoco
Hector Andres Tinoco
GVGeice Paula Villibor
Geice Paula Villibor

1 January 2022 in CERNE
Verified
Journal Article
Open access
FSFábio Santos
Fábio Santos
FSFrancisco Scinocca
Francisco Scinocca
PFPaula Beatriz Martins Fonseca
Paula Beatriz Martins Fonseca
FVFlora Maria de Melo Villar
Flora Maria de Melo Villar