Navegando por Autor "Sisquini, Geraldo Rossoni"

Agora exibindo 1 - 4 de 4
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    Dynamic risk calculation model applied to gas compressor.
    (2020) Thom, Frederico Carlos Maciel; Zoghbi, João Roberto Bastos; Freitas, Marcílio Sousa da Rocha; Sisquini, Geraldo Rossoni
    The present article proposes to apply a Risk-Based Maintenance methodology in a gas compression system. This risk calculation is based on a semi-quantitative mathematical model that uses the interdependence of process variables and predictive maintenance data applied in a Condition-Based Maintenance methodology, in order to obtain the calculation of the dynamic risk. This promotes a review of maintenance and reliability strategies proactively in real time. The dynamic risk applied to the system involves the interface of predictive maintenance and process variables with the reliability and risk analyses of the system. This value, which is associated with the financial aspects, safety, people and environment, can be compared to the tolerable risk of production plant operation, providing operation or maintenance decisions. An example demonstrates the integration of process and maintenance data using this model methodology for a gas compression system. This framework can be applied to evaluate the integrity of systems, providing critical risk-based information for the maintenance and operation teams, assisting then in the mitigation of failures in the production systems.
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    Estimation of the reliability of spherical LPG storage tanks subject to localized cracking defects.
    (2012) Sisquini, Geraldo Rossoni; Freitas, Marcílio Sousa da Rocha
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    Modelo de cálculo de risco dinâmico aplicado a compressores de gás.
    (2018) Thom, Frederico Carlos Maciel; Freitas, Marcílio Sousa da Rocha; Sisquini, Geraldo Rossoni; Zoghbi, João Roberto Bastos; Freitas, Marcílio Sousa da Rocha; Sisquini, Geraldo Rossoni; Zoghbi, João Roberto Bastos; Rivero Oliva, José de Jesús; Nascimento, Cesar Ferreira do
    O presente trabalho propõe a aplicação da metodologia RBM (Risk Based Maintenance - Manutenção Baseada no Risco) em um sistema de compressão de gás, cujo cálculo do risco tem como base um modelo matemático semi-quantitativo que leva em conta a interdependência de variáveis de processo e de manutenção preditiva empregadas no processo de CBM (Condition Based Maintenance - Manutenção Baseada em Condição) do equipamento, de forma a se obter o cálculo deste risco dinâmico para fomentar ou prover a revisão da estratégia de manutenção e confiabilidade em tempo real e de forma proativa. O risco dinâmico aplicado a sistemas envolve a interface da manutenção preditiva e das variáveis de processo com a confiabilidade de sistemas e a análise de riscos. Este valor que está relacionado com os aspectos financeiros, de segurança, de pessoas e meio ambiente, é comparado ao risco tolerável de operação da planta de produção. Cabe lembrar que o estudo desenvolvido pode ser aplicado a qualquer sistema, subsistema ou equipamento industrial, desde que fornecidos os dados adequados e o processo modelado para tal.
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    SORM DG - an efficient SORM based on differential geometry.
    (2019) Ferreira, Emmanoel Guasti; Freitas, Marcílio Sousa da Rocha; Pinto, José Antônio da Rocha; Sisquini, Geraldo Rossoni
    The first order reliability method (FORM) efficiently performs first order structural reliability analysis, but with limited accuracy. On the other hand, the traditional second order reliability method (SORM) was established to improve the results of FORM, but with a supplementary computational process. Proposed herein, is a new SORM, based on differential geometry making SORM more efficient without hindering accuracy. It can be used to perform the second order structural reliability analysis in engineering. A case in the geotechnical engineering field obtained from literature was solved aiming to demonstrate the ability of the analytical procedure via differential geometry. The advantages of the newly proposed approach whereby the reliability method by differential geometry (SORM DG) over the traditional SORM are discussed. The results show that the SORM DG optimizes the outcomes from FORM and achieves the accuracy of the traditional SORM, more efficiently.