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Samuel da Silva ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Novais, Henrique Cordeiro / da Silva, Samuel / Figueiredo, Eloi: Co-Kriging strategy for structural health monitoring of bridges. In: Structural Health Monitoring.

    https://doi.org/10.1177/14759217241265375

  2. Souza, Laura / Omori Yano, Marcus / da Silva, Samuel / Figueiredo, Eloi (2024): A Comprehensive Study on Unsupervised Transfer Learning for Structural Health Monitoring of Bridges Using Joint Distribution Adaptation. In: Infrastructures, v. 9, n. 8 (3 August 2024).

    https://doi.org/10.3390/infrastructures9080131

  3. Ferreira, Leonardo de Paula S. / Teloli, Rafael de O. / da Silva, Samuel / Figueiredo, Eloi / Maia, Nuno / Cimini, Carlos A.: Bayesian data-driven framework for structural health monitoring of composite structures under limited experimental data. In: Structural Health Monitoring.

    https://doi.org/10.1177/14759217241236801

  4. Omori Yano, Marcus / Figueiredo, Eloi / da Silva, Samuel / Cury, Alexandre / Moldovan, Ionut (2023): Transfer Learning for Structural Health Monitoring in Bridges That Underwent Retrofitting. In: Buildings, v. 13, n. 9 (23 August 2023).

    https://doi.org/10.3390/buildings13092323

  5. Figueiredo, Eloi / Omori Yano, Marcus / da Silva, Samuel / Moldovan, Ionut / Bud, Mihai Adrian (2023): Transfer Learning to Enhance the Damage Detection Performance in Bridges When Using Numerical Models. In: Journal of Bridge Engineering (ASCE), v. 28, n. 1 (Januar 2023).

    https://doi.org/10.1061/(asce)be.1943-5592.0001979

  6. da Silva, Samuel / Figueiredo, Eloi / Moldovan, Ionut (2022): Damage Detection Approach for Bridges under Temperature Effects using Gaussian Process Regression Trained with Hybrid Data. In: Journal of Bridge Engineering (ASCE), v. 27, n. 11 (November 2022).

    https://doi.org/10.1061/(asce)be.1943-5592.0001949

  7. Omori Yano, Marcus / da Silva, Samuel / Figueiredo, Eloi / Giacon Villani, Luis G. (2022): Damage quantification using transfer component analysis combined with Gaussian process regression. In: Structural Health Monitoring, v. 22, n. 2 (Mai 2022).

    https://doi.org/10.1177/14759217221094500

  8. Miguel, Luccas P. / Teloli, Rafael de O. / da Silva, Samuel / Chevallier, Gaël (2022): Probabilistic machine learning for detection of tightening torque in bolted joints. In: Structural Health Monitoring, v. 21, n. 5 (März 2022).

    https://doi.org/10.1177/14759217211054150

  9. Pavlack, Bruna / Paixão, Jessé / da Silva, Samuel / Cunha, Americo / García Cava, David (2021): Polynomial Chaos-Kriging metamodel for quantification of the debonding area in large wind turbine blades. In: Structural Health Monitoring, v. 21, n. 2 (Mai 2021).

    https://doi.org/10.1177/14759217211007956

  10. da Silva, Samuel / Dias Junior, Milton / Lopes Junior, Vicente (2008): Structural Health Monitoring in Smart Structures Through Time Series Analysis. In: Structural Health Monitoring, v. 7, n. 3 (Juli 2008).

    https://doi.org/10.1177/1475921708090561

  11. da Silva, Samuel / Gianini Gonsalez, Camila / Lopes, Vicente (2010): Adaptive filter feature identification for structural health monitoring in an aeronautical panel. In: Structural Health Monitoring, v. 10, n. 5 (August 2010).

    https://doi.org/10.1177/1475921710379514

  12. Shiki, Sidney B. / da Silva, Samuel / Todd, Michael D. (2016): On the application of discrete-time Volterra series for the damage detection problem in initially nonlinear systems. In: Structural Health Monitoring, v. 16, n. 1 (August 2016).

    https://doi.org/10.1177/1475921716662142

  13. Villani, Luis GG / da Silva, Samuel / Cunha, Americo / Todd, Michael D. (2019): On the detection of a nonlinear damage in an uncertain nonlinear beam using stochastic Volterra series. In: Structural Health Monitoring, v. 19, n. 4 (September 2019).

    https://doi.org/10.1177/1475921719876086

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