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Americo CUNHA JR
23
Documents
Identifiants chercheurs
- americo-cunha-jr
- ResearcherId : D-5261-2009
- 0000-0002-8342-0363
- Google Scholar : http://scholar.google.com/citations?user=4r36RpoAAAAJ&hl=en
- IdRef : 253121612
Présentation
**Associate Professor of Applied Mathematics**
**[Rio de Janeiro State University - UERJ](http://www.uerj.br)**
The focus of our research group is directed to the interplay between mathematics, engineering, physics, and computational sciences, seeking to solve complex interdisciplinary problems in engineering and applied sciences. We are interested in both, basic research and applications, with special attention to the following topics:
- **Nonlinear Dynamics**
- **Uncertainty Quantification**
- **Inverse Problems**
- **Reduced Order/Surrogate Modeling**
- **Computational Science and Engineering**
- **Industrial Mathematics**
We work mainly in the qualitative and quantitative study of nonlinear phenomena and systems (epidemiological forecasting, damage detection, energy harvesters, etc.), seeking to better understand their underlying dynamic behavior. For this purpose we make use of sophisticated analytical, numerical and data-driven techniques, as well as hybrid approaches combining them. We are also interested in the development of state of art computational tools for the analysis of complex systems, such as numerical codes for ordinary/partial differential equations, reduced order/surrogate models, machine learning/statistical regressors, etc. In this context, our work is organized into the following interdisciplinary and transversal lines of research:
- **Nonlinear and chaotic phenomena in complex systems**
- **Probabilistic modeling of uncertainties in nonlinear systems**
- **Inverse problems for calibration of computational models**
- **Reduction of **complexity in** high order computational models**
- **Computational modeling of industrial problems**
More information: [www.americocunha.org](http://www.americocunha.org)
Publications
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Physics-informed neural networks for solving elasticity problems27th International Congress on Mechanical Engineering (COBEM 2023), Dec 2023, Florianópolis, Brazil
Communication dans un congrès
hal-04373364v1
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Sensitivity analysis of sensor location for damage detection in a wind turbine blade6th Brazilian Conference on Composite Materials (BCCM 2022), Aug 2022, Ouro Preto, Brazil
Communication dans un congrès
hal-03754827v1
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Exploring the behavior of a bistable energy harvester via global sensitivity analysisInternational Conference on Advances in Energy Harvesting Technology (ICAEHT-2021), Mar 2021, Lublin, Poland
Communication dans un congrès
hal-03174865v1
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Sobol global sensitivity analysis on a bistable energy harvester25th International Congress of Theoretical and Applied Mechanics (ICTAM 2020+1), Aug 2021, Milano, Italy
Communication dans un congrès
hal-03338659v1
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Global sensitivity analysis of bistable energy harvesting systems via Sobol indicesStochastic Resonance 40 years (SR40), Sep 2021, Perugia, Italy
Communication dans un congrès
hal-03347052v1
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An application of the global sensitivity analysis on a bistable energy harvester3rd International Conference on Engineering Vibration (ICoEV 2020), Dec 2020, Aberdeen, United Kingdom
Communication dans un congrès
hal-03075350v1
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Vantagens da expansão em polinômio de caos na propagação de incertezas em sistemas mecânicosXXXIX Congresso Nacional de Matemática Aplicada e Computacional (CNMAC 2019), Sep 2019, Uberlândia, Brazil
Communication dans un congrès
hal-02388454v1
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Multiple stochastic Volterra models for damage detectionXIV Conferência Brasileira de Dinâmica, Controle e Aplicações (DINCON 2019), Nov 2019, São Carlos, Brazil
Communication dans un congrès
hal-02388477v1
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Application of a stochastic version of the restoring force surface method to identify a Duffing oscillatorFirst International Nonlinear Dynamics Conference (NODYCON 2019), Feb 2019, Rome, Italy
Communication dans un congrès
hal-02095987v1
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Structural health monitoring in uncertain nonlinear systemsXXXVII It's Not Just Modal Anymore Conference (IMAC 2019), Jan 2019, Orlando, United States
Communication dans un congrès
hal-02095989v1
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Uncertainty quantification in the comparison of structural criterions of failureX Congresso Nacional de Engenharia Mecânica (CONEM 2018), May 2018, Salvador, Brazil. ⟨10.26678/ABCM.CONEM2018.CON18-1176⟩
Communication dans un congrès
hal-01811701v1
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Uncertainty quantification in Volterra series analysis of a nonlinear beam considering the noise effectXVII International Symposium on Dynamic Problems of Mechanics (Diname 2017), Mar 2017, São Sebastião, Brazil
Communication dans un congrès
hal-01487344v1
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Identification of a nonlinear beam through a stochastic model based on a Duffing oscillator6th International Conference on Nonlinear Science and Complexity (NSC 2016), May 2016, São José dos Campos, Brazil. ⟨10.20906/cps/nsc2016-0017⟩
Communication dans un congrès
hal-01471296v1
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Uncertainty analysis in Volterra series applied in a nonlinear system23rd ABCM International Congress of Mechanical Engineering (COBEM 2015), Dec 2015, Rio de Janeiro, Brazil. ⟨10.20906/CPS/COB-2015-1694⟩
Communication dans un congrès
hal-01473583v1
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Vantagens da expansão em polinômio de caos na propagação de incertezas em sistemas mecânicosXXXIX Congresso Nacional de Matemática Aplicada e Computacional (CNMAC 2019), Sep 2019, Uberlândia, Brazil
Poster de conférence
hal-02388459v1
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Quantifição de Incertezas nos Núcleos de Volterra de um Oscilador de DuffingXXXVI Congresso Nacional de Matemática Aplicada e Computacional (CNMAC 2016), Sep 2016, Gramado, Brazil
Poster de conférence
hal-01948888v1
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Application of a stochastic version of the restoring force surface method to identify a Duffing oscillatorW. Lacarbonara, B. Balachandran, J. Ma, J. T. Machado, and G. Stepan. Nonlinear Dynamics of Structures, Systems and Devices, Springer Cham, pp.299-307, 2020, ⟨10.1007/978-3-030-34713-0_30⟩
Chapitre d'ouvrage
hal-02169196v1
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Damage detection based on a stochastic version of the Volterra series2018
Pré-publication, Document de travail
hal-01811702v1
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