Publicado

2017-01-01

Thermo-hydro-mechanical model parameters adjustment via a distributed scientific workflow system

Modelo termo-hidro-mecánico de ajuste de parámetros mediante un sistema científico de flujo de trabajo distribuido

Palabras clave:

Scientific Workflow System, Damage Modeling, Parameters Adjustment (en)
Sistema de flujo de trabajo científico, Modelo de Daño, Ajuste de Parámetros (es)

Autores/as

This work presents a numerical approach for the automatic adjustment of parameters of the Mazars Damage Model, applied to a thermohydro- mechanical modeling of concrete structures. The procedure is based on a Scientific Workflow System (SWS) that addresses the combinatorial universe of adjustable parameters by minimizing the number of simulations required for optimized results. Not only does SWS improve efficiency, by also makes the strategy easier when compared to manual procedures. The adopted algorithm is developed in an intuitive script language and employs a distributed computational environment. Comparison to experimental data indicates that the proposed methodology was efficient and effective in improving the analysis, by minimizing errors and saving processing time.
Este trabajo presenta una estrategia numérica para el ajuste automático de parámetros del Modelo de Daño de Mazars, aplicado a un modelado termohidro- mecánico de estructuras de concreto. El procedimiento se basa en un sistema de flujo de trabajo científico (SWS) que aborda el universo combinatorio de parámetros ajustables al minimizar el número de simulaciones requeridas para obtener resultados optimizados. SWS no sólo mejora la eficiencia, sino que también facilita la estrategia en comparación con los procedimientos manuales. El algoritmo adoptado se desarrolla en un lenguaje de escritura intuitivo y emplea un ambiente computacional distribuido. La comparación con los datos experimentales indica que la metodología propuesta fue eficiente y efectiva para mejorar el análisis, minimizando los errores y ahorrando tiempo de procesamiento.

Descargas

Los datos de descargas todavía no están disponibles.

Citas

Heymann, M., Understanding and misunderstanding computer simulation: The case of atmospheric and climate science - an introduction. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics, 41(3), pp. 193- 200, 2010.

Deelman, E., Gannon, D., Shields, M. and Taylor, I., Workflows and e-science: An overview of workflow system features and capabilities. Future Generation Computer Systems, 25(5), pp. 528-540, 2009.

Gannon, D., Taylor, I.J., Deelman, E. and Shields, M., Workflows for e-Science. Springer- Verlag London Limited, 2007.

Mazars, J., Application de la mécanique de l’endommagement au comportement non linéaire et à la rupture du béton de structure

[Application of mechanical damage to the nonlinear behavior and rupture of the concrete structure], PhD Thesis, University Pierre ET Marie Curie, Paris, 1984.

Amaral, R.d.O., Análise computacional termo-mecânica de estruturas de concreto sujeitas a temperaturas elevadas [Thermo-Mechanical Computational Analysis of Concrete Structures Subjected to High Temperatures], MSc. Thesis, Postgraduate Program in Computational Modeling, Federal University of Juiz de Fora - UFJF, Brazil, 2014.

Xing, Z., Influence de la nature minéralogique des granulats sur leur comportement et celui du béton à haute temperature [Influence of the mineralogical nature of the aggregates on their behavior and that of the high-temperature concrete], PhD Thesis, Specialization: Civil Engineering, Cergy-Pontoise University, France, 2011.

Xing, Z., Beaucour, A.L., Hebert, R., Noumowe, A. and Ledesert, B., Influence of the nature of aggregates on the behaviour of concrete subjected to elevated temperature. Cement and concrete research, 41(4), pp. 392-402, 2011.

Ferreira, A.P.G., Farage, M.C., Barbosa, F.S., Noumowé, A. and Renault, N., Thermo-hydric analysis of concrete–rock bilayers under fire conditions. Engineering Structures, 59, pp. 765-775, 2014.

Ferreira, A., Modelagem dos fenômenos de transporte termo-hídricos em meios porosos submetidos a temperaturas elevedas: Aplicação a uma bicamada rocha-concreto, MSc. Thesis, Postgraduate Program in Computational Modeling, Federal University of Juiz de Fora - UFJF, Brazil, 2011.

Le Fichoux, E., Présentation et utilisation de CASTEM, CEA, 2011, 92 P.

Pignotti, E., Edwards, P., Gotts, N. and Polhill, G., Enhancing workflow with a semantic description of scientific intent. Web Semantics: Science, Services and Agents on the World Wide Web, 9(2), 2011.

Seffino, L., Medeiros, C., Rocha, J. and Yi, B., Woodss — A spatial decision support system based on workflows. Decision Support Systems, 27(1-2), pp. 105-123, 1999.

Yu, J. and Buyya, R., A taxonomy of scientific workflow systems for grid computing. SIGMOD Rec., 34(3), pp. 44-49, 2005.

Altintas, I., Barney, O. and Jaeger-Frank, E., Provenance collection support in the kepler scientific workflow system. Springer Berlin Heidelberg, pp. 118-132, 2006. DOI: 10.1007/11890850_14

Bonifácio, A.L.. Análise de ferramentas computadorizadas para suporte à modelagem computacional - Estudo de caso no domínio de dinâmica dos corpos deformáveis [Analysis of computerized tools for computational modeling support – Case study of the dynamics system domain], MSc. Thesis, Postgraduate Program in Computational Modeling, Federal University of Juiz de Fora - UFJF, Brazil, 2008.

Yu, J. and Buyya, R., A taxonomy of workflow management systems for grid computing. Journal of Grid Computing, 3(3-4), pp. 171-200, 2005.

Bavoil, L., Callahan, S.P., Crossno, P.J., Freire, J., Scheidegger, C.E., Silva, C.T. and Vo, H.T., Vistrails: Enabling interactive multipleview visualizations. In Visualization, 2005. VIS 05. IEEE, pp. 135- 142. IEEE, 2005.

Ludäscher, B., Altintas, I., Berkley, C., Higgins, D., Jaeger, E., Jones, M., Lee, E.A., Tao, J. and Zhao, Y., Scientific workflow management and the kepler system. Concurrency and Computation: Practice and Experience, 18(10), pp. 1039-1065, 2006.

Iooss, B. and Lemaître, P., A Review on global sensitivity analysis methods. Uncertainty management in simulation-optimization of complex systems. Algorithms and Applications, 59, pp. 101-122, Springer, 2015.DOI: 10.1007/978-1-4899-7547-8_5

Bäck, T. and Schwefel, H.-P., An overview of evolutionary algorithms for parameter optimization. Evolutionary Computation, 1(1), pp. 1-23, 1993. DOI: 10.1162/evco.1993.1.1.1

Qaffou, I., Sadgal, M. and Elfazziki, A., A reinforcement learning method to adjust parameter of texture segmentation. In Informatics and Systems (INFOS), 2010 The 7th International Conference on, pp. 1-5. IEEE, 2010.

Hutter, F., Xu, L., Hoos, H.H. and Leyton-Brown, K., Algorithm runtime prediction: Methods & Evaluation. Artificial Intelligence, 206, pp. 79-111, 2014.

Soares, S.S.R.F., Gonçalves, L.B. and de Lyra, A.R., Um algoritmo genético para o problema da sequência mais próxima [A genetic algorithm for the problem of the closest sequence]. XLV Simpósio Brasileiro de Pesquisa Operacional, Brazil, 2013.