34
views
0
recommends
+1 Recommend
2 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Parameter Estimation in Population Balance through Bayesian ‎Technique Markov Chain Monte Carlo

      Read this article at

      ScienceOpenPublisherDOAJ
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          In this work, the Markov Chain Monte Carlo is applied to estimate parameters that represent mechanisms that describe particles' dynamics in particulate systems from the literature's proposed models. Initially, the reduced sensitivity coefficient is evaluated to verify which parameters could be estimated simultaneously. The technique is then applied to estimate the models' parameters in different numerical scenarios to determine the rates that influence population dynamics. After the analyzes are performed, the estimates show good precision, accuracy, and a good fit between the measured and estimated state variables. The results show that the Markov chain Monte Carlo can determine the rates of population balance phenomenon.

          Related collections

          Author and article information

          Journal
          Journal of Applied and Computational Mechanics
          Shahid Chamran University of Ahvaz
          01 April 2021
          : 7
          : 2
          : 890-901
          Affiliations
          [1 ] Graduate Program in Chemical Engineering, PPGEQ/ITEC/UFPA, Federal University of Pará, 66075-110, Belém, PA, Brazil‎
          [2 ] Graduate Program in Mathematics and Statistics, Federal University of Pará, Belém, PA, Brazil
          [3 ] Faculty of Biotechnology and Bioprocess Engineering, Federal University of Pará, Belém, PA, Brazil
          Article
          7e1919f1a01e4461976c082d6bc4d5f2
          10.22055/jacm.2021.35741.2725
          fc007464-5eeb-4f05-bb99-d5a84ae7757f

          This work is licensed under Attribution-NonCommercial-NoDerivatives 4.0 International license. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/

          History
          Categories
          Mechanics of engineering. Applied mechanics
          TA349-359

          Education,Assessment, Evaluation & Research methods,Applied computer science,Computer science,General computer science
          particulate systems,population balance,bayesian statistics,markov chain monte carlo‎

          Comments

          Comment on this article