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Trường DCGiá trị Ngôn ngữ
dc.contributor.authorKočí, Václav-
dc.contributor.authorMaděra, Jiří-
dc.contributor.authorKrejčí, Tomáš-
dc.contributor.authorKruis, Jaroslav-
dc.contributor.authorČerný, Robert-
dc.date.accessioned2020-06-02T04:31:56Z-
dc.date.available2020-06-02T04:31:56Z-
dc.date.issued2019-
dc.identifier.issn1687-8086-
dc.identifier.issn1687-8094 (eISSN)-
dc.identifier.otherBBKH1156-
dc.identifier.urihttp://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/18864-
dc.description"Hindawi Advances in Civil Engineering Volume 2019, Article ID 3529360, 11 pages https://doi.org/10.1155/2019/3529360"vi
dc.description.abstractVarious simplification or optimization techniques are sought that reduce demands of computational modeling on time or computing power while keeping a sufficient level of accuracy. In this paper, determination of hygrothermal performance of a brick block is presented using two homogenization techniques based on different principles. While the computational homogenization technique uses a multiscale method realized on the master/slave computer system, the materials homogenization comes out from the effective media theory (EMT), and after the determination of effective material properties, the whole isotropic problem can be transformed to one dimension. Contrary to most applications of EMT, free parameters of mixing formulas are not determined based on an experimental measurement of a single material property but on a complex hygrothermal performance of the element where the distribution of moisture and temperature over a reference year is taken into account. The calculated results from both techniques are compared with results obtained by high-performance computing without any computational simplifications. For materials homogenization, the best results are achieved when k = 0.9 in Lichtenecker’s mixing rule is assumed, which corresponds to a nearly parallel arrangement of the block. The root mean square error (RMSE) of relative humidity (RH) and temperature distribution is only 0.992% and 0.566°C, respectively. This is even better than the results of computational homogenization (RMSE: 1.502% of RH and 0.629°C). Besides obtaining sufficiently precise results, a significant time-saving is achieved, accounting for more than 99%, while being solved on a single-processor computer.vi
dc.language.isoenvi
dc.publisherHindawi Limitedvi
dc.subjectResearchvi
dc.subjectTemperature distributionvi
dc.subjectFinite volume methodvi
dc.subjectSimulationvi
dc.subjectAccuracyvi
dc.subjectComputing timevi
dc.subjectMasonryvi
dc.subjectRelative humidityvi
dc.subjectComposite materialsvi
dc.subjectMultiscale methodsvi
dc.subjectEngineeringvi
dc.subjectMaterial propertiesvi
dc.subjectHeat conductivityvi
dc.subjectIsotropic materialvi
dc.subjectHomogenizationvi
dc.subjectNumerical analysisvi
dc.subjectMicroprocessorsvi
dc.subjectTask complexityvi
dc.subjectApplied physicsvi
dc.subjectRoot-mean-square errorsvi
dc.titleEfficient Techniques for Solution of Complex Computational Tasks in Building Physicsvi
dc.typeOthervi
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