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A comprehensive benchmark dataset for the validation of building component heat,air,and moisture(HAM)models

建筑模拟（英文版） 2024年第11期17卷 1893-1907页

作者： Xinyuan Dang hans janssen Staf Roels KU Leuven Department of Civil EngineeringLeuven 3001Belgium

Numerical heat,air and moisture(HAM)modeling allows predicting hygrothermal responses of building components with higher efficiency and less effort than laboratory experiments and field ***,inaccuracy and/or incorrectness may appear in the predictions for the same case through different HAM models,primarily due to limitations or deviations in the description of physical phenomena and/or the implementation of mathematical *** preferences,biases,and/or mistakes with respect to implementing material properties,boundary conditions and other factors may also yield *** a correct implementation of the numerical models is typically verified by the developers,the validity of the HAM models may remain questionable without the confrontation with experimental ***,well-determined criteria and well-documented datasets for establishing the correct prediction of the transient hygrothermal responses of building components by HAM models remain very *** address this issue,a dedicated benchmark experiment was conducted in the hot box-cold box(HB-CB)setup at KU Leuven,Belgium,on four wall assemblies composed of calcium silicate board,mineral wool,wood fiber board,and vapour barrier in different ***,relative humidity,heat fluxes and moisture masses,as hygrothermal responses,were monitored under quasi-steady state boundary ***-scale characterization of the materials from the same batch was performed,along with a determination of the surface transport coefficients within the HB-CB *** comprehensive dataset allows a proper model validation by incorporating experimental datasets of material properties and surface transport coefficients and by confronting simulated hygrothermal responses with experimental *** addition,sensitivity analysis can be performed to obtain insights into the impact of uncertainties in characterizing material properties on hygrothermal simulation predictions.

关键词： heat air and moisture(HAM) hygrothermal response dataset model simulation validation

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Multiple Comprehensive Chromatography in edible and mineral oil analysis:LC×GC-,GC×GC-and LC×GC×GC-ToF-MS

Multiple Comprehensive Chromatography in edible and mineral ...

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第十五次全国色谱学术报告会

作者： hans-Gerd janssen Sjaak de Koning Udo A.Th.Brinkman Unilever Research and Development Advanced Measurement and Imaging P．O．Box 1143130 AC Vlaardingenthe Netherlands LECO instruments Separation Science Group Marie-Bernays-Ring 31 41199 MngengladbachGermany Free University of Amsterdam De Boelelaan 1083 1081HV Amsterdamthe Netherlands

＜正＞Introduction Comprehensive chromatography （CC） is an excellent separation method for the analysis of extremely complex samples. The most widely employed mode of CC is comprehensive GC×GC. In comprehensive GC×GC both dimensions offer an excellent separation efficiency, but the difference in selectivity between the two dimensions is

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