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Sökning: WFRF:(Frühwald Eva)

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1.
  • Humar, Miha, et al. (författare)
  • Introduction of the COST FP 1303 Cooperative Performance Test
  • 2015
  • Ingår i: Proceedings of the 46th IRG Annual Meeting.
  • Konferensbidrag (refereegranskat)abstract
    • COST Action FP 1303 “Performance of bio-based building materials” successfully started in October 2013 and an ambitious program was set up for the four year programme. COST Actions provide an excellent opportunity for collaborative research, e.g. in the frame of Round Robin tests.The idea of this respective test was to distribute a fairly simple test set up to as many places in Europe as possible in order to collect performance data reflecting the range of climatic exposure conditions. Furthermore we wanted to consider performance in its manifold meaning, i.e. optical, aesthetical, moisture and functional performance and durability. In contrast to traditional Round Robin tests aiming on comparative evaluation and validation of results from different test laboratories, this initiative aims on collecting performance data under climatically different exposure conditions. Therefore it was required to provide weather data from the respective test sites to allow establishing relationships between climate conditions and the following measured, which shall be evaluated regularly: decay, discolouration, development of mould and other staining fungi, corrosion, formation of cracks and moisture performance (if data logging device is included). Further details about the test and the first outcomes are presented in this paper.
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  • Bayat Pour, Mohsen, et al. (författare)
  • A Literature Review of Probabilistic Hygrothermal Assessment for Building Envelopes
  • 2024
  • Ingår i: Building and Environment. - 0360-1323. ; 261
  • Forskningsöversikt (refereegranskat)abstract
    • This study presents a state-of-the-art review of the evolution of probabilistic hygrothermal assessments of building envelopes. First, relevant literature was identified by employing a systematic methodology, including scoping and systematic searches, quality assessment, and study analysis. The analysis, based on 143 selected publications, provides statistical insights into uncertainty propagation and sensitivity analysis methods, geographical distributions, climatic conditions, sustainability perspectives, uncertain parameter groups, employed metamodels, hygrothermal analysis tools, model dimensions, building usage, and moisture-related damage models. The results illustrate that the majority of probabilistic hygrothermal assessment studies, exceeding 95%, are not explicitly incorporating sustainability perspectives, including environmental, economic, and societal. Also, to enhance the accuracy in this field, it is important to integrate hygrothermal functions as uncertain input variables, given their potential to significantly impact hygrothermal performance compared to single material properties. While 90% of studies are confined to 1D modelling, extending research to 2D and 3D is advised to capture more complicated details. Moreover, case studies in tropical climates, where moisture-related issues can be prevalent, are noticeably lacking. Sensitivity analysis faces limitations due to its transient nature and variable interactions, necessitating identification of methods capable of non-linear and interactive analyses with low computational costs. Furthermore, several studies neglect ambient conditions and building usage considerations as stochastic variables, highlighting the need for comprehensive analyses. Lastly, understanding the merits and limitations of metamodeling methods is crucial for achieving reliable and robust hygrothermal analyses. The paper concludes by outlining the identified gaps and offering recommendations for future research in this field.
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  • Bayat Pour, Mohsen, et al. (författare)
  • Mould reliability analysis combined with mould health risks for decision support
  • 2023
  • Ingår i: AIP Conference Proceedings. ; 2918
  • Konferensbidrag (refereegranskat)abstract
    • Common solutions for building energy-efficient buildings constitute e.g., double-glazed windows, airtight building envelopes and highly insulated walls. These solutions may improve the indoor environment/comfort but can also lead to adverse effect, e.g., mould at the surface of the construction components and consequently human health problems. With this study, a mould risk assessment including health consequences, a decision analysis and their adaptation to different types of building envelopes are developed. Within the frame of a mould risk and decision analysis, a physics and biology-based mould reliability analysis is combined with a medical science-based health occurrence and consequence model on an interdisciplinary basis. For the minimization of the expected consequences, an Inutility Decision Analysis (IDA) including an objective function is introduced and applied to a case study. An external wooden frame wall in a residential building is analysed and optimized with IDA quantitatively modelling the expected life cycle costs and the mould induced health risk of design alternatives. The calculation of the probability of mould occurrence is based on hygrothermal and mould reliability analysis. The health consequences are calculated with the conditional probability of asthma as inferred from the odds ratio in medical literature. The costs of choosing a type of external wall, are modelled based on the costs of the materials and works related to assembling them. The design alternative with the minimum aggregated risks and expected cost, i.e., expected inutility is selected. Within the assumptions of the example, it is demonstrated that mould health consequences constitute an important part of the expected inutilities.
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  • Bayat Pour, Mohsen, et al. (författare)
  • Robust probabilistic modelling of mould growth in building envelopes using random forests machine learning algorithm
  • 2023
  • Ingår i: Building and Environment. - 0360-1323. ; 243
  • Tidskriftsartikel (refereegranskat)abstract
    • Probabilistic methods can be used to account for uncertainties in hygrothermal analysis of building envelopes. This paper presents methods for robust mould reliability analysis and identification of critical parameters. Mould indices are calculated by probabilistic hygrothermal analysis, followed by the application of the "Finnish mould growth model." To increase the robustness of the mould growth analysis, a random forests metamodel is first trained on the dataset and then used to expand the number of simulations. Finally, the reliability is calculated based on the probability of exceeding a given maximum mould index limit state. Critical parameters are identified through a sensitivity analysis based on linear and non-linear dependencies between inputs and maximum mould index. The methods are demonstrated by analysing three external wall assemblies. In conclusion, the mould reliability analysis method helps to assess the robustness of the hygrothermal analysis and mould assessment by investigating the influence of hygrothermal variables' uncertainties on the maximum mould index. By combining a metamodel with probabilistic analysis, it is possible to significantly reduce the amount of time required to evaluate a large number of scenarios.
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  • Brischke, Christian, et al. (författare)
  • Decay Hazard mapping for Europe
  • 2011
  • Ingår i: [Host publication title missing].
  • Konferensbidrag (refereegranskat)
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