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Can existing mould growth models be used to predict mould growth on wooden claddings exposed to transient wetting?

机译:是否可以使用现有的霉菌生长模型来预测暴露于瞬态润湿的木质覆层上的霉菌生长?

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Surface mould growth contributes to the colour changes of outdoor exposed wood over time. Modelling mould growth can thus help visualize wooden facades' colour development, which can improve facade design and service life. However, existing wood mould models do not consider transient wetting effects that occur outdoors due to precipitation and condensation. To address this, four mould models were evaluated using laboratory experimental data that included exposure to transient wetting. First, the models (the original and the updated VTT model, the biohygrothermal model and the mould resistance design (MRD) model) were evaluated for Scots pine sapwood. For this evaluation, the transient wetting effect was implemented in the models by using hourly wood surface relative humidity (RH), calculated from electrical resistance measurements, as input. This showed that the original and the updated VTT model gave best fit to the experimental data. However, further evaluation of these two models for more wood materials showed that the updated VTT model was sensitive to the choice of material parameters. Large discrepancies occurred when varying the material parameters in the updated VTT model. Finally, different estimates of RH were tested in the original VTT model. Using wood surface RH as input gave best fit to the experimental data, and ambient air RH gave poorest fit. Overall, the results indicate that the original VTT model is fairly reliable and can be used to predict mould growth on wooden claddings exposed to transient wetting as long as the wood surface climate is used as climatic input data.
机译:随着时间的推移,表面霉菌的生长会导致室外裸露木材的颜色变化。因此,对霉菌生长进行建模可以帮助可视化木质外墙的颜色发展,从而可以改善外墙设计和使用寿命。然而,现有的木模模型没有考虑由于沉淀和凝结而在户外发生的瞬时润湿效应。为了解决这个问题,使用包括暴露于瞬态润湿的实验室实验数据对四个模具模型进行了评估。首先,对苏格兰松材边材的模型(原始和更新的VTT模型,生物湿热模型和防霉设计(MRD)模型)进行了评估。为了进行此评估,在模型中通过使用每小时木材表面相对湿度(RH)(由电阻测量值计算)作为输入来实现瞬时润湿效果。这表明原始和更新的VTT模型最适合实验数据。但是,对这两种模型对更多木材的进一步评估表明,更新的VTT模型对材料参数的选择很敏感。在更新的VTT模型中更改材料参数时,会出现较大的差异。最后,在原始VTT模型中测试了不同的RH估计值。使用木材表面相对湿度作为输入最适合实验数据,而周围空气相对湿度最差。总体而言,结果表明,原始的VTT模型是相当可靠的,并且只要将木材表面气候用作气候输入数据,就可以用于预测暴露于短暂湿润的木质覆层上霉菌的生长。

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