A MIXED SIMULATION APPROACH TO ANALYZE MOLD GROWTH UNDER UNCERTAINTY
A MIXED SIMULATION APPROACH TO ANALYZE MOLD GROWTH UNDER UNCERTAINTY
复制标题
分析不确定性下霉菌生长的混合模拟方法
DOI：
--
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
G. Augenbroe
中科院分区：
文献类型：
--
作者：
H. Moon;G. Augenbroe
本文提出了一种分析建筑物霉菌生长风险的新方法，该方法基于混合模拟方法，并考虑了相关建筑参数的不确定性。该方法能够预测和解释意外的霉菌生长事件，这些事件通常不会出现在标准确定性模拟中。本研究通过使用多种标准模拟工具来模拟建筑物材料表面的局部环境条件。通过在相关输入参数中引入不确定性，该方法在特定建筑案例中的许多“问题点”处生成时间聚合霉菌生长条件的统计分布。然后将该分布转化为整体模具风险指标。此外，我们的方法还确定了那些不确定性范围对模具风险增加具有主导影响的参数。通过识别建筑构件、建筑运营和维护因素对风险增加的关键影响，可以在建筑设计和采购过程中采取适当的行动来应对这些风险。
The paper presents a new approach for analyzing mold growth risk in buildings, based on a mixed simulation approach with consideration of uncertainties in relevant building parameters. The approach is capable to predict and explain unexpected mold growth occurrences that would typically not show up in standard deterministic simulation. This study simulates the local environmental conditions at material surfaces in buildings by using a mix of standard simulation tools. By introducing uncertainties in relevant input parameters, this approach generates a statistical distribution of time aggregated mold growth conditions at a number of “trouble spots” in a specific building case. This distribution is then translated into an overall mold risk indicator. In addition, our method identifies those parameters whose uncertainty range has a dominant effect on an increase in mold risk. By thus identifying the critical influence of building components, building operation and maintenance factors on the increase in risk, appropriate actions during the building design and procurement process can be set up to address these risks.