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首页> 外文会议>ASME international mechanical engineering congress and exposition >ENTROPY GENERATION FOR FOREST FIRE PROPAGATION PREDICTION THROUGH PREFERENTIAL DIRECTION ANALYSIS
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ENTROPY GENERATION FOR FOREST FIRE PROPAGATION PREDICTION THROUGH PREFERENTIAL DIRECTION ANALYSIS

机译：通过优先方向分析预测森林火灾的熵生成

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Physical models of wildfires have been widely applied for evaluating the fire front evolution in order to obtain useful information for fire management. The main drawback in adopting such models for predicting fire propagation concerns the high computational resources that are required, especially when the analysis involves large areas or when multiple scenarios are investigated, e.g. for risk analysis purpose. This is mainly due to the complexity of phenomena involved and the necessity to use multi-dimensional approaches for the reconstruction of the fire front in the landscape. Complete two dimensional analyses can be avoided provided that possible preferential paths can be identified. Once this result is obtained, the analysis is reduced to one dimensional simulations, which can be made faster through the use of reduced models, such as POD models. In this paper, an entropy generation analysis is proposed as approach to identify preferential paths for fire propagation analysis. The analysis of the effects due to wind and slope as well as the heat transfer mechanisms, including radiation, is performed. The different contributions to the local entropy generation rate are computed in a complex scenario and the areas involving minimum and maximum total amount of entropy generation are considered for evaluating the preferential directions.
机译：野火的物理模型已被广泛用于评估火锋的演变，以便获得有关火管理的有用信息。采用这样的模型来预测火势蔓延的主要缺点涉及所需的大量计算资源，尤其是在分析涉及大面积或研究多个场景时，例如在分析过程中。用于风险分析。这主要是由于所涉及现象的复杂性以及使用多维方法重建景观中的火锋的必要性。只要可以识别出可能的优先路径，就可以避免进行完整的二维分析。获得此结果后，分析将简化为一维模拟，可通过使用简化的模型（例如POD模型）来加快分析速度。在本文中，提出了一种熵产生分析作为识别火灾传播分析的优先路径的方法。进行了对由于风和坡度以及传热机制（包括辐射）造成的影响的分析。在复杂的情况下，将计算出对局部熵产生率的不同贡献，并考虑涉及最小和最大总量的熵产生的区域，以评估优先方向。

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