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A PICARD NEWTON METHOD TO SOLVE NON LINEAR AIRFLOW NETWORKS

机译:求解非线性气流网络的PICARD牛顿法

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In detailled buiding simulation models, airflow modelling and solving are still open and crucial problems, specially in the case of open buildings as encountered in tropical climates. As a consequence, wind speed conditioning indoor thermal comfort or energy needs in case of air conditionning are uneasy to predict. A first part of the problem is the lack of reliable and usable large opening elementary modelling and another one concerns the numerical solving of airflow network. This non linear pressure system is solved by numerous methods mainly based on Newton Raphson (NR) method. This paper is adressing this part of the difficulty, in our software CODYRUN. After model checks, we propose to use Picard method (known also as fixed point) to initialise zone pressures. A linear system (extracted from the non linear set of equations) is solved around 10 times at each time step and NR uses this result for initial values. Known to be uniformly but slowly convergent, this method appears to be really powerful for the building pressure system. The comparison of the methods in terms of number of iterations is illustrated using a real test case experiment.
机译:在详细的建筑物模拟模型中,气流建模和求解仍然是开放且关键的问题,特别是在热带气候下遇到的开放建筑物的情况下。结果,难以预测风速调节室内的热舒适性或空调情况下的能量需求。问题的第一部分是缺乏可靠和可用的大开口基本模型,而另一部分则涉及到气流网络的数值求解。该非线性压力系统主要通过基于Newton Raphson(NR)方法的多种方法来解决。本文在我们的软件CODYRUN中解决了这部分困难。在模型检查之后,我们建议使用Picard方法(也称为定点)来初始化区域压力。线性系统(从非线性方程组中提取)在每个时间步上求解约10次,NR将此结果用作初始值。已知这种方法统一但缓慢收敛,对于建筑压力系统而言,此方法似乎非常有效。使用实际的测试案例实验说明了在迭代次数方面这些方法的比较。

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