虚拟超声流量计的仿真不确定度

M. Straka, A. Weissenbrunner, C. Koglin, Christian Höhne, S. Schmelter
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引用次数: 1

摘要

超声钳式流量计已成为一种成熟的无创流量测量技术。在扰动流动条件下,它们的测量值必须用相应的流体力学校准因子进行调整。由于各种流动干扰和安装位置,这些因素的实验确定往往需要辅以计算流体动力学(CFD)模拟。从计量学的角度来看,用模拟结果代替实验提出了一个问题,即如何确保所谓的虚拟测量的可信度。虽然通常有完善的方法来估计CFD预测中的误差,但满足基于CFD的虚拟仪表的计量要求的策略尚未开发出来。本文提出了一种评估虚拟流量计整体不确定度的框架。与测量不确定度的评估类似,该方法基于利用代表整个计算域的扩展模拟不确定度。以双弯面外下游的超声夹紧仪表为例进行了研究。然而,该方法适用于其他流量扰动和不同类型的虚拟仪表。不同湍流建模方法的实验室实验和仿真结果对比表明,混合RANS- les模型明显优于工业标准RANS模型。扩展的模拟不确定度为1.44e-2,使用混合模型获得的虚拟测量允许在令人满意的置信度水平下连续确定适用于真实仪表相关安装位置的校准因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation Uncertainty for a Virtual Ultrasonic Flow Meter
Ultrasonic clamp-on meters have become an established technology for non-invasive flow measurements. Under disturbed flow conditions, their measurement values must be adjusted with corresponding fluid mechanical calibration factors. Due to the variety of flow disturbances and installation positions, the experimental determination of these factors often needs to be complemented by computational fluid dynamics (CFD) simulations. From a metrological perspective, substituting experiments with simulation results raises the question of how confidence in a so-called virtual measurement can be ensured. While there are well-established methods to estimate errors in CFD predictions in general, strategies to meet metrological requirements for CFD-based virtual meters have yet to be developed. In this paper, a framework for assessing the overall uncertainty of a virtual flow meter is proposed. In analogy to the evaluation of measurement uncertainty, the approach is based on the utilization of an expanded simulation uncertainty representing the entirety of the computational domain. The study was conducted using the example of an ultrasonic clamp-on meter downstream of a double bend out-of-plane. Nevertheless, the proposed method applies to other flow disturbances and different types of virtual meters. The comparison between laboratory experiments and simulation results with different turbulence modeling approaches demonstrates a clear superiority of hybrid RANS-LES models over the industry standard RANS. With an expanded simulation uncertainty of 1.44e-2, the virtual measurement obtained with a hybrid model allows for a continuous determination of calibration factors applicable to the relevant mounting positions of a real meter at a satisfactory level of confidence.
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