介绍
风洞测试提供了宝贵的实验数据,可以准确地反映作用在结构上的空气力。 该数据对于以下情况至关重要:
- 验证和调整模拟:确保 RFEM 中的数值模型更接近实际情况。
- Enhancing Design Accuracy: Providing detailed insights into wind pressures and forces, leading to more accurate and efficient structural designs.
- 安全保证: 帮助工程师识别潜在的弱点并设计更安全的结构。
验证示例的重要性
验证是任何模拟过程中的关键步骤。 这样可以确保模型准确地反映真实情况。 通过将模拟结果与实验数据进行比较,工程师们可以找出差异并改进模型,从而得到更准确的预测。
RFEM逐步实现
1. 收集和准备风洞数据
可以在按比例的结构模型上进行风洞测试,以测量风压、风力和风流。 In this example, we used wind pressure experimental data on probe points.
将数据(包括风压值)组织为结构化格式,通常为 CSV 或 Excel。
2. 在 RFEM 中设置模型
Open RFEM and create a new project, then build the geometry of the experimental model (Figure 2).
- Define a load case for experimental data and activate options for experimental wind data (Figure 3), then introduce point probes coordination by using additional surface result points (Figure 4).
- 定义模拟参数: Set up the domain size, boundary conditions, mesh density (Figure 5), wind profile and turbulence intensity (Figure 6).
3. 结果输出
RWIND 中提供两种插值方法: diffusion interpolation and Gaussian interpolation kernel (Figure 3). 必须为所有探测选择一种方法(见
知识库文章 1871
)[SCHOOL.INSTITUTION] It is possible to transfer experimental wind load data by using interpolation method in order to structural analysis and design in RFEM
扩散法是将数据从“源”点开始分布在整个面上。 适用于对测点密集的网格。 对于薄的开放结构,该方法只在板的一侧进行插值。 通过使用模拟技术将风荷载传递到结构分析和设计中是可能的。
Here is the results for diffusion interpolation (Figure 4):
Also calculation of statistical parameters and related diagram are provided manually to show how much the results of RWIND and experimental are close to each other. The Simplified Mesh RWIND simulation data shows a slightly better correlation with the experimental wind pressure data than the Exact Mesh RWIND data (Figure 5). 计算结果与实验数据相符,从而使 RWIND 成为预测风压的可靠工具。 The high statistical values (R and R2) demonstrate that both simulation approaches can effectively replicate experimental wind pressure results, with the Simplified Mesh performing slightly better (Figure 6).
概述总结
将验证数据集成到RWIND中是实现准确可靠的风流预测的关键一步。 By following a systematic approach to prepare, import, and compare experimental data with simulation results, engineers can refine their models and ensure that their designs are both efficient and safe. This process not only enhances the credibility of RWIND simulations but also contributes to the overall advancement of structural engineering practices.
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