使用蒙特卡洛方法论对应变量测量的不确定性模型
Matthias Haslbeck1, Jörg Böttcher1, Thomas Braml1
1Universität der Bundeswehr München, Werner-Heisenberg-Weg 39, D-85577 Neubiberg, Germany.
Sensors (Basel, Switzerland)
|November 14, 2023
概括
本研究提出了一种方法,用于评估机械系统在电压力表测量的不确定性. 该方法使用蒙特卡洛模拟来模拟影响因素和非线性,帮助实际的工程应用.
科学领域:
- 机械工程 机械工程
- 计量学 计量学 计量学
- 土木工程 土木工程是指土木工程.
背景情况:
- 精确的机械系统验证依赖于精确的测量.
- 了解测量不确定性对于可靠的数据至关重要.
- 电力应变计被广泛使用,但需要仔细评估不确定性.
研究的目的:
- 开发和介绍一种实用的方法,用于评估使用电力应变计测量的不确定性.
- 模拟关键影响因素,包括非线性和环境条件.
- 将该方法应用于静态负载下的大跨度公路桥上的应变测量.
主要方法:
- 基本测量模型的演,包括主要影响因素及其不确定性.
- 输入的统计建模和潜在的物理关系.
- 蒙特卡洛模拟用于不确定性传播的应用.
- 基于变异的灵敏度分析,以评估非线性和因素重要性.
- 试验量化标杆错位效应. 标杆错位效应的实验量化.
主要成果:
- 开发了一个全面的方案,用于评估不确定性在应变测量.
- 量化了非线性,环境条件和标尺错位的影响.
- 灵敏度分析确定了影响测量不确定性分布的关键因素.
- 该方法在现实世界的桥梁工程项目中展示了实际的应用性.
结论:
- 开发的方法为评估应变测量不确定性提供了一个强大的框架.
- 它简化了这个过程,需要在分析不确定性推导方面最少的专业知识.
- 该方案可适应各种工程应用和要求.
- 精确的不确定性量化提高了机械系统验证的可靠性.
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