IMP&CTS - IN SITU MEASUREMENT METHOD FOR PREDICTION & CHARACTERISATION AND DIAGNOSTIC TESTING OF STRUCTURE-BORNE SOUND

这项提议的核心是结构传声理论的发展。从数学上讲，这是现有理论中相当简单的一步，但这一步的实际意义却是深远的。它潜在地开启了一种全新的测量方法，应用于结构声源的测量，特别是用于表征结构声源，如泵、风扇、家用设备、飞机辅助设备、起重马达、船舶发动机和许多其他应用。“表征”意味着获取数据以描述声源，例如向购买者、顾问、规划者或监管机构描述。需要它来帮助防止、减少和管理不必要的结构噪声。新方法是一种原位方法，与现有方法相比具有几个主要优点。最重要的是，它可以通过在正常安装的结构声源中进行测量来应用。现有的表征方法不能以这种方式应用，因此无法处理广泛的重要来源，例如屋顶安装的风力涡轮机。实现新理论所需的测量技术已经很好地开发了，因此该方法已经成熟，可以在实际工业环境中开发。因此，拟议工作的核心在于在三个精心挑选的工业案例研究中实施原位方法。在案例研究1中，将介绍安装在屋顶上的风力涡轮机的特点。这项任务将与恩克拉夫特有限公司合作，后者在过去12个月里进行了有史以来最广泛的小型风力涡轮机试验，并因此迅速获得了世界声誉。他们将提供两个设施，即涡轮机操作和气象仪器方面的专业知识。我们认为，现场方法是唯一可能在风力涡轮机上实施的方法。这项任务迫在眉睫，因为英国高达6%的潜在发电能力以及潜在的2.5亿“小风能”行业目前完全出于对结构声的担忧而有效地“搁置”。在案例研究2中，将采用现场方法对道路车辆的道路噪声进行诊断测试。与传统方法相比，原位方法有两个主要的潜在优势：测试时间减少30%，所获得的数据可能被用作车辆数值模型的输入。通过任何其他手段获取这些数据都是极其困难和昂贵的。这项任务将是与总部位于英国的世界领先的汽车技术公司里卡多咨询有限公司的合作。他们将提供滚动道路设施、一辆车和大量的测试设备。他们将使用他们的传统方法对同一车辆进行平行调查，以与现场结果进行比较。在案例研究3中，现场方法将进一步扩展到预测飞机燃油泵马达的结构声。马达的特点是在一个装置上进行测量，数据将用于预测不同结构中的结构声级。这项任务将与波音公司及其一家英国燃油泵发动机供应商合作进行(尽管在资金确认之前，他们的参与不能得到授权)。这一案例将验证现场方法用于预测目的的有效性，并提供一个如何在供应链内传输数据的例子。在最后的任务中，将综合三个案例研究的结果并发表。我们还打算在此期间引入工业资助的工作，使团队能够自给自足。

At the heart of this proposal is a development in the theory of structure-borne sound. Mathematically it is a fairly simple step from existing theory, but the practical implications of the step are profound. Potentially it opens a whole new paradigm in measurement methods applied for structure-borne sound, and in particular for characterisation of structure-borne sound sources like pumps, fans, domestic equipment, auxiliary equipment in aircraft, lift motors, engines in ships and many other applications.'Characterisation' means acquiring data to describe the source, for example to a purchaser, consultant, planner or regulator. It is needed to help prevent, reduce and regulate unwanted structure-borne sound. The new method is an in situ method which has several major advantages over existing methods. Most significantly, it can be applied by taking measurements in a normal installation of the structure-borne sound source. Existing characterisation method cannot be applied in this way and so are unable to handle a wide range of important sources like, for example, roof mounted wind turbines. The measurement techniques required to implement the new theory are already well-developed so the approach is ripe for exploitation in real industrial contexts. Hence, the core of the proposed work lies in implementing the in situ method in three, carefully selected industrial case studies. In Case study 1 roof-mounted wind turbines will be characterised. This task will be a collaboration with Encraft Ltd. who have, over the last 12 months, carried out the most extensive trials of small wind turbines ever conducted and have quickly acquired a world-wide reputation as a result. They will provide access to two installations, expertise in turbine operation and meteorological instrumentation. We believe the in situ method to be the only method likely to be implementable for wind turbines. This task is urgent because up to 6% of the UK's potential electricity generating capacity together with a potential 250M 'small wind' industry are currently effectively 'on hold' purely because of concerns about structure-borne sound. In Case study 2 the in situ method will be implemented for diagnostic testing of road noise in a road vehicle. The in situ approach has two major potential advantages over conventional methods: a 30% reduction in test time and the fact that the data obtained can potentially be used as input to numerical models of vehicles. It is extremely difficult and costly to obtain this data by any other means. This task will be a collaboration with Ricardo Consulting Ltd. the world leading, UK-based automotive technology company. They will supply rolling road facilities, a vehicle and extensive test equipment. They will conduct a parallel investigation on the same vehicle using their conventional method for comparison with the in situ results.In Case Study 3 the in situ method will be extended further to the prediction of structure-borne sound from a fuel pump motor in an aircraft. The motor will be characterised by taking measurements on one installation and the data will be used to predict the structure-borne sound level in a different structure. It is proposed that this task will be conducted in collaboration with The Boeing Company and one of their UK suppliers of fuel pump motors (although their participation cannot be authorised until funding is confirmed). This case will both validate the in situ method's use for prediction purposes and provide an example of how the data can be transferred within the supply chain. In the final task, the results from the three case studies will be synthesised and published. We also aim to bring in industrially funded work during this period to enable the team to become self-supporting.