NETWORK: Hybrid Numerical-Experimental Testing for Complex Engineering Systems

在极端载荷或环境条件下测试复杂工程系统的动力学是一个众所周知的难题，传统的建模技术在这方面没有被证明是成功的。这导致工程师们考虑开发一种混合模型测试形式，其中系统的一部分是数字的，一部分是昂贵的。有一系列这样的混合测试技术，其中最新的被称为实时动态子结构。使用驱动系统和先进的实时控制技术，将计算机模型与真实的物理测试样本粘合在一起，基本上是子结构。这种形式的测试允许工程师通过实验将重点放在系统中的关键元素上，而其余的则通过计算建模。混合测试背后的科学在过去十年里一直在发展，现在已经充分发展，可以将好处转移到工业用户身上。这项建议的目的是将该领域的领先研究专家与工业用户聚集在一起，以便：(I)在英国高等教育机构中提供该领域的关键大规模研究重点，(Ii)促进向工业用户转让技术，以及(Iii)促进对混合测试的科学理解和实践发展。网络将由一个由工程师、数学家和计算机科学家组成的跨学科团队组成。该网络将由来自布里斯托尔的首席调查员和小组与牛津大学和巴斯大学的学术伙伴合作进行协调。该网络的初始成员将包括其他学者和行业合作者。在整个网络期间，我们将寻求扩大成员，特别是在相关的工业部门中

Testing the dynamics of complex engineering systems under extreme loading or environmental conditions is a notoriously difficult problem in which traditional modelling techniques have not proved successful. This has led engineers to consider developing a form of hybrid model testing where partof the system is numerical and part expenmental. There are a range of these hybrid testing techniques, the most recent of which Is called real-time dynamic substructuring. Substructuring essentially 'glues together' a computer model with a real physical test specimen, using actuation systems and advanced real time control techniques. This form of testing allows engineers to focus experimentally on critical elements in the system whilst the remainder Is modelled computationally. The science behind hybrid testing has been under development for the past ten years, and Is now developed sufficiently so that the benefits can be transferred to industrial users. The aim of this proposal is to bring together the leading research experts in this field, with Industrial users In order to: (I) provide a critical mass research focus in this area across UK HE Institutions, (ii) facilitate the transfer of technology to Industrial users and (iii) promote the scientific understanding and practical development of hybrid testing.The network will comprise of an interdisciplinary team of engineers, mathematicians and computer scientists. The network will be coordinated by the principle Investigator and team from Bristol in dose collaboration with academic partners at Oxford and Bath. Initial membership of the network will comprise other academics and Industrial collaborators. Throughout the duration of the network we will seek to expand the membership, especially amongst the relevant Industrial sectors