用于国防系统增强型振动测试与鉴定的数字孪生

该项目致力于开发基于物理原理的数字孪生技术，以提升国防系统振动鉴定测试的精度。通过将有限元模型与实测数据相结合，该项目旨在预测未测量的响应，减少必要的物理测试工作，同时确保符合可靠性及认证标准。申请者应具备结构动力学相关技能，并拥有使用 Python 或 Matlab 进行编程的经验。

About the project This project will develop physics-informed digital twins that augment vibration qualification testing of defence systems. By combining models and measurements, the project will predict unmeasured responses, extend test evidence to new conditions, account for ageing and uncertainty, and reduce physical testing while maintaining confidence in certification, qualification and reliability assessments. This project will develop physics-informed digital twins that work alongside physical vibration tests, enabling defence systems to be certified and qualified with fewer tests and with evidence whose reliability is understood. Before a mechanical system enters military service, evidence must show that it will perform safely and reliably throughout its life. For dynamic loads, this comes from qualification testing against vibration and shock profiles representing expected environments. Physical testing cannot cover every environment, configuration and ageing state an asset will meet. Laboratory tests also differ from service conditions. Many critical parts sit inside sealed assemblies where sensors cannot be fitted, so their response is never measured directly. In this project you'll build digital twins of a test article and its test setup, combining finite element and reduced-order models with measured data. You'll: model the coupled shaker, fixture, controller and test article to plan multi-axis tests and predict where they depart from service conditions extend test results to untested configurations and environments estimate responses of inaccessible internal parts from external measurements using state estimation quantify uncertainty in each prediction and develop criteria to compare the trustworthiness of twin-based evidence with traditional qualification approaches validate the methods on laboratory structures You'll gain skills in structural dynamics and uncertainty quantification that are in demand across the defence, aerospace and nuclear sectors. You'll also benefit from inclusion in the 'Ministry of Defence and Engineering and Physical Sciences Research Council Centre for Doctoral Training in Complex Integrated Systems for Defence and Security' (MOD/EPSRC CISDnS CDT), which offers opportunities for interdisciplinary working, collaboration and networking with defence partners.

入学要求 您必须拥有英国 2:1 荣誉学位或其同等国际学位，且所学专业属于以下领域之一： 机械工程或航空航天工程 物理学 数学 相关学科 将建模与实验相结合的研究兴趣至关重要。 建议具备使用 Python 或 Matlab 进行编程的经验。

Funding: Competition funded Fees and funding For candidates looking to complete a PhD or EngD full-time we offer an enhanced tax-free stipend of up to £30k per year, along with a substantial budget for research, travel, and centre activities. CISDnS is committed to promoting equality, diversity and inclusivity. We welcome all applicants regardless of their gender, ethnicity, disability, sexual orientation or age, and will give full consideration to applicants seeking flexible working patterns and those who have taken a career break or are transitioning into a new role. The University has a generous maternity policy, onsite childcare facilities, and offers a range of benefits to help ensure employees’ well-being and work-life balance.

如何申请 请通过在线系统门户提交申请，并选择相应的选项： 学年：2027/28 您是全职还是兼职学习？ 工程与物理科学学院 搜索“复杂集成系统” 选择博士学位或工程学学位——如果您不确定，请选择博士学位 在申请书的第2节中注明指导老师的姓名 申请材料应包括： 您的CV（个人简历） 2份学术推荐信 截至目前的学位课程成绩单和证书