Characterizing Residual Stress on Pipework Weld Repairs Using Machine Learning.

使用机器学习表征管道焊缝修复的残余应力。

• 批准号: 2883610
• 金额: --
• 依托单位: The Open University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2883610
• 关键词: Characterizing; Residual; Stress; Pipework; Weld

As I rounded the curve while maintaining my pace within the green area of the floor, I was shocked to see a massive red-hot ingot being lowered by rails onto a platform after emerging from a building-sized furnace. I closed in on the delegation as we continued our factory tour at Doosan Heavy Industries' nuclear reactor production division in Changwon, South Korea, attempting not to be distracted by the surrounding welding activities. Participating in that two-week intensive IAEA-KHNP training programme on the successful launch of nuclear power programmes for newcomer countries while I was employed as a technologist at the Ghana nuclear power institute prompted a period of intense self-reflection regarding my purpose, something I had struggled to determine up until that point. Engaging with like-minded engineers and researchers from around the world as they shared knowledge in the spirit of cooperation to advance nuclear energy, I quickly realized that this was a field to which I was more suited and to which I would be content devoting myself to making significant contributions. Consequently, despite having a bachelor's degree in biomedical engineering, I decided to pursue master's studies in nuclear engineering. Having conducted research during both my undergraduate and graduate studies, as well as spending two years analyzing data in a nuclear research institution and completing certification courses on Udemy, I have acquired skills in data science, machine learning with Pytorch, molecular dynamics, Monte Carlo simulation, and scientific writing, among others. All of these inform my approach to problem-solving and allow me to construct research projects, conduct experiments and simulations, and derive meaningful insights from output data-all of which are crucial to research. For example, my master's thesis required me to develop custom data modules with Python scripts to automate the process of reading specific numerical values from simulation logfiles and processing, computing, and graphing the results. Consequently, by reducing repetitive workflows, I had more time to focus on result interpretation.

当我在地板绿色区域内保持步伐时将曲线绕开时，我震惊地看到，从建筑尺寸的炉子中涌出后，轨道将大量的红色铸入式降低到一个平台上。当我们继续在韩国长华恩的杜桑核反应堆生产部门继续我们的工厂巡回演出时，我关闭了代表团，试图不被周围的焊接活动分散注意力。在加纳核电研究所（Ghana Euto Power Institute）被聘为技术专家的同时，参加了为新移民国家成功启动核电计划的两周密集的IAEA-KHNP培训计划，这促使我对我的目的进行了一次激烈的自我反思，这是我一直在努力确定的事情。与志趣相投的工程师和来自世界各地的研究人员互动，他们分享了合作精神以推动核能的知识，我很快意识到，这是我更适合的领域，我将满足于奉献自己的重要贡献。因此，尽管拥有生物医学工程学士学位，但我还是决定从事核工程硕士学位。在我的本科和研究生研究期间进行了研究，并花了两年的时间分析核研究机构的数据并完成了Udemy的认证课程，我已经获得了数据科学的技能，使用Pytorch，Pytorch，Molecular Dynamilics，Monte Carlo Simulation，Monte Carlo Simulation和Scientific Trugity获得了机器学习。所有这些都为我解决问题的方法提供了信息，并允许我构建研究项目，进行实验和模拟，并从输出数据中获得有意义的见解，这些见解对于研究至关重要。例如，我的主论文要求我开发具有Python脚本的自定义数据模块，以自动从模拟日志文件和处理，计算和绘制结果读取特定数值的过程。因此，通过减少重复的工作流程，我有更多时间专注于结果解释。