An AI based ultrasonic array inspection of surface breaking defects resided on corroded and uneven surfaces

基于人工智能的超声波阵列检测腐蚀和不平坦表面上的表面破裂缺陷

• 批准号: 2887816
• 金额: --
• 依托单位: University of Bristol
• 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-2887816
• 关键词: AI; based; ultrasonic; array; inspection

The aim of the project is to develop permanently installed ultrasonic arrays for in-situ monitor the health of hydrogen storage containers and pipelines, especially monitoring the initiation and development of hydrogen induced defects, including hydrogen blistering, hydrogen embrittlement, hydrogen-induced cracks and hydrogen stress cracks. The project will be achieved by integrating of the developed low cost ultrasonic arrays with the inverse modelling methods to interpret historical stored ultrasonic array data. This project will provide more accurate information about hydrogen induces defects for structural integrity assessment, enabling more accurate assessment of the health of structures and providing assurance of their safe operations. The project's outcome will support progress toward net zero and energy sustainability of hydrogen engineering structures.

该项目的目的是开发永久安装的超声波阵列，用于现场监测储氢容器和管道的健康状况，特别是监测氢致缺陷的产生和发展，包括氢泡、氢脆、氢致裂纹和氢应力裂纹。该项目将通过将开发的低成本超声波阵列与反向建模方法相结合来实现，以解释历史存储的超声波阵列数据。该项目将为结构完整性评估提供更准确的氢致缺陷信息，使结构的健康状况得到更准确的评估，并为其安全运行提供保证。该项目的成果将支持氢工程结构实现净零和能源可持续性的进展。