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阵列，以监视氢储存容器和管道的健康，尤其是监测氢诱导的缺陷的起始和开发，包括氢气泡，氢含水，氢诱导的裂纹和氢气裂纹。该项目将通过将开发的低成本超声阵列与解释历史存储的超声阵列数据的反向建模方法相结合来实现。该项目将提供有关氢的更准确信息，以引起结构完整性评估的缺陷，从而更准确地评估结构的健康状况并提供对其安全操作的保证。该项目的结果将支持净零净和氢工程结构的能源可持续性的进展。