AI Enhanced Civil Infrastructure Safety

Dear Colleagues,

Due to the critical role of civil infrastructure in modern society, it should be able to remain safe and reliable under service environments or accident disasters, such as earthquakes, rockfalls, tsunamis, fires, blasts, etc. Maintaining the safety of civil infrastructure was, is and will continue to be a significant research topic. Although magnificent progress has been made, there are still critical challenges related to the demand for more accurate, efficient and pragmatic safety assessment and analysis of civil infrastructures under multiple scenes due to the intrinsic failure mechanism of materials and the large uncertainty within external effects. With more high-performance materials being introduced, this challenge becomes trickier. However, with the rapid development of the AI field, a brand-new opportunity has emerged to reveal these mechanisms and uncertainties and tackle the above challenge with AI's assistance. From this perspective, this topic aims to invite relevant scholars and collect the innovative outcomes of their research in civil and infrastructural safety via AI-enhanced, multi-disciplinary principles. We hope this Topic will be a platform for sharing novel knowledge and stimulating new ideas. The specific topics include, but are not limited to, new developments in the following:

• Data-driven material and component performance prediction
• AI-enhanced structural behavior analysis
• Structural design upgraded by AI
• AI-aided structure construction techniques
• Structure maintenance with smart sensing
• Structural damage inspection based on AI
• AI applications in structural health monitoring
• Smart structural maintenance management
• AI-aided optimization of conformation and structure.

Dr. Shizhi Chen
Dr. Jingfeng Zhang
Dr. Ekin Ozer
Dr. Zilong Ti
Dr. Xiaoming Lei
Topic Editors