Study on Structural Health Monitoring Practice Using Artificial Intelligence
Peng Liu · 2023
Given the rise of artificial intelligence, there are numerous intra-discipline studies taking place driven by the AI's powerful data mining and analysis capability. In the field of civil structure engineering, this new trend for the past decade has inspired many researchers to develop novel and powerful engineering methodologies for the studies in civil structural design, analysis and rehabilitation. Structural Health Monitoring (SHM), as a key branch of structural engineering, has undoubtedly attracts favors from the academics due to its characteristics that require massive dataset processing and continuous monitoring. This paper reviews the focus of SHM, compares the new wireless sensor network (WSN) with traditional wired sensor networks; and regarding AI in the structural engineering practices as its most important branch in structural engineering: Machine Learning (ML), the mostly used ML coding system Python and relative libraries. Finally, a series of studies with novel perspectives or approaches are reviewed, all of which feature AI-assisted and intelligent sensing.