Scour Detection with Monitoring Methods and Machine Learning Algorithms-A Critical Review

Foundation scour is a widespread reason for the collapse of bridges worldwide. However, assessing bridges is a complex task, which requires a comprehensive understanding of the phenomenon. This literature review first presents recent scour detection techniques and approaches. Direct and indirect monitoring and machine learning algorithm-based studies are investigated in detail in the following sections. The approaches, models, characteristics of data, and other input properties are outlined. The outcomes are given with their advantages and limitations. Finally, assessments are provided at the synthesis of the research.

Automated summary

This literature review provides an overview of recent scour detection techniques and approaches, including direct and indirect monitoring as well as machine learning algorithm-based studies. The review outlines the methods, models, characteristics of data, and other input properties, and discusses the advantages and limitations of each approach. Finally, a synthesis of the research is provided with assessments.