Fault Detection and Data Analysis for Structure and Infrastructure Engineering

Dear Colleagues,

During the lifetime of structures and infrastructure engineering, faults inevitably occur, which are a great threat to their safety and durability. At present, advanced fault-detecting devices and sensing technologies are booming with the rapid development of emerging technologies, such as smart materials, intelligent construction, Big Data, artificial intelligence (AI), and the Internet of Things (IoT). This provides access to high-quality data for analyzing the mechanism of faults occurring and, thus, their influence on the service performance of structure and infrastructure engineering. It is acknowledged that the fusion of detecting technologies and data analysis will be efficient tools for solving many scientific problems in structure and infrastructure engineering which were either unclear or unsolvable before.

In recent years, research has been connected to various fields, such as advanced sensor technologies, measurement techniques, data-driven computational mechanics of faults, and statistical decision-making algorithms, to improve the safety and durability of structure and infrastructure engineering.

This issue will include papers related to fault detection and data analysis for structure and infrastructure engineering. Original contributions that address both theoretical and experimental issues are welcome, and so are review articles on specific topics within the scope of this issue.

Prof. Dr. Haitao Yu
Prof. Dr. Yiming Zhang
Dr. Qing Ai
Guest Editors

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