Special Issues
Table of Content

Monitoring, Assessment and Safe Operation of Energy Infrastructure

Submission Deadline: 31 December 2026 View: 61 Submit to Special Issue

Guest Editor(s)

Assoc. Prof. Ziguang Jia

Email: jiaziguang@dlut.edu.cn

Affiliation: School of Chemical Engineering, Ocean and Life Sciences, Dalian University of Technology, Dalian, China

Homepage:

Research Interests: marine structure monitoring and assessment, fiber optic sensing technology, pipeline integrity management

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Summary

Energy infrastructure, encompassing offshore engineering structures, power system equipment, photovoltaic support structures, and other critical energy facilities, provides fundamental support for global energy supply. Serving in harsh environments with complex dynamic loads, such structures commonly suffer from performance degradation, damage accumulation, and potential safety hazards, which makes structural monitoring, integrity assessment, and safe operation indispensable.


This special issue places a strong emphasis on the development, optimization, and engineering application of novel sensing technologies and high-performance sensors for structural deformation and condition monitoring. It also covers risk-based inspection (RBI) in practical engineering scenarios, wind-induced vibration monitoring, and bolt looseness detection for structural components, structural damage identification and integrity assessment, as well as safety operation and maintenance strategies for energy infrastructure. We welcome high-quality original research and engineering applications that integrate technological innovation with on-site implementation, aiming to promote the progress of structural safety and reliability technologies for energy infrastructure.


Keywords

novel sensing technology, sensor development, structural deformation monitoring, risk-based inspection (RBI), vibration monitoring, structural damage detection, structural integrity assessment, safety operation and maintenance, construction management,analytic hierarchy process (AHP) evaluation

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