Yuan, Y.; Zhu, X.; Li, J. Moving−Principal−Component−Analysis−Based Structural Damage Detection for Highway Bridges in Operational Environments. Sensors2024, 24, 383.
Yuan, Y.; Zhu, X.; Li, J. Moving−Principal−Component−Analysis−Based Structural Damage Detection for Highway Bridges in Operational Environments. Sensors 2024, 24, 383.
Yuan, Y.; Zhu, X.; Li, J. Moving−Principal−Component−Analysis−Based Structural Damage Detection for Highway Bridges in Operational Environments. Sensors2024, 24, 383.
Yuan, Y.; Zhu, X.; Li, J. Moving−Principal−Component−Analysis−Based Structural Damage Detection for Highway Bridges in Operational Environments. Sensors 2024, 24, 383.
Abstract
With the deterioration of the bridge performance and ever-increasing amount of traffic, the bridge safety is becoming a concern for engineering community. A method that can assess the bridge's condition in real-time is urgently needed. The main factors that hinder the bridge condition assessment are the uncertain operational environments. A new moving principal component analysis (MPCA) based method is developed for structural damage detection of bridges in operational environments in this paper. Two main operational environmental factors: the environmental temperature and traffic loads, are studied in the assessment process to verify the robustness and practicality of the proposed method. The numerical and experimental results show that the proposed method is effective and accurate to assess the bridge condition in operational environments.
Keywords
moving principal component analysis; structural damage detection; moving vehicles
Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
