LIN Jiazhen, SONG Yumin, WANG Xudong, GUO Shuling. Research on status evaluation method of long-span high-speed railway extradosed bridges based onAHP method[J]. Journal of Shanghai University of Engineering Science, 2026, 40(2): 196-201. doi: 10.12299/jsues.24-0288
Citation:
LIN Jiazhen, SONG Yumin, WANG Xudong, GUO Shuling. Research on status evaluation method of long-span high-speed railway extradosed bridges based onAHP method[J]. Journal of Shanghai University of Engineering Science, 2026, 40(2): 196-201. doi: 10.12299/jsues.24-0288
LIN Jiazhen, SONG Yumin, WANG Xudong, GUO Shuling. Research on status evaluation method of long-span high-speed railway extradosed bridges based onAHP method[J]. Journal of Shanghai University of Engineering Science, 2026, 40(2): 196-201. doi: 10.12299/jsues.24-0288
Citation:
LIN Jiazhen, SONG Yumin, WANG Xudong, GUO Shuling. Research on status evaluation method of long-span high-speed railway extradosed bridges based onAHP method[J]. Journal of Shanghai University of Engineering Science, 2026, 40(2): 196-201. doi: 10.12299/jsues.24-0288
With the surge in demand for health monitoring of long-span railway bridges, an urgent need exists for an evaluation method capable of reflecting the actual service status of bridges. A high-speed railway extradosed bridge was selected as the case study. Based on its health monitoring system and measured data, combined with domestic and foreign bridge evaluation methods, the analytic hierarchy process (AHP) was adopted to quantify the relative influence weights of critical structural components on overall performance. Consequently, a comprehensive evaluation of the bridge’s service status was conducted. A scoring formula for the bridge structural state was constructed, and actual monitoring data were analyzed to validate the accuracy and applicability of this formula. The proposed method and scoring formula were integrated into the bridge health monitoring system, and a corresponding evaluation module for the monitoring platform was developed. This module enables intuitive assessment and visualization of the bridge's service status. The results provide an effective reference for the service status evaluation of long-span high-speed railway bridges.
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