Study on a Longitudinal Cooperative Performance Indicator for Simply Supported-Then-Continuous Beam Bridges

During service, wet joints at the top of middle piers in simply supported-then-continuous (SSC) beam bridges are structurally the weakest parts, prone to degradation of longitudinal cooperative performance. Such deterioration may cause the continuous system to degenerate into a purely simply supported bridge, thereby endangering safety. To address this issue, this study proposes the strain correlation coefficient of the bottom of adjacent span beams as a monitoring indicator for longitudinal cooperative performance. A typical mechanical model of an SSC bridge is established, and the analytical expression of the indicator under statistical steady state is derived. Theoretical results show that the indicator converges to a stable value; sensitivity analysis further demonstrates that this value is governed primarily by wet joint stiffness, while remaining largely insensitive to span stiffness and robust against measurement noise. Numerical simulations under statistical steady-state traffic flow confirm the applicability of the indicator and its effectiveness in representing longitudinal cooperative performance. Validation through both numerical simulations and long-term field monitoring of the Tongji Road Viaduct further demonstrates the indicator’s sensitivity, robustness, and stability. Beyond this case study, the proposed method offers a generalizable analytical framework for evaluating longitudinal cooperative performance in multispan precast beam bridges, providing both practical utility for structural health monitoring and broader theoretical advancement.

Authors

Institutions

Publication Details

Journal
Journal of Bridge Engineering
Published
2026-02-09
DOI
https://doi.org/10.1061/jbenf2.beeng-7812
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on a Longitudinal Cooperative Performance Indicator for Simply Supported-Then-Continuous Beam Bridges

Jia Pengfei, Asad Khan, Di Minyi, Danhui Dan et al.
Journal of Bridge Engineering
Structural Health Monitoring Techniques
article

Study on a Longitudinal Cooperative Performance Indicator for Simply Supported-Then-Continuous Beam Bridges

Jia Pengfei, Asad Khan, Di Minyi, Danhui Dan, Wei Han
article en

Abstract

During service, wet joints at the top of middle piers in simply supported-then-continuous (SSC) beam bridges are structurally the weakest parts, prone to degradation of longitudinal cooperative performance. Such deterioration may cause the continuous system to degenerate into a purely simply supported bridge, thereby endangering safety. To address this issue, this study proposes the strain correlation coefficient of the bottom of adjacent span beams as a monitoring indicator for longitudinal cooperative performance. A typical mechanical model of an SSC bridge is established, and the analytical expression of the indicator under statistical steady state is derived. Theoretical results show that the indicator converges to a stable value; sensitivity analysis further demonstrates that this value is governed primarily by wet joint stiffness, while remaining largely insensitive to span stiffness and robust against measurement noise. Numerical simulations under statistical steady-state traffic flow confirm the applicability of the indicator and its effectiveness in representing longitudinal cooperative performance. Validation through both numerical simulations and long-term field monitoring of the Tongji Road Viaduct further demonstrates the indicator’s sensitivity, robustness, and stability. Beyond this case study, the proposed method offers a generalizable analytical framework for evaluating longitudinal cooperative performance in multispan precast beam bridges, providing both practical utility for structural health monitoring and broader theoretical advancement.

Journal of Bridge EngineeringVol. 31(4)
Tongji University (CN), Shanghai Research Institute of Building Sciences (China) (CN)
Openalex Percentile: Top 63%
Structural Health Monitoring Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.