Bridges: Shu-Yu Bridge

Case study: SOFO, ADAM System

Early age monitoring
Prestress monitoring
I cross-section

Project Description

Summary: Deformation monitoring of two I-beam type girders during on-site precast, prestress, errection and slab pouring. Prestress stage monitoring.

Clients: Hua-Lian County Government

Place: Hua-Lian (Taiwan)

Period: 2004  - N/A

Installation: RouteAero Tech. & Eng. Consultants

Structure's short description: Shu-Yu bridge is located on Hua-Lian county highway 64. Four 35 m long I-beam girders were precast and prestressed on-site before erection. The formwork of girders with rebar cages and strands was aligned during concrete pouring. After 30 days of storage time on-site, four I-beam girders were post-tensioned to transfer force to prefabricated concrete girders. The girders were than erected in five days. The bridge were finished and opened to traffic around 3 months and half after deck pouring and pavement applied.

Aim of monitoring: The goal of this project is to monitor whole life of part of the bridge, including early age, prestressed, and transportation stage. In this project, two of four girders were monitored with 12 SOFO standard sensors and thermocouples embedded before pouring. The arrangement of sensors in purpose for monitoring deformation and curvature, thermal effect by ambient environment influence. Prestress stage was commonly considered most critical period of prefabrication, thus it was carefully monitored and recorded.

Number of sensor: 12

Main Results: Measurements, including thermocouples were recorded from the beginning of concrete pouring works. 24 hours continuous measurements were set after pouring finished. Girders were also monitored after 30 days of storage time . Prestress losses in girder for different sections was extracted distinctly from data obtained by SOFO sensors. After the prestressing, the monitoring data showed tendency of girders to stabilize, with small influence of daily temperature.

Position of sensors, top view

Position of sensors, cross-sectional view

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