Buy article PDF
The purchased file will be sent to you
via email after the payment is completed.
US$ 35
|
Computers and Concrete Volume 8, Number 3, June 2011 , pages 293-309 DOI: https://doi.org/10.12989/cac.2011.8.3.293 |
|
|
|
Modeling of temperature distribution in a reinforced concrete supertall structure based on structural health monitoring data |
||
Y.Q. Ni, P. Zhang, X.W. Ye, K.C. Lin and W.Y. Liao
|
||
| Abstract | ||
| A long-term structural health monitoring (SHM) system comprising over 700 sensors of sixteen types has been implemented on the Guangzhou Television and Sightseeing Tower (GTST) of 610 m high for real-time monitoring of the structure at both construction and service stages. As part of this sophisticated SHM system, 48 temperature sensors have been deployed at 12 cross-sections of the reinforced concrete inner structure of the GTST to provide on-line monitoring via a wireless data transmission system. In this paper, the differential temperature profiles in the reinforced concrete inner structure of the GTST, which are mainly caused by solar radiation, are recognized from the monitoring data with the purpose of understanding the temperature-induced structural internal forces and deformations. After a careful examination of the pre-classified temperature measurement data obtained under sunny days and non-sunny days, common characteristic of the daily temperature variation is observed from the data acquired in sunny days. Making use of 60-day temperature measurement data obtained in sunny days, statistical patterns of the daily rising temperature and daily descending temperature are synthesized, and temperature distribution models of the reinforced concrete inner structure of the GTST are formulated using linear regression analysis. The developed monitoring-based temperature distribution models will serve as a reliable input for numerical prediction of the temperature-induced deformations and provide a robust basis to facilitate the design and construction of similar structures in consideration of thermal effects. | ||
| Key Words | ||
| structural health monitoring; supertall structure; reinforced concrete; temperature effect; temperature distribution model; least-squares regression analysis. | ||
| Address | ||
| Y.Q. Ni, P. Zhang, X.W. Ye, K.C. Lin and W.Y. Liao: Department of Civil and Structural Engineering The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong | ||