Abstract
For a supertall structure, the temperature effect is an important factor that must be considered during the design, construction, and performance assessment. In this article, temperature-induced displacement of the 600-m-high Canton Tower is studied by the data-driven approach based on the sufficient real measurement data obtained from the structural health monitoring system. A multiple linear regression model is employed to establish the quantitative relation between the displacement and temperature data at different facades and sections of the structure in different seasons. Results show that an ordinary linear regression model is able to fit the monitoring data well. However, the model fails to interpret the physical meaning of the model coefficients. A regularized linear regression model is then employed and validated to describe the temperature-induced displacement of the structure. The physical relationship between the temperature and displacement is provided. Finally, the model is also used to separate the temperature- and wind-induced displacement of the supertall structure.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
