Computational modeling of a unique tower in Kuwait for structural health monitoring: Numerical investigations: Computational modeling of a unique tower in Kuwait for SHM
Name
SCHM_2020.pdf
Description
Accepted version
Size
8.61 MB
Format
Adobe PDF
Checksum (MD5)
048f755657779cbe61cf50cf3ce0acfa
Author(s)
Buyukozturk, Oral
Date Issued
March 2019
Journal
Structural Control and Health Monitoring
Publisher
Wiley
Citation
Sun, Hao et al. “Computational modeling of a unique tower in Kuwait for structural health monitoring: Numerical investigations: Computational modeling of a unique tower in Kuwait for SHM.” Structural Control and Health Monitoring, 26, 3 ( 2019): e2317 © 2019 The Author(s)
Version
Author's final manuscript
Abstract
Computational modeling, in addition to data analytics, plays an important role in structural health monitoring (SHM). The high-fidelity computational model based on the design and construction information provide important dynamics information of the structure and, more importantly, can be updated against field measurements for SHM purposes such as damage detection, response prediction, and reliability assessment. In this paper, we present a unique skyscraper (Al-Hamra Tower) located in Kuwait City and its high-fidelity computational model using ETABS for structural health monitoring applications. The tower is made of cast-in-place reinforced concrete with a core of shear walls and two curved shear walls running the height of the building (approximately 413 m with 86 floors in total). Interesting static and dynamic characteristics of the tower are described. System identification, interferometry-based wave propagation analysis, and wave-based damage detection are performed using synthetic data. This work mainly presents the phase of numerical investigations, which serves as a basis for correlating the field monitoring data to the model of the building in future work.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1002/STC.2317
