Computational modeling of a unique tower in Kuwait for structural health monitoring: Numerical investigations: Computational modeling of a unique tower in Kuwait for SHM

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 a...

Full description

Bibliographic Details
Main Author: Buyukozturk, Oral
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Format: Article
Language:English
Published: Wiley 2020
Online Access:https://hdl.handle.net/1721.1/126767
_version_ 1826200036095033344
author Buyukozturk, Oral
author2 Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
author_facet Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Buyukozturk, Oral
author_sort Buyukozturk, Oral
collection MIT
description 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.
first_indexed 2024-09-23T11:29:54Z
format Article
id mit-1721.1/126767
institution Massachusetts Institute of Technology
language English
last_indexed 2024-09-23T11:29:54Z
publishDate 2020
publisher Wiley
record_format dspace
spelling mit-1721.1/1267672022-09-27T19:57:25Z Computational modeling of a unique tower in Kuwait for structural health monitoring: Numerical investigations: Computational modeling of a unique tower in Kuwait for SHM Buyukozturk, Oral Massachusetts Institute of Technology. Department of Civil and Environmental Engineering 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. 2020-08-24T18:51:09Z 2020-08-24T18:51:09Z 2019-03 2020-08-24T16:54:35Z Article http://purl.org/eprint/type/JournalArticle 1545-2263 1545-2255 https://hdl.handle.net/1721.1/126767 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) en 10.1002/STC.2317 Structural Control and Health Monitoring Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Wiley Prof. Buyukozturk via Elizabeth Soergel
spellingShingle Buyukozturk, Oral
Computational modeling of a unique tower in Kuwait for structural health monitoring: Numerical investigations: Computational modeling of a unique tower in Kuwait for SHM
title Computational modeling of a unique tower in Kuwait for structural health monitoring: Numerical investigations: Computational modeling of a unique tower in Kuwait for SHM
title_full Computational modeling of a unique tower in Kuwait for structural health monitoring: Numerical investigations: Computational modeling of a unique tower in Kuwait for SHM
title_fullStr Computational modeling of a unique tower in Kuwait for structural health monitoring: Numerical investigations: Computational modeling of a unique tower in Kuwait for SHM
title_full_unstemmed Computational modeling of a unique tower in Kuwait for structural health monitoring: Numerical investigations: Computational modeling of a unique tower in Kuwait for SHM
title_short Computational modeling of a unique tower in Kuwait for structural health monitoring: Numerical investigations: Computational modeling of a unique tower in Kuwait for SHM
title_sort computational modeling of a unique tower in kuwait for structural health monitoring numerical investigations computational modeling of a unique tower in kuwait for shm
url https://hdl.handle.net/1721.1/126767
work_keys_str_mv AT buyukozturkoral computationalmodelingofauniquetowerinkuwaitforstructuralhealthmonitoringnumericalinvestigationscomputationalmodelingofauniquetowerinkuwaitforshm