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

Sun, Hao; Al-Qazweeni, Jamal; Parol, Jafarali; Kamal, Hasan; Chen, Zhao; Büyüköztürk, Oral

doi:10.1002/stc.2317

Cited by 17 publications

(8 citation statements)

References 38 publications

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“…Sun et al [29] demonstrated a skyscraper building model, namely, the Al Harma Tower in Kuwait, which is approximately 413 m in height with 86 floors, using E-tabs together with a building with two curved shear walls to the combined height of the buildings by applying three methods: system identification, interferometry-based wave propagation analysis, and wave-based damage detection. The building underwent large deformations due to heavy dead load and seismic response.…”

Section: Strategies Of Damage Detection In Buildings Using Shmmentioning

confidence: 99%

Practical Implementation of Structural Health Monitoring in Multi-Story Buildings

et al. 2021

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This study investigated operational and structural health monitoring (SHM) as well as damage evaluations for building structures. The study involved damage detection and the assessment of buildings by placing sensors and by assuming weak areas, and considered situations of assessment and self-monitoring. From this perspective, advanced sensor technology and data acquisition techniques can systematically monitor a building in real time. Furthermore, the structure’s response and behavior were observed and recorded to predict the damage to the building. In this paper, we discuss the real-time monitoring and response of buildings, which includes both static and dynamic analyses along with numerical simulation studies such as finite element analysis (FEA), and recommendations for the future research and development of SHM are made.

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Section: Strategies Of Damage Detection In Buildings Using Shmmentioning

confidence: 99%

Practical Implementation of Structural Health Monitoring in Multi-Story Buildings

et al. 2021

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“…Therefore, the FE model updating with a certain algorithm is necessary to make the FE model to best represent the real structures by using the field or laboratory measurement data from the prototype or the physical scale structure. Note that SHM systems are installed on many long‐span cable‐stayed bridges and other large and complex structures to monitor their behavior, and they can acquire detailed information on the loading conditions, global and local structural responses, and damage status of these structures. Thereby, they can provide valuable measurement data for updating the sensitive but uncertain parameters in the FE model to achieve high‐fidelity representation.…”

Section: Introductionmentioning

confidence: 99%

Cluster computing‐aided model updating for a high‐fidelity finite element model of a long‐span cable‐stayed bridge

Lin

et al. 2020

Earthq Engng Struct Dyn

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Accurate and high-fidelity finite element (FE) models are in great demand in the design, performance assessment, and life-cycle maintenance of long-span cable-stayed bridges. The structural system of a long-span cable-stayed bridge is often huge in size and complex with many components connected and various materials constituted. Therefore, the FE model of a long-span cable-stayed bridge involves a large number of elements and nodes with many uncertainties. The model updating of the FE model to best represent a real bridge is necessary but very challenging. One of the challenging issues is that the numerical computation needed for searching the global optimum of a large set of structural parameters is so extensive that the existing FE (not surrogate) model-based updating methods cannot fulfill this task. In this study, a cluster computing-aided FE model updating framework is proposed for the highperformance FE model updating of large and complex structures. In the framework, several computer software packages, including MSC.Marc, Python, and MATLAB, are interconnected for making use of their respective functions of strength. The shake table test of a scaled physical structure of the Sutong cable-stayed bridge in China is used to validate the accuracy and efficiency of the proposed framework. The simulated bridge responses based on the updated FE model are in good agreement with the measured ones from the shake table test. The successful application of the proposed framework provides a reference for the model updating of other types of large and complex structures. K E Y W O R D S cluster computing, finite element model updating, large and complex structures, long-span cable-stayed bridge, shake table test

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“…However, the FE model constructed based on design drawings can hardly reflect the actual state of a longspan bridge after experiencing a moderate or strong earthquake. It is worth noting that the recently developed structural health monitoring (SHM) system, [3][4][5][6][7] which has been installed in many engineering structures including long-span bridges, can provide the real-time measurement data of structural responses. How to use the real-time measured nonlinear structural responses to update the FE model and make it capable of best representing the real damaged structures becomes necessary.…”

Section: Introductionmentioning

confidence: 99%

Time history analysis-based nonlinear finite element model updating for a long-span cable-stayed bridge

Lin

et al. 2020

Structural Health Monitoring

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Accurate finite element models play significant roles in the design, health monitoring and life-cycle maintenance of long-span bridges. However, due to uncertainties involved in finite element modelling, updating of the finite element model to best represent the real bridge is inevitable. This is particularly true after a long-span bridge experiences a moderate or severe earthquake and suffers some damage. This study thus proposes a time history analysis-based nonlinear finite element model updating method for long-span cable-stayed bridges. Special efforts are made to (1) establish the response time history-based objective functions and associated acceptance criteria, (2) conduct comprehensive sensitivity analyses to select appropriate nonlinear updating parameters and (3) develop a highly efficient cluster computing-aided optimization algorithm. A scaled structure of the Sutong cable-stayed bridge in China is adopted as a case study. Three nonlinear test cases performed in the shake table tests of the scaled bridge are used to validate the feasibility and accuracy of the proposed method. A good agreement is observed between the simulated response time histories and the measured response time histories for the scaled bridge under both moderate and strong ground motions. The proposed method could provide an accurate nonlinear finite element model for better performance assessment, damage detection and life-cycle maintenance of long-span cable-stayed bridges.

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

Cited by 17 publications

References 38 publications

Practical Implementation of Structural Health Monitoring in Multi-Story Buildings

Practical Implementation of Structural Health Monitoring in Multi-Story Buildings

Cluster computing‐aided model updating for a high‐fidelity finite element model of a long‐span cable‐stayed bridge

Time history analysis-based nonlinear finite element model updating for a long-span cable-stayed bridge

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