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Abstract

For many tall building forms, habitability requirements associated with excessive acceleration response become a governing design criterion as building heights increase. The application of modular construction methods to high-rise construction is a relatively new concept with limited previous research being conducted on the dynamic properties of tall modular buildings. Further to this, the real contribution of individual modular elements to overall lateral stiffness is largely unknown leading to significant uncertainty in acceleration response predictions. As modular construction continues to be employed in structures of ever-increasing height, the susceptibility of this form of construction to wind induced accelerations requires further investigation. This research considers the comparison and validation of computational models of a tall volumetric corner post modular structure with an RC core. Both Finite Element Models (FEMs) and mathematically-equivalent mechanical models adapting an analytical stepped beam approach are developed and the inherent properties such as the natural frequencies and mode shapes are calculated. The inherent properties predicted by the models are compared to those obtained from the actual measured response as captured through a full-scale monitoring campaign.

A full-scale monitoring campaign employing two triaxial accelerometers, a data acquisition system and a data storage system recorded the white noise ambient acceleration response of two tall, slender modular structures with overall heights of 135m and 150m. Wind speed and direction were also recorded throughout the monitoring campaigns. Structural identification techniques were used to process the measured acceleration responses and obtain estimates of the actual natural frequencies and damping ratios of the partially- and fully complete structures. The acceleration response of the structure was captured at varying stages throughout the construction programme as more storeys of modules were added to the building and the contribution of the modules to the modal properties evolved.

The comparison between the measured inherent properties at the different stages of construction and the model results at the equivalent stage provides vital insight into the overall stiffness contribution of modules in high-rise modular structures. This can lead to more efficient modelling and design procedures for a novel form of building. Furthermore, comparison of the modelled properties and the results from the full-scale monitoring campaign helps to provide a better understanding of model accuracy and identifies opportunities for further refinement of the modelling of tall modular buildings to reduce model size, run time and computational expense, without loss of accuracy in wind-induced response prediction. The validation of the model and identification of stiffness contributions of the modules supports structural optimisation analyses and the numerical investigations required to include vibration response mitigation measures in future designs

Details

1009240
Title
Validation of Acceleration Response Modelling for Modular High Rise Structures through Full Scale Monitoring
Author
Broderick, Brian 1 ; Moore, Hollie 1 ; Fitzgerald, Breiffni 1 ; Hickey, John 1 

 Department of Civil, Structural and Environmental Engineering, Trinity College Dublin, Dublin 2 , Ireland 
Publication title
Volume
2647
Issue
24
First page
242007
Publication year
2024
Publication date
Jun 2024
Publisher
IOP Publishing
Place of publication
Bristol
Country of publication
United Kingdom
Publication subject
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
3081570768
Document URL
https://www.proquest.com/scholarly-journals/validation-acceleration-response-modelling/docview/3081570768/se-2?accountid=208611
Copyright
Published under licence by IOP Publishing Ltd. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-07-17
Database
ProQuest One Academic