Meet Inspiring Speakers and Experts at our 3000+ Global Conference Series Events with over 1000+ Conferences, 1000+ Symposiums
and 1000+ Workshops on Medical, Pharma, Engineering, Science, Technology and Business.

Explore and learn more about Conference Series : World's leading Event Organizer

Back

W. D. Liam Finn

W. D. Liam Finn

University of British Columbia, Canada

Title: Finite element model updating of a super tall building with ambient vibration data

Biography

Biography: W. D. Liam Finn

Abstract

The Shanghai Tower is the tallest structure in China and one of the super tall buildings in the world. The 128 storey building stands approximately 632 meters high.  On May 8th, 2015, an ambient vibration test was performed on this building in its final stages of construction. Nine modes of vibration and associated damping ratios were identified below 1Hz using the Frequency Domain Decomposition (FDD)and Enhanced Frequency Domain Decomposition (EFDD) techniques. To get a quick and direct insight into the overall dynamic behavior of this complex structure, a simple and efficient lumped-mass stick model based on macro beam theory was developed in SAP2000 as the baseline model. This model was first calibrated with a sophisticated finite element (FE) model developed using ABAQUS. By performing the sensitivity analysis, several sets of parameters were selected and then modified with an automated updating procedure.  After model updating, the average difference between the model and measured first nine frequencies was reduced from 28% to 4%, and the average modal assurance criterion (MAC) value was improved from 73% to 87%.  The process of model updating for super tall buildings described in this study can lead an efficient and accurate prediction of their seismic response, and the outputs are reliable for wide range of applications in the area of seismic performance, long term heath monitoring and risk assessment.