Synchronized Load Quantification from Multiple Data Records for Analysing High-rise Buildings
Issued Date
2018
Resource Type
Language
eng
Rights
Mahidol University
Rights Holder(s)
The 7th Asia Conference on Earthquake Engineering
Asian Institute of Technology
Asian Institute of Technology
Suggested Citation
Behrendt, Marco, Wonsiri Punurai, Beer, Michael (2018). Synchronized Load Quantification from Multiple Data Records for Analysing High-rise Buildings. Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/47955
Title
Synchronized Load Quantification from Multiple Data Records for Analysing High-rise Buildings
Author(s)
Abstract
To analyse the reliability and durability of large
complex structures such as high-rise buildings, most
realistically, it is advisable to utilize site-specific load
characteristics. Such load characteristics can be made
available as data records, e.g. representing measured wind or
earthquake loads. Due to various circumstances such as
measurement errors, equipment failures, or sensor limitations,
the data records underlie uncertainties. Since these
uncertainties affect the results of the simulation of complex
structures, they must be mitigated as much as possible. In this
work, the Procrustes analysis, finding similarity
transformations between two sets of points in n-dimensional
space is used and is extended to uncertainties so that data
records can be analysed regarding the uncertainty. To find the
best matching of two sets of points the Kabsch algorithm is
used. In this manner, a basis is created to simulate and assess
the reliability of high-rise buildings under load due to wind
and earthquakes.
Description
“ Seismic Resilience for Safer Cities and Infrastructures”: The 7th Asia Conference on Earthquake Engineering, 22-25 November 2018, Bangkok, Thailand
Sponsorship
European
Union's Horizon 2020 research and innovation programme
under the Marie Skłodowska-Curie grant agreement No. 730888. / Deutsche Forschungsgemeinschaft (German Research Foundation) grants BE 2570/4-1 and CO 1849/1-1