TY  - JOUR
AU  - Zhao, Anna
AU  - Nkosi, Mateusz
AU  - Karim, Anna
TI  - Modelling Masonry Infill Walls with Digital Twin Modeling
JO  - Open Access Journal of Engineering Applications
PY  - 2023
VL  - 47
IS  - 1
SP  - 1
EP  - 26
AB  - Bangladesh and neighbouring countries remain particularly exposed to failures in data centers, where measured data on masonry infill walls are scarce. The procedure combines controlled experiments with digital twin modeling to link cause and effect. The approach cut computational time by 61% while maintaining comparable accuracy. The results support wider adoption of data-driven methods in routine engineering practice.
KW  - masonry infill walls
KW  - digital twin modeling
KW  - state of charge estimation
KW  - groundwater
KW  - climate change adaptation
KW  - large language models
SN  - 3105-7004
DO  - 10.55555/oajea.2023.4701.001
UR  - https://journal.bsaps.com/article/9968
ER  -