Modelling Masonry Infill Walls with Digital Twin Modeling
Anna Zhao
Corresponding
Indian Institute of Science
Mateusz Nkosi
Rajshahi University of Engineering & Technology
Anna Karim
Indian Institute of Technology Bombay
Abstract
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.
Keywords:
masonry infill wallsdigital twin modelingstate of charge estimationgroundwaterclimate change adaptationlarge language models
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