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Machine-learning model for the determination of macro-scale masonry properties based on a virtual laboratory at micro-scale

Author
Kalkbrenner, P.; Pelà, L.; Rossi, R.
Type of activity
Presentation of work at congresses
Name of edition
12th International Conference on Structural Analysis of Historical Constructions
Date of publication
2021
Presentation's date
2021-09-29
Book of congress proceedings
SAHC 2021: 12th International Conference on Structural Analysis of Historical Constructions
First page
1712
Last page
1723
Publisher
International Centre for Numerical Methods in Engineering (CIMNE)
Project funding
Multilevel assessment of seismic vulnerability and risk mitigation of masonry buildings for resilient historical urban centres
Repository
http://hdl.handle.net/2117/341831 Open in new window
URL
https://congress.cimne.com/SAHC2020/frontal/doc/Ebook_SAHC2020.pdf Open in new window
Abstract
Cutting-edge methods in the computational analysis of structures have been developed over the last decades. Such modern tools are helpful to assess the safety of existing buildings. Multi-scale techniques have been proposed to combine the accuracy of micro-modelling and the computational efficiency of macro-modelling. Machine-learning tools have been utilized successfully to train specific models by feeding big source data from different fields, e.g. autonomous driving, face recognition, etc. Th...
Citation
Kalkbrenner, P.; Pelà, L.; Rossi, R. Machine-learning model for the determination of macro-scale masonry properties based on a virtual laboratory at micro-scale. A: International Conference on Structural Analysis of Historical Constructions. "SAHC 2020: 12th International Conference on Structural Analysis of Historical Constructions". Barcelona: International Centre for Numerical Methods in Engineering (CIMNE), 2021, p. 1-12.
Keywords
Historical structure, Homogenization technique, Machine-learning, Macro-scale, Masonry, Micro-scale, Representative volume element, Virtual laboratory
Group of research
(MC)2 - UPC Computational continuum mechanics
ATEM - Structural and Materials Technology
RMEE - Strength of Materials and Structural Engineering Research Group

Participants