#7516. A novel data-driven force–displacement macro-model for nonlinear analysis of infilled frames: development, validation and reliability comparison

October 2026publication date
Proposal available till 19-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Building and Construction;
Civil and Structural Engineering;
Geotechnical Engineering and Engineering Geology;
Geophysics;
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Abstract:
Equivalent strut macro-models are largely employed in research and practice, to reproduce the effect of infill walls in frame structures. These models are simple and at the same time computationally effective, but because of their phenomenological nature, have the big commitment to summarize a complex mechanical interaction with a relatively simple analytical relationship. Based on the limitations of mechanics-based models, this paper proposes a new quadri-linear empirical force–displacement relationship to be used for the equivalent struts.
Keywords:
Data-driven; Empirical; FEM; Infilled frames; OpenSees; Reinforced concrete

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