The seismic performance of timber‐framed structures filled with stones and earth mortar has been analyzed by introducing the structural subscales (cell, wall, house) at which monotonic and cyclic loadings were considered. This article aims to present the dynamic behavior of a house as determined through shaking table tests. Based on this experimental multiscale analysis, this paper confirms that timbered masonry structures offer effective seismic resistance; moreover, such a comprehensive analysis helps enhance understanding of the seismic‐resistant behavior of timber‐framed structures with infill. This paper also aids ongoing development of a numerical tool intended to predict the seismic‐resistant behavior of this type of structure.

A new macro model for the finite element modeling of unreinforced masonry (URM) exhibiting in-plane nonlinear cyclic behavior is proposed. The ultimate objective is to predict the seismic response of multi-story URM buildings. The macro model enables the modeling of URM shear walls with a limited number of degrees of freedom (DOF) at low computation times. The macro model consists of a deformable elastic frame supported by diagonal struts with nonlinear behavior aiming to capture all dissipative phenomena occurring during seismic events. The nonlinear constitutive behavior of diagonal struts is inspired by models documented in the literature, ensuring a robust foundation for the proposed approach. This paper first provides a comprehensive review of the principal models currently available for URM analysis. It then articulates the rationale behind the development of this new numerical model, aiming to address the limitations encountered in existing methodologies and to offer a simple and fast tool for predicting the seismic behavior of URM buildings. Afterward, the new model is presented and tested with the simulations of two experimental campaigns performed on different URM walls. The comparison between experimental and numerical results shows that with a limited number of DOF and parameters, it is possible to obtain a prediction of the experimental results with satisfying accuracy.