Building survey is an essential data-collection procedure to feed large-scale seismic vulnerability assessment. The available strategies usually consider survey forms to gather information about the urban buildings. The application of the available survey forms poses important challenges for the case of the heterogeneous urban centers including different structural typologies. This work proposes four specific survey forms for traditional structural typologies constructed with masonry, reinforced concrete, mixed steel-reinforced concrete and timber. The proposed forms request essential information on the parameters necessary for seismic vulnerability assessment, by evaluating the lateral-load resistant system, regularity, condition of conservation, and existing damages. The survey forms were applied to the study of 111 buildings of the historical center of Valparaíso, Chile. The proposed methodology was complemented with the use of Geographic Information Systems to obtain a complete database with the structural characterization of the most representative typologies for future works of large-scale seismic vulnerability assessment.

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Existing heritage buildings are often composed of diverse materials and structural typologies, representing a challenge for structural analysis tasks. This work investigates the combined use of simple Lumped Plasticity Models (LPM) and macro-mechanical Finite Element (FE) approaches to evaluate the seismic response of structures composed of timber frames and masonry walls. The calibration of these engineering models is derived from a wide set of nonlinear static analyses reproducing benchmark experiments on timber and masonry specimens. The LPM and FE models are used eventually to appraise the seismic response of two existing timber-masonry hybrid buildings, located in the historical centre of Valparaíso, Chile. The nonlinear analyses performed with these models predict the accelerationdisplacement capacity of the buildings under seismic-like horizontal loading, revealing their potential local and global failure mechanisms.