This paper introduces a novel methodology for identifying the post-earthquake damage
states of unreinforced masonry walls using visual damage features. Current guidelines …

This study proposes predictive equations for estimating the peak-experienced drift ratio of
unreinforced masonry walls based on the visual characteristic of the damages. In this …

This paper proposes a new data‐driven method to generate three‐dimensional fragility
surfaces for post‐earthquake damage assessment of reinforced concrete (RC) shear walls …

This paper introduces an artificial intelligent technique for predicting the failure/cracking
loads of laterally loaded masonry wall panels based on their corresponding failure/cracking …

After an earthquake, the residual stiffness and strength of structural elements are typically
estimated based on a qualitative visual inspection of cracks that is prone to error. In this …

Masonry is a brittle anisotropic material that exhibits distinct directional properties because
the mortar joints act as planes of weakness. To define failure under biaxial stress, a 3D …

This study investigates the effect of the variation of the properties of unreinforced brick
masonry walls, such as aspect ratio, prism strength, and axial load ratio, on determining the …

This study aims to develop an innovative image-based 3D modeling-to-simulation
framework that can efficiently assess the hazard vulnerability of single-wythe masonry …

Under seismic actions, stone masonry buildings are prone to damage. To assess the
severity of damaged masonry buildings and their failure modes, engineers connect these …

In the last decades, a plethora of advanced computational models and techniques have
been proposed on the modeling, assessment and design of masonry structures. The …