In seismic risk mitigation policies, fragility functions of existing buildings play a fundamental role. In this paper, a procedure to develop analytical fragility curves for Moment Resisting Frame Reinforced Concrete buildings is presented. The design of the selected building typologies was performed according to the codes at the time of construction using force-based methods and the state of t...

After an earthquake, Terrestrial Laser Scanning (TLS) can capture point clouds of the damaged state of building facades rapidly, remotely and accurately. A long-term research effort aims to develop applications that can reconstruct ‘as-damaged’ BIM models of reinforced concrete (RC) framed buildings based on ‘as-built’ BIMs and scans of ‘asdamaged’ states. This paper focuses on a crucial step: ...

To investigate seismic performance of beam-column knee joints, four full-scale reinforced concrete beam-column knee joints, which were fabricated to simulate those in as-built RC frame buildings designed to ACI 318-14 and ACI-ASCE 352R-02, were tested under reversed cyclic loading. In the experimental programme, particular emphasis was given to the effect of horizontal reinforcement (in format ...

A large share of reinforced concrete (RC) framed buildings is provided with wide beams being a type of beam allowing greater freedom in the architectural arrangement of interiors, beyond further advantage due to fewer formworks needed during the construction. Nevertheless, little attention has been devoted to the seismic vulnerability of this kind of framed RC buildings as well as to the study ...

An integrated experiment and analysis research program is proposed to address the complex behavior of reinforced concrete buildings subjected to multi-directional earthquake loading and the subsequent interactions resulting from the nonlinear response of individual components that compound further the multi-directional affect of the ground motion. Results will impact a broad community ranging f...

1 Paper presented at the Annual PAASE Meeting and Symposium (APAMS 2007), March 15-17, 2007 Book of Abstracts ( ISSN 1908-5907), Proceedings in CD (IISN: 1908-5982) Artifical Neural Networks (ANNs) are powerful computing tools which were inspired by the neural architecture of the human brain. ANNs adapt solutions and are capable of learning the interrelationships among multiple variables by sim...