Recent advances highlight the potential of low-carbon concrete using recycled aggregates
from precast rejects. This material, called precast recycled aggregate concrete (PRAC) …

The shear strength prediction model for fiber‐reinforced polymer (FRP) bar‐reinforced
concrete beams without stirrups in ACI440. 1R‐2015 does not consider the “size effect” and …

Uncertainties in resistance models play a significant role in the reliability analysis of
structures and code calibration of partial factors for semi-probabilistic design. In spite of this …

This paper proposes a new set of probabilistic joint shear strength models using the
conventional multiple linear regression method, and advanced machine‐learning methods …

This paper addresses the application of a Bayesian parameter estimation method to a
regional seismic risk assessment of curved concrete bridges. For this purpose, numerical …

The study is investigated the capacity of new artificial intelligence (AI) methodologies for
shear strength (V s) computation of reinforced concrete (RC) beams. The development of …

An experimental study is proposed to investigate the shear behavior of corroded reinforced
concrete (RC) beams with stirrups and inclined bars. The proposed study aims to address …

Resistance of civil engineering structures is primarily dependent on material properties,
geometry and uncertainties related to an applied model. While materials and geometry can …

An extensive experimental database of reinforced concrete (RC) beam-column connections
subjected to cyclic lateral loading has been constructed. All cases within the database …

A probabilistic calibration method is proposed for evaluating the accuracy and applicability
of available deterministic models for the shear strength of shear-critical reinforced concrete …