Efficiency of reinforced concrete (RC) design can be measured by finding the design with minimum cost within all possible ones that satisfied security conditions. This task is difficult because RC members consisting of two materials; concrete and steel bars with different material properties i.e., compressive and tensile strength, elasticity modulus, and unit material costs. Thus, an additional...

The seismic performance of a building must be evaluated after it has been affected by an earthquake load. In the evaluation process, codes and standards require that drift structure is determined to assess structural performance. This study provides innovative method helps engineers in measuring deflection reinforced concrete (RC) beams. An imagery deep learning model, called residual networks ...

Geometric and mechanical properties all influence the resistance of RC structures and may, in certain combination of property values, increase the risk of a brittle failure of the whole system. This paper presents a statistical and probabilistic investigation on the resistance of RC beams designed according to Eurocodes 2 and 8, and subjected to multiple failure modes, under both the natural va...

Reinforced concrete beam; Shear strength; Artificial neural network; Adaptive neuro-fuzzy inference system; Iranian concrete institute code; American concrete institute code. Abstract In this paper, the Artificial Neural Network (ANN) and the Adaptive Neuro-Fuzzy Inference System (ANFIS) are used to predict the shear strength of Reinforced Concrete (RC) beams, and the models are compared with A...

Nonlinear behaviour of RC beams is complex due to involvement of various parameters. Many attempts have been made by the past researchers to predict the behaviour using ANSYS. The accuracy and convergence of the solution depends on factors such as mesh density, constitutive properties of concrete, convergence criteria and tolerance values etc., Past researchers have used various values of the a...

Shape memory alloys (SMAs) are unique smart materials that have many advantages, such as ability to resist large strains without leaving residual strains and ability to recover original form. However, the high costs of SMAs have limited their usage. This paper evaluates the behavior of concrete structures equipped with SMAs in an optimal manner as they are being used along the plastic hinge of ...

The project is a continuation from fiscal year 2004-2005. Previous work aimed at developing new analytical tools for analysis of RC beams strengthened with FRP laminates. The models were used to analyze several test specimens of RC beams and to investigate the corresponding failure mode, and whether it is due to CFRP fracture, debonding, or concrete crushing. Current work focused on using the e...

Acoustic Emission (AE) is one of the tools that can be used to detect the crack and to classify the type of the crack of reinforced concrete (RC) structure. Dislocation or movement of the material inside the RC may release the transient elastic wave. In this situation, AE plays important role whereby it can be used to capture the transient elastic wave and convert it into AE parameters such as ...