Finite Element Modeling and Statistical Analysis of Fire-Damaged Reinforced Concrete Columns Repaired Using Smart Materials and FRP Confinement

Hussain, Iqrar; Yaqub, M.; Mortazavi, Mina; Ehsan, Muhammad Adeel; Uzair, Muhammad

doi:10.1007/978-3-030-88166-5_8

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…In another study carried out by Hussain et al [11], regression models and finite element analyses were used to predict the deformation-load behaviors of retrofitted columns that were damaged due to exposure to temperatures of 300°C, 500°C, and 900°C using innovative materials confined by carbon fibers. Their study found that regression equations and numerical models were better substitutes for experimental methods.…”

Section: Introductionmentioning

confidence: 99%

The Effects of Heat on the Cyclic Behavior of Retrofitted Concrete Columns (by Steel Plates and CFRP)

Amiri

Naghibdehi

et al. 2023

Period. Polytech. Civil Eng.

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In this research, in addition to ensuring the accuracy of the numerical simulations, a 3D reinforced concrete column is numerically modeled in three conditions, including a non-retrofitted state, as well as two states retrofitted with steel plates and CFRP. The coupled temperature-displacement analysis of these columns is conducted under cyclic lateral loading in various heat levels, and the effects of both the retrofits and heat on the cyclic lateral behavior of the columns are studied and compared. According to the results of the study, with temperature rise, both lateral forces and energies increase in the non-retrofitted column, the column retrofitted with steel plates, and the column retrofitted with FRP. This is even more significant at 500°C, particularly in retrofitted columns with steel plates. Besides, retrofitting the columns with steel plates (compared to FRP plates) causes a more substantial increase in the heat sensitivity of the column during cyclic lateral loading.

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Section: Introductionmentioning

confidence: 99%

The Effects of Heat on the Cyclic Behavior of Retrofitted Concrete Columns (by Steel Plates and CFRP)

Amiri

Naghibdehi

et al. 2023

Period. Polytech. Civil Eng.

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Seismic performance of a cold-formed and hot-rolled steel wall system equipped with curved steel dampers

2023

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Analytical Assessment of the Structural Behavior of a Specific Composite Floor System at Elevated Temperatures Using a Newly Developed Hybrid Intelligence Method

et al. 2023

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The aim of this paper is to study the performance of a composite floor system at different heat stages using artificial intelligence to derive a sustainable design and to select the most critical factors for a sustainable floor system at elevated temperatures. In a composite floor system, load bearing is due to composite action between steel and concrete materials which is achieved by using shear connectors. Although shear connectors play an important role in the performance of a composite floor system by transferring shear force from the concrete to the steel profile, if the composite floor system is exposed to high temperature conditions excessive deformations may reduce the shear-bearing capacity of the composite floor system. Therefore, in this paper, the slip response of angle shear connectors is evaluated by using artificial intelligence techniques to determine the performance of a composite floor system during high temperatures. Accordingly, authenticated experimental data on monotonic loading of a composite steel-concrete floor system in different heat stages were employed for analytical assessment. Moreover, an artificial neural network was developed with a fuzzy system (ANFIS) optimized by using a genetic algorithm (GA) and particle swarm optimization (PSO), namely the ANFIS-PSO-GA (ANPG) method. In addition, the results of the ANPG method were compared with those of an extreme learning machine (ELM) method and a radial basis function network (RBFN) method. The mechanical and geometrical properties of the shear connectors and the temperatures were included in the dataset. Based on the results, although the behavior of the composite floor system was accurately predicted by the three methods, the RBFN and ANPG methods represented the most accurate values for split-tensile load and slip prediction, respectively. Based on the numerical results, since the slip response had a rational relationship with the load and geometrical parameters, it was dramatically predictable. In addition, slip response and temperature were determined as the most critical factors affecting the shear-bearing capacity of the composite floor system at elevated temperatures.

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Finite Element Modeling and Statistical Analysis of Fire-Damaged Reinforced Concrete Columns Repaired Using Smart Materials and FRP Confinement

Cited by 3 publications

References 18 publications

The Effects of Heat on the Cyclic Behavior of Retrofitted Concrete Columns (by Steel Plates and CFRP)

The Effects of Heat on the Cyclic Behavior of Retrofitted Concrete Columns (by Steel Plates and CFRP)

Seismic performance of a cold-formed and hot-rolled steel wall system equipped with curved steel dampers

Analytical Assessment of the Structural Behavior of a Specific Composite Floor System at Elevated Temperatures Using a Newly Developed Hybrid Intelligence Method

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