IJSEA Volume 12 Issue 9

Analyzing the Explosive Behavior of a Buckling Restrained Brace Frame Made of Shape Memory Alloy by Using Finite Element Method

Arman Sadeghipour, Reza Khorramabadi
10.7753/IJSEA1209.1046
keywords : Buckling Restrained Brace Frame (BRBF), Shape Memory Alloy, Explosive loading, FEA, Abaqus

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In this study, we investigate the behavior of a buckling restrained brace frame made of a shape memory alloy when subjected to explosive loads. To accomplish this, we initially loaded a conventional braced frame with a span of 6 meters and a height of 3 meters with explosive forces. The simulation and validation processes will be conducted using the ABAQUS software. After validating the results, we examine eight additional models using ABAQUS software. These models are divided into four groups. In each group, the first sample is constructed from plain steel alloy, while the second sample is made from a shape memory alloy with identical specifications to the first sample. In the first group, the explosive load is set at 10 kilograms, in the second group, it is 30 kilograms, in the third group, it is 50 kilograms, and in the final group, the mass of the explosive material is 100 kilograms. The analysis results reveal that as the amount of explosive material increases, displacement and stress in the samples rise. The displacement increases significantly in the last set of samples (with 100 kilograms of explosive material). By incorporating shape memory alloy into the samples, especially with lower quantities of explosive material, it is possible to partially restore the structure to its initial state, thereby reducing the severity of damage inflicted upon it. Even with higher amounts of explosive material, a substantial level of restoration can be achieved, further minimizing structural damage.
@artical{a1292023ijsea12091046,
Title = "Analyzing the Explosive Behavior of a Buckling Restrained Brace Frame Made of Shape Memory Alloy by Using Finite Element Method",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "12",
Issue ="9",
Pages ="144 - 155",
Year = "2023",
Authors ="Arman Sadeghipour, Reza Khorramabadi"}