Abstract
Optimization of through-bolt steel beam connection to CFST column reinforced with rib plates using RSM method and MCEO algorithm
Highlights
The safety of the occupants is of great importance in the design of structures, considering the seismic forces that result in financial losses and undesirably affect the performance of the structures [1, 2, 3]
The present study deals with the geometric optimization and strength parameters for the connection of through-bolt steel beams to concretefilled steel tube (CFST) columns reinforced with rib plates
The study by Wu LY et al was considered as a reference and the Abaqus software was used to calibrate and validate the finite element method (FEM) results
Summary
The safety of the occupants is of great importance in the design of structures, considering the seismic forces that result in financial losses and undesirably affect the performance of the structures [1, 2, 3]. The existing studies show that the bolted connection of steel beams to CFST columns has good earthquake-resistant performance [16]. Hanoon et al [23] proposed new numerical models for modeling the flexural capacities For this purpose, numerous existing experimental and numerical results of CFST beams were collected for developing a new numerical model called hybridized artificial neural network (ANN) model with particle swarm optimization (PSO) algorithm. The present study investigates the effect of using rib plates when connecting steel beams to CFST columns with through bolts, considering the geometric variables, namely rib plates and material strength. The main purpose of measuring the variables is to obtain the degree to which the geometric and strength parameters of the rib plate affect the load-bearing capacity and stress of the models This problem was solved using a metaheuristic multi-level cross-entropy optimizer (MCEO) algorithm integrated with response surface method (RSM) and FEM. Various optimization problems in the fields of mechanics, civil engineering, electricity, etc. (in which another parallel solver is needed) can be simplified and solved by using this technique
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