An Experimental Study on Cyclic Performance of the Geometrically Prismatic Concrete-Filled Double Skin Steel Tubular (CFDST) Columns

Pachideh, Ghasem; Gholhaki, Majid; Moshtagh, Amin

doi:10.1007/s40996-020-00410-z

Cited by 12 publications

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Pachideh et al in 2020 [24] studied the impact of temperature rise on the performance of Concrete-Filled Double Skin Tubular Steel Columns with prismatic geometry. they also investigated the seismic performance of the concrete-filled double skin steel tubular columns whose geometry is prismatic in 2021 [25]. 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.…”

Section: Introductionmentioning

confidence: 99%

Optimization of through-bolt steel beam connection to CFST column reinforced with rib plates using RSM method and MCEO algorithm

Soumeh

Sani

2021

NMCE

View full text Add to dashboard Cite

Today, one of the most important engineering requirements is to ensure optimal design with best possible seismic performance of structures. To this end, the present paper aims to apply the optimization process for the design of the through-bolt steel beam connection to the concretefilled steel tube (CFST) column reinforced with rib plates. This study employs a multi-level cross-entropy optimizer (MCEO) algorithm along with response surface method (RSM) and finite element method (FEM) to establish the objective functions and constraints. The variables considered are the rib plate geometry and the steel and concrete strength parameters. In order to overcome problems, optimization is performed to increase the load-bearing capacity of the connection and to satisfy the constraints. Adopting this smart solution eliminates the need to connect finite elements for loop optimization and provides an explicit function for system performance. The results show that a very accurate analytical model can be developed to describe system performance using this process. This solution can optimize the performance of several systems that require a large amount of analysis and solve a wide range of structural optimization problems.

show abstract

Section: Introductionmentioning

confidence: 99%