CO2 Emission and Cost Optimization of Concrete-Filled Steel Tubular (CFST) Columns Using Metaheuristic Algorithms

Çakıroğlu, Celal; Islam, Kamrul; Bekdaş, Gebrai̇l; Billah, A. H. M. Muntasir

doi:10.3390/su13148092

Cited by 19 publications

(18 citation statements)

References 37 publications

(43 reference statements)

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“…In [20], the SSO technique is applied to the problem of wind speed characterization. Cakiroglu et al [21] applied the SSO technique to the cost and CO 2 emission optimization of CFST columns with circular cross sections. SSO was developed by Cuevas et al [22].…”

Section: Methodsmentioning

confidence: 99%

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CO2 Emission Optimization of Concrete-Filled Steel Tubular Rectangular Stub Columns Using Metaheuristic Algorithms

et al. 2021

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Concrete-filled steel tubular (CFST) columns have been assiduously investigated experimentally and numerically due to the superior structural performance they exhibit. To obtain the best possible performance from CFST columns while reducing the environmental impact, the use of optimization algorithms is indispensable. Metaheuristic optimization techniques provide the designers of CFST members with a very efficient set of tools to obtain design combinations that perform well under external loading and have a low carbon footprint at the same time. That is why metaheuristic algorithms are more applicable in civil engineering due to their high efficiency. A large number of formulas for the prediction of the axial ultimate load-carrying capacity Nu of CFST columns are available in design codes. However, a limitation of the usage of these design formulas is that most of these formulas are only applicable for narrow ranges of design variables. In this study a newly developed set of equations with a wide range of applicability that calculates Nu in case of rectangular cross-sections is applied. In order to optimize the cross-sectional dimensions, two different metaheuristic algorithms are used, and their performances are compared. The reduction in CO2 emission is demonstrated as a function of cross-sectional dimensions while considering certain structural performance requirements. The outcome of the more recently developed social spider algorithm is compared to the outcome of the well-established harmony search technique. The objective of optimization was to minimize CO2 emissions associated with the fabrication of CFST stub columns. The effects of varying the wall thickness as well as the concrete compressive strength on CO2 emissions are visualized by using two different optimization techniques.

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Section: Methodsmentioning

confidence: 99%

“…A flowchart of the social spider algorithm is provided in Figure 4. Further details about this algorithm can be found in [21].…”

Section: Social Spider Optimizationmentioning

confidence: 99%

CO2 Emission Optimization of Concrete-Filled Steel Tubular Rectangular Stub Columns Using Metaheuristic Algorithms

et al. 2021

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“…By employing the expression in Equation (11), it is possible to check the capacity of the composite column for the load F and the moment F(e + d). This requires iteration where a value of F is guessed.…”

Section: Elastic Solution Of a Straight Uncracked Composite Column Wi...mentioning

confidence: 99%

“…The deflection at the mid-point of the column including the eccentricity is then found by using Equation (11), (e + δ) = 44.8 mm. The distance from the centroid to the outermost fibre is for the strong concrete core y cc = y ct = 80 mm/2 = 40 mm.…”

Section: Example Of Straight Sl Column Calculationmentioning

confidence: 99%

“…Here, I-section steel profiles were investigated as purely encased and as a semi-mold for a hybrid column type, where the concrete and additional reinforcement were poured in the space between the flanges of the I-profile. Cakiroglu et al [11,12] optimized the carbon footprint and price of concrete-filled steel profiles using metaheuristic algorithms.…”

Section: Introductionmentioning

confidence: 99%

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Reduction of the Carbon Footprint of Precast Columns by Combining Normal and Light Aggregate Concrete

Halding

2022

Buildings

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To reduce the global emission of CO2 from the building industry, researchers, architects and manufacturers must consider new ways of constructing precast concrete buildings. Modern concrete columns and walls are not optimized to the applied load, and there is potential to save material. By creating a stronger column core and a lightweight concrete cover, it is possible to reduce the carbon footprint. A method is proposed to calculate such eccentrically loaded columns of two or more materials. The analytical method is developed for straight columns and columns with Entasis. Production of curved Entasis columns is possible by using textile molds due to the low mold pressure from the light aggregate concrete. Two column types are load tested to confirm the method. The CO2 emission is calculated for some column examples, and it shows that an optimized column geometry often leads to a reduced carbon footprint compared to regular columns. The concept is especially efficient for slender columns. Furthermore, the external light aggregate concrete layer ensures protection against fire if high-strength concrete is applied as the column core.

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Cost optimization of tall buildings having tube composite columns using social spider algorithm

Paksoy,

Aydogdu,

Akin

2024

Structural Design Tall Build

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SummaryThis study aims to develop an algorithmic approach to obtain optimum designs for tall buildings having composite columns and investigate the material cost advantages of these buildings over steel structures. The social spider optimization (SSO) algorithm, a new meta‐heuristic optimization method that has shown promising results in optimizing frame structures, was used to obtain the optimum designs. Concrete‐filled steel tube sections were chosen for composite columns. To define the optimization problem, we considered the material cost of the structure as the objective function, the size of columns (strength, deflection, drift, and geometric limitations) as the constraint functions, and ready steel sections as the design variables. We tested eight different frame structures of varying heights and irregularities to analyze how cost varied according to these parameters. Our results demonstrate that composite columns are a more cost‐effective option than steel structures, even for buildings that are not considered high rises. We found that the difference in cost between the two types of structures increases with building height and irregularity. Additionally, our optimization algorithm was unable to find feasible designs for steel structures taller than 180 m using ready steel profiles.

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CO2 Emission and Cost Optimization of Concrete-Filled Steel Tubular (CFST) Columns Using Metaheuristic Algorithms

Cited by 19 publications

References 37 publications

CO2 Emission Optimization of Concrete-Filled Steel Tubular Rectangular Stub Columns Using Metaheuristic Algorithms

CO2 Emission Optimization of Concrete-Filled Steel Tubular Rectangular Stub Columns Using Metaheuristic Algorithms

Reduction of the Carbon Footprint of Precast Columns by Combining Normal and Light Aggregate Concrete

Cost optimization of tall buildings having tube composite columns using social spider algorithm

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