Numerical analysis on torsional behavior of rectangular and square CFDST members

Lu, Guang Hong; Su, Meini; Zhou, Xuhong; Deng, Xiaowei; Bai, Yongtao; Wang, Yuhang

doi:10.1016/j.jcsr.2022.107294

Cited by 8 publications

(5 citation statements)

References 45 publications

(65 reference statements)

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“…In a bid to understand this complex behavior, a few experimental (e.g., [5][6][7]) and numerical studies (e.g., [8,9]) have been conducted by researchers. Experiments on the torque behavior of tapered CFDST columns with large hollow ratios ranging from 0.75 to 0.9 under two loading modes: pure torsion and combined compression-torsion, were conducted by Deng et al [5].…”

Section: Introductionmentioning

confidence: 99%

“…Through parametric analyses, the influence of significant parameters, such as concrete strength, steel tube properties, and aspect ratio, on the torsional capacity of circular CFDST columns, was explored by their research, resulting in the proposal of accurate design formulas for predicting torsional capacity, with demonstrated accuracy in comparison to tests. In a related study, the numerical analysis of torsional behavior was focused on by Lu et al [8], but their attention was shifted to rectangular and square CFDST members. They successfully developed NLFEA models, validating them against experimental data.…”

Section: Introductionmentioning

confidence: 99%

“…While the aforementioned studies have significantly advanced our understanding of CFDST columns' behavior under torsion and provided foundational insights for design and analysis, several limitations persist within the current body of research. Firstly, many of the experimental [5][6][7]) and numerical studies [8,9] focused on specific column configurations or loading conditions, limiting the generalizability of their findings. Furthermore, the complex interactions between the concrete core, inner, and outer steel tubes under torsion are not fully explored, especially for columns with non-standard geometries or material properties.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Prediction of Torque Capacity in Circular Concrete-Filled Double-Skin Tubular Members under Pure Torsion via Machine Learning and Shapley Additive Explanations Interpretation

Simwanda,

Ikotun

2024

Buildings

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The prediction of torque capacity in circular Concrete-Filled Double-Skin Tubular (CFDST) members under pure torsion is considered vital for structural design and analysis. In this study, torque capacity is predicted using machine learning (ML) algorithms, such as Categorical Boosting (CatBoost), Extreme Gradient Boosting (XGBoost), Gradient Boosting Machine (GBM), Random Forest (RF), and Decision Tree (DT), which are employed. The interpretation of the results is conducted using Shapley Additive Explanations (SHAPs). The performance of these ML models is evaluated against two traditional analytical formulas that have been proposed and are available in the literature. Through comprehensive analysis, it is shown that superior predictive capabilities are possessed by the CatBoost and XGBoost models, characterized by high R2 values and minimal mean errors. Additionally, insights into the influence of input features are provided by SHAP interpretation, with an emphasis on key parameters such as concrete compressive strength and steel tube dimensions. The gap between empirical models and ML techniques is bridged by this study, offering engineers a more accurate and efficient tool for CFDST structural design. Significant implications for optimizing CFDST column designs and advancing structural engineering practices are presented by these findings. Directions for future research include the further refinement of ML models and the integration of probabilistic analyses for enhanced structural resilience. Overall, the transformative potential of ML and SHAP interpretation in advancing the field of structural engineering is showcased by this study.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Prediction of Torque Capacity in Circular Concrete-Filled Double-Skin Tubular Members under Pure Torsion via Machine Learning and Shapley Additive Explanations Interpretation

Simwanda,

Ikotun

2024

Buildings

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“…4,5 In the past, many scholars studied CFDST in the form of finite element simulation. [6][7][8][9][10][11] Uenaka et al 12 studied the axial compression performance of CFDST and established the compression ultimate strength formula. Yan et al 13,14 conducted axial compression tests on CFDST short columns with circular sections, and established a compressive strength model of CFDST short columns under axial compression based on confining stress paths.…”

Section: Introductionmentioning

confidence: 99%

“…In the past, many scholars studied CFDST in the form of finite element simulation 6–11 . Uenaka et al 12 studied the axial compression performance of CFDST and established the compression ultimate strength formula.…”

Section: Introductionmentioning

confidence: 99%

Axial compressive behavior of ultra‐high performance concrete‐filled double skin high‐strength steel tubular short columns

Deng

2022

Structural Concrete

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In this paper, seven ultra-high performance concrete (UHPC)-filled double skin high-strength steel tubular (UHPCFDST) columns and four UHPC filled high-strength steel tubular (UHPCFST) columns axial compression tests were carried out. The effects of hollow ratio, width-to-thickness ratio of the outer steel tube, and cross-section combination form on the axial compression performance of UHPCFDST were studied, and the failure mode, axial load-strain curve, and strain response were discussed. The results showed that the highstrength steel tube had good compatibility with UHPC, and all specimens finally had serious buckling deformation. The peak load of UHPCFDST specimens decreased with the increase of the hollow ratio, the ductility and toughness were improved. The width-to-thickness ratio of the outer steel tube had the most significant effect on the axial compression performance of the specimens. With the increase of the width-to-thickness of the outer steel tube, the ductility of the specimens tended to increase, and the toughness index first increased and then decreased. Finally, a unified calculation model for the ultimate compressive capacity of UHPCFDST and UHPCFST specimens was proposed, and the predicted value was in good agreement with the experimental value.

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Hysteretic behavior of geopolymeric recycled concrete-filled steel tubes under combined compression-bending-torsion

et al. 2023

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Numerical analysis on torsional behavior of rectangular and square CFDST members

Cited by 8 publications

References 45 publications

Prediction of Torque Capacity in Circular Concrete-Filled Double-Skin Tubular Members under Pure Torsion via Machine Learning and Shapley Additive Explanations Interpretation

Prediction of Torque Capacity in Circular Concrete-Filled Double-Skin Tubular Members under Pure Torsion via Machine Learning and Shapley Additive Explanations Interpretation

Axial compressive behavior of ultra‐high performance concrete‐filled double skin high‐strength steel tubular short columns

Hysteretic behavior of geopolymeric recycled concrete-filled steel tubes under combined compression-bending-torsion

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