Reliability considerations of modern design codes for CFST columns

Thai, Huu‐Tai; Thai, Son; Ngo, Tuan; Uy, Brian; Kang, Won‐Hee; Hicks, Stephen

doi:10.1016/j.jcsr.2020.106482

Cited by 30 publications

(9 citation statements)

References 52 publications

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“…More recently, from considering a database of more than 3200 tests [52], structural reliability analyses have been undertaken which investigated the performance of the current simplified design methods for concrete filled tubes (CFTs) given in a variety of international design standards when extended to fy = 850 MPa and fck = 185 MPa. From this investigation [53], it was found that the Eurocode 4 simplified method for CFTs could be extended beyond its current limits, whilst still maintaining the existing reliability index β level (see Figure 5).…”

Section: Composite Columns Using High Strength Concrete and Structura...mentioning

confidence: 87%

European Code Developments

2023

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The second generation of Eurocode 4 has been developed through several project teams that report to CEN TC250 Subcommittee 4 (CEN/TC250/SC4) ‘Design of composite steel and concrete structures’, which is chaired by Dr Graham Couchman. Given that work on the revised version of Eurocode 4 is nearing completion, this paper presents a selection of the changes that will be included, together with some of the technical challenges that needed to be overcome. Finally, further enhancements that might be considered worthy for inclusion within future editions of this standard are presented.

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Section: Composite Columns Using High Strength Concrete and Structura...mentioning

confidence: 87%

European Code Developments

2023

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“…The benefits of using CFST columns for tall buildings will be enhanced by employing high strength and ultra-high strength materials. With recent breakthroughs in construction materials, structural steel with the yield stress fy up to 1300 MPa and concrete with the compressive strength f'c up to 200 MPa have been commercially available [14]. The use of high strength materials benefit in reducing not only the amount of materials used (saving up to 50% of the amount of steel used in high-rise buildings [15]), but also column sizes and thus generating more valuable workspace for commercial use.…”

Section: Benefits Of Using Composite Systems For Tall Buildingsmentioning

confidence: 99%

Innovative Composite Structural Systems for Modular Tall Buildings

Thai

2023

ce papers

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Modular or offsite construction is believed to shape the future of the construction industry as it possesses significant benefits over traditional onsite construction methods. However, most of its application are limited to steel or concrete buildings. Although steel‐concrete composite structural system has many merits over the steel and concrete systems, its application in modular buildings is very limited. This paper explores recent developments of composite systems for modular high‐rise buildings. They include modular units for resisting vertical gravity loads and lateral structural systems for resisting horizontal forces from wind and earthquake loadings and progressive collapse due to accidental loads such as fire, explosions and impact. Various inter‐module joining methods developed in the literature will also be reviewed. Finally, a case study of the most efficient connection is presented to explore its applicability to high‐rise modular buildings.

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“…By measuring the load at which the column breaks and comparing it with the column's dimensions and materials, a model capable of predicting the ultimate load capacity (ULC) of CFST columns can be developed, as demonstrated in the studies by Han, 8 Ding et al, 9 Wang, 10 or Du 11 . Accurate ULC prediction for CFST columns holds significance for ensuring safety, optimizing designs, maintaining quality, planning maintenance, and assessing risks 12 . This practice guarantees structural safety, minimizes collapse risks, and supports long‐term structural integrity.…”

Section: Introductionmentioning

confidence: 99%

“…Guneyisi et al 48 developed an ML model using Gene Expression Programming (GEP) with 314 comprehensive experimental data samples to predict the ULC of CFST columns and then compared their results with several design codes and models proposed by other researchers. Thai et al 12 conducted a comprehensive study by collecting a database of CFST columns to assess popular design codes' safety and reliability, including ANSI/AISC 360-22, EC 4, and ASNZS 2327.…”

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Universal boosting ML approaches to predict the ultimate load capacity of CFST columns

Nguyen,

Le Nguyen,

2023

Structural Design Tall Build

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SummaryEstablishing a universal machine learning (ML) model in structural engineering is vital for understanding how various parameters, like geometry and material properties, influence a structure's behavior. This study aims to create a comprehensive ML model that considers the impact of different cross‐sectional parameters on the ultimate load capacity (ULC) of concrete‐filled steel tube (CFST) columns. This model assists engineers in making informed design decisions. The study employs a large dataset of 3094 data points with diverse geometric and material properties of CFST columns. After adjusting input features, robust boosting ML models (Catboost, LightGBM, and XGB) are meticulously fine‐tuned using grid search and fivefold cross‐validation. Monte Carlo simulation is used for further assessment. The results demonstrate that the most accurate XGB model delivers impressive accuracy, comparable to or better than existing literature models that focused on a single CFST column cross‐section. The chosen XGB model is then utilized for feature importance analysis, local performance assessment, and sensitivity analysis through 1‐D and 2‐D partial dependence plots. These analyses help assess the input's contribution and effect on ULC prediction for CFST columns.

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Reliability considerations of modern design codes for CFST columns

Cited by 30 publications

References 52 publications

European Code Developments

European Code Developments

Innovative Composite Structural Systems for Modular Tall Buildings

Universal boosting ML approaches to predict the ultimate load capacity of CFST columns

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