Low-frequency sinusoids for enhanced shear buckling performance of thin plates

Wang, Peter Y.; Garlock, María Eugenia Moreyra; Zoli, Ted; Quiel, Spencer E.

doi:10.1016/j.jcsr.2020.106475

Cited by 13 publications

(4 citation statements)

References 22 publications

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“…The sensitivity analysis for a1 exhibits an inverse relationship with shear strength. This finding aligns with previous studies indicating that larger longitudinal fold panels reduce shear strength, potentially due to increased flexibility or stress concentrations [42,43]. The steel yield strength (𝜏 𝑦 ) shows the least impact on the shear strength of sinusoidal corrugated steel webs within the parameter range studied, as evidenced by its low variable importance score of 0.02.…”

Section: Variable Importance and Sensitivity Analysissupporting

confidence: 90%

Optimizing Gene Expression Programming to Predict Shear Capacity in Corrugated Web Steel Beams

Shrif,

Al-Sadoon,

Barakat

et al. 2024

Civ Eng J

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Corrugated web steel systems, such as corrugated web girders (CWG) and beams (CWSB), have the potential to influence the modern construction industry due to their unique properties, including enhanced shear strength and reduced necessity for transverse stiffeners. Nevertheless, the lack of a rapid and accurate design approach still limits its wide applications. Recently, gene expression programming (GEP) has been employed to predict the shear capacity of cold-formed steel channels, demonstrating superior predictive accuracy and compliance with established standards. This study applies GEP to predict the shear capacity of sinusoidal CWSBs and optimizes its predictive performance by employing a systematic grid search to explore combinations of chromosomes, head sizes, gene counts, and linking functions. The process involved testing 19 different parameter combinations and more than 60 developed models. The findings include the sensitivity of the model's performance to gene count and the critical role of the linking function. The optimal model in the study, GEP13, achieved R² of 0.95, an RMSE of 100.5, and an MAE of 86.6 in the testing dataset with 150 chromosomes, a head size of 12, and four genes using a multiplication linking function. Doi: 10.28991/CEJ-2024-010-05-02 Full Text: PDF

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Section: Variable Importance and Sensitivity Analysissupporting

confidence: 90%

Optimizing Gene Expression Programming to Predict Shear Capacity in Corrugated Web Steel Beams

Shrif,

Al-Sadoon,

Barakat

et al. 2024

Civ Eng J

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“…Sebastiao and Papangelis [20] employed finite element analysis to calculate the elastic shear deformation of beams featuring sinusoidal corrugated webs. By considering the aim of increasing the shear capacity of narrow plates in a fabrication-intensive manner, Wang et al [21] suggested a method for generating low-frequency sinusoidal patterns on the plate. Corrugated-web steel beams and traditional steel beams exhibited comparable failure forms, according to the study of Górecki and Śledziewski [22] on steel plate girders; however, the corrugated steel webs in bridge girders were thinner than conventional solutions.…”

Section: Introductionmentioning

confidence: 99%

Innovative Design Techniques for Sinusoidal-Web Beams: A Reliability-Based Optimization Approach

Cserpes,

Habashneh,

Szép

et al. 2024

Buildings

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Existing studies often rely on deterministic numerical analyses for structural models. However, test results consistently highlight uncertainties, particularly in variables such as magnitude of the applied load, geometrical dimensions, material randomness, and limited experiential data. As a response, researchers have increasingly turned their attention to probabilistic design models, recognizing their crucial role in accurately predicting structural performance. This study aims to integrate reliability-based analysis into the numerical modeling of sinusoidal-web steel beams. Two sinusoidal-web beams are considered. The web and the flange thicknesses, in addition to the magnitude of the applied load, are treated as random variables with mean values and standard deviations. Notably, the study demonstrates the efficiency of the reliability index as a governing limit in the analysis process. A detailed comparison between deterministic and probabilistic designs of sinusoidal-web beams is conducted, focusing on the impact of introducing the nature of randomness. Therefore, this study’s results deepen our understanding of how uncertainties significantly influence deformations and stresses.

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“…This is why in recent years there has been intensive research on their basic behavior connected with stress [ 30 ], elastic critical moment, buckling [ 31 , 32 ], and shear [ 33 , 34 ]; they are computed in this study within the concept of limit states. A very interesting problem is the capacity and serviceability of such constructions in fire conditions [ 35 ], which considerably reduce the bearing capacity of steel structures and also their reliability.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Reliability-Based Design Optimization Framework for the Steel Plate Girder with Corrugated Web Subjected to Corrosion

Sokołowski

Kamiński

2022

Materials

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This paper proposes the framework for reliability-based design optimization (RBDO) of structural elements with an example based on the corrugated web I-girder. It tackles the problem of topological optimization of corroding structures with uncertainties. Engineering restrictions follow a concept of the limit states (LS) and extend it for stability and eigenfrequency assessment. The reliability constraints include all the LS; they are computed according to first- and second-order reliability methods. The RBDO example minimizes the bridge girder cross-section while satisfying the structural reliability level for the ultimate and the serviceability limit states, stability, and eigenfrequency. It takes into consideration two uncorrelated random effects, i.e., manufacturing imperfection and corrosion. They are both Gaussian; the first of them is applied at assembly time, while the second is applied according to the time series. The example confronts three independent FEM models with an increasing level of detailing, and compares RBDO results for three concurrent probabilistic methods, i.e., the iterative stochastic perturbation technique (ISPT), the semi-analytical method, and the Monte Carlo simulation. This study proves that the RBDO analysis is feasible even for computationally demanding structures, can support automation of structural design, and that the level of detailing in the FEM models influences its results. Finally, it exemplifies that reliability restrictions for LS are much more rigorous than for their deterministic counterparts, and that the fastest ISPT method is sufficiently accurate for probabilistic calculations in this RBDO.

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Low-frequency sinusoids for enhanced shear buckling performance of thin plates

Cited by 13 publications

References 22 publications

Optimizing Gene Expression Programming to Predict Shear Capacity in Corrugated Web Steel Beams

Optimizing Gene Expression Programming to Predict Shear Capacity in Corrugated Web Steel Beams

Innovative Design Techniques for Sinusoidal-Web Beams: A Reliability-Based Optimization Approach

Stochastic Reliability-Based Design Optimization Framework for the Steel Plate Girder with Corrugated Web Subjected to Corrosion

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