Buckling of laminated composite skew plate using FEM and machine learning methods

Mishra, Bharat Bhushan; Kumar, Ajay; Samui, Pijush; Roshni, Thendiyath

doi:10.1108/ec-08-2019-0346

Cited by 20 publications

(4 citation statements)

References 59 publications

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“…The phrase "out-of-bag data" refers to data that has been left over from a previous project (out of bootstrap sampling). Predictor trees need the selection of variable sizes as well as the implementation of a pruning process [11]. Several different techniques for variable selection for tree induction have been presented in the literature, the vast majority of which are directly associated with quality metrics (such as reliability and validity).…”

Section: Regression On a Random Forestmentioning

confidence: 99%

Soil Infiltration Rate Impact on Water Quality Modeled Using Random Forest Regression

Sopandi

2021

J. Appl. Data Sci.

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In this paper, Infiltration rate of the soil is investigated by using predictive models of Random forest regression and their performance were compared with Artificial neural network (ANN) and M5P model tree techniques. We utilized 132 field measurements comprising this dataset. 88 models were trained using observations, while the remaining 44 were used to validate it. The cumulative time (Tf), the impurity type (It), the impurity concentration (Ci), and the moisture content (Wc) were utilized as input variables, and the rate of infiltration was employed as the output. To evaluate the efficiency of the two modeling methodologies, correlation coefficients we estimated root mean square error (RMSE), mean absolute error (MAE), relative absolute error (RAE), and root relative square error are all terms that may be used to describe errors (RRSE). The random forest regression approach outperforms the other two models when compared to evolutionary data (ANN and M5P model tree). Using a random forest as a model, regression can properly estimate the infiltration rate within a 25% error range. According to the results of the sensitivity research, cumulative time plays an important influence in determining the soil's penetration rate.

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Section: Regression On a Random Forestmentioning

confidence: 99%

Soil Infiltration Rate Impact on Water Quality Modeled Using Random Forest Regression

Sopandi

2021

J. Appl. Data Sci.

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“…As far as buckling characteristics of laminated fiber-reinforced composite materials are concerned, most of the available literature data refer to plates with and without cutouts. 15,16 The buckling behavior of rectangular, 17 circular, 18 elliptical, 19 and skew 20 plates with different end conditions, [21][22][23] loadings, 24 number of layers, 25,26 ply orientations, 27,28 stacking sequences, 29,30 aspect ratios, 31 thicknesses, 32 cutout shapes 33,34 and material nonlinearity 35 have been studied by many researchers. However, some techniques that can increase the buckling performance of fiber-reinforced composite materials are also widely preferred.…”

Section: Introductionmentioning

confidence: 99%

Buckling characteristics of nano‐silica doped carbon fiber reinforced composites having cutouts

Özdemir,

Özbek,

Bozkurt

et al. 2024

Polymer Composites

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The current study presents an experimental investigation devoted to the nano‐silica and cutout effects on the axial and lateral buckling responses of carbon/epoxy fiber‐reinforced composite laminates. To this end, specimens manufactured by vacuum bagging after hand layup technique were prepared at various amounts of nano‐silica (0.5%, 1.0%, 1.5%, 2.0%, and 3.0% by weight) incorporated into epoxy resin. Furthermore, semi‐circular and circular cutouts were opened on specimens to understand cutout effect on buckling characteristics of specimens. The results demonstrated that nano‐silica had a significant effect on buckling behaviors of the carbon fiber‐reinforced composites. Regardless of cutout presences, maximum critical axial (393.33 N, 361.67 N, 320 N for W, C and S) and lateral buckling loads (34.67 N, 33 N, 32.33 N for W, C and S), were achieved from the samples having 1.5 wt. % nano‐silica. In specimens having no cutout, maximum improvements of 72.26% in axial and 48.6% in lateral directions were achieved from the specimens having 1.5 wt. % nano‐silica content. A further amount of nano‐silica addition decreased the resistance to buckling of the specimens. Also, the presence of cutouts on the specimens led to decreases in critical loads. The decreases of 1.5 wt. % nano‐silica doped specimens without cutout in the axial and lateral critical buckling loads, respectively, were seen as 22.9% and 7.24% for circular cutout, 8.75% and 5.06% for semi‐circular cutout. It was concluded that cutout processing and nano‐silica additions should be taken into consideration in a material that may be exposed the buckling failures.Highlights Nano‐silica impact on buckling behaviors of carbon fiber‐reinforced composites Cutout effects on buckling properties of carbon fiber‐reinforced composites Failure modes of carbon fiber‐reinforced composites with nano‐silica particles Findings showed that 1.5 wt. % nano‐silica inclusion exhibited the best values for buckling.

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“…Ashton [20] analyzed the elastic local buckling load of clamped skew plates under combined loads using the energy method; however, the skew angle and aspect ratio were constrained, yielding limited practical research outcomes. Mishra et al [21] developed a determinant equation for the elastic buckling load of laminated composite skew plates under uniaxial compressive stress but did not present simple design formulas for practical application. Despite numerous studies on the local buckling load of skew plates, few have theoretically examined these loads under biaxial stresses.…”

Section: Introductionmentioning

confidence: 99%

Elastic Critical Buckling Coefficients for Skew Plates of Steel Structures under Biaxial Normal Stress

Mitsui,

Ikarashi,

Sada

2024

Buildings

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In steel structures, skew thin steel plates serve as panel zones in structures spanning large spaces (e.g., warehouses and gymnasiums). Considerable research has been conducted on the shear buckling of panels due to seismic loads acting on a structure. Conversely, under snow or wind loads, the panel zone may experience compressive and tensile stresses simultaneously from two directions. Considering the economic preference for thin steel plates, evaluating the elastic critical local buckling stresses in the panel zone under biaxial normal stress may provide essential information to structural engineers. In this study, an elastic buckling analysis based on the energy method is performed to clarify the impact of panel geometry and boundary conditions on the elastic local buckling stresses of skew panel zones. As confirmed from the results, the local buckling stresses calculated using the energy method were consistent with those determined using finite element analysis. The findings indicate that a skew angle of up to 30° marginally affects the elastic buckling stress under uniaxial stress. Consequently, engineer-friendly design formulas were developed based on these findings. Comparisons with previous research demonstrated that the buckling loads reported were generally higher than those determined by finite element analysis. The study also established the correlation of the buckling stresses under biaxial stresses, which implied that the skew angle posed minimal influence on buckling stress for skew plates under biaxial stress. Additionally, a method for evaluating this correlation was presented. Engineers can utilize the provided design equations to more efficiently and accurately calculate buckling loads, facilitating a safer and more economical design of structures with skew plates.

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Buckling of laminated composite skew plate using FEM and machine learning methods

Cited by 20 publications

References 59 publications

Soil Infiltration Rate Impact on Water Quality Modeled Using Random Forest Regression

Soil Infiltration Rate Impact on Water Quality Modeled Using Random Forest Regression

Buckling characteristics of nano‐silica doped carbon fiber reinforced composites having cutouts

Elastic Critical Buckling Coefficients for Skew Plates of Steel Structures under Biaxial Normal Stress

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