Methodology for the accuracy improvement of FEM beam type T-junctions of buses and coaches structures

Alcalá, Enrique; Badea, Francisco; Martin, April; Aparicio, F.

doi:10.1007/s12239-013-0090-3

Cited by 8 publications

(13 citation statements)

References 8 publications

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“…It could be noticed that the FE beam element using flexible joint beam element has the lowest error for those other. This was clearly identified that FE beam flexible joint or compensated joint modeling approach could have an equivalent solution to other element that agreed with the study of E. Alcala et al [9] (a) Figure 8 displayed the maximum stress distribution occurred on the bus superstructure in a case of torsion load, which was the critical condition. The critical stress of 81.94 MPa occurred on the cross beam member of body structure which was adjacent to rear wheel hub.…”

Section: Strength Analysis Of Bus Superstructure By Improved Flexiblesupporting

confidence: 86%

“…However, the infinite rigid behavior of beam joint modeling continues to be a limitation in the analysis. This imperfection decides an inflexible behavior of structures interpreting into an error cause for the structural analysis (up to 45%) [9]. In previous studies, the reliability of bus structure was proposed using shell and volume element type analysis [2,10].…”

Section: Introductionmentioning

confidence: 99%

“…In previous studies, the reliability of bus structure was proposed using shell and volume element type analysis [2,10]. The study of Alcala in 2013 [9] examined the square thin-walled cross section of T-junctions using beam element included the joint stiffness consideration. The behavioral characteristics of beam modeled determining their limitations and comparing to shell and volume elements.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Strength Analysis of a Bus Superstructure Based on the Accuracy Improvement of T-Junction Flexible Joint Stiffness

Rooppakhun¹,

Wichairahad²

2018

IJET

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The strength analysis of bus superstructure was extremely important that the manufacturer must take into account, especially in the maximum stress analysis as well as the construction stiffness. In this study, the finite element (FE) model of an intercity bus superstructure consisted of chassis frame and body structure has been analyzed based on the improved beam joint considerations. The accuracy improvement of beam type element model was performed using the equivalent joint stiffness of T-junction beam modeling, and then compared with shell and volume elements. According to the improved T-junction FE model, the flexible joint stiffness consideration has been obtained, in which the behavioral error was reduced to less than 6%. The FE model of bus superstructure with improved beam joint was then compared to the rigid joint condition in bending, torsion, longitudinal and lateral load cases. The numerical results revealed that magnitude of maximum stress in the improved beam joint model displayed increasing of 11.53 %, 14.11 %, and 18.45 % in torsion, longitudinal and lateral load cases, respectively. However, the maximum stresses reduced in a case of bending with value of 5.72 %. In addition, the value of construction stiffness of improved beam joint model exhibited lower than the rigid beam joint as 44.85%, and 10.68% in the bending and torsion load case, respectively. To improve the accuracy of computer simulation, it will be beneficial to the passenger and the bus structure design and improvement procedure.

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Section: Strength Analysis Of Bus Superstructure By Improved Flexiblesupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Strength Analysis of a Bus Superstructure Based on the Accuracy Improvement of T-Junction Flexible Joint Stiffness

Rooppakhun¹,

Wichairahad²

2018

IJET

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“…Furthermore, model was more easily adjusted and modified compared to the surface. In case of the accuracy, it was presented that results of the surface element were closely the fact [8]. After having literature review, the number of researches related to strength stiffness and stability of truck structure was found that there was maximum stress especially when braking and cornering.…”

Section: Introductionmentioning

confidence: 98%

The Strength Analysis of an Agriculture Truck Pick-up using Finite Element Method

2016

2016 International Conference on Advances in Software, Control and Mechanical Engineering (ICSCME-16) April 12-13, 2016 Kyoto (

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“…In their study [18] developed an alternative beam T-junction model that allowed them to obtain more precise deformation results when utilizing beam type elements, also allowing them to take into consideration different T-junction configurations. Their focus was to improve the results provided by beam type elements when simulating structures that by their characteristics cannot be realistically simulated with anything but beam type elements due to the complexity of the modeling process, the computational requirements or other practical aspects.…”

Section: Introductionmentioning

confidence: 99%

Detailed Study on the Behavior of Improved Beam T-Junctions Modeling for the Characterization of Tubular Structures, Based on Artificial Neural Networks Trained with Finite Element Models

2021

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The actual behavior of welded T-junctions in tubular structures depends strongly on the topology of the junction at the joint level. In finite element analysis, beam-type elements are usually employed due to their simplicity and low computational cost, even though they cannot reproduce the joints topologies and characteristics. To adjust their behavior to a more realistic situation, elastic elements can be introduced at the joint level, whose characteristics must be determined through costly validations. This paper studies the optimization and implementation of the validation data, through the creation of an optimal surrogate model based on neural networks, leading to a model that predicts the stiffness of elastic elements, introduced at the joint level based on available data. The paper focuses on how the neural network should be chosen, when training data is very limited and, more importantly, which of the available data should be used for training and which for verification. The methodology used is based on a Monte Carlo analysis that allows an exhaustive study of both the network parameters and the distribution and choice of the limited data in the training set to optimize its performance. The results obtained indicate that the use of neural networks without a careful methodology in this type of problems could lead to inaccurate results. It is also shown that a conscientious choice of training data, among the data available in the problem of choice of elastic parameters for T-junctions in finite elements, is fundamental to achieve functional surrogate models.

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Methodology for the accuracy improvement of FEM beam type T-junctions of buses and coaches structures

Cited by 8 publications

References 8 publications

The Strength Analysis of a Bus Superstructure Based on the Accuracy Improvement of T-Junction Flexible Joint Stiffness

The Strength Analysis of a Bus Superstructure Based on the Accuracy Improvement of T-Junction Flexible Joint Stiffness

The Strength Analysis of an Agriculture Truck Pick-up using Finite Element Method

Detailed Study on the Behavior of Improved Beam T-Junctions Modeling for the Characterization of Tubular Structures, Based on Artificial Neural Networks Trained with Finite Element Models

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