New accurate efficient modeling techniques for the vibration analysis of T-joint thin-walled box structures

Kim, Jin Hong; Kim, Hyeon Seok; Kim, Dae Woon; Kim, Yoon Young

doi:10.1016/s0020-7683(02)00257-3

Cited by 19 publications

(6 citation statements)

References 10 publications

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“…al. [12] discussed the accuracy of FEA based joint rate evaluations regarding transformation error from shell element model to spring rate and proposed their own model [13]. Long [14] presented two tools that link the performance targets for a joint in a BIW to its geometry.…”

Section: Automotive Body Structural Modelingmentioning

confidence: 99%

Decomposition-Based Assembly Synthesis for Structural Stiffness and Dimensional Integrity

Lyu

Lee

2004

Design Engineering

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A method for optimally synthesizing multi-component structural assemblies of an aluminum space frame (ASF) vehicle body is presented, which simultaneously considers structural stiffness, manufacturing and assembly cost and dimensional integrity under a unified framework based on joint libraries. The optimization problem is posed as a simultaneous determination of the location and feasible types of joints in a structure selected from the predefined joint libraries, combined with the size optimization for the cross sections of the joined structural frames. The structural stiffness is evaluated by finite element analyses of a beam-spring model modeling the joints and joined frames. Manufacturing and assembly costs are estimated based on the geometries of the components and joints. Dimensional integrity is evaluated as the adjustability of the assembly for the given critical dimensions. The optimization problem is solved by a multi-objective genetic algorithm. An example on an ASF of the mid-size passenger vehicle is presented, where the representative designs in the Pareto set are examined with respect to the three design objectives.

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Section: Automotive Body Structural Modelingmentioning

confidence: 99%

Decomposition-Based Assembly Synthesis for Structural Stiffness and Dimensional Integrity

Lyu

Lee

2004

Design Engineering

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“…Given these limitations, some authors have used shell or volume type elements as an alternative for the study of the joints, modeling the rest of the structure with beam type elements, these elements allow the characteristics of the joint to be modeled more accurately. In [14] the shell element model was applied to tubular joints and major improvements were reported. In [15] the models of a single beam with shell elements were compared against the same shell and beam modeled and it was shown that hybrid modeling could reduce the number of elements without compromising the results.…”

Section: Introductionmentioning

confidence: 99%

“…The same approach has been applied to the analysis of structural joints in cars. Thus, hybrid modeling has led to satisfactory results [14,16,17] in this field, however, the application of this hybrid technique to larger models (e.g., hollow beam structures in buses) is unattractive, since it would be necessary to specifically model a large number of joints, which leads to a substantial increase in the model preparation time and more computational resources by increasing the number of elements in the model.…”

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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“…Tsurumi found that nonlinear analysis in finite element model is only accurate for thin walled beam but not for joined structure [5]. Kim produced new modelling technique for thin walled joint but this method can be applied specifically for T-joint vibration analysis [6]. On previous work, stiffness of 3D space frame was developed using Catiglino's Theorem.…”

Section: Introductionmentioning

confidence: 99%

Joint Stiffness of 3D Space Frame Thin Walled Structural Joint Considering Local Buckling Effect

Yob

Mansor

Sulaiman

2014

AMM

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Thin walled structure is widely used in designing light weight vehicle. For automotive industry, weight is an important characteristic to increase performance of a vehicle. Vehicle structures are built from thin walled beams by joining them using various joining methods and techniques. For a structure, its stiffness greatly depends on joint stiffness. However, stiffness of thin walled beam is difficult to predict accurately due to buckling effect. Once the beams are joined to form a structure, it will expose to joint flexibility effect. A lot of researches had been done to predict the behaviors of thin walled joint analytically and numerically. However, these methods failed to come out with satisfactory result. In this research work, finite element model for 3D space frame thin walled structural joint is developed using circular beam element by validating with experimental result. Another finite element model using rigid element is used to represent 3D space frame behavior without joint effect. The difference between these 2 models is due to joint effect. By using same modelling technique, joint stiffness for different sizes can be established. Then, the relation between joint stiffness for 3D space frame and size of beam can be obtained.

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New accurate efficient modeling techniques for the vibration analysis of T-joint thin-walled box structures

Cited by 19 publications

References 10 publications

Decomposition-Based Assembly Synthesis for Structural Stiffness and Dimensional Integrity

Decomposition-Based Assembly Synthesis for Structural Stiffness and Dimensional Integrity

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

Joint Stiffness of 3D Space Frame Thin Walled Structural Joint Considering Local Buckling Effect

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