Development of a 3D finite element model at mesoscale for the crushing of unidirectional composites: Application to plates crushing

Grotto, Florent; Rivallant, Samuel

doi:10.1016/j.compstruct.2022.115346

Cited by 12 publications

(6 citation statements)

References 36 publications

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“…Applied research can be divided into the following two categories [16]. (1) It is the research of software simulation and hardware implementation of neural networks. ( 2) It is the research on neural network application in various fields, such as pattern recognition, signal processing, knowledge engineering, expert system, optimal combination, and robot control.…”

Section: Analysis Of Neural Network Technologymentioning

confidence: 99%

“…In recent years, the three-dimensional (3D) image of the 3D model clearly describes the actual object due to the rapid progress of computer equipment and virtual reality technology. erefore, 3D models are gradually widely used in scienti c research and people's lives, such as in reverse engineering, 3D animation, professional medical eld, design of the 3D game, and other elds [1]. e number of present 3D models is growing exponentially, and massive 3D models are created and published every day, which leads to a large amount of memory space for the number of these models [2].…”

Section: Introductionmentioning

confidence: 99%

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Simplified Algorithm of Geometric Model Region Segmentation Using Neural Network

Wang

Guo

Zhao

et al. 2022

Mobile Information Systems

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The simplification of three-dimensional (3D) models has always been a hot research topic for scholars. The researchers simplified different parts of the 3D point cloud data from both global and local information. Aiming at the need to retain detailed features in the simplification of 3D models, the neural network (NN) technology is firstly analyzed and studied, and a simplified algorithm for regional segmentation of geometric models based on Graph Convolutional Neural Network (GCNN) is proposed. Secondly, based on the idea of dense connection of DenseNet network structure, a symmetric segmentation model is established. The left part continuously performs Down-Sampling and local feature aggregation on the original geometric model through the Weighted Critical Points (WCPL) algorithm and edge convolution operation and performs compression encoding. At the same time, the right part uses the interpolation method for Up-Sampling the encoded data to increase the number of data points and feature dimensions, so as to restore the point cloud data to the dimensions before processing. Finally, it is restored to the dimension size of the original data to realize the end-to-end output of the segmentation model. Comparing the results with other segmentation models, it shows that (1) as the number of iterations increases, the regional accuracy of the training set increases; (2) after 1000 training rounds, from the perspective of the segmentation effect of a single category of objects, the model has good segmentation effect and has application prospects; and (3) compared with other models, the segmentation interaction ratio of the model is at a relatively mature level. The findings can provide a reference for the application of the segmentation technology of related geometric models and neural networks in the fields of similar models and image segmentation.

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Section: Analysis Of Neural Network Technologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simplified Algorithm of Geometric Model Region Segmentation Using Neural Network

Wang

Guo

Zhao

et al. 2022

Mobile Information Systems

View full text Add to dashboard Cite

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“…Experimental methods, however, are time consuming and expensive. That is why researchers are getting more interested in FE Models [18][19][20][21][22] in recent years. Advances in commercial finite element analysis (FEA) software have enabled researchers to realistically simulate the performance of composite structures; however, computational cost is an issue to overcome.…”

Section: Introductionmentioning

confidence: 99%

Energy absorption capability of carbon/epoxy composite laminates: A novel numerical approach

Engül

Ersoy

2023

Journal of Reinforced Plastics and Composites

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While composite structures absorb energy well during crash events, crush-induced failure mechanisms and their effects on energy absorption characteristics are still unclear. Due to the complexity of the process, Finite Element (FE) models applied to estimate energy absorption capability of composite structures require a considerable amount of computational time. This study presents a novel numerical approach for the crushing process of AS4/8852 flat coupon plates in which computational cost is decreased by reducing the number of interfaces between plies and modifying the relevant properties. Experimental and numerical studies are conducted for cross-ply specimens [0/90]ns in order to understand and discuss the failure mechanisms occurring during the crushing process in detail and the influence of plate thickness on Specific Energy Absorption (SEA). Moreover, to demonstrate the validity of novel FE model for different stacking sequences, same approach is applied to the [0/45/0/−45]s plate geometry. By this method, run time is decreased by more than 50%.

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“…Grotto et al extended their work to a 3D representation and crushing stress definitions resulting in even better agreement with conducted experiments. 28 Liu et al set up a 3D material model and defined multiple solid elements through the thickness of each ply to evaluate crushing with two different trigger geometries. Their simulations obtained very accurate predictions of the coupon failure behaviour.…”

Section: Introductionmentioning

confidence: 99%

“…22,23 More recently, further studies were carried out with a similar experimental procedure to crush moving coupons in a guiding fixture. [24][25][26][27][28][29] Another approach with coupon geometries unsupported in the crushing area was proposed by Bru et al and adapted by other authors. [30][31][32][33] They used specimens of just a few millimetres in size, clamped into a fixture to provoke a crushing response upon compression or impact of a guided mass.…”

Section: Introductionmentioning

confidence: 99%

Dynamic crushing of composite coupons: An experimental and numerical study

Pohl,

Liu,

Thomson

et al. 2023

Journal of Composite Materials

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Dynamic crushing of composites is studied proposing an optimised experimental design: flat, millimetre-scale specimens reduce geometrical influences and facilitate detailed numerical studies. Crushing behaviour is investigated on a universal testing machine and a drop-tower at varying loading rates using two different force measurement techniques. The results show a decrease in the maximum stress and absorbed energy at elevated rates due to a higher extent of delamination, caused by strain-rate-induced increase of intralaminar damage property values. The experiments are simulated in an explicit finite element solver with different through-thickness discretisation, showing that a stacked-laminate model is incapable of reproducing the crushing response at high velocities. However, a discrete-ply model is capable of describing the main failure mechanisms and energy absorption for all loading rates. Further improvement of the model’s predictive capability could be achieved by adding a plasticity formulation in the ply material model.

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Development of a 3D finite element model at mesoscale for the crushing of unidirectional composites: Application to plates crushing

Cited by 12 publications

References 36 publications

Simplified Algorithm of Geometric Model Region Segmentation Using Neural Network

Simplified Algorithm of Geometric Model Region Segmentation Using Neural Network

Energy absorption capability of carbon/epoxy composite laminates: A novel numerical approach

Dynamic crushing of composite coupons: An experimental and numerical study

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