Prediction of elastic wave propagation in composites using 3D CNN
Performing time-dependent finite element simulations for wave propagation in composites is a particularly complex task that consumes a lot of computational energy as it involves modeling the interactions between waves and various constituents that make up the composite material. In this study, we ha...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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AIP Publishing LLC
2023-11-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0177289 |
| _version_ | 1797404803800760320 |
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| author | Xiaoming Xu Jianjun Wei Sheng Sang |
| author_facet | Xiaoming Xu Jianjun Wei Sheng Sang |
| author_sort | Xiaoming Xu |
| collection | DOAJ |
| description | Performing time-dependent finite element simulations for wave propagation in composites is a particularly complex task that consumes a lot of computational energy as it involves modeling the interactions between waves and various constituents that make up the composite material. In this study, we have developed a surrogate model of elastic wave propagation in composites based on three-dimensional conventional neural networks. The input to the model consists of a three-dimensional matrix representing the architecture of the composites and a vector representing the input waves, while the output is a vector representing the output elastic waves. After training the model using 60 000 randomly generated samples, it has shown high accuracy and efficiency in predicting the output elastic waves. This significantly reduces computational resources required to conduct simulation using commercial software, making it a more practical solution for real-world applications, such as composite optimization, nondestructive testing, and material characterization. |
| first_indexed | 2024-03-09T03:00:22Z |
| format | Article |
| id | doaj.art-c267419e69994fb7b5ed0a8764584ed8 |
| institution | Directory Open Access Journal |
| issn | 2158-3226 |
| language | English |
| last_indexed | 2024-03-09T03:00:22Z |
| publishDate | 2023-11-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | AIP Advances |
| spelling | doaj.art-c267419e69994fb7b5ed0a8764584ed82023-12-04T17:18:29ZengAIP Publishing LLCAIP Advances2158-32262023-11-011311115202115202-510.1063/5.0177289Prediction of elastic wave propagation in composites using 3D CNNXiaoming Xu0Jianjun Wei1Sheng Sang2Institute of Construction Engineering Technology, Changzhou Vocational Institute of Engineering, Changzhou, Jiangsu 213164, ChinaInstitute of Construction Engineering Technology, Changzhou Vocational Institute of Engineering, Changzhou, Jiangsu 213164, ChinaDepartment of Engineering Science, Bethany Lutheran College, Mankato, Minnesota 56001, USAPerforming time-dependent finite element simulations for wave propagation in composites is a particularly complex task that consumes a lot of computational energy as it involves modeling the interactions between waves and various constituents that make up the composite material. In this study, we have developed a surrogate model of elastic wave propagation in composites based on three-dimensional conventional neural networks. The input to the model consists of a three-dimensional matrix representing the architecture of the composites and a vector representing the input waves, while the output is a vector representing the output elastic waves. After training the model using 60 000 randomly generated samples, it has shown high accuracy and efficiency in predicting the output elastic waves. This significantly reduces computational resources required to conduct simulation using commercial software, making it a more practical solution for real-world applications, such as composite optimization, nondestructive testing, and material characterization.http://dx.doi.org/10.1063/5.0177289 |
| spellingShingle | Xiaoming Xu Jianjun Wei Sheng Sang Prediction of elastic wave propagation in composites using 3D CNN AIP Advances |
| title | Prediction of elastic wave propagation in composites using 3D CNN |
| title_full | Prediction of elastic wave propagation in composites using 3D CNN |
| title_fullStr | Prediction of elastic wave propagation in composites using 3D CNN |
| title_full_unstemmed | Prediction of elastic wave propagation in composites using 3D CNN |
| title_short | Prediction of elastic wave propagation in composites using 3D CNN |
| title_sort | prediction of elastic wave propagation in composites using 3d cnn |
| url | http://dx.doi.org/10.1063/5.0177289 |
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