A Numerical Study on 3D Printed Cementitious Composites Mixes Subjected to Axial Compression
Aptly enabled by recent developments in additive manufacturing technology, the concept of functionally grading some cementitious composites to improve structural compression forms is warranted. In this work, existing concrete models available in Abaqus Finite Element (FE) packages are utilized to si...
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2021
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oai:doaj.org-article:3bc2a0bd8c474be8b1864cec752fa3622021-11-25T18:14:28ZA Numerical Study on 3D Printed Cementitious Composites Mixes Subjected to Axial Compression10.3390/ma142268821996-1944https://doaj.org/article/3bc2a0bd8c474be8b1864cec752fa3622021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1944/14/22/6882https://doaj.org/toc/1996-1944Aptly enabled by recent developments in additive manufacturing technology, the concept of functionally grading some cementitious composites to improve structural compression forms is warranted. In this work, existing concrete models available in Abaqus Finite Element (FE) packages are utilized to simulate the performance of some cementitious composites numerically and apply them to functional grading using the multi-layer approach. If yielding good agreement with the experimental results, two-layer and three-layer models case combinations are developed to study the role of layer position and volume. The optimal and sub-optimal performance of the multi-layer concrete configurations based on compressive strength and sustained strains are assessed. The results of the models suggest that layer volume and position influence the performance of multi-layer concrete. It is observed that when there exists a substantial difference in material strengths between the concrete mixes that make up the various layers of a functionally graded structure, the influence of position and of material volume are significant in a two-layer configuration. In contrast, in a three-layer configuration, layer position is of minimal effect, and volume has a significant effect only if two of the three layers are made from the same material. Thus, a multilayered design approach to compression structures can significantly improve strength and strain performance. Finally, application scenarios on some structural compression forms are shown, and their future trajectory is discussed.Hanqiu LiuKing-James Idala EgbeHaipeng WangAli Matin NazarPengcheng JiaoRonghua ZhuMDPI AGarticlenumerical simulationscementitious composites3D printed concretecompression structural formsTechnologyTElectrical engineering. Electronics. Nuclear engineeringTK1-9971Engineering (General). Civil engineering (General)TA1-2040MicroscopyQH201-278.5Descriptive and experimental mechanicsQC120-168.85ENMaterials, Vol 14, Iss 6882, p 6882 (2021) |
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numerical simulations cementitious composites 3D printed concrete compression structural forms Technology T Electrical engineering. Electronics. Nuclear engineering TK1-9971 Engineering (General). Civil engineering (General) TA1-2040 Microscopy QH201-278.5 Descriptive and experimental mechanics QC120-168.85 |
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numerical simulations cementitious composites 3D printed concrete compression structural forms Technology T Electrical engineering. Electronics. Nuclear engineering TK1-9971 Engineering (General). Civil engineering (General) TA1-2040 Microscopy QH201-278.5 Descriptive and experimental mechanics QC120-168.85 Hanqiu Liu King-James Idala Egbe Haipeng Wang Ali Matin Nazar Pengcheng Jiao Ronghua Zhu A Numerical Study on 3D Printed Cementitious Composites Mixes Subjected to Axial Compression |
description |
Aptly enabled by recent developments in additive manufacturing technology, the concept of functionally grading some cementitious composites to improve structural compression forms is warranted. In this work, existing concrete models available in Abaqus Finite Element (FE) packages are utilized to simulate the performance of some cementitious composites numerically and apply them to functional grading using the multi-layer approach. If yielding good agreement with the experimental results, two-layer and three-layer models case combinations are developed to study the role of layer position and volume. The optimal and sub-optimal performance of the multi-layer concrete configurations based on compressive strength and sustained strains are assessed. The results of the models suggest that layer volume and position influence the performance of multi-layer concrete. It is observed that when there exists a substantial difference in material strengths between the concrete mixes that make up the various layers of a functionally graded structure, the influence of position and of material volume are significant in a two-layer configuration. In contrast, in a three-layer configuration, layer position is of minimal effect, and volume has a significant effect only if two of the three layers are made from the same material. Thus, a multilayered design approach to compression structures can significantly improve strength and strain performance. Finally, application scenarios on some structural compression forms are shown, and their future trajectory is discussed. |
format |
article |
author |
Hanqiu Liu King-James Idala Egbe Haipeng Wang Ali Matin Nazar Pengcheng Jiao Ronghua Zhu |
author_facet |
Hanqiu Liu King-James Idala Egbe Haipeng Wang Ali Matin Nazar Pengcheng Jiao Ronghua Zhu |
author_sort |
Hanqiu Liu |
title |
A Numerical Study on 3D Printed Cementitious Composites Mixes Subjected to Axial Compression |
title_short |
A Numerical Study on 3D Printed Cementitious Composites Mixes Subjected to Axial Compression |
title_full |
A Numerical Study on 3D Printed Cementitious Composites Mixes Subjected to Axial Compression |
title_fullStr |
A Numerical Study on 3D Printed Cementitious Composites Mixes Subjected to Axial Compression |
title_full_unstemmed |
A Numerical Study on 3D Printed Cementitious Composites Mixes Subjected to Axial Compression |
title_sort |
numerical study on 3d printed cementitious composites mixes subjected to axial compression |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/3bc2a0bd8c474be8b1864cec752fa362 |
work_keys_str_mv |
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