Advancing Construction 3D Printing with Predictive Interlayer Bonding Strength: A Stacking Model Paradigm
To enhance the quality stability of 3D printing concrete, this study introduces a novel machine learning (ML) model based on a stacking strategy for the first time. The model aims to predict the interlayer bonding strength (IBS) of 3D printing concrete. The base models incorporate SVR, KNN, and GPR,...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-02-01
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| Series: | Materials |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1944/17/5/1033 |
| _version_ | 1797264253770530816 |
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| author | Dinglue Wu Qiling Luo Wujian Long Shunxian Zhang Songyuan Geng |
| author_facet | Dinglue Wu Qiling Luo Wujian Long Shunxian Zhang Songyuan Geng |
| author_sort | Dinglue Wu |
| collection | DOAJ |
| description | To enhance the quality stability of 3D printing concrete, this study introduces a novel machine learning (ML) model based on a stacking strategy for the first time. The model aims to predict the interlayer bonding strength (IBS) of 3D printing concrete. The base models incorporate SVR, KNN, and GPR, and subsequently, these models are stacked to create a robust stacking model. Results from 10-fold cross-validation and statistical performance evaluations reveal that, compared to the base models, the stacking model exhibits superior performance in predicting the IBS of 3D printing concrete, with the <i>R</i><sup>2</sup> value increasing from 0.91 to 0.96. This underscores the efficacy of the developed stacking model in significantly improving prediction accuracy, thereby facilitating the advancement of scaled-up production in 3D printing concrete. |
| first_indexed | 2024-04-25T00:25:58Z |
| format | Article |
| id | doaj.art-db6dec2226324878973a620a8841c5fd |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-04-25T00:25:58Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-db6dec2226324878973a620a8841c5fd2024-03-12T16:49:01ZengMDPI AGMaterials1996-19442024-02-01175103310.3390/ma17051033Advancing Construction 3D Printing with Predictive Interlayer Bonding Strength: A Stacking Model ParadigmDinglue Wu0Qiling Luo1Wujian Long2Shunxian Zhang3Songyuan Geng4Poly Changda Engineering Co., Ltd., Guangzhou 510620, ChinaCollege of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, ChinaCollege of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, ChinaPoly Changda Engineering Co., Ltd., Guangzhou 510620, ChinaCollege of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, ChinaTo enhance the quality stability of 3D printing concrete, this study introduces a novel machine learning (ML) model based on a stacking strategy for the first time. The model aims to predict the interlayer bonding strength (IBS) of 3D printing concrete. The base models incorporate SVR, KNN, and GPR, and subsequently, these models are stacked to create a robust stacking model. Results from 10-fold cross-validation and statistical performance evaluations reveal that, compared to the base models, the stacking model exhibits superior performance in predicting the IBS of 3D printing concrete, with the <i>R</i><sup>2</sup> value increasing from 0.91 to 0.96. This underscores the efficacy of the developed stacking model in significantly improving prediction accuracy, thereby facilitating the advancement of scaled-up production in 3D printing concrete.https://www.mdpi.com/1996-1944/17/5/1033intelligent prediction3D printing concreteinterlayer bonding strengthmachine learningstacking strategy |
| spellingShingle | Dinglue Wu Qiling Luo Wujian Long Shunxian Zhang Songyuan Geng Advancing Construction 3D Printing with Predictive Interlayer Bonding Strength: A Stacking Model Paradigm Materials intelligent prediction 3D printing concrete interlayer bonding strength machine learning stacking strategy |
| title | Advancing Construction 3D Printing with Predictive Interlayer Bonding Strength: A Stacking Model Paradigm |
| title_full | Advancing Construction 3D Printing with Predictive Interlayer Bonding Strength: A Stacking Model Paradigm |
| title_fullStr | Advancing Construction 3D Printing with Predictive Interlayer Bonding Strength: A Stacking Model Paradigm |
| title_full_unstemmed | Advancing Construction 3D Printing with Predictive Interlayer Bonding Strength: A Stacking Model Paradigm |
| title_short | Advancing Construction 3D Printing with Predictive Interlayer Bonding Strength: A Stacking Model Paradigm |
| title_sort | advancing construction 3d printing with predictive interlayer bonding strength a stacking model paradigm |
| topic | intelligent prediction 3D printing concrete interlayer bonding strength machine learning stacking strategy |
| url | https://www.mdpi.com/1996-1944/17/5/1033 |
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