Influence of PVA- and PP-Fibers at Different Volume Fractions on Mechanical Properties of 3D Printed Concrete (2019-12)¶
Pham Luong, Lin Xiaoshan, Gravina R.,
Contribution - Proceedings of the 16th East Asian-Pacific Conference on Structural Engineering and Construction, pp. 2013-2024
Abstract
This research primarily aims to investigate the effect of polyvinyl alcohol (PVA) and polypropylene (PP) fibres at different volume fractions of 0.25, 0.5, 0.75 and 1% on mechanical properties of high-performance printing concrete. For concrete without fibres, there is no noticeable discrepancy in the compressive strengths between printed and cast specimens, which are around 90 MPa. In terms of bending resistance, the flexural strength in direction Z (perpendicular to printing direction) is 46% and 15% higher than that in direction X (parallel to printing direction) and that of cast specimen, respectively. For fibre-reinforced concrete, PVA and PP fibres at different contents lead to no positive impact on both compressive and flexural strengths although specimens with PP fibres show less brittle failure in these tests. Based on the experimental investigation, reinforcing printed concrete with PVA and PP fibres with the length of 6 mm might not be recommended. X-ray micro-computed tomography (Micro-CT) measurement is performed for visualization of porosity.
¶
5 References
- Feng Peng, Meng Xinmiao, Chen Jian-Fei, Ye Lieping (2015-06)
Mechanical Properties of Structures 3D Printed with Cementitious Powders - Kazemian Ali, Yuan Xiao, Cochran Evan, Khoshnevis Behrokh (2017-04)
Cementitious Materials for Construction-Scale 3D Printing:
Laboratory Testing of Fresh Printing Mixture - Khoshnevis Behrokh (2003-11)
Automated Construction by Contour Crafting:
Related Robotics and Information Technologies - Le Thanh, Austin Simon, Lim Sungwoo, Buswell Richard et al. (2012-01)
Hardened Properties of High-Performance Printing Concrete - Nerella Venkatesh, Hempel Simone, Mechtcherine Viktor (2019-02)
Effects of Layer-Interface Properties on Mechanical Performance of Concrete Elements Produced by Extrusion-Based 3D Printing
12 Citations
- Iqbal Imtiaz, Kasim Tala, Besklubova Svetlana, Mustafa Ali et al. (2025-12)
Passive Determination of Anisotropic Compressive Strength of 3D Printed Concrete Using Multiple Neural Networks Enhanced with Explainable Machine Learning (XML) - Li Shuai, Corelli Jaide, Tran Jonathan, Fan Linhua (2025-09)
3D Printable Cellulose Concrete:
A Review and Pathway to Future Research - Lu Qianyang, Mei Song, Ateah Ali, Alsubeai Ali et al. (2025-08)
Investigating the Strength Performance of 3D Printed Fiber-Reinforced Concrete Using Applicable Predictive Models - Alizamir Meysam, Kim Sungwon, Ikram Rana, Ahmed Kaywan et al. (2025-06)
A Reliable Hybrid Extreme Learning Machine-Metaheuristic Framework for Enhanced Strength Prediction of 3D-Printed Fiber-Reinforced Concrete - Li Shuai, Liu Junli, Cheng Chi-Tsun, Xuan Hung et al. (2025-06)
Design and Performance of 3D Printed Bouligand Steel Fiber-Reinforced Cementitious Composite Curved Beams - Li Shuai, Khieu Hai, Black Jay, Nguyen Hung-Xuan et al. (2024-12)
Two-Scale 3D Printed Steel-Fiber-Reinforcements-Strategy for Concrete Structures - Arif Muhammad, Jan Faizullah, Rezzoug Aïssa, Afridi Muhammad et al. (2024-11)
Data-Driven Models for Predicting Compressive Strength of 3D Printed Fiber-Reinforced Concrete Using Interpretable Machine Learning Algorithms - Uddin Md, Ye Junhong, Haque M., Yu Kequan et al. (2024-04)
A Novel Compressive Strength Estimation Approach for 3D Printed Fiber-Reinforced Concrete:
Integrating Machine Learning and Gene Expression Programming - Alyami Mana, Khan Majid, Javed Muhammad, Ali Mujahid et al. (2023-12)
Application of Metaheuristic Optimization Algorithms in Predicting the Compressive Strength of 3D Printed Fiber-Reinforced Concrete - Alyami Mana, Khan Majid, Fawad Muhammad, Nawahz R. et al. (2023-11)
Predictive Modeling for Compressive Strength of 3D Printed Fiber-Reinforced Concrete Using Machine Learning Algorithms - Uddin Md, Ye Junhong, Deng Boyu, Li Lingzhi et al. (2023-04)
Interpretable Machine Learning for Predicting the Strength of 3D Printed Fiber-Reinforced Concrete - Li Shuai, Nguyen-Xuan Hung, Tran Jonathan (2022-11)
Digital Design and Parametric Study of 3D Concrete Printing on Non-Planar Surfaces
BibTeX
@inproceedings{pham_lin_grav_tran.2019.IoPaPFaDVFoMPo3PC,
author = "Luong Pham and Xiaoshan Lin and R. J. Gravina and Jonathan Phuong Tran",
title = "Influence of PVA- and PP-Fibers at Different Volume Fractions on Mechanical Properties of 3D Printed Concrete",
doi = "10.1007/978-981-15-8079-6_185",
year = "2019",
volume = "101",
pages = "2013--2024",
booktitle = "Proceedings of the 16th East Asian-Pacific Conference on Structural Engineering and Construction",
editor = "Chien Ming Wang and Vinh Dao and Sritawat Kitipornchai",
}
Formatted Citation
L. Pham, X. Lin, R. J. Gravina and J. P. Tran, “Influence of PVA- and PP-Fibers at Different Volume Fractions on Mechanical Properties of 3D Printed Concrete”, in Proceedings of the 16th East Asian-Pacific Conference on Structural Engineering and Construction, 2019, vol. 101, pp. 2013–2024. doi: 10.1007/978-981-15-8079-6_185.
Pham, Luong, Xiaoshan Lin, R. J. Gravina, and Jonathan Phuong Tran. “Influence of PVA- and PP-Fibers at Different Volume Fractions on Mechanical Properties of 3D Printed Concrete”. In Proceedings of the 16th East Asian-Pacific Conference on Structural Engineering and Construction, edited by Chien Ming Wang, Vinh Dao, and Sritawat Kitipornchai, 101:2013–24, 2019. https://doi.org/10.1007/978-981-15-8079-6_185.