Affiliation:
1. Materials and Structures Innovation Group, School of Engineering, The University of Western Australia, Crawley, WA 6009, Australia
Abstract
This paper aims to explore the structural performance of 3D-printed and casted cement-based steel-reinforced concrete beams and one-way slabs incorporating short carbon fibre and activated carbon powder, which have been shown to enhance concrete’s flexural strength and reduce its electrical resistivity. The samples are cast and printed in 250 × 325 × 3500 mm beams and 150 × 400 × 3500 mm one-way slabs and mechanical, electrical, and piezoresistivity properties were measured. This length of beams and one-way slabs with rebars have been considered as they can magnify the flexural and cracking behaviour and make them easier to be monitored and analysed. The samples were loaded up to 80% of maximum stress. Crack propagation and strain was assessed using the 2D digital image correlation (DIC) method. The results compared samples under continuously increasing loads between 3D-printed and cast samples. The 3D-printed composites had a better piezoresistive response due to the enhanced anisotropic behaviour. DIC analysis illustrated similar results among different samples, while 3D-printed blocks had lower cracking performance due to the horizontal case fracture in lower stress.
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference29 articles.
1. Konkanov, M., Salem, T., Jiao, P., Niyazbekova, R., and Lajnef, N. (2020). Environment-Friendly, Self-Sensing Concrete Blended with Byproduct Wastes. Sensors, 20.
2. Embedded piezoresistive cement-based stress/strain sensor;Han;Sens. Actuators A Phys.,2007
3. Nondestructive Evaluation of Rebar Corrosion–Induced Damage in Concrete through Ultrasonic Imaging;Ghosh;J. Mater. Civ. Eng.,2020
4. Digital Imaging Techniques In Experimental Stress Analysis;Peters;Opt. Eng.,1982
5. A study of stationary crack-tip deformation fields in thin sheets by computer vision;Han;Exp. Mech.,1994