Abstract
Background: The cracking load is an important parameter in the design and testing of beam structures according to the recent patents. Compared to ordinary concrete, recycled aggregate concrete components are more prone to cracking.
Methods: In this paper, the calculation method and the size effect of the cracking load for the recycled aggregate concrete beam were studied. Four recycled aggregate concrete beams with different sizes were tested by the four-point bending experiment to obtain their cracking loads. According to the comparison of the tested values and the calculated values by two existing methods, it was found that the existing calculation methods are only suitable for small-sized beam specimens. The main reason for the calculation error lies in the fact that the existing calculation method does not consider the size effect of tensile strength of recycled aggregate concrete.
Results: It is very necessary to modify the existing formulas to calculate the cracking load more accurately for large-size beam specimens. Therefore, this paper presents an improved formula for the cracking load calculation by considering the size effect. The calculated results obtained by the proposed method are closer to the test values than those obtained by the original methods.
Conclusion: It has been shown that it is necessary and reasonable to consider the size effect in the calculation of the cracking load of the recycled aggregate concrete beam.
Keywords: Recycled aggregate concrete, beam structure, cracking load, size effect, demolition, waste concrete.
Graphical Abstract
Call for Papers in Thematic Issues
Advanced Experimental, Computational Fluid Dynamics and Intelligent Computing Techniques on Complex Multiphase Flow Problems
Computational fluid dynamics (CFD) and Intelligent computing are very emerging technology in various industrial applications. Multiphase flow problems are very dominant in hydro as well as power plants, mining, marine, cementing, food processing, and ore-processing industries. Multiphase flows include gas-solid as well as liquid-solid flows. The solid like ores, ash, ...read more
Advanced materials for energy production, transmission, and utilization
Hydrogen storage and production materials: Developing high-performance hydrogen generation and storage materials, as well as researching the mechanism of hydrogen-material interaction. The emphasis for supercapacitors is on carbon-based materials derived from various biomass carbonization methods, as well as carbon-containing electrode materials such as metal sulfide, oxides, and other similar compounds. ...read more
Advancements in Machine Learning for Medical Applications in Material Science
The fusion of machine learning with medical applications and material science has ushered in a new era of innovation, offering transformative solutions to complex healthcare challenges. "Advancements in Machine Learning for Medical Applications in Material Science," a special issue, serves as a crucible for exploring the remarkable synergy between these ...read more
Computational Methods in Engineering
In recent decades, computational methods have revolutionized the field of engineering, playing a pivotal role in enhancing efficiency, accuracy, and innovation across various disciplines. This proposed thematic issue aims to explore and showcase the latest advancements, challenges, and applications of computational methods in engineering. As technology continues to evolve, computational ...read more
Related Books
Intelligent Technologies for Automated Electronic Systems
Modern Radio Signals Filtering Devices Methods, Technologies, & Structures
Functional Bio-based Materials for Regenerative Medicine: From Bench to Bedside (Part 2)
Mechanical Engineering Technologies and Applications
Multistage Interconnection Network Design for Engineers
Mechanical Engineering Technologies and Applications
Semi-rotary and Linear Actuators for Compressed Air Energy Storage and Energy Efficient Pneumatic Applications
Waste Valorization for Value-added Products
One-Dimensional Transient Flow in Pipelines Modelling and Simulation
Principles of Automation and Control
22