Statistical analysis on the fracture behavior of rubberized steel fiber reinforced recycled aggregate concrete based on acoustic emission

Xu, Jie; Chang, Fujie; Bai, Jitao; Liu, Chongyang

doi:10.1016/j.jmrt.2023.05.124

Cited by 25 publications

(4 citation statements)

References 86 publications

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“…According to a survey conducted by Tianjin Municipal Engineering Design & Research Institute, the monitoring system is the main source of energy consumption in a smart utility tunnel, which accounts for around 68.8% of the total energy consumption. The biggest consumer is the building sector which uses quite a large amount of world energy [42][43][44], and it is of great significance to reduce such consumption to achieve the goal of sustainable development. However, the issue cannot be simply addressed simply by using less cameras or shortening the duration of operation, as the monitoring coverage should also be considered so that the tunnel fires can be detected in time.…”

Section: Introductionmentioning

confidence: 99%

Risk and Energy Based Optimization for Fire Monitoring System in Utility Tunnel Using Cellular Automata

Zhang,

Bai,

Diao

et al. 2024

Sustainability

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Fire is one of the biggest threats to the safety of utility tunnels, and establishing camera-based monitoring systems is conducive to early fire finding and better understanding of the evolution of tunnel fires. However, conventional monitoring systems are being faced with the challenge of high energy consumption. In this paper, the camera operation in a utility tunnel was optimized considering both fire risk and energy consumption. Three design variables were investigated, namely the camera sight, the number of cameras in simultaneous operation, and the duration of camera operation. Cellular automata were used as a simple but effective method to simulate the spread of fire in a utility tunnel. Results show that as the number of cameras in simultaneous operation increases, the probability of fire capture also increases, but the energy consumption decreases. A shorter duration of camera operation can lead to a higher probability of fire capture, and meanwhile, lower energy consumption. For the duration of camera operation shorter than or equal to the allowable time, the probability of fire capture is significantly higher than that for the duration longer than the allowable time. Increasing the camera sight will significantly increase the probability of fire capture and lower the total energy consumption when a blind monitoring area exists. The total energy consumption of a camera-based monitoring system roughly satisfies hyperbolic correlation with the duration of camera operation, while the probability of fire capture can be predicted based on the number of cameras in simultaneous operation through a power model. The optimal design for the modeled tunnel section is two cameras in simultaneous operation with a tangent monitoring area. The duration of camera operation should be as short as possible, at least shorter than the allowable time. The study is expected to provide a reference for the sustainable design of energy-saving utility tunnels with lower fire risk.

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Section: Introductionmentioning

confidence: 99%

Risk and Energy Based Optimization for Fire Monitoring System in Utility Tunnel Using Cellular Automata

Zhang,

Bai,

Diao

et al. 2024

Sustainability

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“…Bai et al [ 31 ] used AE technology to reveal the concrete deterioration mechanism at various temperatures through ringing counts and b -values. Xu et al [ 32 ] investigated the fracture behavior of rubberized steel fiber (SF) recycled aggregate concrete using AE parameters based on the rise angle (RA) and average frequency (AF). Zhang et al [ 33 ] demonstrated the feasibility of using information entropy analysis to track the initial cracking process of concrete shear walls.…”

Section: Introductionmentioning

confidence: 99%

Effect of Composition Characteristics on Mechanical Properties of UHPMC Based on Response Surface Methodology and Acoustic Emission Monitoring

Chen,

Jiao,

Xiao

et al. 2024

Materials

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Manufactured sand (MS) is a promising alternative aggregate to quartz sand (QS) in ultra-high-performance concrete (UHPC) in the preparation of ultra-high-performance manufactured sand concrete (UHPMC), which possesses the characteristics of high strength, low cost, and environmental friendliness. In this study, the effects of variable compositional characteristics including the water–binder ratio, the stone powder (SP) content, and the MS replacement ratio on the mechanical and flexural strength of UHPMC were compared and analyzed based on response surface methodology (RSM). Meanwhile, the damage characteristics of UHPMC during compressive and flexural stress were monitored and evaluated using acoustic emission (AE) technology. The results reveal that the compressive and flexural strengths of UHPMC are both negatively correlated with the water–binder ratio, while they are positively correlated with the MS replacement rate. They tend to firstly increase and subsequently decrease with the increase in the stone powder content. In the load–displacement curve of concrete with a high MS replacement ratio and a low water–binder ratio, the slope in the elastic stage is steeper, the stiffness is higher, and the bending toughness and ductility are also better. The specimens with a 10% to 0% stone powder content present a steeper elastic phase slope, a slightly higher stiffness, and superior ductility. The specimens with a low MS replacement ratio and a high water–binder ratio display earlier cracking and weaker resistance, and the destruction process is complex and very unstable. The damage mode analysis based on RA-AF shows that an increase in the MS replacement ratio and a decrease in the water–binder ratio can both reduce the tensile cracking of UHPMC specimens under a four-point bending test. Although 10% stone powder can marginally slow down crack growth, the failure mode is not significantly affected.

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“…Actually, the shear properties are the most basic and important mechanical properties for geotechnical materials [ 35 ]. Moreover, using L-Asp in sand reinforcement instead of cement can significantly promote the sustainable development goals of the construction industry concerning lower carbon emissions and energy consumption [ 36 , 37 ]. In this study, L-Asp was introduced into sand reinforcement through a newly developed technique of biomimetic carbonate precipitation (BCP) [ 38 ].…”

Section: Introductionmentioning

confidence: 99%

A Simplified Model for Shear Behavior of Mortar Using Biomimetic Carbonate Precipitation

et al. 2023

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As a common molecule in biomineralization, L-aspartic acid (L-Asp) has been proven to be able to induce in vitro CaCO3 precipitation, but its application in sand reinforcement has never been studied. In this study, L-Asp was employed in sand reinforcement for the first time through the newly developed biomimetic carbonate precipitation (BCP) technique. Specimens with different number of BCP spray cycles were prepared, and a series of direct shear tests were conducted to investigate the impact of spray number on shear strength, critical displacement, and residual strength. Then a simplified power model for shear stress–displacement behavior was established and calibrated with the measured data. The results show that BCP can significantly improve the shear strength of sand. As the number of spray cycles increases, both the shear strength and residual strength increase, while the critical displacement decreases. Such variations can be described with two sigmoid models and a linear model, respectively. The simplified power model performs well in most cases, especially at higher spray numbers. This study is expected to provide a practical model for the shear behavior of BCP-treated mortar.

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Statistical analysis on the fracture behavior of rubberized steel fiber reinforced recycled aggregate concrete based on acoustic emission

Cited by 25 publications

References 86 publications

Risk and Energy Based Optimization for Fire Monitoring System in Utility Tunnel Using Cellular Automata

Risk and Energy Based Optimization for Fire Monitoring System in Utility Tunnel Using Cellular Automata

Effect of Composition Characteristics on Mechanical Properties of UHPMC Based on Response Surface Methodology and Acoustic Emission Monitoring

A Simplified Model for Shear Behavior of Mortar Using Biomimetic Carbonate Precipitation

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