Sensitivity of HMA Performance to Aggregate Shape Measured Using Conventional and Image Analysis Methods

Masad, Eyad; Little, Dallas N.; Sukhwani, Rajni

doi:10.1080/14680629.2004.9689982

Cited by 24 publications

(4 citation statements)

References 3 publications

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“…Additionally, steel slag, characterized by high basicity, rich geometric features and excellent mechanical properties [4], has been justified its feasibility to replace aggregate in road engineering [5,6]. E Masad et al [7] noted that the steel slag has the stronger bonding strength with asphalt binder in comparison to natural aggregates. Moreover, the water damage resistance, as well as the stiffness and fatigue life of steel slag based asphalt mixture also improved due to the vesicular and pitted structure of steel slag [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Study of Toxicity Assessment of Heavy Metals from Steel Slag and Its Asphalt Mixture

Xie

et al. 2020

Materials

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Steel slag has been used widely as an aggregate in road application, but it could pose a contamination risk for the environment due to considerable heavy metals (HMs). To explore the leaching behavior and contamination risk of HMs from steel slag and its asphalt mixture is of great significance. In this study, the physical-chemical features, batch leaching test and semi-dynamic test were conducted to determine the mobility capability and leaching characteristics of HMs. The results show that steel slag presents a low pollution risk in short-term leaching, whereas the cumulative release mass of Cd, Ni, As and Pb are more than or approach the limits, which indicates that steel slag exhibits environment impacts to a certain extent. Steel slag covered with asphalt binder results in As and Cu reduced by 3.64% and 4.83%. Diffusion is the main controlling mechanism of HMs in asphalt mixture and the mobility capability of most HMs were classed as “low mobility” (LI > 8). Asphalt stripping off can aggravate the release potential of HMs from asphalt mixture, but the pollution risk remains controllable.

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Section: Introductionmentioning

confidence: 99%

Study of Toxicity Assessment of Heavy Metals from Steel Slag and Its Asphalt Mixture

Xie

et al. 2020

Materials

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“…To overcome the drawbacks as mentioned, researchers conducted many non-contact measurements which include digital image method, CT(Computed Tomography) scanning, and laser scanning approaches [14][15][16]. For example, Masad E. developed the Aggregate Image Measurement System (AIMS) for capturing profile images of coarse aggregate from all view perspectives [17]. The aggregate morphology evaluation index was simultaneously proposed.…”

Section: Introductionmentioning

confidence: 99%

Assessing Surface Texture Features of Asphalt Pavement Based on Three-Dimensional Laser Scanning Technology

Chen

Xiong

et al. 2021

Buildings

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Pavement surface texture features are one of key factors affecting the skid resistance of pavement. In this study, a set of stable and reliable texture measurement equipment was firstly assembled by using the linear laser ranging sensor, control system and data acquisition system. Secondly, the equipment was calibrated, and the superposition error of sensor and control system was tested by making a standard gauge block. Thirdly, four different kinds of asphalt mixture were designed, and their surface texture features were obtained by leveraging a three-dimensional laser scanner. Therefore, the surface texture features were characterized as one-dimensional profile features and three-dimensional surface features. At the end of this study, a multi-scale texture feature characterization method was proposed. Results demonstrate that the measurement accuracy of the laser scanning system in the x-axis direction can be controlled ranging from −0.01 mm to 0.01 mm, the resolution in the XY plane is 0.05 mm, and the reconstructed surface model of surface texture features can achieve a good visualization effect. They also show that the root mean square deviation of surface profiles of different asphalt pavements fluctuates greatly, which is mainly affected by the nominal particle size of asphalt mixture and the proportion of coarse aggregate, and the non-uniformity of pavement texture distribution makes it difficult to characterize the roughness of asphalt pavement effectively by a single pavement surface profile. This study proposed a texture section method to describe the 3D distribution of road surface texture at different depths. The macrotexture of the road surface gradually changes from sparse to dense starting from the shallow layer. The actual asphalt pavement texture can be characterized by a simplified combination model of “cone + sphere + column”. By calculating the surface area distribution of macro and microtextures of different asphalt pavements, it was concluded that the surface area of asphalt pavement under micro scale is about 1.8–2.2 times of the cutting area, and the surface area of macrotexture is about 1.4 times of the cutting area. Moreover, this study proposed texture distribution density to characterize the roughness of asphalt pavement texture at different scales. The SMA index can represent the macroscopic structure level of different asphalt pavements to a certain extent, and the SMI index can well represent the friction level of different asphalt pavements.

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“…e experimental results demonstrated that steel slag can enhance the performances of asphalt mixture such as high-temperature deformation resistance, abrasion, and skid resistance. Masad et al [27] discovered that the BOF slag has stronger bonding strength with asphalt binder than natural stones. Tao et al [28] grind BOF slag into powder instead of limestone filler.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Volume Stability and Resource Benefit of Basic Oxygen Furnace Slag and Its Asphalt Mixture Based on Field Application

Zhao

Song

Xie

et al. 2021

Advances in Civil Engineering

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Applying basic oxygen furnace (BOF) slag as aggregate in asphalt mixture is continuously investigated due to the increasing shortage of natural aggregate in recent years. However, the negative effect of BOF’s expansion in water greatly limits its further application in pavement construction. To address this problem, this paper studied the volume stability of BOF, and its asphalt mixture relied on actual engineering. The asphalt mixtures contained BOF aggregate was designed by the Marshall method with three different gradation types (AC-16, AC-20, and ATB-25). Besides, both laboratory samples and the core samples from field drilling were investigated in volume expansion rate after curing in a water bath. The economic and resource benefits of BOF replacement of natural aggregates were also analyzed. The results showed that the free calcium oxide content of BOF slag is positively related to the particle sizes. Nevertheless, the expansion rates of both the BOF aggregate and its asphalt mixture were less than 1%, which meant the BOF aggregate applied to the asphalt mixture meets the practical engineering requirements. The maximum allowable free calcium oxide content for large-grain size of steel slag is the smallest; it is also recommended that the expansibility of large-grain steel slag should be the first concern in the application. The resource assessment indicated that the use of steel slag for the construction of a trial section of one kilometer of single lane can save 967 tons of natural aggregates. The economic evaluation showed that the use of steel slag instead of natural aggregates for surface course construction could reduce the investment by 16.87%. The experimental methods and conclusions mentioned in this article provide stable references to enhance the development of sustainable pavement by recycling metallurgical slag in highway construction.

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Sensitivity of HMA Performance to Aggregate Shape Measured Using Conventional and Image Analysis Methods

Cited by 24 publications

References 3 publications

Study of Toxicity Assessment of Heavy Metals from Steel Slag and Its Asphalt Mixture

Study of Toxicity Assessment of Heavy Metals from Steel Slag and Its Asphalt Mixture

Assessing Surface Texture Features of Asphalt Pavement Based on Three-Dimensional Laser Scanning Technology

Evaluation of the Volume Stability and Resource Benefit of Basic Oxygen Furnace Slag and Its Asphalt Mixture Based on Field Application

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