Old Asphalt Road Surface Mixture of Cold Regeneration Research Laboratory Test

Wei, Lian Yu; Yang, Zheng Long; Qian, Hao; Wang, Qing Zhou

doi:10.4028/www.scientific.net/amm.178-181.1357

Cited by 2 publications

(3 citation statements)

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“…4. Vehicles consist of metal [43], whereas the roads in the background are made of asphalt [44]. Since the specific heat capacity of metal is lower than that of asphalt, the temperature change of a vehicle is larger than that of the road surface in the same period [45].…”

Section: Cross-modal Vehicle Index In the Spatial Weight Modulementioning

confidence: 99%

Vehicle Detection Based on Adaptive Multimodal Feature Fusion and Cross-Modal Vehicle Index Using RGB-T Images

Guan

Zhao

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Target detection is a critical task in interpreting aerial images. Small target detection, such as vehicles, is challenging. Different lighting conditions affect the accuracy of vehicle detection. For example, vehicles are difficult to distinguish from the background in RGB images under low illumination conditions. In contrast, under high illumination conditions, the color and texture of vehicles are not significantly different in thermal infrared (TIR) images. To improve the accuracy of vehicle detection under various illumination conditions, we propose an adaptive multi-modal feature fusion and cross-modal vehicle index (AFFCM) model for vehicle detection. Based on the single-stage object detection model, AFFCM uses red, green, blue, and thermal infrared (RGB-T) images. It comprises three parts: 1) the softpooling channel attention (SCA) mechanism calculates the cross-modal feature weights of the RGB and TIR features using a fully connected layer during global weighted pooling. 2) We design a multi-modal adaptive feature fusion (MAFF) module based on the cross-modal feature weights derived from the SCA mechanism. The MAFF selects features with high weight, compresses redundant features with low weight, and performs adaptive fusion using a multi-scale feature pyramid. 3) A crossmodal vehicle index is established to extract the target area, suppress complex background information, and minimize false alarms in vehicle detection. The mean average precision (mAP) on the Drone Vehicle dataset are 14.44% and 5.02% higher than those obtained using only RGB or TIR images. The mAP is 2.63% higher than that of state-of-the-art (SOTA) methods that utilize RGB and TIR images.

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Section: Cross-modal Vehicle Index In the Spatial Weight Modulementioning

confidence: 99%

Vehicle Detection Based on Adaptive Multimodal Feature Fusion and Cross-Modal Vehicle Index Using RGB-T Images

Guan

Zhao

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…Z. F. Wu et al believed that the revised Marshall compaction method was the focus of researching, the modified Marshall compaction method generally divides the compaction of the specimens into two parts, the first time is carried out after the mixture is put into the mold, and the second time is carried out after curing in the mold of the specimens for a period of time, and the influence of the curing method on the specimens is mainly researched [17]. Z. G. Li et al used vibration compaction, static pressure compaction, Marshall compaction and rotary compaction specimens to compare and analyze the mechanical strength of the mixture of different compaction methods [18].Although the cold recycling technology of RAP materials have been studied abroad, there is still a lack of research on the accurate evaluation on the residual strength characteristics of RAP materials, the compaction methods of cold recycled mixtures, as well as the effects of composite proportion on the performances [19]. So, this paper focuses on the basic composition and performance evaluation of RAP materials, especially the residual strength characteristics.…”

mentioning

confidence: 99%

“…Although the cold recycling technology of RAP materials have been studied abroad, there is still a lack of research on the accurate evaluation on the residual strength characteristics of RAP materials, the compaction methods of cold recycled mixtures, as well as the effects of composite proportion on the performances [19]. So, this paper focuses on the basic composition and performance evaluation of RAP materials, especially the residual strength characteristics.…”

mentioning

confidence: 99%

Performance Evaluation of Recycled Asphalt Pavement Materials and Cold Recycling Mixtures Designed with Vibratory Compaction Method

et al. 2019

Applied Sciences

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In this paper, the basic composition and performance evaluation of the recycled asphalt pavement (RAP) materials were firstly analyzed, and two methods were proposed to evaluate strength characteristics of RAP materials, including a triaxial method for the residual strength and the mortar cementing method for the strength of RAP lump. Then, the cold recycling technology was applied on RAP materials with emulsified asphalt by using vibratory compaction and heavy-duty compaction methods (Proctor compaction method), and the results showed that the maximum dry density obtained by heavy-duty compaction was closer to the actual situation. Finally, the effects of wetting water, emulsified asphalt dosage and curing conditions on the performance of the specimens were investigated. It was found that when the emulsified asphalt was mixed uniformly, whether or not to add the wetting water have almost no effect on the strength of the molded specimens. When the matrix asphalt content of the emulsified asphalt was 30%~60%, the water could be directly added to the cold recycling mixture. The intensity of accelerated curing for two days at 40 • C was approximately equal to that of natural curing for three days, while that of accelerated curing for three days at 40 • C was approximately equal to that of natural curing for seven days, which provided a basis for the short-term laboratory test. emulsion content, aggregate properties, coating and adhesion tests. Strength testing mainly refer to the indirect tensile strength test, in addition to resistance, moisture-induced damage sensitivity test and rutting test [7]. A. Widayanti et al. used SEM imaging technology to observe the morphology and surface texture of the RAP materials [8]. Also, Y. N. Li et al. evaluated the effects of emulsified asphalt and cement on the porosity, indirect tensile strength, tensile strength ratio, dynamic stability and mechanical properties of RAP materials [9]. X. Zhang made an in-depth research on the RAP materials treatment process from four aspects: Method of recycling RAP materials, selection of crushing equipment, old material screening process, storing and testing [10]. F. Ye et al. researched the layered aging regulation of asphalt stratification on the surface of RAP materials [11]. T. Ma et al. researched the effects of aging properties in asphalt on the performance of 48 RAP materials by measuring the low temperature performance of mortar with bending beam 49 rheometer (BBR) [12].However, there has not been a uniform conclusion on the research of RAP materials compaction methods abroad. Some of the compaction methods are mainly selected according to different design methods of recycling asphalt mixtures. Generally, the Marshall compaction method is used to mold specimens for the Marshall design method. The kneading method is used for Hveem method. The gyratory compaction method is used for Superpave design method, which is more popular in the U.S. and Sweden [13][14][15].H. Y. Wei et al. used the method of vibration compaction specimens and de...

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Old Asphalt Road Surface Mixture of Cold Regeneration Research Laboratory Test

Cited by 2 publications

References 0 publications

Vehicle Detection Based on Adaptive Multimodal Feature Fusion and Cross-Modal Vehicle Index Using RGB-T Images

Vehicle Detection Based on Adaptive Multimodal Feature Fusion and Cross-Modal Vehicle Index Using RGB-T Images

Performance Evaluation of Recycled Asphalt Pavement Materials and Cold Recycling Mixtures Designed with Vibratory Compaction Method

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