Abstract
Intelligent compaction,as a new type of road construction quality monitoring and management technology,has been widely used in the compaction process of asphalt pavement.However,due to the lack of understanding of the compaction process and the interaction mechanism between asphalt mixture particles,the problems of over-compaction and non-uniformity of compaction often occur in the actual construction,which seriously affects the quality of road construction and service performance.In this study,through the combination of the engineering field and indoor tests,the variation characteristics of asphalt mixture compaction with the number of compaction were analyzed by using the semi-variance function of the geostatistical model,and the effect of temperature on the mixture compaction was discussed.Moreover,through the indoor gyratory compactor and SmartRock sensor,the force and rotational angle characteristics of mixture particles were revealed from the fine scale under different compaction temperatures.The results show that the size and uniformity of compaction are not always positively correlated with the number of compaction.Over-compaction may result in lower compaction and uniformity.Meanwhile,the variation of field compaction temperature has a significant effect on the compaction of mixtures.At higher temperatures,the compaction of the asphalt mixture increases faster,and the final compaction uniformity is higher.Through the quantitative study of the fine-scale response of the mixture by considering the force and rotational angle characteristics by SmartRock sensor,it is found that the dynamic response within the mixture can directly reflect the asphalt mixture compaction changes,and the temperature change and compaction effect do not always show a positive correlation.Only in the appropriate temperature range,the asphalt mixture can achieve the best compaction effect.
Publication Date
7-30-2024
DOI
10.14048/j.issn.1671-2579.2024.04.006
First Page
47
Last Page
55
Submission Date
February 2025
Recommended Citation
Huifang, ZHU and Liang, WANG
(2024)
"Intelligent Compaction of Asphalt Pavement and Its Key Influencing Factors,"
Journal of China & Foreign Highway: Vol. 44:
Iss.
4, Article 6.
DOI: 10.14048/j.issn.1671-2579.2024.04.006
Available at:
https://zwgl1980.csust.edu.cn/journal/vol44/iss4/6
Reference
[1]林锦腾 ,祝轩 .沥青路面压实过程均匀性评价与影响因素分析 [J].中外公路 ,2021 ,41(2): 48-53.LIN Jinteng ,ZHU Xuan .Uniformity evaluation and influence factor analysis of asphalt pavement in compaction process [J].Journal of China & Foreign Highway ,2021 ,41(2): 48-53.
[2]王玉林 ,徐宁 ,卢东 .提升沥青路面抗水损害能力措施综述[J].中外公路 ,2022 ,42(1): 66-72.WANG Yulin ,XU Ning ,LU Dong .Summary of measures to improve water damage resistance of asphalt pavement [J].Journal of China & Foreign Highway ,2022 ,42(1): 66-72.
[3]黄国卿 ,严筱 ,杨永刚 ,等.智能压实间接指标试验分析与压实度预测 [J].中外公路 ,2020 ,40(2): 24-28.HUANG Guoqing ,YAN Xiao ,YANG Yonggang ,et al .Intelligent compaction indirect indicators test analysis and compactness prediction [J].Journal of China & Foreign Highway ,2020 ,40(2): 24-28.
[4]黄克峰 ,廉杨 ,王景辉 ,等.高速公路粉土路基填料结构特性三轴试验研究 [J].中外公路 ,2022 ,42(1): 206-210.HUANG Kefeng ,LIAN Yang ,WANG Jinghui ,et al.Triaxial compression test study on structural characteristics of powdered road base fillings [J].Journal of China & Foreign Highway ,2022 ,42(1): 206-210.
[5]DAN H C ,YANG D ,LIU X ,et al .Experimental investigation on dynamic response of asphalt pavement using SmartRock sensor under vibrating compaction loading [J].Construction and Building Materials ,2020 ,247: 118592 .
[6]XU Q W ,CHANG G K ,GALLIVAN V L ,et al .Influences of intelligent compaction uniformity on pavement performances of hot mix asphalt [J].Construction and Building Materials ,2012 ,30: 746-752.
[7]LIU H ,DUAN G ,WANG F ,et al .Numerical simulation of effect of reclaimed asphalt pavement on damage evolution behavior of self-compacting concrete under compressive loading [J].Construction and Building Materials ,2023 ,395:132323 .
[8]CHEN J S ,HUANG B S ,SHU X ,et al .DEM simulation of laboratory co mpaction of asphalt mixtures using an open source code [J].Journal of Materials in Civil Engineering ,2015 ,27(3): 04014130 -04014139 .
[9]LIU D H ,LI Z L ,LIAN Z H .Compaction quality assessment of earth-rock dam materials using roller-integrated compaction monitoring technology [J].Automation in Construction ,2014 ,44: 234-246.
[10]FOSU-SAAH B ,HAFEZ M ,KSAIBATI K .A review of accelerated pavement testing applications in non-pavement research [J].Civileng ,2021 ,2(3):612-631.
[11]马涛 ,马源 ,黄晓明 .基于多元非线性回归的智能压实关键参数最优解 [J].吉林大学学报 (工学版 ),2023 ,53(7):2067 -2077 .MA Tao ,MA Yuan ,HUANG Xiaoming .Optimal combination of key parameters of intelligent compaction based on multiple nonlinear regression [J].Journal of Jilin University (Engineering and Technology Edition ),2023 ,53(7):2067 -2077 .
[12]WANG X ,SHEN S H ,HUANG H ,et al.Characterization of particle movement in superpave gyratory compactor at meso-scale using SmartRock sensors [J].Construction and Building Materials ,2018 ,175:206-214.
[13]FU L L ,TIAN Z K ,ZHOU S H ,et al .Characterization of ballast particle ’s movement associated with loading cycle ,magnitude and frequency using SmartRock sensors [J].Granular Matter ,2020 ,22(3): 63.
[14]WANG X ,SHEN S H ,HUANG H ,et al .Towards smart compaction :Particle movement characteristics from laboratory to the field [J].Construction and Building Materials ,2019 ,218:323-332.
[15]张争奇 ,边秀奇 ,杜群乐 ,等.沥青混合料压实特性影响因素研究 [J].武汉理工大学学报 ,2012 ,34(6): 36-41.ZHANG Zhengqi ,BIAN Xiuqi ,DU Qunle ,et al .Study on factors effecting on compaction property of asphalt mixture [J].Journal of Wuhan University of Technology ,2012 ,34(6): 36-41.
[16]臧芝树 ,赵宾 ,申爱琴 .半温拌泡沫沥青混合料水稳定性及压实特性研究 [J].中外公路 ,2019 ,39(1): 261-266.ZANG Zhishu ,ZHAO Bin ,SHEN Aiqin .Study on moisture resistance and compaction characteristics of foamed asph alt mixture based on half-warm mix technology [J].Journal of China & Foreign Highway ,2019 ,39(1): 261-266.
[17]谭波,杨涛 .基于振动旋转压实制样方式骨架密实型大粒径级配碎石性能研究 [J].中外公路 ,2022 ,42(5): 161-167.TAN Bo ,YANG Tao .Research properties of skeleton-density large graded macadam based on gyratory and vibration compaction [J].Journal of China & Foreign Highway ,2022 ,42(5): 161-167.
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