Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (6): 1375-1385.doi: 10.13229/j.cnki.jdxbgxb20210062

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Dynamic modulus of porous asphalt concrete and its prediction model

Zhao-yi HE1(),Jin-feng LI1,Wen ZHOU2,Zhi-tao GUAN1   

  1. 1.School of Civil Engineering，Chongqing Jiaotong University，Chongqing 400074，China
    2.Guangxi Communications Investment Group Corporation Ltd. ，Nanning 530022，China
  • Received:2021-01-22 Online:2022-06-01 Published:2022-06-02

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Abstract:

The dynamic modulus of dense gradation asphalt mixture AC-13， stone mastic asphalt SMA-13 and six kinds of porous asphalt concrete （PAC-16， PAC-13a， PAC-13b， PAC-13c， PAC-10 and PAC-5） were tested at different temperatures and different loading frequencies. The dynamic modulus of asphalt mixture are respectively increased with the loading frequency increasing and decreased with temperature increasing， and the changing amplitudes are both gradually reduced. Compared with PAC-13b with 20.3% void content， the average values of 196.8% and 125.1% increase in dynamic modulus for SBS asphalt AC-13 and SMA-13，respectively. For the porous asphalt mixtures with closely void content， a slightly reduction of dynamic modulus is observed for porous asphalt mixture with the increase of nominal maximum particle size. When the mixtures have same the nominal maximum particle size， the dynamic modulus of porous asphalt mixture is increased about 15.8% with the reduction of void content 1%. According to the time-temperature superposition principle， the expression of the shift factor is established to describe the effect of temperature， and the master curves of different asphalt mixtures are modeled， calculated and plotted by Sigmoidal function. Various factors， such as loading frequency， testing temperature， asphalt binder viscosity， volumetric properties of asphalt mixture and aggregate gradation， are considered to develop the predictive dynamic modulus equation for different asphalt mixture. The results show that the predicted values are in good agreement with the measured results， indicating that the predicted dynamic modulus model can be applied in structure design and analysis of asphalt pavement.

Key words: civil engineering, porous asphalt concrete, dynamic modulus, temperature-time dependent, master curve, prediction model

CLC Number: 

  • U414

Fig.1

Aggregate gradation composition of asphalt mixtures"

Fig.2

Prepared specimens"

Fig.3

Dynamic modulus measuring instrument"

Fig.4

Phase lag between sinusoidal stressand recoverable strain"

Fig.5

Relationship between dynamic modulus and loading frequency under different temperatures"

Fig.6

Relationship between dynamic modulus and temperature under different loading frequencies"

Fig.7

Compared with PAC-13， the increase rate of dynamic modulus of AC-13 and SMA-13 mixtures"

Fig.8

Compared with PAC-5， the increase rate of dynamic modulus of PAC-10， PAC-13b and PAC-16 mixtures"

Fig.9

Compared with PAC-13c， the increase rateof dynamic modulus of PAC-13a andPAC-13b mixtures"

Fig.10

Dynamic modulus of 70# and SBS modifiedasphalt AC-13 mixtures under loadingfrequencies of 10 Hz"

Fig.11

Compared with 70# asphalt， the increaserate of dynamic modulus of SBS modifiedasphalt AC-13 mixtures"

Table 1

Constant coefficient of dynamic master curves"

级配类型δαβγbR2
70#沥青AC-131.8042.853-0.3547-0.53210.31280.9980
SBS沥青AC-132.1082.519-0.2656-0.52030.30340.9993
SMA-132.0762.487-0.1469-0.51280.29360.9993
PAC-161.2303.142-0.3875-0.47240.32600.9995
PAC-13a1.2993.197-0.4899-0.40930.32230.9994
PAC-13b1.1653.161-0.4101-0.48600.29160.9996
PAC-13c1.0753.083-0.4273-0.50560.28970.9998
PAC-101.1573.019-0.4005-0.47050.31410.9992
PAC-51.1563.085-0.4384-0.44530.30710.9994

Fig.12

Dynamic modulus master curves of differentasphalt mixture"

Fig.13

Comparison between the measured andpredicted dynamic modulus fordifferent asphalt mixture"

Fig.14

Comparison between the measured and thepredicted dynamic modulus for reported in other literatures"

1 陈俊, 姚成, 周若愚, 等. 多孔沥青混合料渗水性能的方向差异性及其受空隙结构的影响[J]. 东南大学学报:自然科学版, 2018, 48(5): 920-926.
Chen Jun, Yao Cheng, Zhou Ruo-yu, et al. Directional differentce of water permeability of porous asphalt mixture and influence of pore structure[J]. Journal of Southeast University (Natural Science Edition), 2018, 48(5): 920-926.
2 Chu L, Fwa T F, Tan K H. Eveluation of wearing course mix designs on sound absorption improvement of porous asphalt pavement[J]. Construction and Building Materials, 2017, 141: 402-409.
3 Zhang Y, Wang L, Zhang W, et al. Modified dynamic modulus test and customised prediction model of asphalt-treated drainage layer material for M-E pavement design[J]. International Journal of Pavement Engineering, 2016, 17(9): 818-828.
4 Loulizt A, Al-Qadi I L, Elseifi M. Difference between in situ flexible paavement measure and calculated stresses and strains[J]. Journa of Transportation Engineering, 2006, 132(7): 574-579.
5 Lee J, Moon S J, Im J, et al. Evaluation of moisture susceptibility of asphalt mixtures using dynamic modulus[J]. Journal of Testing and Evaluation, 2017, 45(4): No. 20150136.
6 Akbarzadeh H, Bayat A, Soleymani H R. Analytical review of the HMA temperature correction factors from laboratory ans falling weight deflectometer tests[J]. International Journal of Pavement Research and Technology, 2012, 5(1): 30-39.
7 Zhang Y, Luo R, Lytton R L. Characterizing permanent deformation and fracture of asphalt mixture by using compressive dynamic modulus tests[J]. Journal of Materials in Civil Engineering, 2012, 24(7): 898-906.
8 Cho Y H, Park D W, Hwang S D. A predictive equation for dynamic modulus of asphalt mixture used in Korea[J]. Construction and Building Material, 2010, 24(4): 513-519.
9 Irfan M, Waraich A S, Ahmed S, et al. Characterization of various plant-ptoduced asphalt concrete mixture using dynamic modulus test[J]. Advances in materials Science and Engineering, 2016, 14(2):1-12.
10 Weldegiorgis M T, Tarefder R A. Prescision study for dynamic modulus testing of asphalt concrete using independent assurance testing[J]. Journal of Materials in Civil Engineering, 2015, 27(3):04014133.
11 Wen Y, Wang Y. Effect of oxidative aging on dynamic modulus of hot-mix asphalt mixture[J]. Journal of Materials in Civil Engineering, 2019, 31(1): 1-15.
12 Nobakht M, Sakhaeifar M S. Dynamic modulus and phase angel prediction of laboratory aged asphalt mixtures[J]. Construction and Building Materials, 2018, 190: 740-751.
13 Arefin S, Quasem T, Nazzal M, et al. Accuracy of MEPDG dynamic modulus predictions for short-term and long-term aged asphalt mixtures[J] Journal of Transportation Engineering, Part B: 2019, 145(3): No. 04019025.
14 张金喜, 姜凡, 王超, 等. 室内外老化沥青混合料动态模量评价[J]. 建筑材料学报, 2017, 20(6): 937-942.
Zhang Jin-xi, Jiang Fan, Wang Chao, et al. Dynamic modulus evaluation of indoor and outdoor aging aspahalt mixture[J]. Journal of Building Materials, 2017, 20(6): 937-942.
15 Zhao Y, Tang J, Liu H. Construction of triaxial dynamic modulus master curve for aspahtl mixtures[J]. Construction and Building Materials, 2012, 37: 21-26.
16 Nguyen T H, Ahn J, Lee J, et al. Dynamic modulus of porous asphalt and the effect of moisture conditioning[J]. Materials, 2019, 12(8): No.1230.
17 Ruan L, Luo R, Hu X, et al. Effect of bell-shaped loading and haversine loading on the dynamic modulus and resilient modulus of asphalt mixtures[J]. Construction and Building Materials, 2018, 161: 124-131.
18 Al-Adham K, Baig M G, Wahhab H A A. Prediction of dynamic modulus for elstomer-modified asphalt concrete mixes at desert environment[J]. Arabin Journal for Science and Engineering, 2019, 44: 4141-4149.
19 谭忆秋, 傅锡光, 马韶军, 等. 基于无约束共振法沥青混合料动态模量试验研究[J]. 土木工程学报, 2015, 48(12): 116-122.
Tan Yi-qiu, Fu Xi-guang, Ma Shao-jun, et al. Experimental study on dynamic modulus of asphalt mixture based on free-free resonant test[J]. China Civil Engineering Journal, 2015, 48(12): 116-122.
20 吴浩, 张久鹏, 王秉刚. 多孔沥青混合料空隙特征与路用性能关系[J]. 交通运输工程学报, 2010, 10(1): 1-5.
Wu Hao, Zhang Jiu-peng, Wang Bing-gang. Relationship between characteristic of void and road performance of porous asphalt mixture[J], Journal of Traffic and Transportation Engineering, 2010, 10(1): 1-5.
21 公路沥青路面施工技术规范 [S].
22 . 公路工程沥青及沥青混合料试验规程 [S].
23 AA . Standard test method for determining the dynamic modulus of hot-mix asphalt[S].
24 Mirza MW, Witczak M W. Development of a global aging system for shaor and long term aging of asphalt cement[J]. Journal of Associate Asphalt Pavement Technology, 1995, 64: 393-430.
25 Zhao S, Liu J, Li P, et al. Dynamic modulus characterization of Alaskan asphalt mixtures for mechanistic-empirical pavement design[J]. Journal of Materials in Civil Engineering, 2017, 29(11):No. 04017213.
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