重庆交通大学 土木工程学院,重庆,400074
纸质出版:2022
移动端阅览
李金凤, 何兆益, 官志桃. 多孔沥青混合料矿料间隙率物理模型的构建[J]. 哈尔滨工业大学学报, 2022,54(3):139-147.
LI Jinfeng, HE Zhaoyi, GUAN Zhitao. Physical model for void ratio inmineral aggregates of porous asphalt concrete[J]. 2022, 54(3): 139-147.
李金凤, 何兆益, 官志桃. 多孔沥青混合料矿料间隙率物理模型的构建[J]. 哈尔滨工业大学学报, 2022,54(3):139-147. DOI: 10.11918/202101076.
LI Jinfeng, HE Zhaoyi, GUAN Zhitao. Physical model for void ratio inmineral aggregates of porous asphalt concrete[J]. 2022, 54(3): 139-147. DOI: 10.11918/202101076.
为了解多孔沥青混合料(PAC)的主骨架结构和矿料间隙率
针对多孔沥青混合料的多空隙特点
将所有矿料划分为较大粒径集料(LSA)、主集料(DASR)、干涉集料(PDA)和间隙集料(ICA)四部分
分析主集料形成的主骨架空隙结构
确定各部分集料的粒径范围
并提出了主骨架空隙率的计算方法。基于体积法
考虑ICA的填充作用、PDA的干涉作用和LSA的取代效应
构建PAC混合料矿料间隙率的物理模型
并通过PAC-13和PAC-10击实试验验证该模型预测效果。结果表明:对于DASR形成的主骨架空隙
ICA主要起填充作用;PDA的干涉作用虽然会占据DSAR形成的部分骨架空隙
但一定程度上也会增大主骨架的空隙;粒径较大的LSA取代部分DASR后也会使得主骨架的空隙率有所增大;对于DASR形成的主骨架空隙率
LSA、PDA和ICA对矿料间隙率的影响具有不同的方向性;在PAC级配设计初始阶段
无需制作混合料试件
仅依据级配曲线确定四组分集料的分界粒径即可预估相应的矿料间隙率
方便确定最佳级配
在很大程度上减少了PAC混合料配合比设计的试验量。综上
所建模型具有合理性和有效性
有较好预测效果。
To investigate the main skeleton structure and void ratio in mineral aggregate (VMA) of porous asphalt concrete (PAC)
according to the porosity of PAC
all mineral aggregates were divided into four parts: larger size aggregate (LSA)
dominant aggregate size range (DASR)
potentially disruption aggregate (PDA)
and interstitial component aggregate (ICA). The main skeleton void structure formed by DASR was analyzed
the particle size range of each aggregate part was determined
and the calculation method of the void ratio in main skeleton was proposed. Based on the volume method
the physical model for VMA of PAC was developed by introducing the filling mechanism of ICA
interference of PDA
and substitution effect of LSA
which had a good prediction effect compared with compaction test results of PAC-13 and PAC-10. Results show that for the main skeleton void structure formed by DASR
ICA mainly played the role of filling the skeleton voids. The interference of PDA though occupied part of the skeleton voids formed by DASR
increased the main skeleton voids to a certain extent. LSA with larger particle size also increased the void ratio of the main skeleton structure after replacing part of DASR. LSA
PDA
and ICA had different directionality effects on the void ratio of main skeleton formed by DASR. In the initial aggregate grading design of PAC
there is no need to prepare test specimens
and the corresponding VMA can be predicted by determining the critical particle size of the four aggregate parts according to the grading curves. It is convenient to determine the best gradation by using this model
which greatly reduces the experimental workload for PAC mixture design. In conclusion
the proposed model is reasonable and effective
and has a good prediction effect.
0
浏览量
22
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010602201714号