基本信息
姓名：刘国强
出生年月：1991年11月
学位：博士
职称：讲师
研究领域：（1）沥青与矿料界面交互作用的多尺度表征；（2）沥青及沥青混合料粘弹行为、微（细）观损伤机制及数值仿真研究；（3）服役状态下路面结构性能无损检测、评估与养护的一体化技术；（4）绿色低碳功能型路面新材料研发及应用.
E-mail：guoqiangliu2021@126.com
个人简介
刘国强，男，安徽芜湖人。2021年9月博士毕业于东南大学交通运输工程专业。在Journal of Materials in Civil Engineering，International Journal of Pavement Engineering，Construction and Building Materials，Road Materials and Pavement Design等国际期刊发表学术论文10余篇，参与多项国家重点研发计划及国家自然科学基金项目，受邀担任 Construction and Building Materials、TRB以及Materials等期刊或会议论文审稿人。
教育经历
2016/9~2021/9 东南大学 交通运输工程， 博士，导师：赵永利教授
2013/9~2016/6 长安大学 道路与铁道工程，硕士，导师：张久鹏教授
2009/9~2013/6 安徽理工大学 土木工程， 本科
科研、学术与访学工作经历
2021年9月-至今，中国矿业大学，力学与土木工程学院，讲师
主持或科研项目及人才计划项目情况
纵向：
（1）智能感知与路用性能平衡的材料设计理论，国家重点研发计划子课题，在研，参加。
（2）基于主力链演化机制的矿料骨架构成机理及沥青混合料优化设计研究，国家自然科学基金，在研，参加。
（3）基于Eshelby夹杂理论的沥青混合料细观本构模型及损伤机理研究，国家自然科学基金，已结题，参加。
代表性研究成果和学术奖励情况
一.代表性论文
[1] Liu, G., et al. (2020). Asphalt Mixture Force Chains Length Distribution and Skeleton Composition Investigation Based on Computational Granular Mechanics. Journal of Materials in Civil Engineering.
[2] Liu, G., et al. (2020). Effects of Asphalt Mixture Structure Types on Force Chains Characteristics Based on Computational Granular Mechanics. International Journal of Pavement Engineering. doi:10.1080/10298436.2020.1784894.
[3] Liu, G., et al. (2020). Research on Asphalt Mixture Force Chains Identification Criteria Based on Computational Granular Mechanics. Canadian Journal of Civil Engineering. doi:10.1139/cjce-2020-0021.
[4] Liu, G., et al. (2020). Quantitative Investigation of Aggregate Skeleton Force Chains of Asphalt Mixtures Based on Computational Granular Mechanics. Advances in Civil Engineering, 2020, 2196503. doi:10.1155/2020/2196503.
[5] Liu, G., et al. (2020). Quantitative comparison of evaluation indices for asphalt-filler interaction ability within filler critical volume fraction. Road Materials and Pavement Design, 21(4), 906-926. doi:10.1080/14680629.2018.1531054.
[6] A. Chen, G. Liu, Y. Zhao, J. Li, Y. Pan and J. Zhou (2018). Research on the aging and rejuvenation mechanisms of asphalt using atomic force microscopy. 177-184, Construction and Building Materials.
[7] Y. Jia, G. Liu, Y. Gao, J. Pei, Y. Zhao and J. Zhang(2018). Degradation reliability modeling of stabilized base course materials based on a modulus decrement process. 303-313, Construction and Building Materials.
[8] Liu, G., et al. (2018). Effects of aging on rheological properties of asphalt materials and asphalt-filler interaction ability. Construction and Building Materials, 168, 501-511.
[9] Liu, G., et al. (2017). Fatigue performance evaluation of asphalt mixtures based on energy-controlled loading mode. Construction and Building Materials, 157, 348-356.
[10] Liu, G., et al. (2017). Applicability of evaluation indices for asphalt and filler interaction ability. Construction and Building Materials, 148, 599-609.
[11] Zhang, J, Liu, G., et al. (2017). Effects of material characteristics on asphalt and filler interaction ability. International Journal of Pavement Engineering.
[12] J. Zhang, G. Liu, Z. Hu, C. Zhu, J. Pei and L. Jin(2016). Effects of temperature and loading frequency on asphalt and filler interaction ability. Construction and Building Materials, 1028-1037. DOI: 10.1016/j.conbuildmat.2016.08.151
[13] J. Zhang, G. Liu, C. Zhu and J. Pei(2017). Evaluation indices of asphalt–filler interaction ability and the filler critical volume fraction based on the complex modulus. Road Materials and Pavement Design, 1338-1352, DOI: 10.1080/14680629.2016.1218789
二.授权发明专利和编制标准、规范
发明专利：赵永利，陈安琪，李靖，刘国强，潘园园. 一种基于聚类分类的路用性能预测方法，专利申请号：CN201810116585.1
