Kai Liu

Prof. Dr. Kai Liu

1. School of Automobile and Transportation Engineering, Hefei University of Technology, Hefei 230009, China
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Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2019 in Construction and Building Materials
Verified
Journal Article
Closed access
Kai LiuKai Liu
Kai Liu
WLWei Liang
Wei Liang
FRFengmei Ren
Fengmei Ren
JRJingge Ren
Jingge Ren
FWFang Wang
Fang Wang
HDHeng Ding
Heng Ding

1 March 2018 in Journal of Materials in Civil Engineering
Verified
Journal Article
Closed access
CJCan Jin
Can Jin
Xu YangXu Yang
Xu Yang
Zhanping YouZhanping You
Zhanping You
Kai LiuKai Liu
Kai Liu
The morphology of aggregates has a significant effect on the mechanical performance of aggregate-based materials such as asphalt concrete and cement concrete. This paper obtains shape indexes of aggregates, including aggregate sieve size, orientation, sphericity, and volume. The four indexes can be obtained through a virtual measurement method based on the minimum axis-aligned bounding box (AABB) of a three-dimensional (3D) solid model of aggregate. The methodology consists of three main steps: (1) the 3D solid model of each aggregate is developed from X-ray computed tomography (CT) images for aggregate cross sections, and the aggregate sphericity and volume are calculated; (2) the 3D aggregate model is rotated from the initial orientation to find a target orientation at which a minimum AABB occurs; based on that, the aggregate initial orientation is determined by the direction of the longest side of the minimum AABB and the angle rotated; and (3) the searching route for the cross section that determines the sieve size of the aggregate is computed, and the cross section with the longest length is identified to calculate the aggregate sieve size. The 3D solid models developed in this paper are very close to real aggregates, and contain intact geometric boundary information in their 3D internal structures. Laboratory measurement indicates that the virtual measurement method can significantly facilitate the accuracy, efficiency, and automation of aggregate shape characterization.

1 December 2019 in Construction and Building Materials
Verified
Journal Article
Closed access
Kai LiuKai Liu
Kai Liu
CFChaoliang Fu
Chaoliang Fu
DDDongling Dai
Dongling Dai
CJCan Jin
Can Jin
WLWeihan Li
Weihan Li
XXXianming Xu
Xianming Xu

1 February 2020 in Construction and Building Materials
Verified
Journal Article
Closed access
Kai LiuKai Liu
Kai Liu
DDDongling Dai
Dongling Dai
CFChaoliang Fu
Chaoliang Fu
WLWeihan Li
Weihan Li
SLShuqing Li
Shuqing Li

1 June 2020 in Construction and Building Materials
Verified
Journal Article
Closed access
CJCan Jin
Can Jin
FZFeilong Zou
Feilong Zou
Xu YangXu Yang
Xu Yang
Kai LiuKai Liu
Kai Liu
Pengfei LiuPengfei Liu
Pengfei Liu
MOMarkus Oeser
Markus Oeser

9 May 2018 in Materials and Structures
Verified
Journal Article
Closed access
PDF file
Kai LiuKai Liu
Kai Liu
XZXiang Zhang
Xiang Zhang
DGDedong Guo
Dedong Guo
Fang WangFang Wang
Fang Wang
HXHongzhou Xie
Hongzhou Xie