Journal Publications
- [1]Zhou Zhong, Yang Hao, Zhou Shirong, Li Shishuai, Li Hongchang.Tunnel lining quality detection based on the YOLO-LD algorithm.Construction and Building Materials, 2024
- [2]Gong Chenjie, Zhou Zhong, Cheng Mingjin, Ge Yangyang, Song Jianrong.Leakage mechanisms of an operational underwater shield tunnel and countermeasures: A case study.Tunnelling and Underground Space Technology, 2024
- [3]Zhou Zhong, Yang Hao, Zhang Jiuzhou, Li Zhenxiao.Computational model for the thermal conductivity of soil-rock mixture.International Journal of Heat and Mass Transfer, 2024, 230
- [4]Zhou Zhong, Yang Hao, Li Zhenxiao, Jiuzhou, Li Xin.DEM investigation on sandy soil behaviors under the influence of particle shape.Powder Technology, 2024, 441
- [5]Zhou Zhong, Yang Hao, Zhou Shirong, Zheng Yidi, Yan Longbin.Clustering and diagnosis of crack images of tunnel linings via graph neural networks.Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 2024
- [6]Zhou Zhong, Gong Chenjie, Zheng Yidi, Xie Guiqiu, Li Fan, Ji Zigang.Constitutive damage model of foamed lightweight concrete using statistical damage theory.Materials, 2023, 16 (17) : 5946.
- [7]Zhou Zhong, Gong Chenjie, Zheng Yidi, Hu Jiangfeng, Yang Hao.Deformation analysis of shield undercrossing and vertical paralleling excavation with existing tunnel in composite stratum.Journal of Central South University, 2023: 1-18.
- [8]Zhou Zhong, Ding Haohui, Zhang Junjie, Yang Hao.Using an enhanced ant lion optimizer to improve artificial neural networks for the prediction of food-grade sodium alginate treatment effects for ready-mixed concrete plant wastewater.Bulletin Of Engineering Geology And The Environment, 2023, 82: 287.
- [9]Zhou Zhong, Zhang Junjie, Gong Chenjie, Yan Longbin, Zheng Yidi, Yang Hao, Deng E.Automatic segmentation of tunnel lining defects based on multiscale attention and context information enhancement.Construction and Building Materials, 2023, 387: 131621.
- [10]Zhou Zhong, Yang Hao, Zheng Yidi, Zhang Junjie.Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation.Frontiers of Structural and Civil Engineering, 2023: 1-13.
- [11]Gong Chenjie, Zhou Zhong, Xie Chaoran, Lin Zanquan, Xie Dongwu.Ground deformation prediction induced by shield tunnelling considering existing multi-story buildings.Journal of Central South University, 2023, 30 (4) : 1373-1387.
- [12]Zhou Zhong, Zhang Junjie, Gong Chenjie, Hybrid semantic segmentation for tunnel lining cracks based on Swin Transformer and convolutional neural network.Computer-aided Civil and Infrastructure Engineering, 2023: 1-20.
- [13]Zhou Zhong, Yang Hao, Yan Longbin, Zhang Junjie.Real-time tunnel lining crack detection based on an improved You Only Look Once version X algorithm.Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 2023, 17 (1) : 181-195.
- [14]Zhou Zhong, Gong Chenjie, Zhang Junjie, Wu Wei.Automatic tunnel lining crack detection via deep learning with generative adversarial network-based data augmentation.Underground Space, 2022, 9: 140-154.
- [15]Zhong Zhou, Fan Li, Mingfeng Le, Jiangfeng Hu, Junjie Zhang.Elastic Modulus Prediction Model of Foamed Concrete Based on the Walsh Formula.Appl. Sci., 2022, 12
- [16]Zhou Zhong, Gong Chenjie, Zhang Junjie.Automatic detection method of tunnel lining multi-defects via an enhanced You Only Look Once network.Computer-Aided Civil and Infrastructure Engineering, 2022, 37: 762-780.
- [17]周中, 张俊杰, 鲁四平.基于改进YOLOv4的隧道衬砌裂缝检测算法.铁道学报, 2023, 45 (10) : 162-170.
- [18]周中, 邓卓湘, 鄢海涛, 张俊杰.岩溶区隧道新型绿色注浆材料试验研究.铁道工程学报, 2023, 40 (7) : 63-68.
- [19]周中, 龚琛杰, 闫龙宾,张俊杰,张东明.基于自注意力机制与卷积神经网络的隧道衬砌裂缝智能检测.铁道学报, 2023: 1-12.
- [20]周中, 陈云, 邓卓湘,胡江锋.基于GA-BP神经网络的泡沫轻质土强度预测.华南理工大学学报(自然科学版), 2022, 50 (11) : 125-132.
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周中
Postal Address:03495ecd7a16bd412ba79a04636b517ae9a9dc38637c61426502a8f042e2fa0e0a72b519ad7a7421f26162e553a08d06e9c01c07bc561856080ec0c39fe76b272f7b07fe4eb13fa8ba12a579751a89db7034fdbf0656ec7929d821c2436208ffb88a0a4a94d9651de762994dbb1c8fb03e11d34e08e02274f569f33bd2dbccc2
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Email:333f776e37e503b71e5db85350ddcc58b00f28eaba063223e8aa08f890fc04a05547f56c039b19eafb343ac9203c61d19f35f905e84b8a22ccc92190483b303a879a81aa251514cbf1ee898e551b952b56b804c4834328754b924c94297f4daaeeafa73bd6d0e092d400914b34ebda11fb855478b4274039e7b2235fb8665185
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