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A 3D SPH framework for simulating landslide dam breaches by coupling erosion and side slope failure
Journal article
Li, Shuang, Peng, Ming, Gao, Liang, Xia, Chengzhi, Zhu, Yan. A 3D SPH framework for simulating landslide dam breaches by coupling erosion and side slope failure[J]. Computers and Geotechnics, 2024, 175, 106699.
Authors:
Li, Shuang
;
Peng, Ming
;
Gao, Liang
;
Xia, Chengzhi
;
Zhu, Yan
Favorite
|
TC[Scopus]:
0
IF:
5.3
/
5.7
|
Submit date:2024/10/10
Breach
Erosion
Landslide Dam
Side Slope Failure
Sph
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
Conference paper
Perez-Pellitero, Eduardo, Catley-Chandar, Sibi, Shaw, Richard, Leonardis, Ales, Timofte, Radu, Zhang, Zexin, Liu, Cen, Peng, Yunbo, Lin, Yue, Yu, Gaocheng, Zhang, Jin, Ma, Zhe, Wang, Hongbin, Chen, Xiangyu, Wang, Xintao, Wu, Haiwei, Liu, Lin, Dong, Chao, Zhou, Jiantao, Yan, Qingsen, Zhang, Song, Chen, Weiye, Liu, Yuhang, Zhang, Zhen, Zhang, Yanning, Shi, Javen Qinfeng, Gong, Dong, Zhu, Dan, Sun, Mengdi, Chen, Guannan, Hu, Yang, Li, Haowei, Zou, Baozhu, Liu, Zhen, Lin, Wenjie, Jiang, Ting, Jiang, Chengzhi, Li, Xinpeng, Han, Mingyan, Fan, Haoqiang, Sun, Jian, Liu, Shuaicheng, Marin-Vega, Juan, Sloth, Michael, Schneider-Kamp, Peter, Rottger, Richard, Li, Chunyang, Bao, Long, He, Gang, Xu, Ziyao, Xu, Li, Zhan, Gen, Sun, Ming, Wen, Xing, Li, Junlin, Li, Jinjing, Li, Chenghua, Gang, Ruipeng, Li, Fangya, Liu, Chenming, Feng, Shuang, Lei, Fei, Liu, Rui, Ruan, Junxiang, Dai, Tianhong, Li, Wei, Lu, Zhan, Liu, Hengyan, Huang, Peian, Ren, Guangyu, Luo, Yonglin, Liu, Chang, Tu, Qiang, Ma, Sai, Cao, Yizhen, Tel, Steven, Heyrman, Barthelemy, Ginhac, Dominique, Lee, Chul, Kim, Gahyeon, Park, Seonghyun, An Gia Vien, Truong Thanh Nhat Mai, Yoon, Howoon, Tu Vo, Holston, Alexander, Zaheer, Sheir, Park, Chan Y.. NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results[C], 2022, 1008-1022.
Authors:
Perez-Pellitero, Eduardo
;
Catley-Chandar, Sibi
;
Shaw, Richard
;
Leonardis, Ales
;
Timofte, Radu
; et al.
Favorite
|
TC[WOS]:
12
TC[Scopus]:
28
|
Submit date:2023/01/30
Affine Arithmetic-Based Coordinated Interval Power Flow of Integrated Transmission and Distribution Networks
Journal article
Kunjie Tang, Shufeng Dong, Chengzhi Zhu, Yonghua Song. Affine Arithmetic-Based Coordinated Interval Power Flow of Integrated Transmission and Distribution Networks[J]. IEEE Transactions on Smart Grid, 2020, 11(5), 4116-4132.
Authors:
Kunjie Tang
;
Shufeng Dong
;
Chengzhi Zhu
;
Yonghua Song
Favorite
|
TC[WOS]:
20
TC[Scopus]:
23
IF:
8.6
/
9.6
|
Submit date:2021/05/10
Interval Power Flow
Integrated Transmission And Distribution Networks
Affine Arithmetic
Multistage
Uncertainty
Continuous power flow of islanded microgrids based on factored load flow and step size control
Conference paper
Lin,Liheng, Tang,Kunjie, Zhu,Chengzhi, Dong,Shufeng, Tang,Yingqi, Song,Yonghua. Continuous power flow of islanded microgrids based on factored load flow and step size control[C], 2020.
Authors:
Lin,Liheng
;
Tang,Kunjie
;
Zhu,Chengzhi
;
Dong,Shufeng
;
Tang,Yingqi
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2021/03/09
Adaptive Step Size Control
Continuous Power Flow
Islanded Microgrid
Modified Factored Load Flow
A Robust and Efficient Two-Stage Algorithm for Power Flow Calculation of Large-Scale Systems
Journal article
Tang,Kunjie, Dong,Shufeng, Shen,Jie, Zhu,Chengzhi, Song,Yonghua. A Robust and Efficient Two-Stage Algorithm for Power Flow Calculation of Large-Scale Systems[J]. IEEE Transactions on Power Systems, 2019, 34(6), 5012-5022.
Authors:
Tang,Kunjie
;
Dong,Shufeng
;
Shen,Jie
;
Zhu,Chengzhi
;
Song,Yonghua
Favorite
|
TC[WOS]:
23
TC[Scopus]:
33
IF:
6.5
/
7.4
|
Submit date:2021/03/09
Ill-conditioned
Large-scale
Power Flow Calculation
Robustness
Trust-region. Two-stage Algorithm
Bad Data Identification Method Based on Maximum Normal Measurement Rate and GPU Parallel Acceleration 基于最大测点正常率与GPU并行加速的不良数据辨识方法
Journal article
Fang,Rui, Dong,Shufeng, Tang,Kunjie, Zhu,Chengzhi, Pei,Tian, Song,Yonghua. Bad Data Identification Method Based on Maximum Normal Measurement Rate and GPU Parallel Acceleration 基于最大测点正常率与GPU并行加速的不良数据辨识方法[J]. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2019, 43(16).
Authors: ; et al.
Favorite
|
TC[Scopus]:
10
|
Submit date:2021/03/09
Data Identification
Normal Measurement Rate
Parallel Compution
Particle Swarm Optimization (Gpu)
State Estimation