| [1] |
YU Shui, WU Xiao, GUO Peng, WANG Zhihua.
Adaptive Approximation of the First-crossing PDF for Time-variant Reliability Analysis
[J]. Journal of Mechanical Engineering, 2024, 60(5): 264-275.
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| [2] |
LÜ Liye, LU Yujun, WANG Shuo, LIU Yin, LI Kunpeng, SONG Xueguan.
Survey and Prospect of Surrogate Model Technique and Application
[J]. Journal of Mechanical Engineering, 2024, 60(3): 254-281.
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| [3] |
ZHAO Feng, HU Weifei, LI Guang, DENG Xiaoyu, LIU Zhenyu, GUO Yunfei, TAN Jianrong.
Multi-objective Optimization Design Method Based on a Hybrid Metric Adaptive Sampling Surrogate Model
[J]. Journal of Mechanical Engineering, 2024, 60(13): 81-91.
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| [4] |
HU Weifei, LIAO Jiale, GUO Yunfei, YAN Jiquan, LI Guang, YUE Haifeng, TAN Jianrong.
Time-dependent Reliability Analysis Based on Physics-Informed Neutral Network
[J]. Journal of Mechanical Engineering, 2024, 60(13): 141-153.
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| [5] |
FAN Xiao-ning, WANG Kai, YU Chang.
Reliability-based Design Optimization of Crane Metal Structure Based on Constraint Boundary Sampling
[J]. Journal of Mechanical Engineering, 2023, 59(8): 288-298.
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| [6] |
LI Chunming, SUN Xiaoxia, ZHANG Tao, SHU Chenglong, ZHANG Shuai, SONG Xueguan.
Optimization of Powertrain Mobility Performance of Vehicles with Variable Altitude Working Conditions by Ensemble of Surrogate Models
[J]. Journal of Mechanical Engineering, 2023, 59(4): 135-144.
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| [7] |
Lü Chao, SONG Yankong, ZHU Shihuai, GE Yaming, WANG Lixin.
Structural Optimization of Liquid Cooling System for Lithium Ion Battery Based on Working Condition Adaptation Surrogate Model
[J]. Journal of Mechanical Engineering, 2023, 59(22): 59-68.
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| [8] |
ZHANG Wenxin, Lü Zhenzhou.
New Stopping Criterion of Adaptive Kriging Method and Its Application in Fatigue Life Reliability for Turbine Disk
[J]. Journal of Mechanical Engineering, 2022, 58(6): 263-273.
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| [9] |
CHEN Weiyi, HU Weifei, FANG Jianhao, JIANG Hongwei, LIU Zhenyu, TAN Jianrong.
Design Optimization for Coating Fatigue Life of Wind Turbine Blades Considering Rain Erosion
[J]. Journal of Mechanical Engineering, 2022, 58(17): 2-15.
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| [10] |
HE Xiwang, YANG Liangliang, RAN Renjie, ZHU Fawen, SONG Xueguan.
Comparative Studies of Surrogate Models Based on Multiple Evaluation Criteria
[J]. Journal of Mechanical Engineering, 2022, 58(16): 403-419.
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| [11] |
ZHI Pengpeng, WANG Zhonglai, LI Yonghua, TIAN Zongrui.
RMQGS-APS-Kriging-based Active Learning Structural Reliability Analysis Method
[J]. Journal of Mechanical Engineering, 2022, 58(16): 420-429.
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| [12] |
YOU Yunxia, HOU Li, YI Zongli, ZHANG Haiyan, SHENG Xin.
Study on Spray Performance and Optimization Design of Gas-liquid Coaxial Swirl Nozzle
[J]. Journal of Mechanical Engineering, 2022, 58(1): 201-211.
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| [13] |
ZHANG Li, CHEN Jiangtao, XIONG Fenfen, REN Chengkun, LI Chao.
Meta-Learning Based Multi-Fidelity Deep Neural Networks Metamodel Method
[J]. Journal of Mechanical Engineering, 2022, 58(1): 190-200.
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| [14] |
HU Chunxing, HOU Yuliang, TIE Ying, LI Cheng, MAO Zhengang.
Influence of Different Bonding Parameters on the Strength of CFRP Laminates with Single Lap Bonding Structure and Optimization
[J]. Journal of Mechanical Engineering, 2021, 57(8): 154-165.
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| [15] |
ZHOU Qi, YANG Yang, SONG Xueguan, HAN Zhonghua, CHENG Yuansheng, HU Jiexiang, SHU Leshi, JIANG Ping.
Survey of Multi-fidelity Surrogate Models and their Applications in the Design and Optimization of Engineering Equipment
[J]. Journal of Mechanical Engineering, 2020, 56(24): 219-245.
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