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Hybrid physical simulation and convolutional network for rack uprights bending damage prediction
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Qi CHEN1, Zhijun LÜ1, Ming CHU1, Xiao ZHANG2, Hongliang LI3
Journal of Mechanical Strength | 2025, 47(2) : 19 - 27
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Journal of Mechanical Strength | 2025, 47(2): 19-27
• Fatigue∙Damage∙Fracture∙Failure Analysis •
Hybrid physical simulation and convolutional network for rack uprights bending damage prediction
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Qi CHEN1, Zhijun LÜ1, Ming CHU1, Xiao ZHANG2, Hongliang LI3
Affiliations
  • 1.College of Mechanical Engineering, Donghua University, Shanghai 201620, China
  • 2.Wanbang Digital Energy Co., Ltd., Changzhou 213161, China
  • 3.Shanghai Jingxing Storage Equipment Engineering Co., Ltd., Shanghai 201611, China
Published: 2025-02-15 doi: 10.16579/j.issn.1001.9669.2025.02.003
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Accidental mechanical impacts such as forklifts may lead to serious degradation of the stability of industrial rack uprights.The finite element simulation model of the upright bending damage was established based on the physical test mechanism with five types of common upright in the industry as examples, and the analysis found that even a small impact deformation (1 mm) may lead to a decrease in the ultimate bearing capacity of the upright (maximum about 37%).Compared with other impacted positions, the bending damage at the prism made the upright stability decrease more significantly.Based on this, an intelligent prediction model of the bending damage state of the upright was established by physical simulation and convolutional neural network method.The results show that the residual load capacity values of the damaged upright obtained from the prediction model agree well with the finite element simulation data (the mean absolute percentage error is 5.99%) and can be used for rapid assessment of the bending damage performance of the rack upright.

Rack upright  /  Finite element  /  Bending damage  /  Convolutional neural network  /  Stability
Qi CHEN, Zhijun LÜ, Ming CHU, Xiao ZHANG, Hongliang LI. Hybrid physical simulation and convolutional network for rack uprights bending damage prediction[J]. Journal of Mechanical Strength, 2025 , 47 (2) : 19 -27 . DOI: 10.16579/j.issn.1001.9669.2025.02.003
Funding
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  • Shanghai Science and Technology Commission Engineering Center Capacity Enhancement Program(17DZ2283800)
Appendix
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Year 2025 volume 47 Issue 2
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Article Info
doi: 10.16579/j.issn.1001.9669.2025.02.003
  • Receive Date：2023-04-17
  • Online Date：2026-03-18
  • Published：2025-02-15
Article Data
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History
  • Received：2023-04-17
  • Revised：2023-08-08
Funding
Shanghai Science and Technology Commission Engineering Center Capacity Enhancement Program(17DZ2283800)
Affiliations
    1.College of Mechanical Engineering, Donghua University, Shanghai 201620, China
    2.Wanbang Digital Energy Co., Ltd., Changzhou 213161, China
    3.Shanghai Jingxing Storage Equipment Engineering Co., Ltd., Shanghai 201611, China

Corresponding:

LÜ Zhijun, E-mail：
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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