Submitted:
14 February 2023
Posted:
27 February 2023
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Abstract
Keywords:
1. Introduction
2. Body Model Structure and Analysis
2.1. Finite element model
2.2. Static analysis
2.2.1. Typical working condition selection
2.2.2. Analysis of stress results in typical working conditions
4. Theoretical foundations of sensitivity analysis
5. Optimized design of structures
5.1. Sensitivity analysis
5.2. Constructing optimal design model
6. Results
7. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Yu W, Xiongqing Y. Expression, uncertainty analysis and solution strategy of robust optimization [J] China Manufacturing Informatization, 2008 (03): 49-54.
- Weiya J, Zijian M, Shuiqing Z, et al. Research on Multi-Optimal Project of Outlet Guide Vanes of Nuclear Grade Axial Flow Fan Based on Sensitivity Analysis[J]. Applied Sciences, 2022,12(6). [CrossRef]
- Fu C L, Bai Y C, Lin C, et al. Design optimization of a newly developed aluminum-steel multi-material electric bus body structure[J]. Structural and Multidisciplinary Optimization, 2019,60(5). [CrossRef]
- Chen W, Zuo W. Component sensitivity analysis of conceptual vehicle body for lightweight design under static and dynamic stiffness demands[J]. Int. J. of Vehicle Design, 2014,66(2). [CrossRef]
- Fangfang H, Tuwei L, Dongdong W, etc. Robust optimization design of crane girder structure based on response surface model [J] Lifting and transportation machinery, 2020 (24): 51-56.
- Youxin L, Xiaoyi C, Jirong Y, etc. High-dimensional multi-objective grey robust optimization design and its Matlab implementation [J] Journal of Agricultural Machinery, 2008 (08): 157-160.
- Bin S, Changfeng W, Songkui Y, etc. Optimization design of steel-aluminum hybrid bus frame based on sensitivity analysis [J] Bus Technology and Research, 2021,43 (03): 29-32.
- Jing T, Chao S, Fuyun L, etc. Research on lightweight method of commercial vehicle cab based on structural parameter sensitivity analysis [J] Mechanical Design, 2021,38 (11): 97-101.
- Zuo W, Yu J, Saitou K. Stress sensitivity analysis and optimization of automobile body frame consisting of rectangular tubes[J]. International Journal of Automotive Technology, 2016,17(5). [CrossRef]
- Xufei W, Denning J, Fei T, etc. Lightweight design of bus frame based on sensitivity analysis [J] Modern Manufacturing Engineering, 2021 (09): 52-57.
- Fengfeng W, Guolai Y, Jianli G, et al. Lightweight design of a certain mortar base plate based on sensitivity analysis[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2021,43(3). [CrossRef]
- Xinhao Z, Yanxiong L, Lin H, et al. Structural Analysis and Size Optimization of a Fine-Blanking Press Frame Based on Sensitivity Analysis[J]. STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING, 2020,66(6). [CrossRef]
- Jiwei Q, Ruijun Z, Xiaowei W. Reliability robust optimization design based on sensitivity additional objective function [J] Mechanical strength, 2014,36 (01): 45-50.
- Wei L. Research on multidisciplinary robust design optimization method considering parameter and model uncertainties [D] Huazhong University of Science and Technology, 2020.
- Lu W. Robust optimization design based on agent model and its improvement [D] Northwest University of Technology, 2018.
- Zhendong Zh. Research on key technologies of robust equilibrium optimization design of mechanical structure performance based on interval [D] Zhejiang University, 2018.







| Parameter | Numerical Value | Parameter | Numerical Value | ||
|---|---|---|---|---|---|
| Total mass | 140 t |
Crane rated lifting | 16 t |
||
| Piling capacity | 400 t |
Whole machine size | 12.9*10.0*7.38 m3 |
||
| Grounding specific voltage |
Longship | 0.119 MPa |
Line Size |
Longship | 3.3 m |
| Shortship | 0.127 MPa |
Shorship | 0.8 m |
||
| Pressing piles Speed |
Maximum speed | 4.7 m/min |
Stake size |
Square Pile | 250,300,400 mm |
| Minimum speed | 1.3 m/min |
Round pile | 300,400,500 mm |
||
| Parameter Name | Quality Sensitivity | Parameter Name | Quality Sensitivity |
|---|---|---|---|
| R1 | 0.94 | R4 | 0.21 |
| R2 | 0.16 | R5 | 0.23 |
| R3 | 0.12 | R6 | 0.12 |
| Parameter Name | Displacement Sensitivity | Parameter Name | Displacement Sensitivity |
|---|---|---|---|
| R1 | -0.95 | R4 | 0.04 |
| R2 | 0.21 | R5 | -0.21 |
| R3 | -0.02 | R6 | 0.05 |
| Parameter Name | Stress Sensitivity | Parameter Name | Stress Sensitivity |
|---|---|---|---|
| R1 | -0.95 | R4 | -0.08 |
| R2 | 0.21 | R5 | -0.22 |
| R3 | -0.04 | R6 | 0.03 |
| Variable Name | Thickness before optimization /m |
Optimized thickness /m |
Thickness after rounding /m |
|---|---|---|---|
| R1 | 0.04 | 0.03 | 0.03 |
| R3 | 0.03 | 0.02 | 0.02 |
| R4 | 0.035 | 0.025 | 0.025 |
| R5 | 0.05 | 0.0599979 | 0.06 |
| R6 | 0.06 | 0.0500 | 0.05 |
| Maximum stress /Mpa |
Maximum displacement /m |
||
|---|---|---|---|
| Before optimization | After optimization | Before optimization | After optimization |
| 110 | 162 | 0.00201 | 0.00326 |
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