التفاصيل البيبلوغرافية
العنوان: |
Multi-objectives Optimization Design of A-type Frame in an Electric Mining Dump Truck Considering Multi-Source Uncertainties Based on the Interval Method. |
المؤلفون: |
Chengji MI, Zhonglin HUANG, Wentai LI, Di KANG, Dong ZHANG, Qishui YAO, Xingzu MING, Zhengshun NI |
المصدر: |
Mechanika; 2021, Vol. 27 Issue 2, p168-174, 7p |
مصطلحات موضوعية: |
DUMP trucks, GENETIC algorithms, IRON & steel plates, MINES & mineral resources, ELASTIC modulus |
مستخلص: |
In order to improve fuzzy fatigue reliability and make weight reduction of A-type frame in an electric mining dump truck considering multi-source uncertainties from design, manufacturing and use stage, a multi-objectives optimization method based on the interval theory was proposed in this paper. The thickness of four steel plates in welded Atype frame was regarded as certain design variables, while the elastic modulus and density of material was considered as uncertain variables as well as the load at front traction joint. The relationship between optimization objectives and variables was constructed by the response surface method, and was transformed by the interval method. Then, the optimization problem was solved by the non-dominated sorting genetic algorithm, which was found that the fuzzy fatigue reliability reached up to 98.45% at the expense of some weight. [ABSTRACT FROM AUTHOR] |
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قاعدة البيانات: |
Complementary Index |