2021
DOI: 10.1063/5.0050653
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Comprehensive research on energy-saving green design scheme of crane structure based on computational intelligence

Abstract: In the field of cranes, unreasonable structure design leads to high energy consumption. In order to solve the problems of heavy weight and serious steel consumption of a crane structure, a green energy-saving design method based on computational intelligence is proposed. For minimizing the weight of a structure, two optimization models are proposed. The specular reflection algorithm is used to make the green and lightweight design. A multi-objective optimization model for the green design is constructed. The m… Show more

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Cited by 13 publications
(11 citation statements)
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References 23 publications
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“…The moth-Flame Optimization (MFO) algorithm is used to solve this multi-criteria optimization problem [14]. In addition, [15] also studied the rational design of the crane structure to save energy. The article has proposed a green energy-saving design method based on artificial intelligence.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The moth-Flame Optimization (MFO) algorithm is used to solve this multi-criteria optimization problem [14]. In addition, [15] also studied the rational design of the crane structure to save energy. The article has proposed a green energy-saving design method based on artificial intelligence.…”
Section: Introductionmentioning
confidence: 99%
“…The article has proposed a green energy-saving design method based on artificial intelligence. The results show that compared with the original design, the machining waste after optimization is 63.43% lower and the cross-sectional area of the main girder is reduced by 27.03 % [15]. In the study [16], the subframe of the elevator was optimized.…”
Section: Introductionmentioning
confidence: 99%
“…Many methods are applied in the optimization of geometric parameters of supporting structures. [8][9][10][11][12][13][14][15][16][17] For example, Yang et al 8 applied Reinforcement Learning (RL) with episodic controllers, which enhanced the search mechanism. Ahmid et al 9 introduced an enhanced Cuckoo Search (CS) optimization algorithm on an I-beam gantry crane.…”
Section: Introductionmentioning
confidence: 99%
“…Yes xilbel et al 10 achieved the optimum overhead crane design using the Bees Algorithm (BA), that is, the minimum weight with compliance with all technical and operational requirements. To address the heavyweight problem and significant steel consumption in overhead crane production, Qi et al 11 proposed the Specular Reflection Algorithm (SRA) for light-weight design, while fuzzy mathematics is applied to assess the overall crane weight impact on the environment and the production waste. Thus, the production waste was decreased by 63.43%, and the area of the cross-section was decreased by 27.03%.…”
Section: Introductionmentioning
confidence: 99%
“…Designing for sustainability demands the use of cutting-edge resources and methods to reduce energy consumption, waste, and inefficiency while boosting productivity and beneficial environmental impact. It's a safety net for companies who want to build their brands, increase sales, and expand production by improving the packaging of their goods (Qi et al, 2021). Furthermore, a company's marketing mix is incomplete unless the packaging technique for each product is considered.…”
mentioning
confidence: 99%