Optimization of Rotary Drilling Rig Mast Structure Based on Multi-Dimensional Improved Salp Swarm Algorithm

The mast is a critical component of rotary drilling rigs, which has a cross-section consisting of a rectangular shape formed by two web plates and two flange plates. Structural optimization of the mast is necessary to address the issue of excessive weight. The shortcomings of the traditional structu...

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Main Authors: Heng Yang, Yuhang Ren, Gening Xu
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
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Online Access:https://www.mdpi.com/2076-3417/14/21/10040
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author Heng Yang
Yuhang Ren
Gening Xu
author_facet Heng Yang
Yuhang Ren
Gening Xu
author_sort Heng Yang
collection DOAJ
description The mast is a critical component of rotary drilling rigs, which has a cross-section consisting of a rectangular shape formed by two web plates and two flange plates. Structural optimization of the mast is necessary to address the issue of excessive weight. The shortcomings of the traditional structural optimization algorithms are summarized as follows: the optimized steel plate thickness is a non-integer, where rounding upwards may increase the cost to a certain extent, but it can ensure the safety of the structure; rounding downwards its load carrying capacity may not satisfy the requirements, and thus a novel Salp Swarm Algorithm is proposed to solve the optimization problem. First, this study improves the initialization and update strategy in the traditional Salp Swarm Algorithm. In order to obtain a solution for engineering, an innovative multi-dimensional running comparison is carried out. Secondly, the optimization model of rotary drilling rigs is established based on the division of the working conditions. The objective function of the optimization model is to minimize the weight of the mast while considering the constraints of strength, stiffness, stability, and welding process. Finally, the proposed optimization algorithm and the established optimization model are applied to optimize the design of the mast for a rotary drilling rig. The empirical results demonstrate that the weight of the mast has been reduced by 20%. In addition, the Improved Salp Swarm Algorithm exhibits higher solution quality, faster iteration capability, and extreme stability in optimizing welded box sections compared to the conventional algorithm. The example shows that the Improved Salp Swarm Algorithm is applicable to the optimization problem of box sections.
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spelling doaj-art-ffdd9945dc494e8aae303e0bc633b4be2024-11-08T14:34:14ZengMDPI AGApplied Sciences2076-34172024-11-0114211004010.3390/app142110040Optimization of Rotary Drilling Rig Mast Structure Based on Multi-Dimensional Improved Salp Swarm AlgorithmHeng Yang0Yuhang Ren1Gening Xu2College of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, ChinaCollege of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, ChinaCollege of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, ChinaThe mast is a critical component of rotary drilling rigs, which has a cross-section consisting of a rectangular shape formed by two web plates and two flange plates. Structural optimization of the mast is necessary to address the issue of excessive weight. The shortcomings of the traditional structural optimization algorithms are summarized as follows: the optimized steel plate thickness is a non-integer, where rounding upwards may increase the cost to a certain extent, but it can ensure the safety of the structure; rounding downwards its load carrying capacity may not satisfy the requirements, and thus a novel Salp Swarm Algorithm is proposed to solve the optimization problem. First, this study improves the initialization and update strategy in the traditional Salp Swarm Algorithm. In order to obtain a solution for engineering, an innovative multi-dimensional running comparison is carried out. Secondly, the optimization model of rotary drilling rigs is established based on the division of the working conditions. The objective function of the optimization model is to minimize the weight of the mast while considering the constraints of strength, stiffness, stability, and welding process. Finally, the proposed optimization algorithm and the established optimization model are applied to optimize the design of the mast for a rotary drilling rig. The empirical results demonstrate that the weight of the mast has been reduced by 20%. In addition, the Improved Salp Swarm Algorithm exhibits higher solution quality, faster iteration capability, and extreme stability in optimizing welded box sections compared to the conventional algorithm. The example shows that the Improved Salp Swarm Algorithm is applicable to the optimization problem of box sections.https://www.mdpi.com/2076-3417/14/21/10040rotary drilling rig maststructural optimizationImproved Salp Swarm Algorithmoptimization designlightweight design
spellingShingle Heng Yang
Yuhang Ren
Gening Xu
Optimization of Rotary Drilling Rig Mast Structure Based on Multi-Dimensional Improved Salp Swarm Algorithm
Applied Sciences
rotary drilling rig mast
structural optimization
Improved Salp Swarm Algorithm
optimization design
lightweight design
title Optimization of Rotary Drilling Rig Mast Structure Based on Multi-Dimensional Improved Salp Swarm Algorithm
title_full Optimization of Rotary Drilling Rig Mast Structure Based on Multi-Dimensional Improved Salp Swarm Algorithm
title_fullStr Optimization of Rotary Drilling Rig Mast Structure Based on Multi-Dimensional Improved Salp Swarm Algorithm
title_full_unstemmed Optimization of Rotary Drilling Rig Mast Structure Based on Multi-Dimensional Improved Salp Swarm Algorithm
title_short Optimization of Rotary Drilling Rig Mast Structure Based on Multi-Dimensional Improved Salp Swarm Algorithm
title_sort optimization of rotary drilling rig mast structure based on multi dimensional improved salp swarm algorithm
topic rotary drilling rig mast
structural optimization
Improved Salp Swarm Algorithm
optimization design
lightweight design
url https://www.mdpi.com/2076-3417/14/21/10040
work_keys_str_mv AT hengyang optimizationofrotarydrillingrigmaststructurebasedonmultidimensionalimprovedsalpswarmalgorithm
AT yuhangren optimizationofrotarydrillingrigmaststructurebasedonmultidimensionalimprovedsalpswarmalgorithm
AT geningxu optimizationofrotarydrillingrigmaststructurebasedonmultidimensionalimprovedsalpswarmalgorithm