Safety Design of Rotary Drilling Rig Mast Based on Multi-Condition Analysis
To achieve both safety and a lightweight design for rotary drilling rig masts, this study proposes an optimization method incorporating safety evaluation constraints. The method employs the limit state method to validate the mast structure and uses fuzzy comprehensive evaluation to quantify safety performance metrics. The optimization objective is to minimize the mast’s self-weight, with design variables defined as the geometric dimensions of key cross-sections, while imposing constraints on the strength, stiffness, stability, and safety scores. The safety score utilizes fuzzy comprehensive evaluation and a weighted aggregation method, considering indicators such as strength, stiffness, stability, and fatigue strength. An improved Salp Swarm Algorithm is utilized to execute the optimization process. Engineering case studies demonstrate that the optimized design reduces the mast’s self-weight by 6.5% under safety constraints. Compared to designs without safety constraints, the material usage increases slightly by 7.3%, but the safety performance improves by 14.74%. The findings indicate that integrating safety evaluation constraints into the optimization process not only enhances the structural safety of the mast but also achieves a favorable balance between safety and economic efficiency. This approach provides a valuable reference for the safety-focused design of rotary drilling rig masts.
Authors
- Yuhang Ren (ORCID: https://orcid.org/0000-0002-2179-9777)
- Heng Yang (ORCID: https://orcid.org/0000-0002-8873-9576)
- Gening Xu (ORCID: https://orcid.org/0000-0002-0606-836X)
- Hongmei Yang (ORCID: https://orcid.org/0000-0002-9048-2546)
Institutions
- Taiyuan University of Science and Technology (CN)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-02-07
- DOI
- https://doi.org/10.3390/app15041704
- Citations
- 1
- Primary Topic
- Industrial Technology and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.21