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为太阳能发电场基础设施项目进行侧面加载螺旋的优化和现场验证
Hyeong-Joo Kim1, James Vincent Reyes2, Hyeong-Soo Kim3
1Department of Civil Engineering, Kunsan National University, 558 Daehak-ro, Miryong-dong, Gunsan, 54150, Republic of Korea.
Scientific reports
|November 1, 2025
概括
这项研究利用机器学习优化了用于横向负载的螺旋式堆设计. 主要的几何比率,如螺旋到直径,对于基础系统的性能和材料效率至关重要.
科学领域:
- 地质技术工程 地质技术工程
- 设计基金会设计基金会设计基金会
- 机器学习应用 机器学习应用
背景情况:
- 有限的研究存在于螺旋的侧向行为,尽管在基础设计中具有至关重要的重要性.
- 螺旋的轴向行为已得到充分记录,但侧向响应需要进一步研究以进行全面的设计.
研究的目的:
- 通过机器学习探索影响螺旋横向行为的关键几何特征.
- 为了获得优化见解来设计侧面加载螺旋.
- 制定一个平衡地理结构性能和材料效率的框架.
主要方法:
- 使用修改的p-y弹方法建模侧面堆响应.
- 从实地测量中经验调整的地质技术参数计算安装效应.
- 使用响应表面分析和机器学习来确定最佳的几何比率.
主要成果:
- 最佳的螺旋到堆直径比 (dH/dP) 取决于螺旋到堆嵌入比 (zH/zP) 和应用到故障负载比 (aL/fL).
- 螺旋对侧向电阻的贡献显著下降,超过0.2的zH/zP,并且在0.6.以后变得可以忽略不计.
- 衍生的几何特征显示独立于局部的土壤条件,表明广泛适用性.
结论:
- 该研究为设计侧面加载螺旋提供了一个实用的框架.
- 优化的几何特征使实践者能够实现更好的地理结构性能和材料效率.
- 研究结果表明,通过仔细考虑几何参数,可以优化侧面负载的螺旋设计.
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