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利用由平衡的曼塔射线食优化算法优化的深度信念网络来估计剪切墙的剪切强度
Feng Liu1, Zhigui Dong2, Bizhan Gorbani3,4
1School of Resources and Civil Engineering, Liaoning Institute of Science and Technology, Benxi, 117004, Liaoning, China.
Scientific reports
|March 3, 2025
概括
预测混凝土剪墙强度对于地震安全至关重要. 一个新的深度信念网络 (DBN) 模型,与BMRFOA优化,准确地估计剪切能力,显示结构工程应用的希望.
科学领域:
- 结构工程 结构工程
- 地震设计 - - 地震设计
- 计算力学 计算力学 计算力学
背景情况:
- 剪切壁对于构建侧面负载阻力,特别是地震力至关重要.
- 精确的切割能力预测在混凝土切割墙对地震安全至关重要.
- 在复杂的结构分析中,现有的方法可能缺乏精度.
研究的目的:
- 开发和验证一种用于预测混凝土剪墙的剪强度的新型模型.
- 通过精确的剪切能力估计来提高地震安全.
- 研究各种参数对剪切强度预测的影响.
主要方法:
- 使用深度信念网络 (DBN) 进行预测建模.
- 使用平衡的曼塔射线食优化算法 (BMRFOA) 优化了DBN.
- 在60个实验室测试的数据集上训练模型,考虑墙壁厚度,钢筋比率,尺寸和材料强度等参数.
主要成果:
- 通过DBN-BMRFOA模型,可靠地估计了混凝土剪切墙的剪切能力.
- 玛 (γ) 比率被确定为对预测准确性的最有影响力的参数.
- 该模型实现了约7%的令人满意的误差率.
结论:
- DBN-BMRFOA方法对于预测钢筋混凝土剪墙的剪强度是有效的.
- 这种计算方法为结构工程中的地震安全评估提供了可靠的工具.
- 进一步的研究可以探索更广泛的应用和参数变化.
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