基于LSTM-变压器的超大直径屏蔽态度的预测
Linfabao Dai1,2, Wenming Chen3,4, Mingqing Xiao3,4
1China Railway Siyuan Survey and Design Group Co., Ltd., Wuhan, Hubei, China. 275283120@qq.com.
Scientific reports
|May 5, 2025
概括
这项研究介绍了一种先进的LSTM-变压器模型,用于精确地预测盾道的态度. 该模型通过准确预测关键参数并提供早期风险警告,提高了建筑安全和效率.
科学领域:
- 土木工程 土木工程是指土木工程.
- 地质技术工程 地质技术工程
- 在工程领域的人工智能.
背景情况:
- 精确控制屏蔽道的态度对于城市地下建筑的安全和质量至关重要.
- 超大直径的护盾道对传统的态度预测方法提出了复杂的挑战,原因是高精度需求和动态响应.
研究的目的:
- 开发和验证一个新的预测模型,用于盾道的态度控制.
- 解决传统方法在预测超大直径盾道挖掘过程中的复杂动态反应方面的局限性.
主要方法:
- 提出了一个LSTM-变压器预测模型,集成长期短期记忆 (LSTM) 网络和变压器的全球注意力机制.
- 该模型旨在预测四个关键的盾牌态度参数.
- 验证是使用江阴-金江长江河道项目现场数据进行的,并对现有模型进行比较分析.
主要成果:
- LSTM-变压器模型实现了高预测准确度,R2值为0.881和平均绝对误差 (MAE) 为2.24毫米.
- 功能重要性分析确定了优先考虑屏蔽态度调整的关键参数.
- 该模型在为态度偏差风险提供早期警告方面表现出有效性.
结论:
- 拟议的LSTM-变压器模型在盾牌态度预测准确性方面明显优于现有方法.
- 该模型为动态态控制提供了理论基础,并提高了建筑安全性和效率.
- 这项研究为类似的盾牌道项目提供了宝贵的理论支持和实践参考.
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