挖掘引发的道变形实时预测系统及其应用
Jing Wang1, Dajiang Geng2,3, Zongli Luo2,3
1School of Civil Engineering, Chongqing Industry Polytechnic College, Chongqing, China.
Science progress
|June 18, 2025
概括
本研究介绍了一种实时系统,用于预测基础坑挖掘期间的道变形. 该框架使用分析模型和神经网络准确预测地面运动,有助于城市道安全.
科学领域:
- 地质技术工程 地质技术工程
- 道工程工程 道工程
- 计算力学 计算力学 计算力学
背景情况:
- 基础坑挖掘对邻近道的稳定性产生重大影响.
- 准确的实时预测道变形对于城市基础设施安全至关重要.
- 现有的方法往往缺乏动态挖掘场景的精度.
研究的目的:
- 开发一个实时预测框架,用于道变形由基础坑挖掘诱导.
- 将分析解决方案与反向传播神经网络集成,以准确识别参数.
- 用现实世界道项目现场数据验证框架的性能.
主要方法:
- 基于双阶段卸载方法的分析解决方案和Mindlin的解决方案被采用.
- 道变形被模拟为双面弹性基础上的梁.
- 通过训练一个反向传播的神经网络,使用现场监测数据识别五个关键机械参数.
主要成果:
- 预测框架与道位移的现场测量有很强的一致性.
- 最大的相对误差为21.82% (垂直) 和1.95% (水平).
- 始终保持高预测准确度,除了在移位趋势逆转期间.
结论:
- 拟议的方法可靠地预测挖掘引起的道变形.
- 实时预测系统适用于城市道中的积极风险管理.
- 这一框架在复杂的地下建筑项目中提高了安全性和效率.
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