混凝土大变形预测模型,考虑到监测变量的时间延迟
Xin Cao1,2,3, Jinbao Sheng1,2,3, Chao Jiang4,5,6
1Nanjing Hydraulic Research Institute, Nanjing, 210029, Jiangsu, China.
Scientific reports
|March 12, 2025
概括
这项研究通过结合时间延迟的温度效应,提高了混凝土大变形预测. 一个新的LSTM模型准确预测结构反应,改善水健康评估.
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
- 结构健康监测 结构健康监测
背景情况:
- 混凝土水表现出复杂的,非线性反应与时间滞后.
- 变形监测对于评估水结构健康至关重要.
- 现有的模型很难准确地模拟大变形中的时间延迟效应.
研究的目的:
- 开发一个先进的混凝土大变形预测模型.
- 为了有效地考虑环境温度对水变形的时间延迟影响.
- 提高大结构健康评估的准确性和可靠性.
主要方法:
- 利用时间转移的相关系数和时间延迟的转移来分析信息传输和时间延迟.
- 开发了一种方法来确定温度因子尺寸及其时间延迟.
- 采用长期短期记忆 (LSTM) 神经网络,用于预测中断规范化.
主要成果:
- 拟议的模型表现出卓越的适配精度和预测能力.
- 有效地阐明了环境和大体温度对大变形的影响,包括时间滞后.
- 成功地将时间延迟效应集成到变形预测框架中.
结论:
- 开发的基于LSTM的模型通过结合时间延迟效应,显著改善了混凝土大变形预测.
- 准确的变形分析对于积极的结构健康监测和混凝土大的维护至关重要.
- 这种方法提供了一种更强大的方法来理解和预测在热影响下水的行为.
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