使用真实工程数据与物理约束相结合,研究结构破裂的框架
Han Si1, Qidi Wang1, Xin Ruan2,3
1Department of Bridge Engineering, College of Civil Engineering, Tongji Univ, 1239 Siping Rd, Shanghai, 200092, China.
Scientific reports
|February 21, 2025
概括
本研究引入了一种数据驱动的框架,通过分析建筑数据来评估工程结构安全性. 它有助于识别结构缺陷,并提供优化建议以提高安全性.
科学领域:
- 工程 工程师 工程师 工程师
- 数据科学数据科学数据科学
- 结构健康监测 结构健康监测
背景情况:
- 传统的结构分析方法在描述结构条件和利用建筑数据方面存在局限性.
- 准确的结构状况评估对于确保工程结构的安全性和寿命至关重要.
研究的目的:
- 提出一种新的数据驱动分析框架,用于对结构缺陷的多因素评估.
- 整合完整的生命周期数据,以全面了解结构状况.
主要方法:
- 结合物理原理,缩小维度和集体学习模型.
- 用完整的生命周期数据 (材料,环境,施工过程) 来进行模型构建.
- 建立建筑数据和结构状况之间的映射关系.
主要成果:
- 该框架成功构建了对混凝土结构裂的评估模型.
- 证明了将建筑数据映射到结构条件的能力.
- 整合了来自不同建设阶段的累积指标,以获得整体的视图.
结论:
- 数据驱动的框架为复杂的结构问题提供了有价值的分析视角.
- 为描述结构安全条件和优化建议提供参考.
- 强调利用建筑数据提高结构安全的重要性.
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