使用非侵入式传感器缓解遗产桥梁的风险
Ricky W K Chan1, Takahiro Iwata2
1School of Engineering, RMIT University, Melbourne 3000, Australia.
Sensors (Basel, Switzerland)
|June 27, 2025
概括
本研究提出了一个数字双胞胎方法来评估遗产钢筋混凝土桥的风险. 它引入了六个阶段的框架,用于管理事件,并确保历史性桥梁的长期保护.
科学领域:
- 结构工程 结构工程
- 遗产保护 遗产保护 遗产保护
- 风险管理 风险管理
背景情况:
- 遗产桥梁面临着独特的保护挑战,平衡结构完整性与保护约束.
- 澳大利亚早期的钢筋混凝土桥梁是关键的基础设施,需要强大的管理策略.
- 这项研究重点关注一座120年历史的遗产桥,该桥面临交通,环境因素和基础问题的风险.
研究的目的:
- 调查一个被列入遗产名录的钢筋混凝土桥的风险减轻策略.
- 开发和验证用于模拟风险场景的数字双胞胎模型.
- 为遗产桥梁管理提出事件响应框架.
主要方法:
- 非侵入性测试,包括环境振动测试和激光位移监测.
- 使用现场数据开发和验证数字双胞胎结构模型.
- 在数字双胞胎上进行"假设"场景模拟,以评估超重车辆和冲洗等风险.
主要成果:
- 数字双胞胎模型准确地代表了桥梁在各种条件下的行为.
- 对于关键场景,进行了定量风险评估.
- 基于案例研究的见解,开发了一个六阶段的事件响应框架.
结论:
- 数字双胞胎技术为评估和管理遗产桥梁风险提供了一个强大的工具.
- 拟议的事件响应框架为遗产桥梁保护提供了一个结构化的方法.
- 有效的风险缓解对于保持遗产桥梁资产的功能和寿命至关重要.
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