[1]董志强,崔础石,孙 瑜,等.基于自预应力Fe-SMA的工程结构智慧修复平台开发设计与验证[J].长安大学学报(自然科学版),2025,45(4):141-152.[doi:10.19721/j.cnki.1671-8879.2025.04.012]
　DONG Zhi-qiang,CUI Chu-shi,SUN Yu,et al.Development, design and verification of an intelligent repair platform for engineering structures based on self-prestressing Fe-SMA[J].Journal of Chang’an University (Natural Science Edition),2025,45(4):141-152.[doi:10.19721/j.cnki.1671-8879.2025.04.012]
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基于自预应力Fe-SMA的工程结构智慧修复平台开发设计与验证()
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长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
第45卷
期数:
2025年4期
页码:
141-152
栏目:
桥梁与隧道工程
出版日期:
2025-07-30

文章信息/Info

Title:
Development, design and verification of an intelligent repair platform for engineering structures based on self-prestressing Fe-SMA
文章编号:
1671-8879(2025)04-0141-12
作者:
董志强; 崔础石; 孙 瑜; 朱 虹; 吴 刚; 李儒雅
(东南大学 土木工程学院,江苏 南京 211189)
Author(s):
DONG Zhi-qiang;  CUI Chu-shi;  SUN Yu;  ZHU Hong;  WU Gang;  LI Ru-ya
(School of Civil Engineering, Southeast University, Nanjing 211189, Jiangsu, China)
关键词:
桥梁工程;  智慧修复平台;  自预应力修复;  Fe-SMA;  升温激励
Keywords:
bridge engineering;  intelligent repair platform;  self-prestressing repair;  Fe-SMA;  thermal activation
分类号:
TU502.6
DOI:
10.19721/j.cnki.1671-8879.2025.04.012
文献标志码:
A
摘要:
针对土木工程领域长期存在的结构健康监测/评估技术与作业修复技术脱节、修复响应滞后问题,构建基于铁基形状记忆合金(Fe-SMA)自预应力技术的工程结构智慧修复平台框架。该平台以Fe-SMA为核心功能材料,通过高温激励产生的回复应力实现损伤结构主动修复; 平台集成监测/检测模块、模型计算模块和作业修复模块,依托数据传输与功能调用实现模块协同,实现结构前端监测、中段评估与末端修复的全过程智慧化。为验证平台有效性,以有机玻璃模型梁桥为对象,设计“跨中集中加载诱发病害、后端模块评估计算、Fe-SMA筋激励修复”的验证试验,并针对智慧修复平台提出一系列优化建议。研究结果表明:智慧修复平台可实时监测模型梁状态; 损伤达到阈值后自动触发评估计算,反演出恢复结构健康所需施加的预应力值及Fe-SMA筋激励参数等; 基于Fe-SMA自预应力的主动修复能使结构恢复健康状态,并详细展示平台在相应工况下的响应界面。
Abstract:
To address the persistent disconnection between structural health monitoring/evaluation technologies and repair execution technologies in civil engineering, along with the issue of delayed repair response, an intelligent repair platform for engineering structures based on self-prestressing iron-based shape memory alloy(Fe-SMA)was developed. Within this platform, Fe-SMA served as the core functional material, enabling active repair of damaged structures via recovery stress induced through thermal activation. The platform integrated three modules: monitoring/detection module, a model calculation module, and an operation/repair module. Module collaboration was realized through data transmission and functional invocation, achieving intelligent automation across the entire process encompassing front-end monitoring, mid-process assessment, and terminal repair. To validate the effectiveness of the platform, a verification experiment was conducted using a plexiglass model beam bridge. The experiment was designed with a three-phase procedure: inducing damage via mid-span concentrated loading, computational assessment by the model calculation module, and repair execution through Fe-SMA rebar activation. A series of optimization suggestions for the intelligent repair platform were also proposed. The research results indicate that the intelligent repair platform can monitor the state of the model beam in real-time; upon the damage reaching a threshold, the assessment calculation is automatically triggered, inversely computing the prestress value required to restore structural health and the Fe-SMA activation parameters; active repair based on Fe-SMA self-prestressing enables the structure to recover to a healthy state; the response interfaces of the platform under the corresponding working conditions are detailedly presented. 1 tab, 9 figs, 41 refs.

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备注/Memo

备注/Memo:
收稿日期:2025-01-23
基金项目:江苏省优秀青年基金项目(BK20230088); 国家自然科学基金项目(52378139,52478307)
作者简介:董志强(1990-),男,安徽芜湖人,副教授,工学博士,E-mail:zhiqiang.dong@seu.edu.cn。
通信作者:朱 虹(1975-),女,江苏兴化人,教授,工学博士,E-mail:alice_zhuhong@seu.edu.cn。
更新日期/Last Update: 2025-07-25