|Table of Contents|

Development, design and verification of an intelligent repair platform for engineering structures based on self-prestressing Fe-SMA(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2025年4期
Page:
141-152
Research Field:
桥梁与隧道工程
Publishing date:

Info

Title:
Development, design and verification of an intelligent repair platform for engineering structures based on self-prestressing Fe-SMA
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)
Keywords:
bridge engineering;  intelligent repair platform;  self-prestressing repair;  Fe-SMA;  thermal activation
PACS:
TU502.6
DOI:
10.19721/j.cnki.1671-8879.2025.04.012
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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Last Update: 2025-07-25