Development of LoRa-based Wireless Sensing Technologies for Structural Health Monitoring
type: CreativeWork
description: As vital components of national service facilities, civil infrastructures must meet design standards for safety, sustainability, and longevity. However, the performance of struc- tures in long-term service can be compromised or even destroyed by ageing and natural calamities. Therefore, monitoring the integrity of these structures enables the owner, users, and other stakeholders to have a better understanding of the safety state, allowing them to better maintain and extend the service lives of these structures. Visual inspection is currently the most used non-destructive testing method, although it is unreliable, especially when monitoring huge structures and difficult-to-access locations. The Structural Health Monitoring (SHM) system can be a useful instrument for monitoring and evaluating structural performance. It refers to the process of adopting a strategy for structural damage detection. A typical SHM system operating procedure includes the monitoring of dynamic response via a sensory system, the extraction of damaged physical features, and the analysis of gathered data to determine the condition of the monitored structure. Strain is a metric that has a direct relationship with stress and deflection. In other words, aberrant structural symptoms, such as damage and degeneration, typically manifest as strain field anomalies. Hence, the objective of this research is to build a new strain-based wireless sensory system for an integrated SHM system. Due to the strain gauge’s extensibility and high sensitivity, it is feasible to monitor the progression of local damage across a small area at an early stage. Besides, by incorporating strain-based sensors into the wireless sensor network design model, the SHM system’s integration and management scope will be expanded to include the underlying sensor equipment and the user- graphical interface for monitoring data visualization, thereby achieving the integration of real-time monitoring and rapid evaluation of the structur…
abstract: As vital components of national service facilities, civil infrastructures must meet design standards for safety, sustainability, and longevity. However, the performance of struc- tures in long-term service can be compromised or even destroyed by ageing and natural calamities. Therefore, monitoring the integrity of these structures enables the owner, users, and other stakeholders to have a better understanding of the safety state, allowing them to better maintain and extend the service lives of these structures. Visual inspection is currently the most used non-destructive testing method, although it is unreliable, especially when monitoring huge structures and difficult-to-access locations. The Structural Health Monitoring (SHM) system can be a useful instrument for monitoring and evaluating structural performance. It refers to the process of adopting a strategy for structural damage detection. A typical SHM system operating procedure includes the monitoring of dynamic response via a sensory system, the extraction of damaged physical features, and the analysis of gathered data to determine the condition of the monitored structure. Strain is a metric that has a direct relationship with stress and deflection. In other words, aberrant structural symptoms, such as damage and degeneration, typically manifest as strain field anomalies. Hence, the objective of this research is to build a new strain-based wireless sensory system for an integrated SHM system. Due to the strain gauge’s extensibility and high sensitivity, it is feasible to monitor the progression of local damage across a small area at an early stage. Besides, by incorporating strain-based sensors into the wireless sensor network design model, the SHM system’s integration and management scope will be expanded to include the underlying sensor equipment and the user- graphical interface for monitoring data visualization, thereby achieving the integration of real-time monitoring and rapid evaluation of the structur…
author: Zhang, Hui
date published: 2024
date modified: 2026-07-27T18:46:23Z
provider: AUT University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: AUT University