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Structural Health Monitoring

Structural Health Monitoring (SHM) refers to the process of implementing strategies
​to detect damage in civil and architectural structures.

The SHM process generally involves the following steps:
  • The observation of a system over time using periodically sampled dynamic response measurements from an array of sensors.
  • Identification of damage-sensitive regions based on the measured data
  • Statistical analysis of the identified regions to assess the current state of structural integrity
The outcome of this process provides periodically updated information regarding the degradation of structural performance due to aging and environmental effects, thereby ensuring long-term structural safety.
SHM is particularly valuable in providing real-time, reliable assessments of structural conditions following extreme natural events such as earthquakes or typhoons.
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​Collapse of Sungsu Bridge (Korea, 2004) could have been  prevented by SHM

​STRUCTURAL HEALTH MONITORING PROCESS

​Structural Health Monitoring process includes:

1. Operational evaluation
Defines the damage to be detect and begins to answer questions regarding implementation issues for a structural health monitoring system.

2. Data acquisition
Defines the sensing hardware and the data to be used in the feature extraction process.

3. Feature extraction
The process of identifying damage-related information from measured data.

4. Statistical model development for feature discrimination
Classifies feature distributions into damaged or undamaged category.
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​Data Cleansing
Data Normalization
Data Fusion
Information Condensation
(implemented by software and/or hardware)

WIRELESS SMART SENSOR NETWORKS

​Recent advanced sensor technologies have enabled SHM using wireless smart sensor networks (WSSNs), which is a promising alternative to the traditional wired SHM approaches. The smart sensors are typically small, inexpensive, and capable of wireless communication and onboard computation, addressing many of the concerns regarding wired monitoring. For example, easy installation and the associated reduction of installation cost, multi-hop communication, and decentralized in-network data processing are available with recent advances of WSSN; these attractive features enable the development of scalable monitoring systems and dense sensor networks. 

TESolution has extensive experience in setting up Monitoring System with wired/wireless sensors and also has proven track record of System Identification for structures for installation of vibration control devices as well as System Identification to check the performance of the vibration control device after the installation.
Most recently, TESolution won the bid for the Monitoring System for the Spoke Cables(including provision of 192 Xnode Smart Sensors) of a giant ferris wheel currently being built in Dubai. 

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​WSSN for Jindo bridge monitoring (Korea, 2009~2012)

​​EXAMPLE OF FIELD APPLICATION

​ 4th Songdo Bridge (2015)

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moving load measurement test for the vehicles

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The test result of the moving load

​Giant Observation Wheel under construction in Dubai  (2016)

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Giant Ferris Wheel in Dubai
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​           Xnode Smart Sensor
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​          Clamping & Shading
TESolution
​Total Engineering Solution in Wind Engineering and Vibration Control
142 Seungjin-gil, Gongdo-eup, Anseong-si, Gyeonggi-do, 17563, Korea

Tel :  82-31-658-2906
Fax : 82-31-658-2908
Contact : [email protected]

​Copyright © 2016 TESolution
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  • Home
  • About
    • CEO Message
    • History
    • Team
    • Certificate
    • CTBUH 2017
    • Location
  • Solutions
    • Vibration Control Technology
    • Wind Tunnel Test for Bridges
    • Wind Tunnel Test for Buildings
    • Computational Wind Engineering
    • Structural Health Monitoring​
  • Projects
    • Feature Projects
    • Feature Projects - Vibration Control Devices
    • Feature Projects - Wind Tunnel Tests
    • Track Record
  • Facilities
    • Vibration Control Facilities
    • Wind Tunnel Facilities
    • Equipment
    • Vibration Exciters
  • News
  • Contact
  • Site Map