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Wireless Network for Assessing Temperature Load of Large-Scale Structures Under Fire Hazards.
Robin E Kim1, Kiho In2, Inhwan Yeo3
1Korea Institute of Civil Engineering and Building Technology; Goyang-Si 10223, Korea. robineunjukim@kict.re.kr.
A new wireless temperature sensor framework monitors high-rise building integrity during fires. This system allows real-time assessment of structural load redistribution, enhancing fire safety engineering.
Area of Science:
- Structural Engineering
- Fire Safety Engineering
- Wireless Sensor Networks
Background:
- High-rise buildings face significant risks from structure fires, potentially leading to failure or collapse.
- Assessing structural integrity during and after fires is crucial for safety.
- Existing wireless temperature monitoring solutions lack real-time load redistribution assessment.
Purpose of the Study:
- To propose a novel framework using temperature sensors and wireless communication for monitoring large-scale structures during fires.
- To develop user-friendly hardware and software for effective fire load measurement.
- To enable real-time assessment of structural integrity and load redistribution.
Main Methods:
- Development of a framework integrating temperature sensors and wireless communication technology.
- Careful selection and development of associated hardware and software components.
- Validation of the framework's autonomous measurement system in a fire testing laboratory using a real-scale steel column under standard fire conditions.
Main Results:
- The framework successfully provided autonomous measurement capabilities.
- User-definable sampling frequencies based on surface temperature were achieved.
- Real-time assessment of load redistribution due to fire loading was demonstrated.
Conclusions:
- The developed framework shows great potential for real-time structural fire monitoring.
- It allows for more accurate estimations of fire load in design criteria.
- The system advances the field of fire safety engineering by providing critical real-time data.
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