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Published on: February 23, 2024
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Communication framework for Hybrid Fire Testing: developments and applications in virtual and real environments.
Ana Sauca1, Chao Zhang1, Artur Chernovsky1
1National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD, 20899-8666, USA.
Summary
Hybrid fire testing combines physical and numerical analysis for structural fire safety. This method accurately predicts full-scale behavior, overcoming limitations of standard fire tests and impractical full-scale experiments.
Area of Science:
- Structural Engineering
- Fire Safety Engineering
- Computational Mechanics
Background:
- Traditional fire tests on structural members lack realism.
- Full-scale fire tests are accurate but impractical for widespread use.
- Hybrid Fire Testing offers a viable alternative to bridge the gap.
Purpose of the Study:
- To develop and present a MATLAB-based communication framework for Hybrid Fire Testing.
- To validate the developed framework through simulations of structural systems under fire loads.
- To highlight the significance of environmental factors and key parameters in hybrid fire testing.
Main Methods:
- Hybrid Fire Testing technique integrating physical substructures (PS) and numerical substructures (NS).
- Real-time communication framework enabling continuous updates of mechanical boundary conditions.
- Validation using a single degree of freedom system and a ten-story steel frame under design fire.
Main Results:
- Successful development and validation of the MATLAB communication framework for hybrid fire testing.
- Demonstrated the critical influence of the 'cold surrounding' effect on structural fire behavior.
- Identified time step and substructure stiffness as crucial parameters affecting test accuracy.
Conclusions:
- The developed communication framework enables reliable hybrid fire testing.
- Accurate structural fire response assessment requires considering ambient conditions alongside fire exposure.
- Optimizing parameters like time step and stiffness is essential for effective hybrid fire testing.

