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Reduced-Order Modeling of Composite Floor Slabs in Fire. I: Heat-Transfer Analysis
Jian Jiang1, Joseph A Main1, Jonathan M Weigand1
1Research Structural Engineer, Engineering Laboratory, National Institute of Standards and Technology, 100 Bureau Dr., Mail Stop 8611, Gaithersburg, MD 20899-8611.
A new numerical model simplifies heat transfer analysis in composite floor slabs under fire. This reduced-order approach accurately predicts thermal behavior in fire-exposed composite slabs with profiled steel decking.
Area of Science:
- Structural Engineering
- Fire Safety Engineering
- Computational Mechanics
Background:
- Composite floor slabs with profiled steel decking are common in construction.
- Accurate thermal analysis of these structures under fire conditions is crucial for safety.
- Existing detailed models can be computationally intensive.
Purpose of the Study:
- To develop a reduced-order numerical modeling approach for analyzing heat transfer in composite floor slabs exposed to fire.
- To simplify the complex geometry of profiled steel decking for thermal analysis.
- To validate the proposed model against experimental data.
Main Methods:
- Utilized a layered thick-shell formulation with alternating shell elements for thick and thin slab portions.
- Incorporated a linear density reduction in concrete within the rib to account for tapered profiles.
- Adjusted concrete specific heat in the rib to indirectly model heat input from the decking web.
- Determined an optimal ratio for modified concrete specific heat based on slab geometry.
Main Results:
- The reduced-order model effectively captures in-plane and through-thickness heat transfer.
- The approach successfully accounts for the geometric complexities of profiled steel decking.
- The model's predictions show good agreement with experimental results, validating its accuracy.
Conclusions:
- The developed reduced-order numerical modeling approach provides an efficient and accurate method for analyzing heat transfer in composite floor slabs under fire.
- This method simplifies complex geometries, reducing computational cost while maintaining predictive capability.
- The validated model can aid in the fire safety design and assessment of composite structures.
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