Back to Search
Start Over
Experimental testing and numerical modeling of steel frames under close-in detonations
- Source :
- Procedia Engineering. 210:377-385
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- Even though blast events in inhabited areas are characterized by a low probability of occurrence, they can present a high risk for buildings and their occupants. The means to reduce the vulnerability and prevent the progressive collapse of buildings includes large stand-offs, enhanced local strength of structural elements, and increased redistribution capacity after a local damage. Blasts are extremely complex events, especially when the charge is detonated at a small distance from the building. In such cases, the application of analytical methods may give inaccurate results. The paper presents the results of a combined experimental/numerical program, which focused on the response of steel frames to close-in detonations. Two identical specimens were tested inside a specialized bunker for different charge sizes and stand-off distances. Very similar behaviors and failure modes were observed for the two specimens. The numerical model, calibrated against test data, was able to accurately predict the deformations and failure mode of the specimens. The results of the parametric numerical study indicated that the local failure mechanism and resistance to progressive collapse of steel building frames depend very much on the blast load parameters but also on the level of gravity loads in columns.
- Subjects :
- business.industry
Blast load
0211 other engineering and technologies
Numerical modeling
Local failure
020101 civil engineering
Progressive collapse
02 engineering and technology
General Medicine
Structural engineering
0201 civil engineering
Experimental testing
021105 building & construction
business
Failure mode and effects analysis
Geology
Parametric statistics
Test data
Subjects
Details
- ISSN :
- 18777058
- Volume :
- 210
- Database :
- OpenAIRE
- Journal :
- Procedia Engineering
- Accession number :
- edsair.doi...........c638139b0257fe31164839fdf44e6b7a