Prediction of the impact force on reinforced concrete beams from a drop weight
dc.contributor.author | Pham, Thong | |
dc.contributor.author | Hao, H. | |
dc.date.accessioned | 2017-01-30T15:21:57Z | |
dc.date.available | 2017-01-30T15:21:57Z | |
dc.date.created | 2016-12-18T19:31:12Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Pham, T. and Hao, H. 2016. Prediction of the impact force on reinforced concrete beams from a drop weight. Advances in Structural Engineering. 19 (11): pp. 1710-1722. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/45590 | |
dc.identifier.doi | 10.1177/1369433216649384 | |
dc.description.abstract |
It is always a challenge to efficiently and accurately estimate the force on structures from falling objects. This study aims to predict the maximum impact force on reinforced concrete beams subjected to drop-weight impact using artificial neural network. A new empirical model including a comprehensive version and a simplified version is proposed to estimate the maximum impact force. The model was verified against a database collected from the literature including 67 reinforced concrete beams tested under drop-weight impacts. The database covers the concrete strengths ranging from 23 to 47 MPa, the projectile mass from 150 to 500 kg, and the impact velocity up to 9.3 m/s. The prediction of the comprehensive version of the proposed model fits the experimental results very well with an average absolute error of 11.6%. The simplified version of the proposed model is established for easy estimation, with the average error of 23.2% in prediction of the maximum impact force. | |
dc.publisher | Multi-Science Publishing | |
dc.title | Prediction of the impact force on reinforced concrete beams from a drop weight | |
dc.type | Journal Article | |
dcterms.source.volume | 19 | |
dcterms.source.number | 11 | |
dcterms.source.startPage | 1710 | |
dcterms.source.endPage | 1722 | |
dcterms.source.issn | 1369-4332 | |
dcterms.source.title | Advances in Structural Engineering | |
curtin.department | Department of Civil Engineering | |
curtin.accessStatus | Fulltext not available |
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