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dc.contributor.authorPham, Thong
dc.contributor.authorHao, H.
dc.date.accessioned2017-01-30T15:21:57Z
dc.date.available2017-01-30T15:21:57Z
dc.date.created2016-12-18T19:31:12Z
dc.date.issued2016
dc.identifier.citationPham, 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.urihttp://hdl.handle.net/20.500.11937/45590
dc.identifier.doi10.1177/1369433216649384
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.publisherMulti-Science Publishing
dc.titlePrediction of the impact force on reinforced concrete beams from a drop weight
dc.typeJournal Article
dcterms.source.volume19
dcterms.source.number11
dcterms.source.startPage1710
dcterms.source.endPage1722
dcterms.source.issn1369-4332
dcterms.source.titleAdvances in Structural Engineering
curtin.departmentDepartment of Civil Engineering
curtin.accessStatusFulltext not available


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