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/lp/sage/prediction-of-the-impact-force-on-reinforced-concrete-beams-from-a-t1kdW7IdGx
- Publisher
- SAGE
- Copyright
- © The Author(s) 2016
- ISSN
- 1369-4332
- eISSN
- 2048-4011
- DOI
- 10.1177/1369433216649384
- Publisher site
- See Article on Publisher Site
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.
Journal
Advances in Structural Engineering – SAGE
Published: Nov 1, 2016