Journal Published Online: 05 August 2019
Volume 8, Issue 1

Impact Resistance of Steel Fiber-Reinforced Concrete Panels Using Genetic Algorithm Optimization

CODEN: ACEMF9

Abstract

In designing protective concrete structures, optimum response against projectile impact is achieved by minimizing damage and, more importantly, controlling its failure mode to ensure life safety. Recently, steel fiber–reinforced concrete (SFRC) has gained attention for its superior toughness and damage control against impact loads. However, in designing SFRC panels to protect against projectile impact, a knowledge gap exists in the selection of optimum parameters, such as steel fiber volumetric fraction, maximum aggregate size, and panel thickness. To fill this gap, this article proposes a model that is capable of predicting SFRC response to impact loading using an artificial neural network. This model has been introduced to a multiobjective genetic algorithm to optimize the SFRC panel design against a given impact energy. Simple guidelines for the selection of optimum thickness, steel fiber volumetric fraction, and aggregate size are developed.

Author Information

Al Rjoub, Yousef S.
Civil Engineering Department, Jordan University of Science and Technology, Irbid, Jordan
Hijazi, Moheldeen A.
Civil Engineering Department, Jordan University of Science and Technology, Irbid, Jordan
Pages: 14
Price: $25.00
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Details
Stock #: ACEM20190068
ISSN: 2379-1357
DOI: 10.1520/ACEM20190068