作者
Mohammad Reza Khosravani, Sara Nasiri, Denis Anders, Kerstin Weinberg
发表日期
2019/1/1
期刊
Advances in Engineering Software
卷号
127
页码范围
51-58
出版商
Elsevier
简介
Significant advances in new generation of concrete led to construction of ultra-high performance concrete (UHPC). Since the demands of this engineering cementitious material have been increased, investigation on mechanical behaviour of this material is an interesting topic in today’s research programs. Over the years, strain-rate sensitive behavior of UHPC material has been studied by experimental tests. In the current research, an artificial intelligence (AI) system is implemented which can predict dynamic mechanical properties of UHPCs constructed by various mixtures. This system is able to predict elastic modulus, compressive strength and tensile strength, all under high rate of loading. The system is developed within the framework of case-based reasoning (CBR) methodology as a problem-solving AI method. CBR is a learning methodology which utilizes similar previous cases to solve particular new …
引用总数
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