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Studies Conducted at Department of Civil Engineering on Networks Recently Reported (Development of Neural Network-based Asphalt Mix Design Parameters Prediction Tool)

机译:土木工程系最近报道的网络研究(基于神经网络的沥青混合料设计参数预测工具的开发)

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By a News Reporter-Staff News Editor at Network Daily News – Investigatorsdiscuss new findings in Networks. According to news reporting from Adana, Turkey, by NewsRx editors,the research stated, “Mix design of asphalt concrete is carried out in order to produce a mixture of asphaltbitumen and aggregate that satisfies both minimum design requirements and cost-effectiveness. Marshallmix design, similar to other mix design methods, aims to determine an optimum mix for a given designcriteria, having an optimum bitumen content, and has still been one of the most used asphalt mix designmethod in the world.”
机译:作者:网络每日新闻的新闻记者-新闻编辑 - 调查人员讨论网络中的新发现。根据NewsRx编辑在土耳其阿达纳的新闻报道,该研究指出,“沥青混凝土的混合设计是为了生产出满足最低设计要求和成本效益的沥青沥青和骨料的混合物。马歇尔混合料设计与其他混合料设计方法类似,旨在为给定的设计标准确定最佳混合料,具有最佳沥青含量,并且仍然是世界上最常用的沥青混合料设计方法之一。

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