摘要
为研究多种应变速率、不同荷载比例下混凝土强度的变化规律,利用大型混凝土静、动三轴试验系统对混凝土立方体试件进行双向应力状态下的动态试验,在取得的大量试验数据基础上,探讨混凝土动态试验中的数据处理方法.针对混凝土受力状态复杂、其动态强度的影响因素众多等特点,提出利用人工神经网络方法来综合量化多种因素与混凝土动态特性之间的数学关系.通过与传统动态试验数据分析方法进行比较后得出:利用人工神经网络来分析多种因素影响下的混凝土动态特性,是一种简便、适用的新方法,具有良好的应用前景.
Experimental program on cubic concrete specimens was conducted using a servo - hydraulic multi - axial testing machine to investigate the dynamic properties of concrete in biaxial stress states. The data processing method to deal with the obtained data in the experiment was discussed. Considering the limitations of conventional data processing method, the artificial neural network method was adopted to process the multifactor dynamic properties of concrete. By comparing with the conventional data analysis method, it is proved that the artificial neural network method is more simple and effective in dealing with the complex dynamic properties of concrete and can be used widely in engineering practice.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2009年第6期160-163,共4页
Journal of Harbin Institute of Technology
基金
国家自然科学基金资助项目(50139010
50809064)
关键词
应变率
双轴
抗压强度
神经网络
混凝土
strain rate
biaxial
compressive strength
neural network
concrete
