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混凝土冻融损伤特性的神经网络研究
引用本文:孙海明,商怀帅.混凝土冻融损伤特性的神经网络研究[J].烟台大学学报(自然科学与工程版),2009,22(2):147-151.
作者姓名:孙海明  商怀帅
作者单位:1. 烟台市莱山公路管理局,山东,烟台,264003
2. 山东省建筑科学研究院,山东,济南250031
基金项目:中国博士后科学基金,中国博士后特别资助基金,山东省优秀中青年科学家科研奖励基金 
摘    要:根据连续介质损伤力学理论,将混凝土的冻融损伤定义为抗压强度的劣化;研究在经历不同冻融循环次数后混凝土损伤的演化规律.首次运用RBF神经网络的理论和方法,建立了混凝土在不同冻融循环次数作用下抗压强度劣化的神经网络模型,对混凝土冻融损伤特性进行了研究.本文的工作为复杂应力状态下经受冻融循环作用的普通混凝土的损伤特性提供了一个崭新的研究途径.

关 键 词:混凝土  冻融循环  神经网络  冻融损伤

Investigation of Freeze-Thaw Damage of Concrete by Artificial Neural Network
SUN Hai-ming,SHANG Huai-shuai.Investigation of Freeze-Thaw Damage of Concrete by Artificial Neural Network[J].Journal of Yantai University(Natural Science and Engineering edirion),2009,22(2):147-151.
Authors:SUN Hai-ming  SHANG Huai-shuai
Institution:SUN Hai-ming,SHANG Huai-shuai (1. Highway Admistristion in Laishan, Yantai 264003, China; 2. Shandong Provincial Academy of Building Research, Jinan 250031, China)
Abstract:Based on the theory of continuum damage mechanics, the freeze-thaw damage of concrete is defined as the reduction of compressive strength. The rule of damage evolution after freeze-thaw cycles is investigated with radial basis function (RBF) neural network. The neural network model for the compressive strength damage of concrete after different times of freeze-thaw cycles is put forward. The characteristic of freeze-thaw damage of concrete is studied. It turns out that the RBF neural network is a new approach to evaluate the freeze- thaw damage of concrete under complex stress state.
Keywords:concrete  freeze-thaw cycles  neural network  freeze-thaw damage
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