文献类型：会议论文

英文题名：Fatigue Life Prognosis of Concrete Using Extended Grey Markov Model

作者：Zhu, Chao[1];Yang, Wenbing[1];Wang, Huilong[1]

机构：[1]Shaoxing Univ, Sch Yuanpei, Dept Econ & Management, Shaoxing, Peoples R China

会议论文集：International Conference on Applied Mechanics and Materials (ICAMM 2012)

会议日期：NOV 24-25, 2012

会议地点：Sanya, PEOPLES R CHINA

语种：英文

外文关键词：Prognosis; grey model; particle swarm optimization algorithm; building materials; fatigue

外文摘要：The fatigue life prognosis of concrete is becoming more important with the development for demanding higher quality and safety in industrial. However, effective methods for this prognosis are still in need now, due to the feature of concrete. This paper proposes the extended grey Markov model (i.e. EGMM) for fatigue life prognosis of concrete. Firstly, the GM (1, 1, lambda(1), lambda(2)) (i.e. EGM) is proposed by integrating the particle swarm optimization algorithm (PSOA) with GM (1, 1) (i.e. GM). Then the Markov model is integrated with EGM and a novel prognosis method of the extended grey Markov model is proposed. The EGMM is used to combine the health states and transition probability. And a real case study is used to demonstrate the implementation and potential applications of the proposed fatigue life prognosis approach on concrete.