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基于GM(1,1)-Markov模型的桥梁耐久性预测
引用本文:孙俊祖,刘其伟.基于GM(1,1)-Markov模型的桥梁耐久性预测[J].江南大学学报(自然科学版),2009,8(4):449-452.
作者姓名:孙俊祖  刘其伟
作者单位:东南大学,交通学院,江苏,南京,210096
摘    要:为了使桥梁管养部门能够以最低的成本进行养护维修,提出了将GM(1,1)-Markov模型应用于桥梁耐久性预测中,GM(1,1)-Markov模型将灰色理论与马尔可夫链有机结合起来,利用二者的优点充分反映桥梁耐久性状况的整体退化趋势与呈现波动的特性,最大限度地利用历史信息,解决了传统的退化模型和概率模型无法考虑不确定因素对桥梁耐久性状况的影响和局限性问题.最后通过对江苏省高速公路上某桥的耐久性状况进行预测分析,介绍了其在项目实践中的应用.

关 键 词:桥梁  耐久性  预测  灰色理论  马尔科夫链

Research on GM(1,1)-Markov Model for Prediction of Bridge Durable Condition
SUN Jun-zu,LIU Qi-wei.Research on GM(1,1)-Markov Model for Prediction of Bridge Durable Condition[J].Journal of Southern Yangtze University:Natural Science Edition,2009,8(4):449-452.
Authors:SUN Jun-zu  LIU Qi-wei
Institution:College of Transportation;Southeast University;Nanjing 210096;China
Abstract:With increasing age,the bridge durable condition prediction is becoming essential for bridge management authority to enable bridge to be maintained at minimum overall cost.The GM(1,1)-Markov Model is a model combining Markov Model with Grey Model(1,1).When predicting,GM(1,1) represents the total deterioration tendency of bridge.Markov Model will take into account other uncertain factors leading to bridge condition improvement such as maintenance.This model,to some extent,settled the limitation of convention...
Keywords:bridge  durability  prediction  gray theory  Markov chain  
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