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在役桥梁承载力模糊可靠性的马尔科夫预测
引用本文:吕颖钊,贺拴海.在役桥梁承载力模糊可靠性的马尔科夫预测[J].长安大学学报(自然科学版),2005,25(4):39-43.
作者姓名:吕颖钊  贺拴海
作者单位:长安大学,桥梁与隧道陕西省重点实验室,陕西,西安,710064
基金项目:国家西部交通建设科技项目(200231822329)
摘    要:基于模糊评价和马尔科夫过程,研究了在役桥梁承载力可靠度的时变规律。根据模糊评价理论,确定桥梁承载力状况分布向量,引入马尔科夫过程方法,构造结构状态转移概率矩阵。借鉴时间-空间转换思想,提出一种基于逆阵的改进方法用于计算转移概率矩阵,并给出利用桥梁当前承载力状况分布向量修正转移概率矩阵的方法。针对新建桥梁、在役桥梁以及考虑加固的桥梁分别给出其承载力可靠度分布向量预测公式,并提出承载力预测指标。算例表明,该方法可实现桥梁承载力的可靠度预测。

关 键 词:桥梁工程  在役桥梁  承载力  预测  模糊评价  马尔科夫过程  转移概率矩阵
文章编号:1671-8879(2005)04-0039-05
收稿时间:2004-09-20
修稿时间:2004年9月20日

Prediction of Markov fuzzy reliability for existing bridge
L Ying-zhao,HE Shuan-hai.Prediction of Markov fuzzy reliability for existing bridge[J].JOurnal of Chang’an University:Natural Science Edition,2005,25(4):39-43.
Authors:L Ying-zhao  HE Shuan-hai
Institution:L(U) Ying-zhao,HE Shuan-hai
Abstract:The time-varying reliability of existing bridge on bearing capacity was discussed based on fuzzy evaluation and Markov process. According to fuzzy evaluation theory, the distributing vector of bridge condition on bearing capacity was determined. And with the idea of time-space transition, the transition probability matrix of bridge condition was calculated by an improved inversion method. The transition probability matrix was amended according to the initial and current distributing vectors of bridge condition. The distributing vector of bridge condition on bearing capacity was predicted for new bridge, existing bridge and the bridge undergoing reinforcement. A new prediction index was put forward. The method was applied successfully in practical examination. 1 tab, 2 figs, 8 refs.
Keywords:bridge engineering  existing bridge  bearing capacity  prediction  fuzzy evaluation  Markov process  transition probability matrix
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