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寿命期内钢筋混凝土连续梁体系可靠度分析
引用本文:田浩,陈艾荣.寿命期内钢筋混凝土连续梁体系可靠度分析[J].同济大学学报(自然科学版),2011,39(8):1105-1112.
作者姓名:田浩  陈艾荣
作者单位:1. 同济大学桥梁工程系,上海 200092;浙江省交通科学研究所,浙江杭州 310006
2. 同济大学桥梁工程系,上海,200092
基金项目:国家“八六三”高技术研究发展计划(2007AA11Z104),上海市科委各类项目(072112005),交通部西部交通建设科技资助项目(2006 318 223 02-01)
摘    要:建立了一种基于概率和有限元的寿命期内钢筋混凝土桥梁性能演变分析方法.在重点解决材料力学性能退化、截面面积削弱以及结构整体力学性能演变等问题数值模拟方法的基础上编写了耐久性分析程序CBDAS;根据现有研究成果建议了结构性能演变分析中出现的主要随机变量的统计参数;结合CBDAS和Monte-Carlo模拟建立了钢筋混凝土桥梁时变体系可靠度分析方法.最后,以一座钢筋混凝土连续梁为对象,利用时变体系可靠度研究其在氯离子侵蚀作用下寿命期内的结构性能演变规律.

关 键 词:钢筋混凝土桥梁  寿命期  氯离子侵蚀  性能演变  数值模拟  随机变量  Monte-Carlo模拟  时变体系可靠度
收稿时间:5/9/2010 6:14:13 AM
修稿时间:6/8/2011 11:22:06 PM

System Reliability Assessment of Reinforced Concrete Continuous Bridges in Service Life
TIAN Hao and CHEN Airong.System Reliability Assessment of Reinforced Concrete Continuous Bridges in Service Life[J].Journal of Tongji University(Natural Science),2011,39(8):1105-1112.
Authors:TIAN Hao and CHEN Airong
Institution:Tongji University,Department of Bridge Engineering, Tongji University
Abstract:To simulate the lifetime performance of reinforced concrete bridges, a probabilistic- and finite element-based lifetime performance assessment method is proposed. A durability analysis program named CBDAS (Concrete Bridge Durability Analysis System) is written based on the numerical simulation methods relating to the deterioration of materials properties, reduction of sectional areas, and variation of structural performance. Then the statistical parameters of the random variables involved in the assessment of structural lifetime performance are recommended according to the present studies. Thus, the time-variant system reliability assessment method of reinforced concrete bridges is set up based on CBDAS and Monte-Carlo simulations. Finally, the lifetime performance of a reinforced concrete continuous bridge under chloride penetration is investigated by means of the time-variant system reliability.
Keywords:reinforced concrete bridges  service life  chloride penetration  lifetime performance  numerical simulation  random variables  Monte-Carlo simulations  time-variant system reliability
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