节点文献
基于随机模拟的混凝土碳化深度最少工程测点数探讨
DISCUSSION ON MINIMUM SAMPLE NUMBER FOR FIELD CONCRETE CARBONATION INSPECTION USING STOCHASTIC SIMULATION APPROACH
【摘要】 选用fib Model Code碳化模型,基于Monte-Carlo模拟建立一种计算碳化深度工程检测最少测点数的方法,探讨给定测量精度下的碳化深度与检测测点数的关系,得到典型曝露环境下指定期望精度的最少测点数,并用长龄期混凝土曝露试验结果对其进行初步验证。
【Abstract】 The minimum field inspection sample number for concrete carbonation inspection is discussed at the present work.The fib Model Code is chosen to develop a method to calculate minimum inspection sample number using Monte-Carlo simulation.The relationship between the sample number and the accuracy expected at different conditions is discussed according to such an approach.The minimum sample numbers at some given accuracies are obtained and validated by a set of data from some long-term exposed beams.
【关键词】 碳化;
劣化模型;
Monte-Carlo模拟;
相对误差限;
样本数;
【Key words】 carbonation; degradation model; Monte-Carlo simulation; limited relative error; sample number;
【Key words】 carbonation; degradation model; Monte-Carlo simulation; limited relative error; sample number;
- 【文献出处】 工业建筑 ,Industrial Construction , 编辑部邮箱 ,2012年12期
- 【分类号】TU528
- 【下载频次】54