摘要
影响地下混凝土结构耐久性的因素较多且较复杂,各种因素对耐久性的作用是交叉影响的。结合实际情况,选取常见的有代表性的几个因素,如与周边岩土介质及施工条件等相关的应力状态及水平、混凝土材料配合比、碳化环境、服役期限等,分析它们交叉影响下地下结构耐久性的劣化状况,结合所建立的耐久性寿命评判准则,预测结构的耐久性寿命。在试验基础上获得各影响因素与碳化深度的相关数据,采用人工智能RBF的方法,建立神经网络预测模型。模型经验证可有效用于对同类工程条件下地下结构耐久性寿命的评判与预测,并对个影响因素的敏感性进行了分析,可泛化推广至其他各环境影响因素作用下的耐久性寿命的类似分析。
The influence factors of underground structures are relatively numerous and complicated,and these factors act one another by the manner of crossed influence.Combined with the actual instance,several familiar representative factors,such as stress state and its level interrelated with surrounding rock and soil medium or construction conditions,mixture ratio of concrete materials,carbonization environment,service time,etc.,were selected to analyze durability of underground structures based on the factors＇ crossed influence and predict structures＇ durability life considering the judgment rule of durability life established.RBF model was constituted by gaining the related data of influence factors and carbonization depth based on experiment.The model can be used in judgment and prediction of underground structures＇ durability life under homogeneous engineering conditions efficiently by verifying it,and can be generalized to the analogous analysis of durability life under the action of other environment influence factors.
出处
《混凝土》
CAS
CSCD
北大核心
2010年第12期131-133,136,共4页
Concrete
关键词
地下混凝土结构
耐久性
RBF预测
寿命评判准则
敏感性分析
underground concrete structures
durability
RBF prediction
life judgment rule
sensitivity analysis
