【摘要】 碳化是混凝土结构构件中普遍存在的问题,随混凝土碳化的发展可能将逐步导致钢筋产生锈蚀,从而影响构件的耐久性。影响混凝土碳化的因素较多,即使相同的影响因素,在不同地区对混凝土碳化影响程度也会有所差别。因此,考虑多因素和不同地区特点建立特定区域的混凝土碳化模型具有重要工程价值。根据部分重庆地区不同时期自然条件下混凝土构件碳化深度实测数据,采用人工神经网络方法初步建立了重庆地区自然条件下混凝土碳化模型。通过计算结果和实测数据的对比,探讨了模型的可行性和适用性,为进一步确定重庆地区自然条件下混凝土碳化规律创造了初步条件。更多还原

【Abstract】 The neutralization of reinforced concrete members is universal in structure.It will cause the rust of steel,which can affect the endurance of the members.But they are not same in different areas for those factor ,such as atmosphere or environment,which make it necessary to establish different models of neutralization for each area.According to the data of the neutralization depth,the neural network is used to make the neutralization model of Chongqing area.Comparing the results of theoretic models with the test data,it shows the reasonableness and applicability.The model ,which reflects the change of neutralization depth with time,is simple.It also can be the base of predicting how many years the buildings may be used.更多还原