论文部分内容阅读
以高速公路隧道健康状态定量诊断和隧道衬砌结构劣化趋势预警为目标,建立高速公路隧道健康诊断指标体系,量化隧道健康状态诊断指标。根据指标体系中诊断指标特性,建立判定标准,实现对各诊断指标的准确判定。根据高速公路隧道健康状态诊断特点,采用模糊层次分析法(FAHP)确定各诊断指标权重。基于隧道劣化趋势及劣化程度分析,建立隧道健康状况诊断标准及预警等级划分原则。最后,结合实例分析,融合模糊逻辑与神经网络技术,构建隧道健康综合诊断模式,划分隧道健康状况劣化等级,并据此提出相应对策措施。诊断结果表明,实例隧道031区段与032区段的健康预警等级均为2级,即隧道衬砌结构虽有劣化趋势,但支护状况较好。
Aim at the quantitative diagnosis of expressway tunnel health status and early warning of the deterioration trend of tunnel lining structure, establish the index system of highway tunnel health diagnosis and quantify the tunnel health status diagnosis index. According to the characteristics of the diagnostic indicators in the indicator system, a judgment standard is established to achieve accurate judgment of each diagnostic indicator. According to the diagnosis of highway tunnel health status, fuzzy analytic hierarchy process (FAHP) was used to determine the weight of each diagnostic indicator. Based on the trend of tunnel deterioration and the analysis of the degree of deterioration, the diagnostic criteria of the tunnel health status and the classification principle of the warning level are established. Finally, combined with case analysis, the fusion fuzzy logic and neural network technology, the construction of tunnel health diagnosis mode, the classification of tunnel health deterioration level, and accordingly proposed corresponding countermeasures. The diagnostic results show that the health warning levels of the 031 and 032 sections of the example tunnel are both level 2, that is to say, the tunnel lining structure has a better tendency of degradation though its structure is deteriorating.