在现有混凝土桥梁耐久性等级模糊评估理论的基础上,提出一种改进的多层次模糊评估模型。该模型采用多因素决策的特征向量法,选取最优区间型隶属度函数作为耐久性考核指标对各模糊等级的隶属度,并结合模糊扩张算法及权重均值技术最终实现在役桥梁耐久性等级评定。模型中引入环境作用指标来反应混凝土结构材料本身的劣化程度以及环境效应预示的潜在失效风险。基于提出的模型编制相应的评估程序,应用于一座在役混凝土桥梁的耐久性评估,并通过与规范及其他模型评定结果对比说明评估方法的合理性。提出的方法论将为决策者和桥梁工程师获得桥梁的系统判断和后续维修加固方案提供帮助。
An improved multiple-layer fuzzy model is proposed to assess the durability condition of existing reinforced concrete bridges. The multi-attributive decision making (MADM) model using an eigenveetor approach is adopted to give a more realistic representation of the bridge condition rating. Environmental effect is considered in the proposed model, because it serves as an indicator for not only the deterioration degree of the concrete, but also the failure risk of material damage. Incorporating the advantages of prioritization, optimal-interval based membership function, extended fuzzy operation and Fuzzy Weighted Average (FWA) technique, a computer code for rating existing bridges is developed, and a case study presented for illustration. The present methodology will help decision makers and bridge engineers arrive at a systematic judgment and formulate approaches toward retrofitting, rehabilitation, or demolition of a bridge in future years.