Hierarchy Modeling of Damage Factors Due to Alkali-Aggregate Reaction and Chloride Corrosion and Its Application to Damage Assessment

由于在役既有结构的损伤过程多、损伤因素多，对碱骨料反应和氯化物腐蚀引起的混凝土结构劣化评价以及骨料和钢筋的潜在反应性评价需要综合考虑多种因素。然后，在损伤评估过程中包含了专业工程师的主观不确定性，如专业经验、损伤评估知识等。本文将损伤评估系统作为碱-骨料反应的计算机辅助评估系统。在模糊层次结构模型和模糊集理论相结合的基础上，建立了与评价相关的主观信息的模糊层次结构模型。考核系统使用的计算机系统和语言分别是日本NEC公司生产的PC-9801VX41个人计算机和N88 Basic语言。该系统产生的最后阶段损害评估结果被认为是用“安全”、“略安全”、“中等”、“略危险”和“危险”五个要素的语言表达表达归因的可能性期望值。通过对几个已收集现场数据的混凝土结构进行分析，验证了该系统的适用性。通过对受损结构的应用，通过系统的推理得到了合理的结果。

Assessment of deteriorating concrete structures due to alkali-aggregate reaction and chloride corrosion and also estimation of potential reactivity of aggregate and reinforcing bar are necessary to be taken many factors into consideration because there are multiple processes of damage with a lot of damage factors in existing structures in service. Then, in the processes of the damage assessment are included a subjective uncertainty of professional engineers such as professional experience, knowledge on damage assessment, etc.In this paper, a damage assessment system as a computer-aided assessment system for alkali-aggregate reaction, especially for Alkali-Silica Reaction (ASR) is developed based on a combination of both the fuzzy hierarchy structural model and the fuzzy set theory which deal with the subjective information related to the assessment. The computer system and language which used in the assessment system are the PC-9801VX41 personal computer made by the NEC Corporation, Japan and the N88 Basic language, respectively.The results of the damage assessment at final stage produced by this system are considered to be presented with the possibilities expected values of attribution to five elements expressed by linguistic expressions as "safe", "slightly safe", "moderate", "slightly danger" and "danger".A few concrete structures on which field data have been collected are analyzed to demonstrate the applicability of this system. Through the application to the damaged structures, reasonable results are obtained by inference with the system.