Preventive maintenance management based on seismic performance evaluations with deterioration prediction and cumulative damage assessment.

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K04611
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 25030:Disaster prevention engineering-related
• Research Institution: Kagoshima University
• Principal Investigator: Kimura Yukinobu 鹿児島大学, 理工学域工学系, 准教授 (10363607)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: 鉄筋腐食 / 劣化進行モデル / 剛性低下 / 維持管理 / 損傷評価 / 耐震性能

Outline of Final Research Achievements

In this research, a deterioration prediction model was estimated by using the Markov chain model based on the results of bridge inspections. In addition, stiffness degradation due to rebar corrosion was evaluated with a deterioration prediction model, and the effect of deterioration on the seismic performance evaluation was discussed. In addition, by assessing the damage to the structure using stiffness degradation considering the effects of uncertainty, a scenario of preventive maintenance management focusing on seismic performance evaluations was proposed. In addition, the effect of cumulative damage caused by aftershocks on the seismic performance evaluation of the preventive maintenance management was clarified. Since these results depend on the seismic characteristics of the ground motion, a method for creating simulated ground motions was also discussed.

Free Research Field

構造工学

Academic Significance and Societal Importance of the Research Achievements

高度経済成長期に建設された構造物の多くを長期にわたって安全な状態で供用するためには，定期的な点検や適切な時期に修繕を行うことで長寿命化を促す必要がある．さらに，地震大国であるわが国では，耐震性を考慮した維持管理水準を検討する必要がある．そのため，耐震性に着目した予防保全型維持管理手法を検討する際には，経年に伴う剛性低下による耐震性能評価を明確にしておく必要がある．よって，本研究課題の手法により，構造物の経年に伴う剛性低下の推定と余震も含めた一連の地震活動に対する損傷予測が可能となり，耐震性に着目した予防保全型の維持管理に役立つことができる．