Kyushu University · Engineering
Professor Shigenobu Kainuma's research lab specializes in the durability and long-term performance of steel structures under various environmental conditions, with a focus on atmospheric and interface corrosion. The lab investigates corrosion mechanisms, particularly in complex environments such as steel-concrete boundaries and exposed atmospheric conditions, using advanced monitoring techniques like ACM-type corrosion sensors and statistical modeling. Key research directions include the prediction of time-dependent corrosion behavior, evaluation of surface characteristics after abrasive blasting, and the development of practical methods for estimating corrosion depth without removing corrosion products. The lab also emphasizes the application of spatial statistics and machine learning techniques to simulate and predict corrosion progression across different sites and environments.
Figures are computed from collected data and may differ slightly.
The effects of blasting with metallic steel grit and non-metallic alumina grit on steel surface characteristics were evaluated. These abrasives are generally used at construction sites and in vacuum blasting. Milled steel specimens were used to investigate the effect of the blasting conditions on surface properties. The effect of difference in surface properties on the adhesion strength and corrosion behavior were measured through adhesion tests, polarization curves, and electrochemical impedanc
鋼構造物を腐食損傷に対して，経済的に維持管理するためには，その部位レベルの腐食環境を定量的に把握した上で，腐食挙動の経時性を評価する必要がある．そこで，本研究ではFe/Ag対ACM型腐食センサーを用いて，降雨や飛来海塩に着目した大気環境における無塗装普通鋼板の経時腐食深さの評価方法を提案することを目的とした．そのために，降雨や飛来海塩の影響が著しく異なる4地点において，無塗装普通鋼板の大気暴露試験を実施した．また，その鋼板の対空・対地面の腐食環境をACM型腐食センサーによりモニタリングした．
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