Lifetime assessment of structural concrete - multi-scale integrated hygro-thermal-chemo-electrical-mechanistic approach and statistical evaluation
Lifetime assessment of structural concrete - multi-scale integrated hygro-thermal-chemo-electrical-mechanistic approach and statistical evaluation
复制标题
结构混凝土的寿命评估 - 多尺度集成湿热化学电机械方法和统计评估
DOI:
10.1080/15732479.2021.1995443
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Zhao Wang and Koichi Maekawa
中科院分区:
文献类型:
--
作者:
Chenyu Wang;Kenta Kimura;Jincai Li;Joseph Jacob Richardson;Mitsuru Naito;Kanjiro Miyata;Takanori Ichiki;Hirotaka Ejima;Zhao Wang and Koichi Maekawa
To perform the assessment of reinforced concrete infrastructures in service, a multi-scale simulation has been developed and improved with an integrated hygro-thermal-chemo-electrical-mechanistic approach. Various durability issues are successfully evaluated in terms of fatigue behaviours with damage induced by moisture motion through pores and cracks, temperature-related deterioration such as frost/fire damage, degradation by chemical reaction like alkali-silica reaction, and the macro-cell corrosion coupled with multi-ion equilibrium which is electro-chemical phenomenon. Moreover, the long-term performance evaluation influenced by the drying shrinkage is also successfully conducted. Furthermore, the multi-scale integrated approach is coupled with AI technique and data assimilation techniques. The crack locations and their widths are converted to space-averaged strains, which are built inside the cyber storage for the futural performance prediction. The hazard map of crack patterns on the surface of concrete deck is inversely derived from the artificial neural network, which is built according to the big dataset of the past maintenance records. Through both methods, the importance of using both-eye diagnosis is realized and proposed for lifetime assessment of structural concrete.