Calculation Model for Airborne Chloride Ion Based on Seawater Particle Generation

Kokubo, Sachie; Okamura, Hajime

doi:10.2208/jscejb.65.259

Cited by 2 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, a reliable model that can predict airborne chloride intensity is needed. The modeling of airborne chloride generation and transport used in the proposed system was first developed by Kokubo and Okamura (2009) and . This model can predict the amount of airborne chloride from generation and after transport at each location.…”

Section: Modeling Of Generation and Transport Of Airborne Chloridementioning

confidence: 99%

Comprehensive Numerical System for Predicting Airborne Chloride Generation and Its Ingress in Concrete under Actual Environmental Conditions

Wattanapornprom

Ishida

2018

ACT

View full text Add to dashboard Cite

The deterioration of concrete structures in airborne chloride environments is a common problem, as attested by the large number of concrete structures in coastal areas that are in need of repair due to corrosion of steel reinforcement. Thus, to prolong the service of concrete infrastructure in marine environments, deterioration from airborne chloride should be carefully considered. However, the amount of airborne chloride is influenced by numerous factors including wind direction, wind speed, wave height, obstacles, and distance from the seashore, and the concentration of airborne chloride varies by time and location. Besides actual exposure conditions, chloride ingress depends also on the environmental condition. In order to design the concrete structures, one must consider the amount of airborne chloride, concrete qualities, and the environmental conditions. Consequently, this research aims to develop a comprehensive system that can predict chloride ingress in concrete structures by considering airborne chloride intensity at the specific locations and times, based on determination of the amount of airborne chloride generated by breaking waves and transported by wind flow. The proposed methodology can determine the chloride penetration into concrete structures in various marine environments. The numerical framework has been verified through on-site measurements to confirm its validity.

show abstract

Section: Modeling Of Generation and Transport Of Airborne Chloridementioning

confidence: 99%

Comprehensive Numerical System for Predicting Airborne Chloride Generation and Its Ingress in Concrete under Actual Environmental Conditions

Wattanapornprom

Ishida

2018

ACT

View full text Add to dashboard Cite

show abstract

An Application of Machine Learning for Predicting Airborne Chloride in Coastal Areas

SAKIHARA,

TAKI,

NAKAMURA

et al. 2024

Transactions of AIJ

View full text Add to dashboard Cite

In this study, a machine learning approach using the Isolation Forest, one of the anomaly detection machine learning algorithms, was proposed to exclude anomalous values from the training data. In addition, the influences of the modified training data on the prediction of airborne chloride were investigated. Therefore, it was found that combining statistical processing with the Isolation Forest improves the accuracy of predicting airborne chloride. Furthermore, it was revealed that the most contributing feature importance to the prediction of airborne chloride is the significant wave height.

show abstract

Calculation Model for Airborne Chloride Ion Based on Seawater Particle Generation

Cited by 2 publications

References 5 publications

Comprehensive Numerical System for Predicting Airborne Chloride Generation and Its Ingress in Concrete under Actual Environmental Conditions

Comprehensive Numerical System for Predicting Airborne Chloride Generation and Its Ingress in Concrete under Actual Environmental Conditions

An Application of Machine Learning for Predicting Airborne Chloride in Coastal Areas

Contact Info

Product

Resources

About