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The following section explores how the approximations of climate models influence long-term chloride ingress assessment.
It was found that a 13 years training database improves long-term chloride ingress assessment.
The results indicate that the selection of climate models as well as the considered training periods introduce significant errors for mid- and long- term chloride ingress assessment.
Given that long-term assessment requires larger climate databases, this research also studies how climate models may affect chloride ingress assessment.
The results indicated that the selection of climate models as well as the training period could introduce significant errors for mid- and long- term chloride ingress assessment.
Since seawater environmental conditions follow a sinusoidal trend (Fig. 2), the approximations for climate models, for air temperature and relative humidity do not have a large influence on the chloride ingress assessment.
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This paper proposes an evidence-based analytical approach for chloride ingress pre-assessment by comprehensively exploring, quantifying and analyzing the historical heterogeneous chloride ingress profiles data and associating them with inexpensive external factors information, which are often readily available from concrete suppliers and bridge inventory databases.
(5) For durability assessment, chloride ingress was also monitored in cement mortar with powered-NS, colloidal-NS and SF.
For durability assessment, chloride ingress was also monitored in cement mortar with powered-NS, colloidal-NS and SF.
In particular, when we focus on the assessment of chloride ingress at the cover rebar.
However, we observe that the assessment of chloride ingress is significantly reduced for large time-steps.
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