## 2 Main Keywords, Significance, and Potential Impact  
Table 2 summarizes the research significance and potential impact of the nine published articles. Table 3 tabulates the main keywords for each article. Table 4 subcategories each article into 'Fatigue', 'Performance', and 'Damage Assessment' categories. Contributions 1, 3, and 8 belong to both the 'Performance' and 'Damage Assessment' categories. These papers deal more with the Pavement Condition Index (PCI), and thus they were finally grouped into 'Damage Assessment' in the subsequent section. For example, the article from contribution 5 is related to the Fatigue subcategory entirely (denoted by the bullseye symbol '\(\copyright\)) while that from contribution 9 is related mainly to the Fatigue subcategory and a little to the Performance subcategory (denoted by the white circle '\(\copyright\)).  
\begin{table}
\begin{tabular}{c c c c c} \hline
**No.** & **SI Title** & **Speciality** & **Papers** & **Year** \\ \hline
1 & Fatigue [19] & Fatigue and cyclic loading of high-strength or high-performance concrete & 10 & 2019 \\ \hline
2 & Fatigue and Fracture of Non-Metallic Materials and Structures [20] & Fatigue of bridges, FRC, and other applications such as asphalt and rocks. & 10(34) 1 & 2019 \\ \hline
3 & Cyclic Deterioration of Concrete [21] & Fatigue, damage evolution, and cyclic loading of high-strength and high-performance concrete & 12 & 2021 \\ \hline \end{tabular} \({}^{1}\) The Special Issue contains a total of 34 papers; papers related to fatigue number 10, while those related to fracture number 24.  
\end{table}
Table 1: Special publications related to fatigue, performance, and damage identification in concrete area since 2019.  
\begin{table}
\begin{tabular}{c c c} \hline
**Paper No.** & **Research Significance** & **Potential Impact** \\ \hline
1 & Construction Analysis for Pavement Rehabilitation Strategies (CA4 PRS) software was used to examine the application of pavement overlays via life cycle cost (LCC) analysis applying user costs, construction costs, and overlay life cycles. & To achieve beneficial economic effects, the LCC analysis results can be used in pavement overlay constructions as primary decision criteria. \\ \hline
2 & Concerning the current Pavement Condition Index (PCI) ratings for airport pavement, an adjusted deduction value curve for multiple forms of distress due to different airport conditions is proposed. & Prediction of long-term pavement performance can be more reasonably estimated using the so-called “K\(-\)PCI”, which adjusts for multiple distress types. \\ \hline
3 & Future pavement performance is evaluated with the concrete Pavement Condition Index using machine learning concepts. & Prediction of long-term pavement conditions can be more precisely estimated using machine learning concepts & Prediction of long-term pavement conditions can be more precisely estimated using machine learning concepts than by using conventional regression modeling. \\ \hline
4 & FEM analysis, field investigation, and indoor evaluations were used to evaluate lateral vibrations for different types of longitudinal texture timing specifications on concrete pavement. & Based on FEM analysis, field and indoor driving simulation tests, field applications, and panel ratings, a longitudinal texture specification (3 mm \(\times\) 3 mm \(\times\) 16 mm) that minimizes lateral vibrations can be practically applied to the road pavement. \\ \hline \end{tabular}
\end{table}
Table 2: Research significance and potential impact from articles published in this Special Issue.