# Service Life Prediction and Life Cycle Costs of Light Weight Partitions
## 4 Field Survey Results and Discussion
### Impact of Failures Mechanisms on Predicted Service Life Expectancy of Partitions  
Table 11 provides a summary of the predicted life expectancy limiting coefficients (LELC) for gypsum board partitions, hollow concrete block partitions, and hollow concrete block partitions, that considers examined failure mechanisms. All calculations were conducted for an impact coefficient (IC) value of 1. The life expectancy shortening coefficient is computed to quantify the impact of a specific failure mechanism on the component service life expectancy. The coefficient value ranges from 0 to 1, and a smaller value indicates the failure mechanism had a greater impact.  
It can be observed that each failure mechanism has a slightly different effect on the overall life expectancy of components in each sample. However, the differences between the failure mechanisms are small. Additionally, this influence varies with the number of negative occupancy factors, a high-impact factor in standard deterioration patterns.  
Of the three types of partitions examined, gypsum board partitions exhibit the greatest sensitivity to the influence of failure mechanisms, which emphasizes the critical importance of rigorous quality assurance (implemented by the building contractor) and quality control (supervised by the construction manager) during the construction of such partitions.  
Conversely, the service life expectancy of hollow concrete block partitions is significantly impacted by the quality of their design and construction. In contrast, the service life expectancy of hollow concrete block partitions is less susceptible to failure mechanisms that stem from design or implementation errors.  
\begin{table}
\begin{tabular}{l c c c c} \hline \hline \multirow{2}{*}{**Occupancy Conditions**} & **Light** & **Moderate** & **Standard** & **Intensive** \\ \cline{2-5}  & \(\mu\) = 0 & 1 \(\leq\mu\) \textless{} 2 & 2 \(\leq\mu\) \textless{} 4 & \(\mu\) \textgreater{} 4 \\ \hline
**Gypsum board** & & & & \\ \hline Service life prediction MRCP60\% [years] & 36 & 16 & 7 & 2 \\ Expected service life interval MRCP60\% [years] & 41–31 & 20–11 & 10–5 & 7–0 \\ Component performance interval expected at 20 years & 69–65 & 60–53 & 47–40 & 22–0 \\ Component performance interval expected at 25 years & 67–62 & 56–49 & 40–33 & 7–0 \\
**Autoclaved Concrete Blocks** & & & & \\ \hline Service life prediction MRCP60\% [years] & n/a & 26 & 10 & 3 \\ Expected service life interval MRCP60\% [years] & n/a & 30–21 & 13–7 & 7–0 \\ Component performance interval expected at 20 years & n/a & 65–60 & 53–47 & 42–24 \\ Component performance interval expected at 25 years & n/a & 63–58 & 48–41 & 34–15 \\
**Hollow Concrete Blocks** & & & & \\ \hline Service life prediction MRCP60\% [years] & 87 & 58 & 40 & 17 \\ Expected service life interval MRCP60\% [years] & 90–84 & 64–51 & 49–31 & 9–24 \\ Component performance interval expected at 20 years & 90–89 & 87–83 & 85–78 & 76–64 \\ Component performance interval expected at 25 years & 89–88 & 86–82 & 83–76 & 72–60 \\ \hline \hline \end{tabular}
\end{table}
Table 10: Service Life Predictions and Component Performance Intervals in Cumulative Failure Conditions.  
To summarize, hollow concrete block partitions, known for their relatively extended service life expectancy in standard conditions, experience less pronounced effects from failure mechanisms associated with design or application inaccuracies. Moreover, the cumulative impact of all failures on component service life expectancy becomes increasingly noticeable as the presence of negative occupancy factors intensifies across all three partition types.