| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 857891 | Procedia Engineering | 2014 | 6 Pages |
Abstract
Multi-component failure based reliability analysis of a real-life water distribution system (WDS) is extremely time consuming and computationally demanding. Reliability surrogate measures are novel techniques to lessen the associated computational burden in estimating the reliability of a WDS. Results of this study reveal that flow entropy of a WDS has stronger correlation with higher states of reliability rather than lower states. Consequently, statistical flow entropy is a better surrogate measure for multi-component failure based reliability of a WDS.
Related Topics
Physical Sciences and Engineering
Engineering
Engineering (General)
