Name
Title | ||
|---|---|---|
Optimum design of hydraulic water retaining structures incorporating uncertainty in estimating heterogeneous hydraulic conductivity utilizing stochastic ensemble surrogate models within a multi-objective multi-realisation optimisation model |
Abstract | ||
|---|---|---|
•The uncertainty in HHC affects the optimum HWRS design.•MOMR is used to quantify the reliability based on stochastic ensemble surrogate models.•The MOMR technique improves the direct search optimization process based NSGA-II.•Exit gradient is influenced by the uncertainty of HHC and affects the HWRS optimum designs. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.jcde.2018.12.003 | Journal of Computational Design and Engineering |
Keywords | Field | DocType |
Reliability based optimum design,Heterogeneous hydraulic conductivity,Non-dominated sorting genetic algorithm,Hydraulic water retaining structure,Multi-objective multi-realisation optimisation model,Numerical seepage analysis | Kriging,Mathematical optimization,Hydraulic conductivity,Direct search,Sorting,Realisation,Expected value,Engineering,Solver | Journal |
Volume | Issue | ISSN |
6 | 3 | 2288-4300 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muqdad Al-Juboori | 1 | 0 | 0.34 |
| Bithin Datta | 2 | 0 | 1.01 |