Probabilistic-based optimization model for stormwater infrastructure rehabilitation

A chance-constrained optimization model for designing stormwater drainage systems conditioned on the probability that the system's conveyance capacity is exceeded is presented. To formulate the chance constraint, the model combines kinematic wave routing and first-order second-moment analysis. Capable of providing the engineer with a tool to assessing the tradeoffs between system design cost and the probability of failure, the model avoids overdesigning a stormwater system by incorporating the hydrodynamic characteristics of stormwater flows through the mean and standard deviation. To demonstrate the model, an application utilizing a pipe network located in the East Campus of Duke University is presented.

Duke Scholars

Author Miguel A. Medina Civil and Environmental Engineering