Author(s): Zoran S. Kapelan; Dragan A. Savic; Godfrey A. Walters

Linked Author(s):

Keywords: Network leak detection; genetic algorithm; Levenberg-Marquardt algorithm; hybrid optimisation; inverse transient model; calibration; waterhammer

Abstract: Leakage detection and calibration of hydraulic models are important issues for the management of water and other distribution networks. An inverse transient model based on a hybrid search technique is presented here. The inverse model is developed mainly for the detection of leaks in water distribution networks. The inverse transient procedure is formulated as a constrained optimisation problem of weighted least-squares type. Two optimisation techniques are tested: the genetic algorithm (GA) and the Levenberg-Marquardt (LM) method. After examining their performance, a new hybrid genetic algorithm (HGA) is developed to exploit the advantages of combining the two methods. The resulting HGA-based inverse transient model is compared with the GA and LM-based inverse transient models using two case studies. The HGA-based inverse transient model proved to be more stable than the LM-based model and it is more accurate and much faster than the GA-based inverse transient model.

DOI: https://doi.org/10.1080/00221680309499993

Year: 2003