A hybrid inverse transient model for leakage detection and roughness calibration in pipe networks

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 distribut...

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Bibliographic Details
Published in:Journal of hydraulic research 2003-09, Vol.41 (5), p.481-492
Main Authors: Kapelan, Zoran S., Savic, Dragan A., Walters, Godfrey A.
Format: Article
Language:English
Subjects:
Applied sciences
Building failures (cracks, physical changes, etc.)
Buildings. Public works
calibration
Computation methods. Tables. Charts
Distribution. Storage
Durability. Pathology. Repairing. Maintenance
Exact sciences and technology
genetic algorithm
hybrid optimisation
inverse transient model
Levenberg-Marquardt algorithm
Network leak detection
Structural analysis. Stresses
Water supply. Pipings. Water treatment
waterhammer
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Summary: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.
ISSN:0022-1686
1814-2079
DOI:10.1080/00221680309499993