STOCHASTIC SAMPLING DESIGN FOR WATER DISTRIBUTION MODEL CALIBRATION

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BEHZADIAN K.; ARDESHIR A.A.; KAPELAN Z.; SAVIC D.

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Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF CIVIL ENGINEERING Year:2008 | Volume:6 | Issue:1 Page(s): 48-57

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Title

STOCHASTIC SAMPLING DESIGN FOR WATER DISTRIBUTION MODEL CALIBRATION

Author(s)

BEHZADIAN K. | ARDESHIR A.A. | KAPELAN Z. | SAVIC D. | Issue Writer Certificate

Keywords

SAMPLING DESIGN

WATER DISTRIBUTION MODEL

CALIBRATION

GENETIC ALGORITHM

Abstract

A novel approach to determine optimal sampling locations under parameter uncertainty in a water distribution system (WDS) for the purpose of its hydraulic model CALIBRATION is presented. The problem is formulated as a multi-objective optimization problem under CALIBRATION parameter uncertainty. The objectives are to maximise the calibrated model accuracy and to minimise the number of sampling devices as a surrogate of SAMPLING DESIGN cost. Model accuracy is defined as the average of normalised traces of model prediction covariance matrices, each of which is constructed from a randomly generated sample of CALIBRATION parameter values. To resolve the computational time issue, the optimisation problem is solved using a multi-objective GENETIC ALGORITHM and adaptive neural networks (MOGA-ANN). The verification of results is done by comparison of the optimal sampling locations obtained using the MOGA-ANN model to the ones obtained using the Monte Carlo Simulation (MCS) method. In the MCS method, an equivalent deterministic SAMPLING DESIGN optimisation problem is solved for a number of randomly generated CALIBRATION model parameter samples. The results show that significant computational savings can be achieved by using MOGA-ANN compared to the MCS model or the GA model based on all full fitness evaluations without significant decrease in the final solution accuracy.

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APA: Copy

BEHZADIAN, K., ARDESHIR, A.A., KAPELAN, Z., & SAVIC, D.. (2008). STOCHASTIC SAMPLING DESIGN FOR WATER DISTRIBUTION MODEL CALIBRATION. INTERNATIONAL JOURNAL OF CIVIL ENGINEERING, 6(1), 48-57. SID. https://sid.ir/paper/271763/en

Vancouver: Copy

BEHZADIAN K., ARDESHIR A.A., KAPELAN Z., SAVIC D.. STOCHASTIC SAMPLING DESIGN FOR WATER DISTRIBUTION MODEL CALIBRATION. INTERNATIONAL JOURNAL OF CIVIL ENGINEERING[Internet]. 2008;6(1):48-57. Available from: https://sid.ir/paper/271763/en

IEEE: Copy

K. BEHZADIAN, A.A. ARDESHIR, Z. KAPELAN, and D. SAVIC, “STOCHASTIC SAMPLING DESIGN FOR WATER DISTRIBUTION MODEL CALIBRATION,” INTERNATIONAL JOURNAL OF CIVIL ENGINEERING, vol. 6, no. 1, pp. 48–57, 2008, [Online]. Available: https://sid.ir/paper/271763/en

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