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A Greedy Sampling Design Algorithm for the Modal Calibration of Nodal Demand in Water Distribution Systems
Joint Authors
Zhang, Tuqiao
Shao, Yu
Yang, Y. Jeffrey
Chu, Shipeng
Yu, Tingchao
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-21
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper presents a greedy optimization algorithm for sampling design to calibrate WDS hydraulic model.
The proposed approach starts from the existing sensors and sequentially adds one new sensor at each optimization simulation step.
In each step, the algorithm tries to minimize the calibration prediction uncertainty.
The new sensor is installed in the location where the uncertainty is greatest but also sensitive to other nodes.
The robustness of the proposed approach is tested under different spatial and temporal demand distribution.
We found that both the number of sensors and the perturbation ratio affect the calibration accuracy as defined by the average nodal pressure deviation itself and its variability.
The plot of the calibration accuracy versus the number of sensors can reasonably guide the trade-off between model calibration accuracy and number of sensors placed or the cost.
This proposed approach is superior in calibration accuracy and modeling efficiency when compared to the standard genetic algorithm (SGA) and Monte Carlo Sampling algorithm (MCS).
American Psychological Association (APA)
Shao, Yu& Chu, Shipeng& Zhang, Tuqiao& Yang, Y. Jeffrey& Yu, Tingchao. 2019. A Greedy Sampling Design Algorithm for the Modal Calibration of Nodal Demand in Water Distribution Systems. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1195344
Modern Language Association (MLA)
Shao, Yu…[et al.]. A Greedy Sampling Design Algorithm for the Modal Calibration of Nodal Demand in Water Distribution Systems. Mathematical Problems in Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1195344
American Medical Association (AMA)
Shao, Yu& Chu, Shipeng& Zhang, Tuqiao& Yang, Y. Jeffrey& Yu, Tingchao. A Greedy Sampling Design Algorithm for the Modal Calibration of Nodal Demand in Water Distribution Systems. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1195344
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195344