dc.citation.conferencePlace |
KO |
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dc.citation.conferencePlace |
ICC JEJU, Jeju island, Korea |
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dc.citation.title |
The 2019 World Congress on Advances in Structural Engineering and Mechanics (ASEM19) |
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dc.contributor.author |
Yoon, Sungsik |
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dc.contributor.author |
Lee, Young-Joo |
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dc.contributor.author |
Jung, Hyung-Jo |
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dc.date.accessioned |
2024-01-31T23:40:05Z |
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dc.date.available |
2024-01-31T23:40:05Z |
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dc.date.created |
2020-01-04 |
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dc.date.issued |
2019-09-20 |
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dc.description.abstract |
In this study, an optimal system design of a water transmission network was proposed. The main purpose of the optimal system design is to maximize the seismic performance with a limited construction cost. The proposed optimal model evaluates network performance through the spatially correlated seismic attenuation law, determination of the failure status of the network component, and numerical modeling of water networks. For numerical simulations, a MATLAB code has also been developed to enable the EPANET analysis with pressure driven analysis and numerical modeling of network systems. In order to verify the proposed optimal system design model, a real water network was adopted and the location and magnitude of the earthquake were determined. In addition, two performance indices (system serviceability index, nodal serviceability index) were introduced for the network performance evaluation. Numerical results showed that the optimized network model increased system serviceability and nodal serviceability by 9.9% and 11%, respectively, and the average nodal pressure of the network increased by 3.6 m compared to existing models. |
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dc.identifier.bibliographicCitation |
The 2019 World Congress on Advances in Structural Engineering and Mechanics (ASEM19) |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/79268 |
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dc.publisher |
Int’l Association of Structural Eng. & Mechanics (IASEM) |
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dc.title |
Optimal system design of urban water transmission network for seismic performance enhancement |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2019-09-17 |
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