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• W2317665247 abstract "Reliability-based design guidelines are necessary to achieve uniform levels of lifeline network performance. For this purpose, inverse reliability methods are explored in the context of geographically distributed networks. However, this inverse approach requires explicit limit state functions which are not readily available for networked systems. In addition, most of the lifeline network reliability research and design to date has focused on element strengthening and capacity increase without considering the topology of the overall networked system and without explicitly considering the interdependencies among different lifeline networks. To address these limitations, the proposed inverse FORM reliability design method uses an artificial neural network (ANN) that uniquely balances accuracy and efficiency. The procedure explicitly accounts for both system interdependencies and network-level topological features through an explicit limit state approximation of the implicit functional relationship of network performance. The merits of the proposed inverse reliability strategy for networks are demonstrated with real interdependent lifeline systems under seismic hazard." @default.
• W2317665247 created "2016-06-24" @default.
• W2317665247 creator A5043324316 @default.
• W2317665247 creator A5049885707 @default.
• W2317665247 date "2009-06-24" @default.
• W2317665247 modified "2023-10-18" @default.
• W2317665247 title "Inverse Reliability-Based Design of Interdependent Lifeline Systems" @default.
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• W2317665247 doi "https://doi.org/10.1061/41050(357)60" @default.
• W2317665247 hasPublicationYear "2009" @default.
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