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Unen Lifelines @ ISCRAM 2009 Summerschool

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Presentation by H. Can Ünen @ ISCRAM 2009 Summerschool

Presentation by H. Can Ünen @ ISCRAM 2009 Summerschool

Published in: Technology, Business

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  • 1. Seismic Performance Assessment of Interdependent Lifeline Utility Systems Hüseyin Can Ünen Istanbul Technical University, Turkey
  • 2. Born in 1982, Ankara, Turkey. B.Sc.: Civil Engineering, Middle East Technical University, Ankara (2004). M.Sc.: Satellite Communications and Remote Sensing, Istanbul Technical University (2006). Currently a Ph.D. Student in Geomatics Engineering, Istanbul Technical University. Study topics: Surveying, Geographic Information Systems, Disaster Management.
  • 3. Why Lifeline Networks? Electric power, potable water, communication, transportation, natural gas, waste water, etc. Vital to the health, safety, and social activities of the community. Also vital to the functioning of an urban industrialized society. Serviceability of power, water and communication systems are essential for survival and also for response and recovery efforts following a disaster.
  • 4. INTERDEPENDENCY Interdependency: A bidirectional relationship between two infrastructures through which the state of each infrastructure influences or is correlated to the state of the other. or The connections among agents in different infrastructures in a general system of systems.
  • 5. INTERDEPENDENCY
  • 6. Aim: To achieve more accurate and reliable seismic performance assessment of lifeline utility networks. Water network Power network
  • 7. Interdependent Network Analysis (INA) Model Topological Model Structural Model INVENTORY HAZARD FRAGILITY SYSTEM CONNECTIVITY STRUCTURAL DAMAGE Monte Carlo Simulations (n) COMPONENT FAILURE RE-STRUCTURING OF NETWORK PERFORMANCE Connectivity Loss ASSESSMENT Service Flow Reduction
  • 8. Determination of Structural Damage Estimation of damage levels to the structures are made by implementing fragility functions, which give the probability that a limit state is exceeded, or by damage functions giving the amount of expected damage, given an input level of shaking.
  • 9. Structural Damage Analysis Damage levels to the structures are estimated by using given level of ground shaking and Fragility functions: the probability that a limit state is exceeded, OR Damage functions: the amount of expected damage Results: Hazard Definition Inventory Selection Fragility Models Damage state probability Expected damage Damage Analysis Repair rate Break rate Leak rate Structural Damage
  • 10. Topologically modeled networks are built of links (pipelines, power lines) Water network facilities Water pipelines and nodes (network facilities). Modeling can be done if the connectivity and flow patterns of the system are known. System performances are assessed by applying connectivity and flow algorithms. Water network
  • 11. System Performance Measures CONNECTIVITY LOSS Quantifies the decrease in the number of generation facilities with connecting paths to the distribution facilities. Calculation of the parameter relies on the topological structure of the network and the existence of paths connecting supply and demand elements.
  • 12. System Performance Measures SERVICE FLOW REDUCTION Quantifies the amount of flow that does not meet the distribution vertex demands. Adresses the impact on the end users. Demands and capacities must also be known in addition to the network topology.
  • 13. Interdependent Network Analysis (INA) Model Topological Model Structural Model INVENTORY HAZARD FRAGILITY SYSTEM CONNECTIVITY STRUCTURAL DAMAGE Monte Carlo Simulations (n) COMPONENT FAILURE RE-STRUCTURING OF NETWORK PERFORMANCE Connectivity Loss ASSESSMENT Service Flow Reduction
  • 14. System Outcomes When the expected damage to pipelines, facilities, and buildings known, they can be used for: Improving resiliency of the networks. Developing retrofit strategies. Estimating the repair cost and workmanship needed.
  • 15. THANK YOU

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