Unen Lifelines @ ISCRAM 2009 Summerschool

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Presentation by H. Can Ünen @ ISCRAM 2009 Summerschool

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Seismic Performance Assessment of

Interdependent Lifeline Utility Systems

Hüseyin Can ÜnenIstanbul Technical University, Turkey

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.

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.

Why Lifeline Networks?

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.

INTERDEPENDENCY

INTERDEPENDENCY

Aim: To achieve more accurate and reliable seismic performance assessment of lifeline utility networks.

Water network Power network

INVENTORY Structural ModelTopological Model

HAZARD FRAGILITY

STRUCTURAL DAMAGE

SYSTEM CONNECTIVITY

COMPONENT FAILURE

RE-STRUCTURING OF NETWORK

PERFORMANCE ASSESSMENT

Connectivity Loss

Service Flow ReductionMon

te C

arlo

Sim

ulat

ions

(n)

Interdependent Network Analysis (INA) Model

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.

Determination of Structural Damage

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:Damage state probabilityExpected damageRepair rateBreak rateLeak rate

Hazard Definition

Inventory Selection

FragilityModels

Damage Analysis

Structural Damage

Structural Damage Analysis

Topologically modeled networks are built of links (pipelines, power lines) 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 facilities Water pipelines

Water network

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.

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.

System Performance Measures

INVENTORY Structural ModelTopological Model

HAZARD FRAGILITY

STRUCTURAL DAMAGE

SYSTEM CONNECTIVITY

COMPONENT FAILURE

RE-STRUCTURING OF NETWORK

PERFORMANCE ASSESSMENT

Connectivity Loss

Service Flow ReductionMon

te C

arlo

Sim

ulat

ions

(n)

Interdependent Network Analysis (INA) Model

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.

System Outcomes

THANK YOU