Seismic Damage to Segmented Buried Pipe

O’Rourke, Michael; Deyoe, Erik

doi:10.1193/1.1808143

Cited by 81 publications

(32 citation statements)

References 5 publications

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“…This difference was pointed out previously in many publications, e.g., O'Rourke and Jeon (2000). Considering the inherent variability in the pipeline systems such as pipe type, pipe diameter, soil conditions, and corrosion and seismic uncertainties, Toprak (1998), O'Rourke andJeon (2000), ALA (2001), andO'Rourke andDeyoe (2004) for S-wave relationships are within reasonable range of each other. For example at PGV of 20 cm/s, the repair rates vary between 0.029 and 0.055 repairs/km and at PGV of 75 cm/s, the repair rate range is between 0.18 and 0.25 repairs/km.…”

Section: Pipeline Damage Prediction For Denizli City Water Supply Systemmentioning

confidence: 96%

Estimation of Earthquake Damage to Buried Pipelines Caused by Ground Shaking

Toprak

Taskin

2006

Nat Hazards

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One of the most critical lessons of the recent earthquakes is the need for seismic planning for lifelines, with appropriate supplies and back up systems for emergency repair and restoration. Seismic planning, however requires physical loss estimations before the earthquakes occur. Buried pipeline damage correlations are critical part of loss estimation procedures applied to lifelines for future earthquakes. We review the existing pipeline damage relationships only for ground shaking (transient ground deformations) in the light of recent developments and evaluate them with Denizli City, Turkey water supply system. Eight scenario earthquakes with four different earthquake magnitudes between M6 and M7 caused by two different fault ruptures (Pamukkale and Karakova-Akhan Faults) were used. Analyses were performed by using Geographical Information Systems (GIS). This high number of different scenario earthquakes made it possible to compare the pipeline damage relationships at different ground shaking levels. Pipeline damage estimations for Denizli City were calculated for each damage relationship and earthquake scenario. Relative effects of damage relationships and scenario earthquakes on the results were compared and discussed. The results were presented separately for brittle, ductile, and all pipelines. It was shown that the variation in ductile pipeline damage estimations by various relationships was higher than the variation in brittle pipeline damage estimations for a particular scenario earthquake.

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Section: Pipeline Damage Prediction For Denizli City Water Supply Systemmentioning

confidence: 96%

Estimation of Earthquake Damage to Buried Pipelines Caused by Ground Shaking

Toprak

Taskin

2006

Nat Hazards

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“…Repair rate curves provide the expected number of ruptures -and hence repairs- per unit length, for a given hazard intensity measure (e.g. ALA, 2001; O’Rourke & Ayala, 1993; O’Rourke & Deyoe, 2004). Examples of these curves are available in the literature, for different networks’ components and different hazards.…”

Section: Assessing the Resilience Of Dependent Critical Infrastrucmentioning

confidence: 99%

Modeling the resilience of critical infrastructure: the role of network dependencies

Guidotti

Chmielewski

Unnikrishnan

et al. 2016

Sustainable and Resilient Infrastructure

180

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Water and wastewater network, electric power network, transportation network, communication network, and information technology network are among the critical infrastructure in our communities; their disruption during and after hazard events greatly affects communities’ well-being, economic security, social welfare, and public health. In addition, a disruption in one network may cause disruption to other networks and lead to their reduced functionality. This paper presents a unified theoretical methodology for the modeling of dependent/interdependent infrastructure networks and incorporates it in a six-step probabilistic procedure to assess their resilience. Both the methodology and the procedure are general, can be applied to any infrastructure network and hazard, and can model different types of dependencies between networks. As an illustration, the paper models the direct effects of seismic events on the functionality of a potable water distribution network and the cascading effects of the damage of the electric power network (EPN) on the potable water distribution network (WN). The results quantify the loss of functionality and delay in the recovery process due to dependency of the WN on the EPN. The results show the importance of capturing the dependency between networks in modeling the resilience of critical infrastructure.

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“…e.g. Abrahamson 2003;O'Rourke and Deyoe 2004), and to the unknown prevailing wave type, i.e., body or surface waves. As previously underlined by Paolucci and Pitilakis (2007), although these simplified formulas are adopted by most of the available technical guidelines (e.g.…”

Section: Introductionmentioning

confidence: 99%

Earthquake induced ground strains in the presence of strong lateral soil heterogeneities

Scandella

Paolucci

2010

Bull Earthquake Eng

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Transient ground strains are recognized to govern the response of buried elongated structures, such as pipelines and tunnels, under seismic wave propagation. Since a direct measure of ground strains is not generally available, simplified formulas relating peak ground strain to peak ground velocity, and based on 1D wave propagation theory in homogeneous media, are typically used for seismic design. Although they are adopted by most of the available technical guidelines, the use of these formulas may be questionable in complex realistic situations as either in the presence of strong lateral discontinuities, or in the epicentral area of large earthquakes, or in sites where relevant site amplification effects and spatial incoherency of ground motion are expected. \ud To provide a contribution to overcome the previous limitations, a simplified formula relating peak ground longitudinal strain to peak ground velocity is proposed in this paper, as a function of the geometrical and dynamic parameters which have the major influence on strain evaluation. The formula has been obtained under small-strain assumptions, so that it can reasonably be applied under linear or moderately non-linear soil behaviour. The adequacy of this formula in the most common case of vertically propagating S-waves has been checked against 2D numerical solutions by Spectral Elements (SE) for representative geological cross-sections in Parkway Valley (New Zealand) and in the cities of Catania (Italy) and Thessaloniki (Greece). \ud The shear strain and the longitudinal strain variability with depth is also investigated, through some qualitative examples and comparisons with analytical formulas

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Seismic Damage to Segmented Buried Pipe

Cited by 81 publications

References 5 publications

Estimation of Earthquake Damage to Buried Pipelines Caused by Ground Shaking

Estimation of Earthquake Damage to Buried Pipelines Caused by Ground Shaking

Modeling the resilience of critical infrastructure: the role of network dependencies

Earthquake induced ground strains in the presence of strong lateral soil heterogeneities

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