Physics-based repair rate curves for segmented pipelines subject to seismic excitations

Iannacone, Leandro; Gardoni, Paolo

doi:10.1080/23789689.2021.2000146

Cited by 8 publications

(3 citation statements)

References 49 publications

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“…For TGD, the vulnerability is approximately 20% break and 80% leakage, while for PGD, the opposite is true. The vulnerability index of pipes is determined by the RR, indicating number of repairs per unit of pipe length (Iannacone & Gardoni, 2023). Equations ( 5) and ( 6) show the relationship between the RR with transient ground deformation and permanent ground deformation based on PGV and PGD, respectively (Honegger & Eguchi, 1992; M. O'Rourke & Ayala, 1993).…”

Section: Seismic Vulnerability Analysismentioning

confidence: 99%

“…Their study explored the impact of several key parameters, including pipe material properties, diameter-to-wall thickness ratio, buried depth, axial load ratio, internal pressure ratio, and permanent ground deformation. In recent years, many studies have investigated seismic vulnerability of pipeline (Baro & Kumar, 2021;Iannacone & Gardoni, 2022;Ni et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Optimizing gas pipeline routing considering seismic risk through metaheuristic algorithm

Alavi,

Mashayekhi,

Zolfaghari

2024

Preprint

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The gas pipelines are a significant part of energy transportation pipelines and are recognized as a vital component of societal infrastructure. Earthquake-induced damage to gas pipelines can have severe disastrous humanitarian, social, economic, and ecologic consequences. To mitigate these consequences, one effective approach is to carefully design gas pipeline routes, considering the seismic hazard of the region. Conventional gas pipeline design methods consider only minimum distances from faults and fails to account for seismic potential of faults. This paper introduces a methodology that integrates seismic risk assessment into the gas pipeline route design process. Seismic risk is performed using the HAZUS method, and pipeline routing optimization is accomplished through the application of a metaheuristic algorithm within a GIS-based framework. The methodology is applied in to three gas pipeline routing problems within the high seismic region of southern Iran. The results are then compared with conventional approaches, considering factors such as route length, seismic risks, and seismic damage costs. The findings demonstrate the proposed method effectiveness in mitigating seismic risks related to gas pipeline. The proposed method enables a quantitative and direct incorporation of seismic risk into gas pipeline routing, marking a departure from the qualitative methods presently in use.

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Section: Seismic Vulnerability Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimizing gas pipeline routing considering seismic risk through metaheuristic algorithm

Alavi,

Mashayekhi,

Zolfaghari

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Seismic fragility relations are essential for assessing the seismic performance of pipeline networks, which can be used to estimate the expected amount of pipe damage under a given earthquake (e.g. Amaducci et al, 2022; Hou et al, 2022; Huang et al, 2023; Iannacone and Gardoni, 2023). These relations estimate the repair rate, RR (i.e.…”

Section: Introductionmentioning

confidence: 99%

Analytical fragility relation for buried cast iron pipelines with lead-caulked joints based on machine learning algorithms

Zhao,

Li,

et al. 2023

Earthquake Spectra

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A new numerical-based fragility relation for cast iron (CI) pipelines with lead-caulked joints subjected to seismic body-wave propagation is proposed in this article. Two-dimensional 1600-m-length finite element models for pipelines buried in sand are developed in OpenSees. Parametric analysis is performed to investigate the influence of various parameters on the damage estimates of the buried pipelines. Numerical analyses are conducted to estimate the repair rates ( RR) for CI pipelines subjected to wave propagation. The predictive model for RR is thus developed based on the numerical results and the Gaussian Process Regression approach. The model developed employs four predictor variables, namely, the peak particle velocity and wave propagation velocity along axial direction, the maximum soil shear force per unit length, and the outer diameter of pipelines, exhibiting desirable performance in terms of predictive efficiency and generalization. The performance of the developed relation is compared to several existing fragility relations. The new fragility relation can be used to estimate RR for CI pipelines with lead-caulked joints with outer diameters ranging from 169 to 1554 mm subjected to seismic body-wave propagation.

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Seismic risk and resilience analysis of networked industrial facilities

Tabandeh

Sharma

Gardoni

2023

Bull Earthquake Eng

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Physics-based repair rate curves for segmented pipelines subject to seismic excitations

Cited by 8 publications

References 49 publications

Optimizing gas pipeline routing considering seismic risk through metaheuristic algorithm

Optimizing gas pipeline routing considering seismic risk through metaheuristic algorithm

Analytical fragility relation for buried cast iron pipelines with lead-caulked joints based on machine learning algorithms

Seismic risk and resilience analysis of networked industrial facilities

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