Simplified modelling of continous buried pipelines subject to earthquake fault rupture

Paolucci, Roberto; Griffini, Stefano; Mariani, Stefano

doi:10.12989/eas.2010.1.3.253

Cited by 23 publications

(7 citation statements)

References 11 publications

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“…Past research focused on developing the engineering tools needed to model the performance of individual infrastructure components like bridges, electric substations, and water and gas pipelines (e.g., Gardoni et al., 2002; Lanzano et al., 2013; Paolucci et al., 2010) and individual infrastructure like transportation, power, water, and gas distribution infrastructure (e.g., Bocchini & Frangopol, 2011; Cavalieri et al., 2014; Esposito et al., 2015; Nocera, Tabandeh, et al., 2019; Pudasaini & Shahandashti, 2020; Sharma & Gardoni, 2022). Past research also focused on additional important factors like the effects of aging and deterioration (e.g., Adeli, 2001; Kumar et al., 2015; Sanchez‐Silva et al., 2011), and the interdependencies among critical infrastructure (e.g., Argyroudis et al., 2015; Galbusera et al., 2018; Ouyang, 2014; Thacker et al., 2017) and among infrastructure and social systems (e.g., Franchin & Cavalieri, 2015; Guidotti et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

Selection of the modeling resolution of infrastructure

Nocera

Gardoni

2022

Computer aided Civil Eng

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Accurate risk analysis requires representative mathematical models of infrastructure. One of the main challenges in developing mathematical models of infrastructure is selecting the modeling resolution from multiple candidates for the required analyses, each candidate having different computational cost, accuracy, and possibly ability to provide information. The goal of selecting the model resolution is to allocate computational resources to the model that best delivers the desired information with the desired accuracy level. This paper proposes a mathematical formulation to select the appropriate resolution for the modeling of infrastructure. We formulate the model selection as an iterative process until a tradeoff is achieved among accuracy, simplicity, and computational efficiency.To select the appropriate level of resolution, we propose novel metrics that measure the level of agreement between estimates of the quantities of interest computed using different levels of resolution. Specifically, we propose global metrics of accuracy that inform if a model is sufficiently detailed or oversimplified. Likewise, we introduce local metrics of accuracy to inform which parts of the model (e.g., spatial portions of the infrastructure model) need refinements. We illustrate the proposed mathematical formulation by selecting the level of resolution of the water infrastructure of Seaside, Oregon, for the purpose of assessing its functionality after a seismic hazard.

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Section: Introductionmentioning

confidence: 99%

Selection of the modeling resolution of infrastructure

Nocera

Gardoni

2022

Computer aided Civil Eng

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“…These works provided the theoretical support to the 1984 ASCE guidelines [3], which have been for decades the basis for seismic analysis design of pipelines crossing active faults. Subsequently, different researchers provided improvements, in the framework of simplified analytical approaches, such as [12], [13], [22], [27], [28], [29].…”

Section: Introductionmentioning

confidence: 99%

“…As a result, such comprehensive numerical analyses are still confined at the research stage, and relatively few examples exist of 3D simulations involving the large-strain non-linear response of all the elements of the problem, i.e., the structure, the soil, and the soil-structure interface (e.g., [11], [21], [22], [25], [26], [33], [34]). In some research works (e.g.…”

Section: Introductionmentioning

confidence: 99%

Numerical modeling of the interaction of pressurized large diameter gas buried pipelines with normal fault ruptures

Özcebe

Paolucci

Mariani

2017

Soil Dynamics and Earthquake Engineering

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Abstract:There is a growing attention towards the seismic response of large diameter pipelines, owing to the potential adverse impact on economy and civilized life of a structural collapse under earthquake effects, such as strong ground shaking, and other earthquake related effects such as fault rupture, landsliding and liquefaction. The intersection of a fault rupture with a pipeline is of special concern, because the safety verification is affected by significant uncertainties in the loading condition, related to the unknown exact location where the fault offset may occur, the unknown amount of the offset itself, as well as the intersection angle of the fault rupture with the pipe axis. Besides, the inherent analytical/numerical complexity of the problem may require 3D finite element models with non-linear constitutive laws and large deformations.In this paper a summary is presented of a comprehensive set of 3D numerical simulations of the interaction of a large diameter gas pipeline with a normal fault rupture, with the main objectives of: 1) throwing light on the pipeline performance under increasing levels of fault offset, including crosssectional buckling and ovalization; 2) providing a parametric set of results, including the variability of the fault-pipe intersection angles, of the mechanical properties of the pipe-soil interface, as well as of the operating conditions, in terms of internal gas pressure and temperature variations.Keywords: fault-soil-pipeline interaction, 3D finite element modeling, performance based seismic design Affiliations:1.

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“…Abdoun et al [14] established a finite element model to investigate the effect of different parameters on the pipeline strain under the active fault. Paolucci et al [15] proposed a numerical model to analyze the pipeline responses under the seismic fault based on the minimization of the total dissipated energy. Vazouras et al [16] established a finite element model of pipelines crossing the fault, mainly discussing the effects of different parameters on the axial strain and displacement of the pipeline.…”

Section: Introductionmentioning

confidence: 99%