SlideShare a Scribd company logo
SEISMIC VULNERABILITY
OF HYDROGEN PIPELINES
Case study for three European regions
by Cornelio Agostinho
Introduction
The Hydrogen transport by pipelines is more reliable
and efficient than transport in pressure tanks.
As we can see from the graph hydrogen has low
energy per volume unit, instead of the energy per
mass unit which, has highs values, which means that
if we choose the batch method, we transport less
energy.
V!!,#$ ≈ 38 𝑙𝑡 per 1 kg!!
@ 300 𝑏𝑎𝑟
Introduction
Pure H2 Transport: Newly Built Pipeline
Materials Criticality
Steel(C<0,2) Hydrogen Embrittlement
HDPE P Operating
Transport of H2 mixed with Natural Gas
Existing Natural Gas Pipeline
Concentration Limits by weight of H2 in the gas mixture
Work’s Objectives
Construction of fragility curves and estimation of the probability of damage caused by earthquakes in
hydrogen pipelines.
Component under
analysis
Material Seismic data Place
Hydrogen Pipeline Steel and HDPE Hazard curves in PGA
and PGV
Bavaria, Sicily and
Maastricht
Combined analysis betwen Seismic Geology Industrial Engineering
PSHA data collection and subsequent application to Na-tech Risk in the specific case of hydrogen
pipelines.
Approach:
Design and construction
Models Input Example
Mathematical Models of Optimization Production Sites
Storage Sites
Transport
Economic aspects
MILP/MINLP
Space GIS
Based on transition scenarios GAMS
Methods for Network Design
TECHNIQUES FOR THE INSTALLATION OF HYDROGEN PIPELINES
BURIED ON THE SURFACE
-Used in rural or uninhabited areas
-Requires the use of pipe supports
-Requirements for the surface of the soil
hollow opening NO-DIG methods
Na-tech seismic risk
Dynamic geotechnical effects
The seismic performance of the pipeline
depends on the form of deformation of the
soil, it can be transient or permanent.
Deformation types Seismic parameters
Strong Ground Shaking
(SGS)
Peak Ground Velocity
(PGV)
Ground Failure
(GF)
Peak Ground Acceleration
(PGA)
Seismic fragility
Probability to have damage if the
earthquake demand D in terms of IM is
greater than the capacity of the element.
It's a cumulative distribution function.
Fragility = f [D ⩾ C| IM]
Empirical
correlations
Repair
Rate
RR = a × IMb [n° repairs/km]
Fragility
(HAZUS)
𝑃 𝑁 = 𝑛 = 𝑒!""∗$
∗
(""∗$)!
'!
Pf= 1 − 𝑃 𝑁 = 0 =
1 − 𝑒!""∗$
a and b are parameters defined on the basis of a regressive analysis of the damage
data on the available underground pipelines.
State Hazard Consequence (Structural Damage)
DS0 Low Negligible damage; pipe bending
DS1
Significa
nt
Longitudinal and circumferential ruptures;
joints compression.
DS2
High Breaks for CPs; Loss of joints in pipelines.
Stato Hazard Patterns (loss of containment)
RS0 Null No loss
RS1
Low Very limited losses:
Toxic (D < 1 mm/m)
-Inflammable (D < 10 mm/m)
RS2 High Not negligible losses
Risk Status (RS):
Seismic vulnerability models of hydrogen pipelines
Damage Status (DS)
It is related to the
release of dangerous
content.
Pipelines Material Joints Mode of
damage
Continuo
(CP)
Steel(C<0,2)
Polyethylene
(HDPE)
Welded;
Mechanical;
Special.
Tension cracks;
Compression
cracks
Local buckling;
Beam buckling.
Segmented
(SP)
PVC, Vitrified,
Sand, Cast Iron
Mechanical,
Welded
Torsion or
breaking
Structural Aspects of H2 Pipelines
Seismic parameter and Probability of damage
Types of Installation of the
Pipeline
IM to use Motivation
Buried Peak Ground Velocity(PGV)
Related to the longitudinal tension of
the soil.
Above ground Peak Ground Acceleration(PGA)
Related to the inertial response of
the pipe.
Probability of damage
Is the cumulative Probability of damage or loss of
the content given by the combination of the
function of vulnerability (fragility) and the danger
function seismic h(IM) in a specific pipeline.
𝑃 𝑅𝑆 ≥ 𝑅𝑆! 𝐼𝑀 = ∫
"#
𝑃 𝑅𝑆 ≥ 𝑅𝑆! 𝐼𝑀 . ℎ(𝐼𝑀)𝑑𝐼𝑀
The Fragility Curves express the fragility of each
component compared to the seismic intensity
parameter
Fragility
𝑃 𝐷𝑆 ≥ 𝐷𝑆! 𝑜𝑟 𝑅𝑆 ≥ 𝑅𝑆! =
1
2
1 + 𝑒𝑟𝑓
ln 𝐼𝑀 − ln 𝜇
𝛽 2
The Repair Rate is an indicator of pipeline performance that derives from a fetting of post-earthquake data present in
the literature.
Fragility curve in RR
Relation Reference Validity
RR=K1(0,00187).PGV
ALA(2001)
K1=0,6 Acciaio
K1=0,5 HDPE
RR=(PGV/50)2,67
O’Rourke and Ayala
(1993)
HDPE e Ghisa
RR=2,88x10-6
x(PGA-
100)1,97
Isoyama et al. (2000) Tubature fatte in
Ghisa
Empirical Relationships of Fragility
Hazard curves and calculation procedure
1,00E-05
1,00E-04
1,00E-03
1,00E-02
1,00E-01
1,00E+00
0,00E+00 2,00E+01 4,00E+01 6,00E+01 8,00E+01 1,00E+02 1,20E+02
RR/km
di
distanza
PGV(cm/s)
Repair rate
HDPE buried Steel buried
Hazard curves and calculation procedure
0,00E+00
5,00E-02
1,00E-01
1,50E-01
2,00E-01
2,50E-01
3,00E-01
0,0E+002,0E+014,0E+016,0E+018,0E+011,0E+02
Probabilità
PGV(cm/s)
Hazard curves express the probability or
frequency of Excess (EP) of a given
seismic intensity value in a period of time
Y.
2- Fragility curve
1-Hazard curve
The probability of damage is given by the
combination of the function of fragility
with the Seismic Hazard Function h(IM)
3-Probability of damage
Lanzano et al. (2013)
Seismic Risk Analysis is a combination of three factors which are: seismic risk, exposure to seismic risk and
fragility.
Structural
aspects
Class Fragility
Risk state, RS μ (cm/s) β
CP ≥ RS1 37,21 0.29
CP = RS2 63,25 0,12
Case study 1: Bavaria (Germany)
0,00E+00
5,00E-02
1,00E-01
1,50E-01
2,00E-01
2,50E-01
3,00E-01
0,0E+00
2,0E+01
4,0E+01
6,0E+01
8,0E+01
1,0E+02
Probabilità
PGV(cm/s)
Prob. of damage
PP buried RS=RS2
4,00E-02
4,00E-01
1,00E-02 1,00E-01 1,00E+00 1,00E+01 1,00E+02
Probability
of
exceedance(1/y)
PGV(cm/s)
HAZARD CURVE
0,00E+00
2,00E-06
4,00E-06
6,00E-06
8,00E-06
1,00E-05
1,20E-05
1,40E-05
1,60E-05
6,00E+00
2,60E+01
4,60E+01
6,60E+01
8,60E+01
1,06E+02
Probabilità
PGV(cm/s)
Prob. of damage
PP buried RS>=RS1
Probability of damage
Probability of damage
Case study 1: Bavaria (Germany)
1,00E-06
1,00E-05
1,00E-04
1,00E-03
1,00E-02
1,00E-01
1,00E+00
0,0009
0,001
0,002
0,003
0,004
0,005
0,007
0,0098
0,0137
0,0192
0,0269
0,0376
0,0527
0,0738
0,103
0,145
0,203
0,284
0,397
0,556
0,778
Exceedance
Probability
1
y
PGA(cm/s^2)
Hazard curve
0,00E+00
2,00E-05
4,00E-05
6,00E-05
8,00E-05
1,00E-04
1,20E-04
1,40E-04
0 0,5 1 1,5 2 2,5
Probabilità
PGA(m/s^2)
Probability of Damage Above Ground
Steel Pipeline(WS, SGS, CP)
RS>=RS1
RS=RS2
Case study 2: Maastricht (Netherlands)
0,0001
0,001
0,01
0,1
1
0,001 0,01 0,1 1 10
Exceedance
Probability
(1y)
g
Hazard Curve
0,0001
0,0006
0,0011
0,0016
0,0021
0,0026
0,0031
0,0036
0,0041
0 1 2 3 4
Probabilità
PGA(m/s^2)
Probability of Damage Above Ground
Steel Pipeline(WS, GF, CP)
RS>=RS1
RS=RS2
Maximum probability for a g of 0.556 cm/s2 for a frequency of 0.003 events/year (1 event every thousand years)
Case study 3: Milazzo (sicily)
0,000001
0,00001
0,0001
0,001
0,01
0,1
1
0,001 0,01 0,1 1 10
Exceedance
Probability(1
y)
g
Hazard curve
0,00E+00
2,00E-03
4,00E-03
6,00E-03
8,00E-03
1,00E-02
1,20E-02
1,40E-02
1,60E-02
0 0,5 1 1,5 2 2,5 3 3,5 4
Probabilità
PGA(cm/s^2)
Probability of Damage Above Ground
Steel Pipeline(WS, GF, CP)
RS>=RS1
RS=rs2
There is a maximum probability at a g of 0.556c cm/s2 corresponding to a frequency of 0.014 events/year (1 event per
100 years) in RS2.
Conclusions
The use of the latest generation HDPE materials resistant to hydrogen embrittlement and capable to
operate at high pressures provides considerable savings in the construction and assembly of new hydrogen
pipeline lines.
In the design of the new lines, greater attention must be paid to the type of joints, in order to maintain
a continuity of performance necessary to consider the pipeline as a CP pipeline.
The seismic vulnerability of the old hydrogen pipelines types and those of the new generation were
analyzed. Regards the new generation pipelines, an analysis of historical data of their performance at
earthquakes is required, in order to obtain data for a more accurated evaluation. A greater amount of data is
also required for the D<150 mm pipelines in order to have consistent data for the construction of fragilities in
RS1.
From the three locations analyzed with different assembly conditions and techniques, the best
performances are recorded for the buried steel hydrogen pipelines with welded joints in the presence of SGS. It
is also verified that, for surface pipelines the greatest probability of damage occurs in sicily, this in accordance
with the fact that the seismic risk is higher than in places such as bavaria (germany) and maastricht
(netherlands).

More Related Content

PDF
Analysis of Flow in a Convering-Diverging Nozzle
PDF
dahlstrom_doherty_MODFLOW98
PDF
Exploring the Use of Computation Fluid Dynamics to Model a T-Junction for UM ...
PDF
Changes in dam break hydrodynamic modelling practice - Suter et al
PDF
Analytical modelling of groundwater wells and well systems: how to get it r...
PDF
Numerical investigation of heat transfer and fluid flow characteristics insid...
PDF
Study on Thermal and Hydrodynamic Indexes of a Nanofluid Flow in a Micro Heat...
PDF
Experimental study of evaporation in a tubular solar still
Analysis of Flow in a Convering-Diverging Nozzle
dahlstrom_doherty_MODFLOW98
Exploring the Use of Computation Fluid Dynamics to Model a T-Junction for UM ...
Changes in dam break hydrodynamic modelling practice - Suter et al
Analytical modelling of groundwater wells and well systems: how to get it r...
Numerical investigation of heat transfer and fluid flow characteristics insid...
Study on Thermal and Hydrodynamic Indexes of a Nanofluid Flow in a Micro Heat...
Experimental study of evaporation in a tubular solar still

What's hot (18)

PDF
Iisrt vincent raj (mech)
PPTX
25 decovalex 2019 geochemical and reactive transport evaluations with relevan...
PDF
Key aspects of reservoir evaluation for deep water reservoirs
PDF
Thermal and fluid characteristics of three-layer microchannels heat sinks
PDF
Numerical Investigation of Heat Transfer from Two Different Cylinders in Tand...
PDF
dighe (3)
PDF
CFD-based Evaporation Estimation Approach
PDF
Numerical Investigation of Turbulent Flow over a Rotating Circular Cylinder u...
PPTX
ADNOC_Simulation_Challenges
PDF
Evaluation of Modelling of Flow in Fractures
PDF
Numerical study of non darcian natural convection heat transfer in a rectangu...
PDF
CFD Project
PDF
Ch sw water availibility study and supply demand analysis in kharun sub basin...
PDF
Master_Thesis_Koushik
PPTX
New Approach to Design Capillary Pressure Curves, which Would Improve Simulat...
PPTX
McGill Ozone Contactor Design Project
PPTX
25 Basin-Scale Density-Dependent Groundwater Flow Near a Salt Repository
PDF
DSD-INT 2014 - OpenMI Symposium - A selection of water-related applications o...
Iisrt vincent raj (mech)
25 decovalex 2019 geochemical and reactive transport evaluations with relevan...
Key aspects of reservoir evaluation for deep water reservoirs
Thermal and fluid characteristics of three-layer microchannels heat sinks
Numerical Investigation of Heat Transfer from Two Different Cylinders in Tand...
dighe (3)
CFD-based Evaporation Estimation Approach
Numerical Investigation of Turbulent Flow over a Rotating Circular Cylinder u...
ADNOC_Simulation_Challenges
Evaluation of Modelling of Flow in Fractures
Numerical study of non darcian natural convection heat transfer in a rectangu...
CFD Project
Ch sw water availibility study and supply demand analysis in kharun sub basin...
Master_Thesis_Koushik
New Approach to Design Capillary Pressure Curves, which Would Improve Simulat...
McGill Ozone Contactor Design Project
25 Basin-Scale Density-Dependent Groundwater Flow Near a Salt Repository
DSD-INT 2014 - OpenMI Symposium - A selection of water-related applications o...
Ad

Similar to Seismic vulnerability of hydrogen pipelines (20)

DOCX
Corrugated Steel Arch Pipe: Strength in Curves, Durability in Every Ridge
PDF
CO2QUEST - The effect of impurities on compression and pipeline transportatio...
PPTX
Corrosion Assessment – Half-Cell Potential Method for reinforced concrete
PPTX
Cathodic Protection for Above Ground Storage Tanks (AGSTs)
PDF
Reducing And Analysizing of Flow Accelerated Corrosion at Thermal Power Plant...
PDF
Sensitivity of Transient Phenomena Analysis of the Francis Turbine Power Plants
PPTX
Subject: Concepts in Grounding & Earthing.pptx
PPT
LINE SIZING PROCEDURE IN PROCESS INDUSTRY
PPT
LINE SIZING PROCEDURE IN PROCESS INDUSTRY
PDF
Cv15 nalisis method
PPTX
Research Project Presentation_Michael Li
PDF
EFFECT OF DIMPLES ON FLOW PERFORMANCE OF ENHANCED SURFACE TUBES
PPTX
Junctionless Transistor
PDF
Threshold voltage model for hetero-gate-dielectric tunneling field effect tra...
PDF
CorrosionCathProtBasicDesignSATX
PDF
ANALISIS DESAIN SISTEM GRID PENTANAHAN PLTU BERAU KALIMANTAN TIMUR 2 X 7 MW
PDF
Plasmon Enhanced Internal Quantum Efficiency of CdSe/ZnS Quantum Dots
PDF
The Effects of Copper Addition on the compression behavior of Al-Ca Alloy
PDF
OPTIMIZATION OF PRESTRESSED CONCRETE BEAMS-student vincenzo roberti
PPTX
Piping design and flexibility analysis
Corrugated Steel Arch Pipe: Strength in Curves, Durability in Every Ridge
CO2QUEST - The effect of impurities on compression and pipeline transportatio...
Corrosion Assessment – Half-Cell Potential Method for reinforced concrete
Cathodic Protection for Above Ground Storage Tanks (AGSTs)
Reducing And Analysizing of Flow Accelerated Corrosion at Thermal Power Plant...
Sensitivity of Transient Phenomena Analysis of the Francis Turbine Power Plants
Subject: Concepts in Grounding & Earthing.pptx
LINE SIZING PROCEDURE IN PROCESS INDUSTRY
LINE SIZING PROCEDURE IN PROCESS INDUSTRY
Cv15 nalisis method
Research Project Presentation_Michael Li
EFFECT OF DIMPLES ON FLOW PERFORMANCE OF ENHANCED SURFACE TUBES
Junctionless Transistor
Threshold voltage model for hetero-gate-dielectric tunneling field effect tra...
CorrosionCathProtBasicDesignSATX
ANALISIS DESAIN SISTEM GRID PENTANAHAN PLTU BERAU KALIMANTAN TIMUR 2 X 7 MW
Plasmon Enhanced Internal Quantum Efficiency of CdSe/ZnS Quantum Dots
The Effects of Copper Addition on the compression behavior of Al-Ca Alloy
OPTIMIZATION OF PRESTRESSED CONCRETE BEAMS-student vincenzo roberti
Piping design and flexibility analysis
Ad

Recently uploaded (20)

PPTX
MET 305 2019 SCHEME MODULE 2 COMPLETE.pptx
PDF
Unit I ESSENTIAL OF DIGITAL MARKETING.pdf
PPTX
additive manufacturing of ss316l using mig welding
PPTX
Fundamentals of safety and accident prevention -final (1).pptx
PDF
737-MAX_SRG.pdf student reference guides
PDF
Enhancing Cyber Defense Against Zero-Day Attacks using Ensemble Neural Networks
PPT
Total quality management ppt for engineering students
PPTX
Internet of Things (IOT) - A guide to understanding
PDF
A SYSTEMATIC REVIEW OF APPLICATIONS IN FRAUD DETECTION
PPTX
UNIT 4 Total Quality Management .pptx
PDF
keyrequirementskkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk
PDF
BIO-INSPIRED HORMONAL MODULATION AND ADAPTIVE ORCHESTRATION IN S-AI-GPT
PPT
Introduction, IoT Design Methodology, Case Study on IoT System for Weather Mo...
PPTX
Engineering Ethics, Safety and Environment [Autosaved] (1).pptx
DOCX
ASol_English-Language-Literature-Set-1-27-02-2023-converted.docx
PDF
Level 2 – IBM Data and AI Fundamentals (1)_v1.1.PDF
PPTX
Artificial Intelligence
PDF
PREDICTION OF DIABETES FROM ELECTRONIC HEALTH RECORDS
PDF
BMEC211 - INTRODUCTION TO MECHATRONICS-1.pdf
PDF
Mitigating Risks through Effective Management for Enhancing Organizational Pe...
MET 305 2019 SCHEME MODULE 2 COMPLETE.pptx
Unit I ESSENTIAL OF DIGITAL MARKETING.pdf
additive manufacturing of ss316l using mig welding
Fundamentals of safety and accident prevention -final (1).pptx
737-MAX_SRG.pdf student reference guides
Enhancing Cyber Defense Against Zero-Day Attacks using Ensemble Neural Networks
Total quality management ppt for engineering students
Internet of Things (IOT) - A guide to understanding
A SYSTEMATIC REVIEW OF APPLICATIONS IN FRAUD DETECTION
UNIT 4 Total Quality Management .pptx
keyrequirementskkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk
BIO-INSPIRED HORMONAL MODULATION AND ADAPTIVE ORCHESTRATION IN S-AI-GPT
Introduction, IoT Design Methodology, Case Study on IoT System for Weather Mo...
Engineering Ethics, Safety and Environment [Autosaved] (1).pptx
ASol_English-Language-Literature-Set-1-27-02-2023-converted.docx
Level 2 – IBM Data and AI Fundamentals (1)_v1.1.PDF
Artificial Intelligence
PREDICTION OF DIABETES FROM ELECTRONIC HEALTH RECORDS
BMEC211 - INTRODUCTION TO MECHATRONICS-1.pdf
Mitigating Risks through Effective Management for Enhancing Organizational Pe...

Seismic vulnerability of hydrogen pipelines

  • 1. SEISMIC VULNERABILITY OF HYDROGEN PIPELINES Case study for three European regions by Cornelio Agostinho
  • 2. Introduction The Hydrogen transport by pipelines is more reliable and efficient than transport in pressure tanks. As we can see from the graph hydrogen has low energy per volume unit, instead of the energy per mass unit which, has highs values, which means that if we choose the batch method, we transport less energy. V!!,#$ ≈ 38 𝑙𝑡 per 1 kg!! @ 300 𝑏𝑎𝑟
  • 3. Introduction Pure H2 Transport: Newly Built Pipeline Materials Criticality Steel(C<0,2) Hydrogen Embrittlement HDPE P Operating Transport of H2 mixed with Natural Gas Existing Natural Gas Pipeline Concentration Limits by weight of H2 in the gas mixture
  • 4. Work’s Objectives Construction of fragility curves and estimation of the probability of damage caused by earthquakes in hydrogen pipelines. Component under analysis Material Seismic data Place Hydrogen Pipeline Steel and HDPE Hazard curves in PGA and PGV Bavaria, Sicily and Maastricht Combined analysis betwen Seismic Geology Industrial Engineering PSHA data collection and subsequent application to Na-tech Risk in the specific case of hydrogen pipelines. Approach:
  • 5. Design and construction Models Input Example Mathematical Models of Optimization Production Sites Storage Sites Transport Economic aspects MILP/MINLP Space GIS Based on transition scenarios GAMS Methods for Network Design TECHNIQUES FOR THE INSTALLATION OF HYDROGEN PIPELINES BURIED ON THE SURFACE -Used in rural or uninhabited areas -Requires the use of pipe supports -Requirements for the surface of the soil hollow opening NO-DIG methods
  • 6. Na-tech seismic risk Dynamic geotechnical effects The seismic performance of the pipeline depends on the form of deformation of the soil, it can be transient or permanent. Deformation types Seismic parameters Strong Ground Shaking (SGS) Peak Ground Velocity (PGV) Ground Failure (GF) Peak Ground Acceleration (PGA) Seismic fragility Probability to have damage if the earthquake demand D in terms of IM is greater than the capacity of the element. It's a cumulative distribution function. Fragility = f [D ⩾ C| IM] Empirical correlations Repair Rate RR = a × IMb [n° repairs/km] Fragility (HAZUS) 𝑃 𝑁 = 𝑛 = 𝑒!""∗$ ∗ (""∗$)! '! Pf= 1 − 𝑃 𝑁 = 0 = 1 − 𝑒!""∗$ a and b are parameters defined on the basis of a regressive analysis of the damage data on the available underground pipelines.
  • 7. State Hazard Consequence (Structural Damage) DS0 Low Negligible damage; pipe bending DS1 Significa nt Longitudinal and circumferential ruptures; joints compression. DS2 High Breaks for CPs; Loss of joints in pipelines. Stato Hazard Patterns (loss of containment) RS0 Null No loss RS1 Low Very limited losses: Toxic (D < 1 mm/m) -Inflammable (D < 10 mm/m) RS2 High Not negligible losses Risk Status (RS): Seismic vulnerability models of hydrogen pipelines Damage Status (DS) It is related to the release of dangerous content. Pipelines Material Joints Mode of damage Continuo (CP) Steel(C<0,2) Polyethylene (HDPE) Welded; Mechanical; Special. Tension cracks; Compression cracks Local buckling; Beam buckling. Segmented (SP) PVC, Vitrified, Sand, Cast Iron Mechanical, Welded Torsion or breaking Structural Aspects of H2 Pipelines
  • 8. Seismic parameter and Probability of damage Types of Installation of the Pipeline IM to use Motivation Buried Peak Ground Velocity(PGV) Related to the longitudinal tension of the soil. Above ground Peak Ground Acceleration(PGA) Related to the inertial response of the pipe. Probability of damage Is the cumulative Probability of damage or loss of the content given by the combination of the function of vulnerability (fragility) and the danger function seismic h(IM) in a specific pipeline. 𝑃 𝑅𝑆 ≥ 𝑅𝑆! 𝐼𝑀 = ∫ "# 𝑃 𝑅𝑆 ≥ 𝑅𝑆! 𝐼𝑀 . ℎ(𝐼𝑀)𝑑𝐼𝑀 The Fragility Curves express the fragility of each component compared to the seismic intensity parameter Fragility 𝑃 𝐷𝑆 ≥ 𝐷𝑆! 𝑜𝑟 𝑅𝑆 ≥ 𝑅𝑆! = 1 2 1 + 𝑒𝑟𝑓 ln 𝐼𝑀 − ln 𝜇 𝛽 2
  • 9. The Repair Rate is an indicator of pipeline performance that derives from a fetting of post-earthquake data present in the literature. Fragility curve in RR Relation Reference Validity RR=K1(0,00187).PGV ALA(2001) K1=0,6 Acciaio K1=0,5 HDPE RR=(PGV/50)2,67 O’Rourke and Ayala (1993) HDPE e Ghisa RR=2,88x10-6 x(PGA- 100)1,97 Isoyama et al. (2000) Tubature fatte in Ghisa Empirical Relationships of Fragility Hazard curves and calculation procedure 1,00E-05 1,00E-04 1,00E-03 1,00E-02 1,00E-01 1,00E+00 0,00E+00 2,00E+01 4,00E+01 6,00E+01 8,00E+01 1,00E+02 1,20E+02 RR/km di distanza PGV(cm/s) Repair rate HDPE buried Steel buried
  • 10. Hazard curves and calculation procedure 0,00E+00 5,00E-02 1,00E-01 1,50E-01 2,00E-01 2,50E-01 3,00E-01 0,0E+002,0E+014,0E+016,0E+018,0E+011,0E+02 Probabilità PGV(cm/s) Hazard curves express the probability or frequency of Excess (EP) of a given seismic intensity value in a period of time Y. 2- Fragility curve 1-Hazard curve The probability of damage is given by the combination of the function of fragility with the Seismic Hazard Function h(IM) 3-Probability of damage Lanzano et al. (2013) Seismic Risk Analysis is a combination of three factors which are: seismic risk, exposure to seismic risk and fragility. Structural aspects Class Fragility Risk state, RS μ (cm/s) β CP ≥ RS1 37,21 0.29 CP = RS2 63,25 0,12
  • 11. Case study 1: Bavaria (Germany) 0,00E+00 5,00E-02 1,00E-01 1,50E-01 2,00E-01 2,50E-01 3,00E-01 0,0E+00 2,0E+01 4,0E+01 6,0E+01 8,0E+01 1,0E+02 Probabilità PGV(cm/s) Prob. of damage PP buried RS=RS2 4,00E-02 4,00E-01 1,00E-02 1,00E-01 1,00E+00 1,00E+01 1,00E+02 Probability of exceedance(1/y) PGV(cm/s) HAZARD CURVE 0,00E+00 2,00E-06 4,00E-06 6,00E-06 8,00E-06 1,00E-05 1,20E-05 1,40E-05 1,60E-05 6,00E+00 2,60E+01 4,60E+01 6,60E+01 8,60E+01 1,06E+02 Probabilità PGV(cm/s) Prob. of damage PP buried RS>=RS1 Probability of damage
  • 12. Probability of damage Case study 1: Bavaria (Germany) 1,00E-06 1,00E-05 1,00E-04 1,00E-03 1,00E-02 1,00E-01 1,00E+00 0,0009 0,001 0,002 0,003 0,004 0,005 0,007 0,0098 0,0137 0,0192 0,0269 0,0376 0,0527 0,0738 0,103 0,145 0,203 0,284 0,397 0,556 0,778 Exceedance Probability 1 y PGA(cm/s^2) Hazard curve 0,00E+00 2,00E-05 4,00E-05 6,00E-05 8,00E-05 1,00E-04 1,20E-04 1,40E-04 0 0,5 1 1,5 2 2,5 Probabilità PGA(m/s^2) Probability of Damage Above Ground Steel Pipeline(WS, SGS, CP) RS>=RS1 RS=RS2
  • 13. Case study 2: Maastricht (Netherlands) 0,0001 0,001 0,01 0,1 1 0,001 0,01 0,1 1 10 Exceedance Probability (1y) g Hazard Curve 0,0001 0,0006 0,0011 0,0016 0,0021 0,0026 0,0031 0,0036 0,0041 0 1 2 3 4 Probabilità PGA(m/s^2) Probability of Damage Above Ground Steel Pipeline(WS, GF, CP) RS>=RS1 RS=RS2 Maximum probability for a g of 0.556 cm/s2 for a frequency of 0.003 events/year (1 event every thousand years)
  • 14. Case study 3: Milazzo (sicily) 0,000001 0,00001 0,0001 0,001 0,01 0,1 1 0,001 0,01 0,1 1 10 Exceedance Probability(1 y) g Hazard curve 0,00E+00 2,00E-03 4,00E-03 6,00E-03 8,00E-03 1,00E-02 1,20E-02 1,40E-02 1,60E-02 0 0,5 1 1,5 2 2,5 3 3,5 4 Probabilità PGA(cm/s^2) Probability of Damage Above Ground Steel Pipeline(WS, GF, CP) RS>=RS1 RS=rs2 There is a maximum probability at a g of 0.556c cm/s2 corresponding to a frequency of 0.014 events/year (1 event per 100 years) in RS2.
  • 15. Conclusions The use of the latest generation HDPE materials resistant to hydrogen embrittlement and capable to operate at high pressures provides considerable savings in the construction and assembly of new hydrogen pipeline lines. In the design of the new lines, greater attention must be paid to the type of joints, in order to maintain a continuity of performance necessary to consider the pipeline as a CP pipeline. The seismic vulnerability of the old hydrogen pipelines types and those of the new generation were analyzed. Regards the new generation pipelines, an analysis of historical data of their performance at earthquakes is required, in order to obtain data for a more accurated evaluation. A greater amount of data is also required for the D<150 mm pipelines in order to have consistent data for the construction of fragilities in RS1. From the three locations analyzed with different assembly conditions and techniques, the best performances are recorded for the buried steel hydrogen pipelines with welded joints in the presence of SGS. It is also verified that, for surface pipelines the greatest probability of damage occurs in sicily, this in accordance with the fact that the seismic risk is higher than in places such as bavaria (germany) and maastricht (netherlands).