This document discusses the development of a global vulnerability database. It describes estimating earthquake losses using characteristics of past seismic events. It discusses challenges in developing fragility models for different regions and building classes. It also describes the process of deriving fragility and vulnerability functions, including defining structural models, selecting ground motion records, and using the models to estimate damage and losses. Calibration and validation of the models is emphasized.
Here a relative comparison between bnbc2015 & bnbc2006 has been done, especially on lateral load (seismic & wind load). The Important points are covered here on which someone need to consider.
Here a relative comparison between bnbc2015 & bnbc2006 has been done, especially on lateral load (seismic & wind load). The Important points are covered here on which someone need to consider.
Increasing Amorphous Selenium Thickness in Direct Conversion Flat-Panel Image...David Scaduto
Purpose: Contrast-enhanced (CE) breast imaging using iodinated contrast agents requires imaging with x-ray spectra at energies greater than those used in mammography. Optimizing amorphous selenium (a-Se) flat panel imagers (FPI) for this higher energy range may increase lesion conspicuity.
Methods: We compare imaging performance of a conventional FPI with 200 μm a-Se conversion layer to a prototype FPI with 300 μm a-Se layer. Both detectors are evaluated in a Siemens MAMMOMAT Inspiration prototype digital breast tomosynthesis (DBT) system using low-energy (W/Rh 28 kVp) and high-energy (W/Cu 49 kVp) x-ray spectra. Detectability of iodinated lesions in dual-energy images is evaluated using an iodine contrast phantom. Effects of beam obliquity are investigated in projection and reconstructed images using different reconstruction methods. The ideal observer signal-to-noise ratio is used as a figure-of-merit to predict the optimal a-Se thickness for CE lesion detectability without compromising conventional full-field digital mammography (FFDM) and DBT performance.
Results: Increasing a-Se thickness from 200 μm to 300 μm preserves imaging performance at typical mammographic energies (e.g. W/Rh 28 kVp), and improves the detective quantum efficiency (DQE) for high energy (W/Cu 49 kVp) by 30%. While the more penetrating high-energy x-ray photons increase geometric blur due to beam obliquity in the FPI with thicker a-Se layer, the effect on lesion detectability in FBP reconstructions is negligible due to the reconstruction filters employed. Ideal observer SNR for CE objects shows improvements in in-plane detectability with increasing a-Se thicknesses, though small lesion detectability begins to degrade in oblique projections for a-Se thickness above 500 μm.
Conclusion: Increasing a-Se thickness in direct conversion FPI from 200 μm to 300 μm improves lesion detectability in CE breast imaging with virtually no cost to conventional FFDM and DBT.
This work was partially supported by a research grant from Siemens Healthcare.
This document presents an example of analysis design of slab using ETABS. This example examines a simple single story building, which is regular in plan and elevation. It is examining and compares the calculated ultimate moment from CSI ETABS & SAFE with hand calculation. Moment coefficients were used to calculate the ultimate moment. However it is good practice that such hand analysis methods are used to verify the output of more sophisticated methods.
Also, this document contains simple procedure (step-by-step) of how to design solid slab according to Eurocode 2.The process of designing elements will not be revolutionised as a result of using Eurocode 2. Due to time constraints and knowledge, I may not be able to address the whole issues.
RCIS 2016 conference paper: Variable Interactions in Risk Factors for DementiaJim O' Donoghue
Presentation for my paper in #rcis2016. An information systems conference in Grenoble in France. In it I use neural networks to discover novel abstract features from dementia data.
Emergence of Nested Architecture in Mutualistic Ecological CommunitiesSamir Suweis
Mutualistic networks are formed when the interactions between two classes of species are mutually beneficial. They are important examples of cooperation shaped by evolution. Mutualism between animals and plants has a key role in the organization of ecological communities. Such networks in ecology have generally evolved
a nested architecture independent of species composition and latitude; specialist species, with only few mutualistic links, tend to interact with a proper subset of the many mutualistic partners of any of the generalist species.Despite sustained efforts to explain observed network structure on the basis of community-level stability or persistence, such correlative studies have reached minimal consensus. Here we show that nested interaction networks could
emerge as a consequence of an optimization principle aimed at maximizing the species abundance in mutualistic communities. Using analytical and numerical approaches, we show that because of the mutualistic interactions, an increase in abundance of a given species results in a corresponding increase in the total number of individuals
in the community, and also an increase in the nestedness of the interaction matrix. Indeed, the species abundances and the nestedness of the interaction matrix are correlated by a factor that depends on the strength of the mutualistic interactions. Nestedness and the observed spontaneous emergence of generalist and specialist species occur for several dynamical implementations of the variational principle under stationary conditions. Optimized networks, although remaining stable, tend to be less resilient than their counterparts with randomly assigned interactions. In particular, we show analytically that the abundance of the rarest species is linked directly to the resilience of the community. Our work provides a unifying framework for studying the emergent structural and dynamical properties of ecological mutualistic networks.
Efficient Numerical PDE Methods to Solve Calibration and Pricing Problems in ...Volatility
1) Volatility modelling
2) Local stochastic volatility models: stochastic volatility, jumps, local volatility
3) Calibration of parametric local volatility models using partial differential equation (PDE) methods
4) Calibration of non-parametric local volatility volatility models with jumps and stochastic volatility using PDE methods
5) Numerical methods for PDEs
6) Illustrations using SPX and VIX data
Variation and Quality (2.008x Lecture Slides)A. John Hart
Slides accompanying 2.008x* video module on Variation and Quality, Prof. John Hart, MIT, 2016.
*Fundamentals of Manufacturing Processes on edX: https://www.edx.org/course/fundamentals-manufacturing-processes-mitx-2-008x
This is my previous work (a decade ago) regarding modeling, simulation and design of single-axis CMOS MEMS Gyroscope. Hope it helps those who are still working in this field.
Multi Objective Optimization of PMEDM Process Parameter by Topsis Methodijtsrd
In this study, MRR, SR, and HV in powder mixed electrical discharge machining PMEDM were multi criteria decision making MCDM by TOPSIS method. The process parameters used included work piece materials, electrode materials, electrode polarity, pulse on time, pulse off time, current, and titanium powder concentration. Some interaction pairs among the process parameters were also used to evaluate. The results showed that optimal process parameters, including ton = 20 µs, I= 6 A, tof = 57 µs, and 10 g l. The optimum characteristics were MRR = 38.79 mm3 min, SR = 2.71 m, and HV = 771.0 HV. Nguyen Duc Luan | Nguyen Duc Minh | Le Thi Phuong Thanh ""Multi-Objective Optimization of PMEDM Process Parameter by Topsis Method"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23169.pdf
Paper URL: https://www.ijtsrd.com/engineering/manufacturing-engineering/23169/multi-objective-optimization-of-pmedm-process-parameter-by-topsis-method/nguyen-duc-luan
Increasing Amorphous Selenium Thickness in Direct Conversion Flat-Panel Image...David Scaduto
Purpose: Contrast-enhanced (CE) breast imaging using iodinated contrast agents requires imaging with x-ray spectra at energies greater than those used in mammography. Optimizing amorphous selenium (a-Se) flat panel imagers (FPI) for this higher energy range may increase lesion conspicuity.
Methods: We compare imaging performance of a conventional FPI with 200 μm a-Se conversion layer to a prototype FPI with 300 μm a-Se layer. Both detectors are evaluated in a Siemens MAMMOMAT Inspiration prototype digital breast tomosynthesis (DBT) system using low-energy (W/Rh 28 kVp) and high-energy (W/Cu 49 kVp) x-ray spectra. Detectability of iodinated lesions in dual-energy images is evaluated using an iodine contrast phantom. Effects of beam obliquity are investigated in projection and reconstructed images using different reconstruction methods. The ideal observer signal-to-noise ratio is used as a figure-of-merit to predict the optimal a-Se thickness for CE lesion detectability without compromising conventional full-field digital mammography (FFDM) and DBT performance.
Results: Increasing a-Se thickness from 200 μm to 300 μm preserves imaging performance at typical mammographic energies (e.g. W/Rh 28 kVp), and improves the detective quantum efficiency (DQE) for high energy (W/Cu 49 kVp) by 30%. While the more penetrating high-energy x-ray photons increase geometric blur due to beam obliquity in the FPI with thicker a-Se layer, the effect on lesion detectability in FBP reconstructions is negligible due to the reconstruction filters employed. Ideal observer SNR for CE objects shows improvements in in-plane detectability with increasing a-Se thicknesses, though small lesion detectability begins to degrade in oblique projections for a-Se thickness above 500 μm.
Conclusion: Increasing a-Se thickness in direct conversion FPI from 200 μm to 300 μm improves lesion detectability in CE breast imaging with virtually no cost to conventional FFDM and DBT.
This work was partially supported by a research grant from Siemens Healthcare.
This document presents an example of analysis design of slab using ETABS. This example examines a simple single story building, which is regular in plan and elevation. It is examining and compares the calculated ultimate moment from CSI ETABS & SAFE with hand calculation. Moment coefficients were used to calculate the ultimate moment. However it is good practice that such hand analysis methods are used to verify the output of more sophisticated methods.
Also, this document contains simple procedure (step-by-step) of how to design solid slab according to Eurocode 2.The process of designing elements will not be revolutionised as a result of using Eurocode 2. Due to time constraints and knowledge, I may not be able to address the whole issues.
RCIS 2016 conference paper: Variable Interactions in Risk Factors for DementiaJim O' Donoghue
Presentation for my paper in #rcis2016. An information systems conference in Grenoble in France. In it I use neural networks to discover novel abstract features from dementia data.
Emergence of Nested Architecture in Mutualistic Ecological CommunitiesSamir Suweis
Mutualistic networks are formed when the interactions between two classes of species are mutually beneficial. They are important examples of cooperation shaped by evolution. Mutualism between animals and plants has a key role in the organization of ecological communities. Such networks in ecology have generally evolved
a nested architecture independent of species composition and latitude; specialist species, with only few mutualistic links, tend to interact with a proper subset of the many mutualistic partners of any of the generalist species.Despite sustained efforts to explain observed network structure on the basis of community-level stability or persistence, such correlative studies have reached minimal consensus. Here we show that nested interaction networks could
emerge as a consequence of an optimization principle aimed at maximizing the species abundance in mutualistic communities. Using analytical and numerical approaches, we show that because of the mutualistic interactions, an increase in abundance of a given species results in a corresponding increase in the total number of individuals
in the community, and also an increase in the nestedness of the interaction matrix. Indeed, the species abundances and the nestedness of the interaction matrix are correlated by a factor that depends on the strength of the mutualistic interactions. Nestedness and the observed spontaneous emergence of generalist and specialist species occur for several dynamical implementations of the variational principle under stationary conditions. Optimized networks, although remaining stable, tend to be less resilient than their counterparts with randomly assigned interactions. In particular, we show analytically that the abundance of the rarest species is linked directly to the resilience of the community. Our work provides a unifying framework for studying the emergent structural and dynamical properties of ecological mutualistic networks.
Efficient Numerical PDE Methods to Solve Calibration and Pricing Problems in ...Volatility
1) Volatility modelling
2) Local stochastic volatility models: stochastic volatility, jumps, local volatility
3) Calibration of parametric local volatility models using partial differential equation (PDE) methods
4) Calibration of non-parametric local volatility volatility models with jumps and stochastic volatility using PDE methods
5) Numerical methods for PDEs
6) Illustrations using SPX and VIX data
Variation and Quality (2.008x Lecture Slides)A. John Hart
Slides accompanying 2.008x* video module on Variation and Quality, Prof. John Hart, MIT, 2016.
*Fundamentals of Manufacturing Processes on edX: https://www.edx.org/course/fundamentals-manufacturing-processes-mitx-2-008x
This is my previous work (a decade ago) regarding modeling, simulation and design of single-axis CMOS MEMS Gyroscope. Hope it helps those who are still working in this field.
Multi Objective Optimization of PMEDM Process Parameter by Topsis Methodijtsrd
In this study, MRR, SR, and HV in powder mixed electrical discharge machining PMEDM were multi criteria decision making MCDM by TOPSIS method. The process parameters used included work piece materials, electrode materials, electrode polarity, pulse on time, pulse off time, current, and titanium powder concentration. Some interaction pairs among the process parameters were also used to evaluate. The results showed that optimal process parameters, including ton = 20 µs, I= 6 A, tof = 57 µs, and 10 g l. The optimum characteristics were MRR = 38.79 mm3 min, SR = 2.71 m, and HV = 771.0 HV. Nguyen Duc Luan | Nguyen Duc Minh | Le Thi Phuong Thanh ""Multi-Objective Optimization of PMEDM Process Parameter by Topsis Method"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23169.pdf
Paper URL: https://www.ijtsrd.com/engineering/manufacturing-engineering/23169/multi-objective-optimization-of-pmedm-process-parameter-by-topsis-method/nguyen-duc-luan
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Home assignment II on Spectroscopy 2024 Answers.pdf
05 ccara vulnerability
1. Development of a Global
Vulnerability Database
Vitor Silva, Seismic Risk Coordinator
On behalf of the risk team
April 2017 – Pavia, Italy
2. Estimation of earthquake losses
Using the characteristics of past seismic events
18° E
18° E
16° E
16° E
14° E
14° E
12° E
12° E
10° E
10° E
8° E
8° E
46° N 46° N
44° N 44° N
42° N 42° N
40° N 40° N
38° N 38° N
36° N 36° N
Residential value (EUR)
2.0e+009 - 6.5e+009
6.6e+009 - 8.4e+009
8.5e+009 - 9.3e+009
9.4e+009 - 1.1e+010
1.2e+010 - 1.6e+010
1.7e+010 - 2.6e+010
2.7e+010 - 4.9e+010
5.0e+010 - 1.0e+011
Ground shaking Exposure
3. Estimation of earthquake losses - Masonry
No damage
Seismic Intensity
Extensive damage
Slight damage Collapse
4. Estimation of earthquake losses - RC
No damage
Seismic Intensity
Extensive damage
Slight damage Collapse
5. Estimation of earthquake losses - Wooden
No damage
Seismic Intensity
Extensive damage
Slight damage Collapse
7. Estimation of earthquake losses
Using the characteristics of past seismic events
18° E
18° E
16° E
16° E
14° E
14° E
12° E
12° E
10° E
10° E
8° E
8° E
46° N 46° N
44° N 44° N
42° N 42° N
40° N 40° N
38° N 38° N
36° N 36° N
Residential value (EUR)
2.0e+009 - 6.5e+009
6.6e+009 - 8.4e+009
8.5e+009 - 9.3e+009
9.4e+009 - 1.1e+010
1.2e+010 - 1.6e+010
1.7e+010 - 2.6e+010
2.7e+010 - 4.9e+010
5.0e+010 - 1.0e+011
0.00
0.20
0.40
0.60
0.80
1.00
0 0.2 0.4 0.6 0.8 1 1.2
Probabilityofexceedance
Peak ground acceleration (g)
Slight
Moderate
Extensive
Collapse
Ground shaking Exposure
8. Estimation of earthquake losses
Using the characteristics of past seismic events
18° E
18° E
16° E
16° E
14° E
14° E
12° E
12° E
10° E
10° E
8° E
8° E
46° N 46° N
44° N 44° N
42° N 42° N
40° N 40° N
38° N 38° N
36° N 36° N
Residential value (EUR)
2.0e+009 - 6.5e+009
6.6e+009 - 8.4e+009
8.5e+009 - 9.3e+009
9.4e+009 - 1.1e+010
1.2e+010 - 1.6e+010
1.7e+010 - 2.6e+010
2.7e+010 - 4.9e+010
5.0e+010 - 1.0e+011
Ground shaking Exposure
0.00
0.20
0.40
0.60
0.80
1.00
0 0.2 0.4 0.6 0.8 1 1.2
Probabilityofexceedance
Peak ground acceleration (g)
Slight
Moderate
Extensive
Collapse
LossesDamage
10. Challenges in regional fragility assessment
1. Large number of building classes.
2. Variety of failure mechanisms and hysteresis behavior.
3. Select ground motion records compatible with the tectonic
environment
4. Need to maintain consistency in the damage criterion.
5. Need to propagate the three main sources of uncertainty:
1. Record-to-record variability
2. Building-to-building variability
3. Damage definition uncertainty
14. Selection of ground motion records
Collection of records for the region according to the tectonic environment
Period of vibration (sec)
10
-1
10
0
Spectralacceleration(g)
10
-4
10
-3
10
-2
10
-1
10
0
10
1
median spectrum
+1/-1 sigma spectrum
individual spectrum
15. Derivation methodology
Nonlinear dynamic analyses on
2D/3D MDOF systems
Nonlinear static procedures (e.g. N2, CSM) or
direct fragility methodologies (e.g. SPO2IDA)
Accuracyandreliability
Computationaleffort
16. Derivation methodology
Nonlinear dynamic analyses on
2D/3D MDOF systems
Nonlinear static procedures (e.g. N2, CSM) or
direct fragility methodologies (e.g. SPO2IDA)
Accuracyandreliability
Computationaleffort
Nonlinear dynamic analyses on
SDOF systems
17. MDOF
Simplification of 3D or 2D structures into a SDOF
he equivalent SDOF system can be either elastic or inelastic de-
ending on the chosen inelastic analysis method (see Section
.1.3).
he computation of the pushover curve and the subsequent deter-
mination of the properties of the equivalent SDOF system are thor-
ughly discussed in Section 7.2.
Global deformations ∆
Detailed
model
Static force
sing monotonically
m*
h*k*
Equivalent SDOF
system
0
1
2
3
0.0 0.1 0.2 0.3
Global deformation ∆ [m]
HorizontalforceV[MN]
ushover curve“
linear, inelastic
ormation relationship
ndamentals of Seismic Design”
Substitute SDoF structure
Effective displacement
(design displacement)
Effective mass
Effective height ( ) ( )¦¦
==
∆∆=
n
i
ii
n
i
iiie
mHmH
11
/
( ) ( )¦¦
==
∆∆=∆
n
i
ii
n
i
iid
mm
11
2
/
( ) d
n
i
iie
mm ∆∆= ¦
=
/
1
He
me
He
me ∆d
∆i
∆i-1
∆3
∆2
∆1
He
me
He
me ∆d
∆i
∆i-1
∆3
∆2
∆1
Cours
SDOF
Definition of structural models for vulnerability analysis
−0.25 −0.2 −0.15 −0.1 −0.05 0 0.05 0.1 0.15 0.2 0.25
−0.5
−0.4
−0.3
−0.2
−0.1
0
0.1
0.2
0.3
0.4
0.5
Sd [m]
Sa[g]
sdof
pinching4
Hysteresis model
18. Definition of structural models for vulnerability analysis
• +100 peer-reviewed publications
• +20 technical reports
• +500 fragility functions and capacity curves
Years
1975 1980 1985 1990 1995 2000 2005 2010 2015
Cumulativenumberofstudies
0
25
50
75
100
125
150
Cumulativenumberofmodels
0
200
400
600
800
1000
1200
Number of studies
Number of models
22. Derivation of Fragility/Vulnerability functions
Ground motion
records
Single degree of
freedom systems
Period of vibration (sec)
10
-1
10
0
Spectralacceleration(g)
10
-4
10
-3
10
-2
10
-1
10
0
101
median spectrum
+1/-1 sigma spectrum
individual spectrum
Spectral displacement (m)
0 0.1 0.2 0.3 0.4 0.5
Spectralacceleration(g)
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
median curve
+1/-1 sigma curve
sampled curve
Risk Modelers
Toolkit
Spectral acceleration at 0.3 s [g]
0 0.2 0.4 0.6 0.8 1 1.2
Probabilityofexceedance
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Limit state 1
Limit state 2
Limit state 3
Limit state 4
23.
24. Vulnerability Modelling – Costa Rica
0.0
0.2
0.4
0.6
0.8
1.0
0.0 0.4 0.8 1.2 1.6 2.0
Probability of excedense
MCF/DUC/H:1
0.0
0.2
0.4
0.6
0.8
1.0
0.0 0.4 0.8 1.2 1.6 2.0
Probability of excedense
MCF/DUC/H:2
0.0
0.2
0.4
0.6
0.8
1.0
0.0 0.4 0.8 1.2 1.6 2.0
Probability of excedense
CR+PC/DUC/H:1
0.0
0.2
0.4
0.6
0.8
1.0
0.0 0.4 0.8 1.2 1.6 2.0
Probability of excedense
CR+PC/DLO/H:1
0.0
0.2
0.4
0.6
0.8
1.0
0.0 0.4 0.8 1.2 1.6 2.0
Probability of excedense
W+WLI/DLO/H:1
0.0
0.2
0.4
0.6
0.8
1.0
0.0 0.4 0.8 1.2 1.6 2.0
Probability of excedense
MCF/DLO/H:1
0.0
0.2
0.4
0.6
0.8
1.0
0.0 0.4 0.8 1.2 1.6 2.0
Probability of excedense
UNK
0.0
0.2
0.4
0.6
0.8
1.0
0.00 0.50 1.00 1.50 2.00
Probability of Exceedance
MCF/DUC/H:3-6
0.0
0.2
0.4
0.6
0.8
1.0
0.00 0.50 1.00 1.50 2.00
Probability of Exceedance
MUR+ADO/DNO/H:1
0.0
0.2
0.4
0.6
0.8
1.0
0.00 0.25 0.50 0.75 1.00
Probability of Exceedance
CR+CIP/DUH/H:6-12
0.0
0.2
0.4
0.6
0.8
1.0
0.00 0.25 0.50 0.75 1.00
Probability of Exceedance
CR+CIP/DUH/H:3-6
0.0
0.2
0.4
0.6
0.8
1.0
0.00 0.25 0.50 0.75 1.00
ProbabilityofExceedance
CR+CIP/DLO/H:3-6
0.0
0.2
0.4
0.6
0.8
1.0
0.00 0.50 1.00 1.50 2.00
ProbabilityofExceedance
CR/LINF+DUH/H:2-6
0.0
0.2
0.4
0.6
0.8
1.0
0.00 0.50 1.00 1.50 2.00
ProbabilityofExceedance
CR+CIP/LFM+DLO/H:1
0.0
0.2
0.4
0.6
0.8
1.0
0.00 0.50 1.00 1.50 2.00
Probability of Exceedance
CR+CIP/LFM+DLO/H:2-6
Slight
Moderate
Extensive
Collpase
25. The need for vulnerability calibration/verification
”Often, all the model ingredients look fine, but their combination makes
no sense. Calibration is key”
Alex Allmann, Heard of GeoRisk at Munich Re
0
50
100
150
200
250
300
350
400
Model A Model B Model C Model D Model E
Number of collapses
Thousands
Observed
Estimated collapses for adobe buildings due to the 2007 M8.7 Pisco event
26. Damage assessment in South America
Assessment of damage considering the 1999 M6.2 Armenia earthquake
0
5000
10000
15000
20000
25000
30000
35000
40000
45000
50000
Calculated Observed
Numberofcollapses
Ground shaking Collapse map Results
27. Damage assessment in South America
Assessment of damage considering the 2016 M7.8 Muisne earthquake
Ground shaking Collapse map Results
0
5000
10000
15000
Calculated Observed
Numberofcollapses
28. The need for vulnerability calibration/verification
Probabilistic seismic risk assessment for Costa Rica
$43,529
$26,622
$12,293
$5,487
$4,334
$4,181
$3,744
$3,126
$1,621
$464
MCF/DUC/HEX:2
W+WLI/DNO/HEX:1
CR+PC/DLO/HEX:1
MATO/DNO/HEX:1
MCF/DLO/HEX:1
MCF/DUC/HEX:1
W+WLI/DLO/HEX:1
CR+PC/DUC/HEX:1
MR/DLO/HEX:1
MR/DUC/HEX:1
0 50000
Thousands of USD
29. The need for vulnerability calibration/verification
Average annual losses
• This model: 105M USD
• GAR model: 103M USD
Capital stock
• This model: 76B USD
• GAR model: 63M USD
AAL high-residential:
• This model: 60%
• GAR model: 68%
$43,529
$26,622
$12,293
$5,487
$4,334
$4,181
$3,744
$3,126
$1,621
$464
MCF/DUC/HEX:2
W+WLI/DNO/HEX:1
CR+PC/DLO/HEX:1
MATO/DNO/HEX:1
MCF/DLO/HEX:1
MCF/DUC/HEX:1
W+WLI/DLO/HEX:1
CR+PC/DUC/HEX:1
MR/DLO/HEX:1
MR/DUC/HEX:1
0 50000
Thousands of USD
Probabilistic seismic risk assessment for Costa Rica
30. What about the regions with no damage data?
A probabilistic approach can be explored