Integration of 3D large‐scale earthquake simulations into the assessment of the seismic risk of Bogota, Colombia

2020 ◽  
Vol 50 (1) ◽  
pp. 155-176
Author(s):  
Andrea C. Riaño ◽  
Juan C. Reyes ◽  
Luis E. Yamín ◽  
Jacobo Bielak ◽  
Ricardo Taborda ◽  
...  
Keyword(s):  
Seismic Risk ◽  
Large Scale ◽  
Earthquake Simulations

scholarly journals Managing Large Scale Data for Earthquake Simulations

2007 ◽  
Vol 5 (3) ◽  
pp. 295-302 ◽  
Author(s):  
Marcio Faerman ◽  
Reagan Moore ◽  
Yifeng Cui ◽  
Yuanfang Hu ◽  
Jing Zhu ◽  
...  
Keyword(s):  
Large Scale ◽  
Large Scale Data ◽  
Earthquake Simulations ◽  
Scale Data

scholarly journals Regional based exposure models to account for local building typologies

2021 ◽  
Author(s):  
G. Tocchi ◽  
M. Polese ◽  
M. Di Ludovico ◽  
A. Prota
Keyword(s):  
Seismic Risk ◽  
Large Scale ◽  
Census Data ◽  
Construction Material ◽  
Regional Scale ◽  
Exposure Model ◽  
Masonry Building ◽  
Building Inventory ◽  
Exposure Models ◽  
Regional Vulnerability

AbstractThe development of building inventory is a fundamental step for the evaluation of the seismic risk at territorial scale. Census data are usually employed for building inventory in large scale application and their use requires suitable rules to assign buildings typologies to vulnerability classes, that is an exposure model specific for the considered vulnerability model. Several exposure models are developed proposing class assignment rules that are calibrated on building typological data available from post-earthquake survey data. However, this approach has the drawback of being based on data from specific geographic areas that have been hit by damaging earthquakes. Indeed, the distribution of building typologies can vary greatly for different areas of a country and the diffusion of one building’s typology rather than another one may depend on the availability of construction material in the area, the evolution of construction techniques and the codes in force at the time of construction. This paper aims to improve the exposure modelling at regional scale, investigating the variability of masonry building typologies distribution. It proposes a methodology to recalibrate the exposure models at regional scale and evaluates the influence of the improved characterization of regional vulnerability on damage and risk assessment. The study shows that the analysis of local building typologies may strongly impact on the evaluation of the seismic risk at territorial scale.

scholarly journals Retrofitting Transportation Network Using a Fuzzy Random Multiobjective Bilevel Model to Hedge against Seismic Risk

2014 ◽  
Vol 2014 ◽  
pp. 1-24 ◽  
Author(s):  
Lu Gan ◽  
Jiuping Xu
Keyword(s):  
Seismic Risk ◽  
Construction Projects ◽  
Large Scale ◽  
Programming Model ◽  
Transportation Network ◽  
Fuzzy Variable ◽  
Fuzzy Random Variable ◽  
Random Variable ◽  
Transportation Systems ◽  
Fuzzy Random

This paper focuses on the problem of hedging against seismic risk through the retrofit of transportation systems in large-scale construction projects (LSCP). A fuzzy random multiobjective bilevel programming model is formulated with the objectives of the retrofit costs and the benefits on two separate levels. After establishing the model, a fuzzy random variable transformation approach and fuzzy variable approximation decomposition are used to deal with the uncertainty. An approximation decomposition-based multi-objective AGLNPSO is developed to solve the model. The results of a case study validate the efficiency of the proposed approach.

The Dynamics of Risk

2019 ◽  
Author(s):  
Louise K. Comfort
Keyword(s):  
Complex Adaptive Systems ◽  
Seismic Risk ◽  
Adaptive Systems ◽  
Large Scale ◽  
Complex Societies ◽  
Complex Adaptive ◽  
Shared Awareness ◽  
Response And Recovery ◽  
Global Threat ◽  
Post Disaster

Earthquakes are a huge global threat. In thirty-six countries, severe seismic risks threaten populations and their increasingly interdependent systems of transportation, communication, energy, and finance. This book provides an examination of how twelve communities in nine countries responded to destructive earthquakes between 1999 and 2015. And many of the book's lessons can also be applied to other large-scale risks. The book sets the global problem of seismic risk in the framework of complex adaptive systems to explore how the consequences of such events ripple across jurisdictions, communities, and organizations in complex societies, triggering unexpected alliances but also exposing social, economic, and legal gaps. It assesses how the networks of organizations involved in response and recovery adapted and acted collectively after the twelve earthquakes it examines. It describes how advances in information technology enabled some communities to anticipate seismic risk better and to manage response and recovery operations more effectively, decreasing losses. Finally, the book shows why investing substantively in global information infrastructure would create shared awareness of seismic risk and make post-disaster relief more effective and less expensive. The result is a landmark study of how to improve the way we prepare for and respond to earthquakes and other disasters in our ever-more-complex world.

Visualizing Very Large-Scale Earthquake Simulations

2003 ◽  
Author(s):  
Kwan-Liu Ma ◽  
Aleksander Stompel ◽  
Jacobo Bielak ◽  
Omar Ghattas ◽  
Eui Joong Kim
Keyword(s):  
Large Scale ◽  
Earthquake Simulations
Sign in / Sign up

Export Citation Format

Share Document