Results 321 to 330 of about 7,708,418 (401)

Machine Learning-Based Fast Seismic Risk Assessment of Building Structures

Journal of earthquake engineering, 2021
A machine learning-based fast seismic risk assessment framework is proposed to ease the computational burden in estimating the potential earthquake-induced loss of a building during its intended life.
Qi Tang, J. Dang, Yao Cui, Xin Wang, J. Jia   +4 more
semanticscholar   +1 more source

Seismic risk

European Journal of Environmental and Civil Engineering, 2011
This paper presents numerical techniques for computing the response of reinforced concretes structures.
Jacky Mazars, Stéphane Grange, Cédric Desprez   +2 more
openaire   +1 more source

A Bayesian Network Model for Seismic Risk Analysis

Risk Analysis, 2021
Earthquakes are one of the most unpredictable natural disasters. A series of secondary and derived disaster events may occur afterwards and lead to even more consequences.
Y. Zhang, W. Weng
semanticscholar   +1 more source

Rapid seismic risk assessment

International Journal of Disaster Risk Reduction, 2017
This paper deals with seismic risk on the Croatian territory, especially since population growth in risk-prone areas increases the potential loss due to an earthquake. The net effects of such urbanization factors are examined through the use of simulation models that estimate building inventory under possible seismic hazard expressed with peak ground ...
Kalman Šipoš, Tanja, Hadzima-Nyarko, Marijana   +1 more
openaire   +1 more source

Exposure model for European seismic risk assessment

Earthquake spectra, 2020
Building exposure and vulnerability models for seismic risk assessment have been the focus of a number of European projects in recent years, but there has never been a concerted effort among the research community to produce a uniform European risk model.
H. Crowley, V. Despotaki, D. Rodrigues, V. Silva, D. Toma-Danila, Evi Riga, A. Karatzetzou, S. Fotopoulou, Željko Žugić, L. Sousa, Sevgi Ozcebe, P. Gamba   +11 more
semanticscholar   +1 more source

Exposure forecasting for seismic risk estimation: Application to Costa Rica

, 2021
This study proposes a framework to forecast the spatial distribution of population and residential buildings for the assessment of future disaster risk.
A. Calderón, V. Silva
semanticscholar   +1 more source

Exploring probabilistic seismic risk assessment accounting for seismicity clustering and damage accumulation: Part II. Risk analysis

, 2021
In current practice, most earthquake risk models adopt a “declustered” view of seismicity, that is, they disregard foreshock, aftershock, and triggered earthquakes and model seismicity as a series of independent mainshock events, whose occurrence ...
Athanasios N. Papadopoulos, P. Bazzurro
semanticscholar   +1 more source

Seismic Risk Evaluation

Surveys in Geophysics, 2000
This paper reports the main results of the EC-ProjectSERGISAI. The project developed a computer prototypewhere a methodology for seismic risk assessment hasbeen implemented. Standard procedural codes,Geographic Information Systems and ArtificialIntelligence Techniques compose the prototype, whichpermits a seismic risk assessment to be carried ...
F. Meroni, G. Zonno
openaire   +1 more source

Bi‐objective mountain railway alignment optimization incorporating seismic risk assessment

Comput. Aided Civ. Infrastructure Eng., 2020
Mountain railway alignment optimization is known as a very complex engineering problem that should consider many factors, such as drastically undulating terrain, geological hazard impacts, and additional constraints.
Taoran Song, Hao Pu, P. Schonfeld, Hong Zhang, Wei Li, Jianping Hu, Jie Wang, Jianxi Wang   +7 more
semanticscholar   +1 more source

Seismic Risk Assessment for Masonry Buildings Typologies from L’Aquila 2009 Earthquake Damage Data

Journal of earthquake engineering, 2020
In this study a seismic risk analysis of masonry buildings based on damage data of L’Aquila 2009 earthquake is presented. Typological loss curves and Expected Annualized Losses (EAL) values are presented, starting from the data collected into AeDES forms
M. D’Amato, Raffaele Laguardia, Gino Di Trocchio, Matteo Coltellacci, R. Gigliotti   +4 more
semanticscholar   +1 more source