Results 91 to 100 of about 128,498 (305)

A Numerical Study of the Flow Interference between Two Circular Cylinders in Tandem by Scale-Adaptive Simulation Model

Journal of Applied Fluid Mechanics, 2020
Unsteady simulations of the flow around two cylinders arranged in tandem are carried out using Scale-Adaptive Simulation (SAS) turbulence model for high subcritical Reynolds number (Re=2×〖10〗^5).
M. Grioni, S. A. Elaskar, A. E. Mirasso
doaj  

Development of an open-source platform for calculating losses from earthquakes [PDF]

, 2012
Risk analysis has a critical role in the reduction of casualties and damages due to earthquakes. Recognition of this relation has led to a rapid rise in demand for accurate, reliable and flexible risk assessment numerical tools and software.
Crowley, H., Pinho, R., Silva, V., Varum, H.   +3 more
core   +1 more source

Nonlinear Response‐History Analyses of Masonry and Mixed Structures With HybriDFEM

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The hybrid discrete‐finite element (HybriDFEM) method, previously developed to perform static and modal analysis in discrete and coupled discrete‐finite element models, is extended to nonlinear response‐history analyses. The equations of motion for the HybriDFEM model are solved through various numerical time‐integration schemes, both explicit
Igor Bouckaert, Michele Godio, João Pacheco de Almeida   +2 more
wiley   +1 more source

Nationwide Earthquake Risk Model for Wood-Frame Houses in Canada

Frontiers in Built Environment, 2019
Quantitative seismic risk assessments involve hazard characterization, exposure database, vulnerability assessment, and uncertainty modeling, and promote consistent risk management actions, when conducted systematically across a country.
Katsuichiro Goda, Katsuichiro Goda
doaj   +1 more source

Quantifying Model Selection Uncertainty in Structural Analysis: Methodology and Application

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT With increasing focus on complex engineering systems under rare events, computational models are critical for predictions due to the scarcity or absence of data. However, selecting an appropriate model can be challenging. Using a single model without available test calibration could result in significant bias in performance predictions. A case
Ya‐Heng Yang, Tracy C. Becker
wiley   +1 more source

Comparative analysis of the seismic hazard of Central China [PDF]

, 2008
Seismic hazard assessment is globally recognised as a tool in identifying levels of earthquake ground shaking within an area. However, methodologies for seismic hazard calculation are wide ranging and produce variations in results and maps.
Burton, Paul W., Cole, Stephen W.
core  

Earthquake and Tsunami NaTech Risk Assessment for Oil Storage Facilities

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Interaction of natural and technological hazards (NaTech) events, such as tsunamis and earthquakes, can affect industrial facilities such as those featuring anchored atmospheric storage tanks. Consequences of natural events on this kind of installation may include the release of hazardous substances, which in turn can lead to industrial ...
Georgios Baltzopoulos, Pasquale Cito, Federica Ricci, Manuela Volpe, Jacopo Selva, Valerio Cozzani, Iunio Iervolino   +6 more
wiley   +1 more source

An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management

Remote Sensing
Predicting macroseismic intensity from instrumental ground motion parameters remains a complex task due to the nonlinear relationship with observed damage patterns.
Federico Mori, Giuseppe Naso
doaj   +1 more source

Introducing Adaptive Incremental Dynamic Analysis: A New Tool for Linking Ground Motion Selection and Structural Response Assessment [PDF]

, 2013
Adaptive Incremental Dynamic Analysis (AIDA) is a novel ground motion selection scheme that adaptively changes the ground motion suites at different ground motion intensity levels to match hazardconsistent properties for structural response assessment ...
Baker, Jack W., Lin, Ting
core   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source