Results 201 to 210 of about 119,173 (294)

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

Low-Frequency Electromagnetic Signals Observed before Strong Earthquakes

, 2019
I., Rokityansky, or, I., Babak, Valeriia, V., Tereshyn, Artem   +2 more
openaire   +3 more sources

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

Numerical investigation of seismic behavior in segmental assembled continuous beam bridges under near-fault ground motions. [PDF]

Sci Prog
Zhou Q, Zhou H, Xu H, Kang A, Zhang Q.
europepmc   +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

Finite Element Modelling of Rocking and Hybrid Precast Walls under Seismic Loading

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT In recent years, self‐centring systems have received considerable research interest in the seismic design of precast concrete structures for their ability to limit damage and satisfy resilience requirements. Rocking and hybrid structural walls, characterised by the formation of a single gap at the wall–foundation interface, mitigate damage by ...
Andrea Belleri, Michele E. Bressanelli, Simone Labò, Jose I. Restrepo   +3 more
wiley   +1 more source

Attenuation tomography using large-scale seafloor and land network data in northeast Japan. [PDF]

Sci Rep
Dhakal YP, Nakamura R, Kunugi T, Aoi S.
europepmc   +1 more source

General Framework for Multi‐Degree‐of‐Freedom Stiffness Matrix Updating for Iterative Solution Algorithms in Hybrid Simulation

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Iterative solvers are advantageous for handling nonlinear structural analysis problems. The iterative solvers often require updating the stiffness matrix, which limits their application in static and pseudo‐dynamic hybrid simulations because: (1) updating the stiffness matrix of a system involving a physical specimen is challenging; (2 ...
Junyan Xiao, Oh‐Sung Kwon, Evan Bentz
wiley   +1 more source

Time-Frequency-Based Separation of Earthquake and Noise Signals on Real Seismic Data: EMD, DWT and Ensemble Classifier Approaches. [PDF]

Sensors (Basel)
Erdoğan YE, Narin A.
europepmc   +1 more source

Investigating the predictive power of seismic statistical features using ensemble learning. [PDF]

PLoS One
Quan W, Gorse D.
europepmc   +1 more source