Results 101 to 110 of about 18,078 (267)

Concept, Tests, and Optimum Design of Novel Negative Stiffness Friction Dampers for Seismic Protection of Long‐Span Bridges

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Viscous dampers (VDs) are widely used to mitigate the excessive responses of long‐span bridges. However, VDs face some intricate challenges in engineering practices, including high damping coefficient requirement, potential base shear amplification and tremendous damping force under high velocity. To address these issues, this study develops a
Ruisheng Ma, Shaodong Jiang, Kun Xu, Qiang Han, Xiuli Du, Kaiming Bi   +5 more
wiley   +1 more source

Seismic Structural Reliability by Time‐Variant Fragility Functions

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The seismic vulnerability of aging structures is often represented in the form of fragility curves that vary with time. On one hand, each of these functions is intended to apply if the earthquake hits at the time the fragility refers to. On the other hand, performance‐based earthquake engineering (PBEE) resources to classical probabilistic ...
Iunio Iervolino
wiley   +1 more source

Ruch liniowego układu dynamicznego po losowo nierównej belce na sprężystym podłożu

Engineering Transactions, 1971
Motion of a linear system on the uneven beam on an elastic foundations A dynamic system with elastic and viscous bonds is moving on the undulated surface of an indefinitely long beam on elastic foundations.
Andrzej CHUDZIKIEWICZ
doaj  

Cross‐Entropy of Power Spectral Density Function: A Modal Identification Framework

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The power spectral density (PSD) function of measured structural response contains a significant amount of information, including the modal parameters (natural frequencies, damping ratios). Output‐only system identification or modal identification technique can be used for extracting such modal parameters from the measured response or its ...
Su‐Hong Kim, Jae‐Seung Hwang, Dae‐Kun Kwon, Ahsan Kareem   +3 more
wiley   +1 more source

Energy‐Based Characterisation of Earthquake Damage in Masonry Infills Through Combined In‐Plane and Out‐of‐Plane Experimental Tests

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The seismic capacity of structural systems/members is usually defined in terms of deformation thresholds. Although this is effective in many circumstances, disregarding cumulative quantities such as hysteretic energy may be ineffective when low‐cycle fatigue is relevant (e.g., long‐duration ground motions, very soft soils, ground‐motion ...
Roberto Gentile, Giulia Angelucci, Jingren Wu, Marilisa Di Benedetto, Riccardo Milanesi, Giulio Augusto Tropea, Fabrizio Mollaioli, Fatemeh Jalayer, Fabio Freddi, Fabio Di Trapani, Paolo Morandi, Gerard J. O'Reilly   +11 more
wiley   +1 more source

Surrogate‐Based Time‐Continuous Seismic Fragility Assessment of Corrosion‐Deteriorated Reinforced Concrete Bridges Under Climate Change

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Seismic fragility assessment of reinforced concrete (RC) bridges exposed to corrosive environments must reliably capture time‐dependent deterioration impacts. Climate change compounds this challenge through nonstationary temperature and humidity variations that accelerate bridge corrosion.
Yexiang Yan, Yazhou Xie
wiley   +1 more source

Complex Versus Parsimonious Site‐Based Stochastic Ground Motion Models: Which One Is Better?

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Stochastic ground motion models (GMMs) provide a probabilistic representation of seismic input and are increasingly important for uncertainty quantification (UQ) in earthquake engineering. This study focuses on site‐based stochastic GMMs, which learn the statistical features of selected datasets of seismic records and generate statistically ...
Maijia Su, Mayssa Dabaghi, Marco Broccardo   +2 more
wiley   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

Energy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source

Stationary measures for certain stochastic processes [PDF]

Pacific Journal of Mathematics, 1958
openaire   +2 more sources