Browsing School of Engineering by Title
Now showing items 2088-2107 of 2951
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Physically driven full probabilistic uncertainty propagation in complex nonlinear structures
(2023)The safety and reliability evaluation of complex engineering structures under dynamic loading conditions has long been a challenging problem. The coupling of nonlinearity and randomness in high-dimensional or large-degre ... -
Physically driven GE-GDEE and absorbing boundary processes for the first-passage reliability assessment of high-dimensional systems under stochastic excitations
(2023)Accurate reliability assessment of high-dimensional systems excited by stochastic loads is demanding and challenging. The recently developed Globally-Evolving-Based Generalized Probability Density Evolution Equation (GE-GDEE) ... -
Physically short crack propagation in metals during high cycle fatigue
(Elsevier, 2009)In metals, during high cycle fatigue on plain specimens, almost the entire fatigue life is spent as short crack initiation and propagation. The fatigue short crack life can be schematically divided into two subsequent ... -
Physically-driven GE-GDEE and its application to stochastic seismic response and dynamic reliability analyses of practical engineering structures
(2023)Stochastic seismic response and dynamic reliability analyses of large-scale high-rise building structures under earthquake actions is one of the most challenging problems in engineering field. Both the randomness from ... -
Physics model-based probabilistic process optimization and control
(2023)A model-based approach for process design and control is more efficient and economical than the physical experiment-based trial-and-error approach in advanced manufacturing processes such as additive manufacturing (AM). ... -
Physics-Informed Neural Network surrogate model for bypassing Blade Element Momentum theory in wind turbine aerodynamic load estimation
(2024)This paper proposes the use of Artificial Neural Networks (ANNs), specifically Physics-Informed Neural Networks (PINNs), for dynamic surrogate modelling of wind turbines. PINNs offer the flexibility to model complex ... -
PISA: New Design Methods for Offshore Wind Turbine Monopiles
(2017)Improved design of laterally loaded monopiles is central to the development of current and future generation offshore wind farms. Previously established design methods have demonstrable shortcomings requiring new ideas and ... -
Planning by Cycle Parking Type: A Cycle Parking Preference Typology for Cyclists
(2022)The purpose of this study is to develop a typology of cycle parking type preferences among a sample who have access to a cycle and travel within or to the electoral county of Dún Laoghaire-Rathdown, Ireland. Valid online ... -
Plate-type Acoustic Valve Resonator for, Low-frequency Sound Absorption
(Trinity College Dublin. School of Engineering. Discipline of Mechanical & Manuf. Eng, 2024)Plate-type acoustic metamaterials with deep-subwavelength thickness have generated considerable enthusiasm for addressing low-frequency noise. These metamaterials can be tailored to obtain high absorption efficiency by ... -
Plume Characterisation of a Single Source Electrospray for Micro Electronic Cooling
(2014)Development and optimization of two phase electrospray cooling is an undeveloped topic, in part due to unavailable knowledge of how the various electrical, geometrical, thermal and hydraulic parameters influence both ... -
Polarization anisotropy of photoluminescence from triphenylamine-based molecular single crystal
(2013)We present an experimental study of the polarization of the photoluminescence (PL) emission from a (Z)-3-(4-(diphenyl- amino)phenyl)-2-(pyridin-2-yl)-acrylonitrile (DPPyACN) single organic crystal. Our measurements show ... -
Polymer / clay nanocomposites
(Trinity College (Dublin, Ireland). Department of Mechanical and Manufacturing Engineering, 2012)Polymer/clay nanocomposites are a new class of materials with unique properties that are not shared by the pristine polymers or the conventional composites. These materials may present enhanced mechanical, themial, barrier ... -
Polynomial Chaos Surrogate Construction for Stochastic Models with Parametric Uncertainty
(2023)Mesoscopic modeling of surface chemistry bridges atomistic and continuum modeling of surface kinetics. Studying these models, typically simulated via kinetic Monte-Carlo (KMC) methods, is crucial for understanding events ...