Elena Atroshchenko
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View article: Voltage-Based Unsupervised Learning Framework for Bridge Damage Detection in Simultaneous Energy Harvesting and Sensing Systems
Voltage-Based Unsupervised Learning Framework for Bridge Damage Detection in Simultaneous Energy Harvesting and Sensing Systems Open
In this study, piezoelectric energy harvesters (PEHs) are designed to offer dual functionality in structural health monitoring (SHM): harvesting electric power from bridge vibrations while serving as intrinsic damage sensors. This strategy…
View article: Isogeometric design optimization of multi-piezoelectric harvester arrays: a critical analysis of bandwidth vs energy maximization
Isogeometric design optimization of multi-piezoelectric harvester arrays: a critical analysis of bandwidth vs energy maximization Open
Piezoelectric energy harvesters (PEHs) offer a promising solution for converting ambient vibrations into usable electrical energy; however, their narrow operational bandwidth remains a major limitation under variable excitation conditions.…
View article: Design of piezoelectric metastructures with multi-patch isogeometric analysis for enhanced energy harvesting and vibration suppression
Design of piezoelectric metastructures with multi-patch isogeometric analysis for enhanced energy harvesting and vibration suppression Open
View article: Bridge health monitoring through series analysis: Full-scale validation on a Truss Bridge
Bridge health monitoring through series analysis: Full-scale validation on a Truss Bridge Open
View article: Design of thermal meta-structures made of functionally graded materials using isogeometric density-based topology optimization
Design of thermal meta-structures made of functionally graded materials using isogeometric density-based topology optimization Open
View article: Design of Piezoelectric Metastructures with Multi-Patch Isogeometric Analysis for Enhanced Energy Harvesting and Vibration Suppression
Design of Piezoelectric Metastructures with Multi-Patch Isogeometric Analysis for Enhanced Energy Harvesting and Vibration Suppression Open
View article: Voltage-Based Unsupervised Learning Framework for BridgeDamage Detection in Simultaneous Energy Harvesting and SensingSystems
Voltage-Based Unsupervised Learning Framework for BridgeDamage Detection in Simultaneous Energy Harvesting and SensingSystems Open
View article: Bi-Objective Optimisation of Architecturally Constrained Column Layout Design: Strain Energy vs. The Number of Columns
Bi-Objective Optimisation of Architecturally Constrained Column Layout Design: Strain Energy vs. The Number of Columns Open
View article: Nonlinear 3d Mixed-Mode Fracture Modelling by the Coupling Ppr and Dipole-Based Bem Formulation
Nonlinear 3d Mixed-Mode Fracture Modelling by the Coupling Ppr and Dipole-Based Bem Formulation Open
View article: Design of Piezoelectric Metastructures with Multi-Patch Isogeometric Analysis for Enhanced Energy Harvesting and Vibration Suppression
Design of Piezoelectric Metastructures with Multi-Patch Isogeometric Analysis for Enhanced Energy Harvesting and Vibration Suppression Open
Metastructures are engineered systems composed of periodic arrays of identical components, called resonators, designed to achieve specific dynamic effects, such as creating a band gap-a frequency range where waves cannot propagate through …
View article: Design of thermal meta-structures made of functionally graded materials using isogeometric density-based topology optimization
Design of thermal meta-structures made of functionally graded materials using isogeometric density-based topology optimization Open
The thermal conductivity of Functionally Graded Materials (FGMs) can be efficiently designed through topology optimization to obtain thermal meta-structures that actively steer the heat flow. Compared to conventional analytical design meth…
View article: Design of metamaterial-based heat manipulators using isogeometric level-set topology optimization
Design of metamaterial-based heat manipulators using isogeometric level-set topology optimization Open
View article: A New Architecture for Energy Efficient Fault Detection Using Energy Harvesters
A New Architecture for Energy Efficient Fault Detection Using Energy Harvesters Open
The current battery-powered fault detection system for vibration monitoring has a rather limited lifetime. This is because the high-frequency sampling (typically tens of kilo-Hertz) required for vibration monitoring results in high energy …
View article: Shape optimization with adaptive Geometry Independent Field approximaTion (GIFT) in 3D time-harmonic acoustics
Shape optimization with adaptive Geometry Independent Field approximaTion (GIFT) in 3D time-harmonic acoustics Open
In this work, an adaptive shape optimization is developed using Geometry Independent Field approximaTion (GIFT) for 3D acoustics problems. The geometry-independent field approximation, using Non-uniform Rational B-splines (NURBS) to model …
View article: A data-driven methodology for bridge indirect health monitoring using unsupervised computer vision
A data-driven methodology for bridge indirect health monitoring using unsupervised computer vision Open
In recent years, researchers have extensively explored the application of drive-by inspection technology for bridge damage assessment. This approach involves using the response of a sensing vehicle to identify damage. However, many existin…
View article: Bridge Health Monitoring Through Time Series Analysis: Full-Scale Validation on a Truss Bridge
Bridge Health Monitoring Through Time Series Analysis: Full-Scale Validation on a Truss Bridge Open
View article: Optimal design of piezoelectric energy harvesters for bridge infrastructure: Effects of location and traffic intensity on energy production
Optimal design of piezoelectric energy harvesters for bridge infrastructure: Effects of location and traffic intensity on energy production Open
Piezoelectric energy harvesters (PEHs) can be used as an additional power supply for a Structural Health Monitoring (SHM) system. Its design can be optimised for the best performance, however, the optimal design depends on the input vibrat…
View article: Adaptive shape optimization with NURBS designs and PHT-splines for solution approximation in time-harmonic acoustics
Adaptive shape optimization with NURBS designs and PHT-splines for solution approximation in time-harmonic acoustics Open
In this paper, we propose the adaptive shape optimization algorithm based on the concept of Geometry Independent Field approximaTion paired with the Sequential Quadratic Programming method, applied to time-harmonic acoustics. Non-Uniform R…
View article: Design optimisation of piezoelectric energy harvesters for bridge infrastructure
Design optimisation of piezoelectric energy harvesters for bridge infrastructure Open
Vibrational energy harvested from the bridge excitation due to the traffic flow or the wind load can be supplied to sensors in a Structural Health Monitoring (SHM) system and help prolong its service life, reduce chemical battery waste and…
View article: Editorial: Moving boundary problems in multi-physics coupling processes
Editorial: Moving boundary problems in multi-physics coupling processes Open
In many problems such as propagation of crack, fluid-structure interaction, flow in deformable porous 11 materials, material forming process and so on, the boundary of material/structure or the interface 12 between different materials/stru…
View article: Optimal design of Piezoelectric Energy Harvesters for bridge infrastructure: Effects of Location and Traffic Intensity on Energy Production
Optimal design of Piezoelectric Energy Harvesters for bridge infrastructure: Effects of Location and Traffic Intensity on Energy Production Open
Piezoelectric energy harvesters (PEHs) can be used as an additional power supply for a Structural Health Monitoring (SHM) system. Its design can be optimised for the best performance; however, the optimal design depends on the input vibrat…
View article: Level set topology optimization of metamaterial-based heat manipulators using isogeometric analysis
Level set topology optimization of metamaterial-based heat manipulators using isogeometric analysis Open
We exploit level set topology optimization to find the optimal material distribution for metamaterial-based heat manipulators. The level set function, geometry, and solution field are parameterized using the non-uniform rational B-spline (…
View article: Shape Optimization with Adaptive Geometry Independent Field Approximation (Gift) in 3d Time-Harmonic Acoustics
Shape Optimization with Adaptive Geometry Independent Field Approximation (Gift) in 3d Time-Harmonic Acoustics Open
View article: A Data-Driven Methodology for Bridge Indirect Health Monitoring Using Unsupervised Computer Vision
A Data-Driven Methodology for Bridge Indirect Health Monitoring Using Unsupervised Computer Vision Open
View article: Shape Optimization with Adaptive Geometry Independent Field Approximation (Gift) in 3d Time-Harmonic Acoustics
Shape Optimization with Adaptive Geometry Independent Field Approximation (Gift) in 3d Time-Harmonic Acoustics Open
View article: Design Optimisation of Piezoelectric Energy Harvesters for Bridge Infrastructure
Design Optimisation of Piezoelectric Energy Harvesters for Bridge Infrastructure Open
View article: Adaptive shape optimization with NURBS designs and PHT-splines for solution approximation in time-harmonic acoustics
Adaptive shape optimization with NURBS designs and PHT-splines for solution approximation in time-harmonic acoustics Open
Geometry Independent Field approximaTion (GIFT) was proposed as a generalization of Isogeometric analysis (IGA), where different types of splines are used for the parameterization of the computational domain and approximation of the unknow…
View article: Design of metamaterial-based heat manipulators by isogeometric shape optimization
Design of metamaterial-based heat manipulators by isogeometric shape optimization Open
View article: ARTIFICIAL NEURAL NETWORK METHODS FOR BOUNDARY INTEGRAL EQUATIONS
ARTIFICIAL NEURAL NETWORK METHODS FOR BOUNDARY INTEGRAL EQUATIONS Open
In this work, we present a deep neural network method for solving two-dimensional boundary value problems (BVPs) formulated in terms of boundary integral equations (BIEs). It is assumed that the boundary is parameterized by Non-Uniform Rat…
View article: ARTIFICIAL NEURAL NETWORK METHODS FOR BOUNDARY INTEGRAL EQUATIONS
ARTIFICIAL NEURAL NETWORK METHODS FOR BOUNDARY INTEGRAL EQUATIONS Open
In this work, we present a deep neural network method for solving two-dimensional boundary value problems (BVPs) formulated in terms of boundary integral equations (BIEs). It is assumed that the boundary is parameterized by Non-Uniform Rat…