Vasileios Fragkoulis

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Lecturer

University of Liverpool

United Kingdom

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Vasileios Fragkoulis is a Lecturer at the University of Liverpool, UK. His research focuses on risk assessment and failure analysis of nonlinear structural systems, including the use of fractional derivative elements and deep learning approaches. He has authored several recent articles examining topics such as stochastic seismic excitation, model updating of slopes, and structural health monitoring.

Recent Grants

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Stochastische Antwortanalysetechniken für „unkonventionell modellierte“ dynamische Konstruktionssysteme

Open Date: 2021-09-01

Close Date: 2024-08-01

Articles (21)

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Collaborators (1)

Marcos Valdebenito

Chief Engineer

Technische Universität Dortmund

GERMANY

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Vasileios Fragkoulis

Research Interests

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About

Recent Grants

Articles (21)

Risk assessment of block random rocking on nonlinear foundation subject to evolutionary seismic ground motion

Probabilistic failure analysis of stochastically excited nonlinear structural systems with fractional derivative elements

Approximate response determination of nonlinear oscillators with fractional derivative elements subjected to combined periodic and evolutionary stochastic excitations

On the Efficacy of Sparse Representation Approaches for Determining Nonlinear Structural System Equations of Motion

Operator norm-based determination of failure probability of nonlinear oscillators with fractional derivative elements subject to imprecise stationary Gaussian loads

Survival probability surfaces of hysteretic fractional order structures exposed to non-stationary code-compliant stochastic seismic excitation

Probability of failure of nonlinear oscillators with fractional derivative elements subject to imprecise Gaussian loads

Deep learning-based prediction of wind-induced lateral displacement response of suspension bridge decks for structural health monitoring

Experimental model updating of slope considering spatially varying soil properties and dynamic loading

Spectral incremental dynamic methodology for nonlinear structural systems endowed with fractional derivative elements subjected to fully non-stationary stochastic excitation

Deep learning-based reconstruction of missing long-term girder-end displacement data for suspension bridge health monitoring

Non-stationary response of nonlinear systems with singular parameter matrices subject to combined deterministic and stochastic excitation

Survival probability determination of nonlinear oscillators with fractional derivative elements under evolutionary stochastic excitation

Excitation–response relationships for linear structural systems with singular parameter matrices: A periodized harmonic wavelet perspective

Joint Statistics of Natural Frequencies Corresponding to Structural Systems with Singular Random Parameter Matrices

Operator Norm-Based Statistical Linearization to Bound the First Excursion Probability of Nonlinear Structures Subjected to Imprecise Stochastic Loading

An approximate stochastic dynamics approach for design spectrum based response analysis of nonlinear structural systems with fractional derivative elements

Response Determination of Nonlinear Systems with Singular Matrices Subject to Combined Stochastic and Deterministic Excitations

Deterministic and Random Vibration of Linear Systems with Singular Parameter Matrices and Fractional Derivative Terms

Harmonic wavelets based response evolutionary power spectrum determination of linear and nonlinear structural systems with singular matrices

Random vibration of linear systems with singular matrices based on Kronecker canonical forms of matrix pencils

Collaborators (1)

Marcos Valdebenito

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