Vasileios Fragkoulis, Ph. D.
Research
- applied and computational mathematics
- uncertainty quantification methodologies
- stochastic and fractional calculi
- wavelet theory modeling and analyses
- stochastic dynamics and nonlinear systems
Biography
Dr. Vasileios Fragkoulis is a Research Associate and a member of the Institute for Risk and Reliability at Leibniz University Hannover. He earned his Ph.D. from the Department of Mathematical Sciences at the University of Liverpool. He also holds a M.Sc. degree and a 5-year Diploma from the School of Applied Mathematical and Physical Sciences at the National Technical University of Athens, both in the area of Applied Mathematical Sciences. Dr. Fragkoulis’ research interests focus on the general area of Engineering and Applied Mathematics, and more specifically on Stochastic Dynamics and Uncertainty Quantification methodologies with diverse applications in Civil/Mechanical Engineering and Engineering Mechanics. Analyzing and assessing the reliability of complex engineering systems and structures under the presence of uncertainties constitutes his main research theme. Dr. Fragkoulis has successfully acquired research funding from the German Research Foundation (DFG). He is leading as the Principal Investigator a research proposal awarded under a scheme which recognizes early stage scholars with high levels of promise and excellence. He supervises and co-supervises two Ph.D. students, and he teaches the class ‘Advanced stochastic analysis’ at the Postgraduate course ‘Computational methods in engineering’.
Lehrveranstaltungen
Journal-Artikel
-
(2024): Deep Learning-Based Prediction of Wind-Induced Lateral Displacement Response of Suspension Bridge Decks for Structural Health Monitoring, Journal of Wind Engineering & Industrial Aerodynamics, 247, Article 105679
DOI: 10.1016/j.jweia.2024.105679 -
(2023): Survival probability determination of nonlinear oscillators with fractional derivative elements under evolutionary stochastic excitation, Probabilistic Engineering Mechanics, 71, 103411
DOI: 10.1016/j.probengmech.2022.103411 -
(2023): Non-stationary response of nonlinear systems with singular parameter matrices subject to combined deterministic and stochastic excitation, Mechanical Systems and Signal Processing, 188, Article 110009
DOI: 10.1016/j.ymssp.2022.110009 -
(2023): Deep Learning-Based Reconstruction of Missing Long-Term Girder-End Displacement Data for Suspension Bridge Health Monitoring, Computers and Structures, 284, Article 107070.
DOI: 10.1016/j.compstruc.2023.107070 -
(2022): Joint statistics of natural frequencies corresponding to structural systems with singular random parameter matrices, ASCE Journal of Engineering Mechanics, 148(3). Article 04022001.
-
(2022): Non-stationary response determination of nonlinear systems subjected to combined deterministic and evolutionary stochastic excitations, International Journal of Non-Linear Mechanics, 147, Article 104192, (Special Issue, Invited).
DOI: 10.1016/j.ijnonlinmec.2022.104192 -
(2022): An approximate stochastic dynamics approach for design spectrum based response analysis of nonlinear structural systems with fractional derivative elements, International Journal of Non-Linear Mechanics, 146, Article 104178.
DOI: 10.1016/j.ijnonlinmec.2022.104178 -
(2022): Operator Norm-based Statistical Linearization to Bound the First Excursion Probability of Nonlinear Structures Subjected to Imprecise Stochastic Loading, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 8(1), Article 04021086.
-
(2022): Excitation-response relationships for linear structural systems with singular parameter matrices: A periodized harmonic wavelet perspective, Mechanical Systems and Signal Processing, 169, Article 108701.
-
(2021): Random vibration of linear systems with singular matrices based on Kronecker canonical forms of matrix pencils, Mechanical Systems and Signal Processing, 161, 107896.
-
(2021): Response determination of nonlinear systems with singular matrices subject to combined stochastic and deterministic excitations, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(4), Article 04021049.
-
(2021): Deterministic and random vibration of linear systems with singular parameter matrices and fractional derivative terms, Journal of engineering mechanics, DOI: 10.1061/(ASCE)EM.1943-7889.0001937.
-
(2020): Harmonic wavelets based response evolutionary power spectrum determination of linear and nonlinear structural systems with singular matrices, Mechanical Systems and Signal Processing, 149, Article 107203. | Datei |
DOI: 10.1016/j.ymssp.2020.107203 -
(2019): Non-stationary response statistics of nonlinear oscillators with fractional derivative elements under evolutionary stochastic excitation, Nonlinear Dynamics, 7, 1–13, doi 10.1007/s11071-019-05124-0.
-
(2017): Random vibration of linear and nonlinear structural systems with singular matrices: A frequency domain approach, Journal of Sound and Vibration, 404:84-101.
DOI: 10.1016/j.jsv.2017.05.038 -
(2016): Statistical linearization of nonlinear structural systems with singular matrices, ASCE Journal of Engineering Mechanics, 142(9):04016063-11.
DOI: 10.1061/(ASCE)EM.1943-7889.0001119 -
(2015): Linear random vibration of structural systems with singular matrices, ASCE Journal of Engineering Mechanics, 142(2):04015081-11.
DOI: 10.1061/(ASCE)EM.1943-7889.0001000
Forschungsprojekte
Abgeschlossene Forschungsprojekte am Institut für Risiko und Zuverlässigkeit
-
Marie Curie FP7-PEOPLE-2013 International Research Staff Exchange Scheme “PLENOSE: Large Multipurpose Platforms for Exploiting Renewable Energy in Open Seas”Jahr: 2014Förderung: European Commission: 42.100,00£Laufzeit: 05/2014 – 04/2018
Aktuelle Forschungsprojekte am Institut für Risiko und Zuverlässigkeit
-
H2020-MSCA-RISE-2016 “Reliability and Safety Engineering and Technology for large maritime engineering systems” (RESET)Leitung: Prof. Dr.-Ing. Michael Beer (Beneficiary)Team:Jahr: 2017Förderung: European Commission: 229.500,00€Laufzeit: 05/2017 – 05/2021© gloriaurban4 (CC0)
-
H2020-MSCA-RISE-2016 “Reliability and Safety Engineering and Technology for large maritime engineering systems” (RESET)Leitung: Prof. Dr.-Ing. Michael Beer (Beneficiary)Team:Jahr: 2017Förderung: European Commission: 229.500,00€Laufzeit: 05/2017 – 05/2021© gloriaurban4 (CC0)
-
H2020-MSCA-ITN-2017 "Dynamic virtualisation: modelling performance of engineering structures" (DyVirt)Leitung: Prof. Dr.-Ing. Michael Beer (Beneficiary)Team:Jahr: 2018Förderung: European Commission: 237.735,22€Laufzeit: 02/2018 – 02/2022© Andy Dingley (cc by-sa)
-
Stochastische Antwortanalysetechniken für „unkonventionell modellierte“ dynamische KonstruktionssystemeTeam:Jahr: 2021Förderung: Deutsche Forschungsgemeinschaft (Bonn, Germany): Grant No. FR 4442/2-1 “Temporary Positions for Principal Investigators”, Amount: € 327,932Laufzeit: 09/2021 - 08/2024