D
Dracos Vassalos
Researcher at University of Strathclyde
Publications - 230
Citations - 2184
Dracos Vassalos is an academic researcher from University of Strathclyde. The author has contributed to research in topics: Naval architecture & Survivability. The author has an hindex of 20, co-authored 215 publications receiving 1643 citations.
Papers
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Journal ArticleDOI
Vulnerabilities and safety assurance methods in Cyber-Physical Systems: A comprehensive review
Victor Bolbot,Gerasimos Theotokatos,Manuela L. Bujorianu,Evangelos Boulougouris,Dracos Vassalos +4 more
TL;DR: The sources of complexity of Cyber-Physical Systems (CPSs) are meticulously examined and the state-of-the-art and novel methods that are used for the safety assurance of CPSs are reviewed.
Book ChapterDOI
Risk-Based Ship Design
TL;DR: In this paper, the authors present an overview of risk-based design developments over the recent past and attempt to demonstrate that substantial pre-requisite scientific and technological developments are in place for riskbased design to be fully implemented in the maritime industry.
Journal ArticleDOI
Physical modelling and similitude of marine structures
TL;DR: In this paper, the appropriate use of models in the design of marine structures is discussed, with emphasis on the derivation of scaling laws and limitations of accuracy, and Similitude, dimensional analysis and the use of governing equations in model experiment scaling.
Journal Article
Nonlinear dynamics on parametric roll resonance with realistic numerical modelling
TL;DR: In this article, the authors describe the latest collaborative researches between Japan and the UK on parametric roll resonance of a container ship in following and head seas with realistic modelling of restoring moment as a nonlinear function of wave steepness in experimental, geometrical and analytical approaches.
Journal ArticleDOI
A method for the direct assessment of ship collision damage and flooding risk in real conditions
Mingyang Zhang,Fabien Conti,Hervé Le Sourne,Dracos Vassalos,Pentti Kujala,Daniel Lindroth,Spyros Hirdaris +6 more
TL;DR: In this paper, the authors presented a direct analysis methodology that makes use of Automatic Identification System (AIS) data to estimate collision probability and generate scenarios for use in ship damage stability assessment.