主题：Paper Writing, Biofluids and ROM
报告人：John A. Ekaterinaris教授，Embry-Riddle Aeronautical University, USA
报告时间：2025年8月15日上午9：30-11：30
地点：2教南228会议室
报告人简介：
Professor John A. Ekaterinaris is an internationally renowned aerospace scholar. He earned his bachelor's degree from Aristotle University of Thessaloniki, Greece in 1977, followed by a master's degree (1982) and Ph.D. in Aerospace Engineering (1987) from the Georgia Institute of Technology, USA. His career includes positions at the U.S. Naval Postgraduate School with collaborative research at NASA, consultancy for California-based companies including Boeing (1997–2000), and his current professorship at Embry-Riddle Aeronautical University, USA since 2012. His research encompasses computational fluid dynamics, high-accuracy numerical methods, multi-scale problems, biomechanics, and machine learning, with over 80 journal publications. An AIAA Associate Fellow, he has served as Associate Editor and Editor for prominent journals and received funding from major U.S./European research agencies .
报告题目及摘要：
Paper writing from Editor-in-Chief perspective: Introduces the precautions from the paper preparation stage to the paper publication stage, including how to choose a journal, the general structure of academic papers, etc., and provides writing suggestions for each part such as the introduction, methods, results and discussion, conclusion, and references based on personal experience.
Integrative computational modeling of vascular flow and wall mechanics in realistic geometries：A computational framework integrating patient-specific geometries was proposed. Decoupled Fluid-Structure Interaction (FSI) techniques quantified the impact of hemodynamics on aneurysm wall stress, revealing that physiological pulsatile loads significantly increase peak wall stress. Inverse elastic statics methods reconstructed the zero-pressure geometry of carotid bifurcations, demonstrating the critical role of wall compliance on shear stress distribution and flow separation zones. A geometric parameterization tool was developed to elucidate the regulatory mechanisms of vessel curvature/torsion on blood flow and stress distribution, providing new predictive indicators for aneurysm rupture risk.
Construction of mode based reduced order models (ROM) for moving bodies: A Reduced Order Model (ROM)-driven rapid prediction strategy was developed. The efficacy of modal decomposition methods (POD, DMD, CNN) in reconstructing loads on pitching/oscillating bodies was compared, confirming POD's high efficiency for specific conditions. A ROM surrogate model, constructed using surface splines and Kriging interpolation based on CFD data, achieved second-level accurate predictions of aerodynamic loads and separation trajectories for intermediate flight conditions, significantly enhancing the efficiency of aircraft safe separation design.