Barbara L. da Silva

Dr. Barbara L. da Silva serves as Assistant Professor in the Department of Mechanical and Materials Engineering at Smith Engineering, Queen's University, a position she has held since 2024. Her research program integrates advanced computational techniques with experimental methodologies to investigate fundamental fluid dynamics phenomena with applications in wind engineering and energy systems.

Her academic credentials include:

• Ph.D. in Mechanical Engineering from the University of Saskatchewan (2023)
• M.Sc. in Chemical Engineering from the University of Blumenau (2016)
• Bachelor's degree in Chemical Engineering from the University of Blumenau (2015)

Dr. da Silva specializes in bluff body aerodynamics, with particular expertise in wake flows around surface-mounted prisms and cubes. Her research employs large-eddy simulation (LES) and both intrusive and non-intrusive experimental techniques to analyze complex flow structures, boundary layer interactions, and wake interference effects. Current investigations focus on three-dimensional flow dynamics, aspect ratio influences, and applications spanning wind engineering, renewable energy systems, and biomedical fluid mechanics including cerebral blood flow.

Analysis of her publication record (2019-2025) reveals a consistent research trajectory centered on surface-mounted bluff body aerodynamics. Her work demonstrates progressive sophistication in examining three-dimensional flow structures, wake interference in tandem configurations, and boundary layer effects across varying aspect ratios. Notably, she has expanded her expertise into biomedical applications with recent work on turbulent blood flow in cerebral aneurysms, while maintaining core contributions to wind engineering fundamentals.

No scientific awards or major honors are documented in the available information. The provided materials contain no details regarding graduate student supervision, research grants, or laboratory facilities. Her current research appears focused on extending fundamental flow understanding to practical engineering applications while exploring new domains in biological fluid dynamics.