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Joaquim Martins

Pauline M. Sherman Collegiate Professor

University of Michigan

United States

Research Interests

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About

Joaquim Martins is the Pauline M. Sherman Collegiate Professor at the University of Michigan, USA. His research focuses on computational fluid dynamics (CFD), design optimization, and sustainable energy solutions, as evidenced by his recent publications on topics such as hydrokinetic turbine design, aerodynamic shape optimization for supersonic transport, and the use of hydrogen as a sustainable transportation fuel. He is also involved in developing advanced optimization techniques for aerostructural applications.

Articles (39)

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Collaborators (15)

Alasdair Christison Gray

University of Michigan

UNITED STATES

Joaquim Martins

Research Interests

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About

Articles (39)

CFD-based design optimization of a 5 kW ducted hydrokinetic turbine with practical constraints

Accelerating Bayesian Inference via Multifidelity Transport Map Coupling

Anisotropic mesh adaptation for high-Order meshes in two dimensions

Solving high Reynolds number flows on Cartesian cut-cell meshes using an ODE wall function with momentum balance

Geometrically nonlinear high-fidelity aerostructural optimization for highly flexible wings

Multipoint Aerostructural Optimization of Wind Turbine Rotors Using a Coupled Blade‐Resolved Aerostructural Solver

Inverse Mapping for Airfoil Optimization Using Multifidelity Reduced-Order Neural Networks

Verification and validation for trustworthy scientific machine learning

Hydrostructural optimization of subcavitating cambered and symmetric composite foils

Wind Turbine Rotor Design Using High-Fidelity Aerostructural Optimization

Adjoint-Based Design Optimization of Stability Constrained Systems

Aerodynamic shape optimization of a supersonic transport including a subsonic static margin constraint

Multifidelity CFD analysis for ducted hydrokinetic turbine design

Hydrogen as a sustainable transportation fuel

Liquid Hydrogen Tank Boil-off Model for Design and Optimization

Minimum Trim Drag for a Three-Surface Supersonic Transport Aircraft

Automatic Difference Operators for the Eikonal Equation

Monolithic p-Adaptive High-Order Aerodynamic Shape Optimization

Airfoil Separation Constraint Formulation for Aerodynamic Shape Optimization

Reprint of : Energy demand comparison for carbon-neutral flight

Simultaneous Design and Trajectory Optimization Strategies for Computationally Expensive Models

Dynamic hydroelasticity of composite appendages with reverse-mode algorithmic differentiation

Adjoint-based shape optimization of a plate-fin heat exchanger using CFD

Automated optimal experimental design strategy for reduced order modeling of aerodynamic flow fields

RANS-Based Aerodynamic Shape Optimization of a Wing with a Propeller in Front of the Wingtip

Static hydroelastic study of composite T-foils with beam and lifting line models

Blended Wing Body Configuration for Hydrogen-Powered Aviation

Sensitivity-Based Geometric Parametrization and Automatic Scaling for Aerodynamic Shape Optimization

Control Co-Design of Hydrokinetic Turbines Considering Dynamic–Hydrodynamic Coupling

High-Fidelity Gradient-Based Wing Structural Optimization Including Geometrically Nonlinear Flutter Constraint

High-Fidelity Aerostructural Optimization with a Geometrically Nonlinear Flutter Constraint

Efficient Data-Driven Off-Design Constraint Modeling for Practical Aerodynamic Shape Optimization

Minimum lap time trajectory optimisation of performance vehicles with four-wheel drive and active aerodynamic control

Hydrogen-powered aircraft: Fundamental concepts, key technologies, and environmental impacts

Fleet Design Optimization of Package Delivery Unmanned Aerial Vehicles Considering Operations

Efficient Aerostructural Wing Optimization Considering Mission Analysis

Adjoint-based limit cycle oscillation instability sensitivity and suppression

Eigenvalue problem derivatives computation for a complex matrix using the adjoint method

Optimizing steady and dynamic hydroelastic performance of composite foils with low-order models

Collaborators (15)

Alasdair Christison Gray

Kevin Maki

Maxwell Woody

Mengqi Zhang

Matthew Collette

Anil Yildirim

Gregory A. Keoleian

Sicheng He

Alex Arkady Gorodetsky

Krzysztof Fidkowski

Yin Lu Young

Carlos Cesnik

Andrew Ning

Cristina Riso

Yulin Pan

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