Juan Alonso

About

Juan Alonso is the Vance D. and Arlene C. Coffman Professor and the James and Anna Marie Spilker Chair of the Department of Aeronautics and Astronautics at Stanford University. His research focuses on autonomous systems, controls, and aerospace design, contributing to advancements in these fields through his leadership and scholarly work. As a faculty member, he is involved in teaching and mentoring students, and his expertise supports the department's mission to innovate in aeronautics and astronautics.

Research topics

• Computer Science
• Engineering
• Aerospace engineering
• Physics
• Automotive engineering
• Simulation
• Mathematics
• Mechanics
• Reliability engineering
• Marine engineering

Selected publications

• Lithium–Ion Battery Modeling for Aerospace Applications

  Journal of Aircraft · 2021 · 49 citations

  Senior authorCorresponding

  In this paper, we develop a semiempirical model for predicting degradation in lithium–ion batteries and use it to assess the performance of an all-electric general aviation aircraft over its operational lifetime. The model comprises three parts: a cycle discharge model, a heat transfer model, and a cell-aging model. The discharge model captures the steady-state and transient behaviors of the cell. The heat transfer model enables accurate prediction of the cell temperature within the modules of t…

  PublisherDOI

• SU2-NEMO: An Open-Source Framework for High-Mach Nonequilibrium Multi-Species Flows

  Aerospace · 2021 · 41 citations

  SU2-NEMO, a recent extension of the open-source SU2 multiphysics suite’s set of physical models and code architecture, is presented with the aim of introducing its enhanced capabilities in addressing high-enthalpy and high-Mach number flows. This paper discusses the thermal nonequilibrium and finite-rate chemistry models adopted, including a link to the Mutation++ physio-chemical library. Further, the paper discusses how the software architecture has been designed to ensure modularity, incorpora…

  DOI

• A universal velocity profile for turbulent wall flows including adverse pressure gradient boundary layers

  Journal of Fluid Mechanics · 2021 · 40 citations

  Senior authorCorresponding

  A recently developed mixing length model of the turbulent shear stress in pipe flow is used to solve the streamwise momentum equation for fully developed channel flow. The solution for the velocity profile takes the form of an integral that is uniformly valid from the wall to the channel centreline at all Reynolds numbers from zero to infinity. The universal velocity profile accurately approximates channel flow direct numerical simulation (DNS) data taken from several sources. The universal velo…

  DOI

• Design exploration and optimization under uncertainty

  Physics of Fluids · 2020 · 31 citations

  Computational strategies that explicitly quantify uncertainties are becoming increasingly used in aerospace applications to improve the consistency in reliability, robustness, and performance of designs. A major source of uncertainty in simulations is due to the structural assumptions invoked in the formulation of turbulence models. Accounting for the turbulence model-form uncertainty has been described as “the greatest challenge” in simulation-based engineering design. Despite its importance, d…

  DOI

• Forecasting the Operational Lifetime of Battery-Powered Electric Aircraft

  Journal of Aircraft · 2022 · 22 citations

  Senior authorCorresponding

  In recent years, advancements in high-energy and -power density batteries have become central to developing viable aircraft for urban air mobility. In this paper, we introduce the time-dependent aircraft performance over operational lifetime diagram, which is a means of integrating battery lifetime modeling into the assessment of all-electric aircraft meant to service commuter routes: both within polycentric metropolitan regions and between residential and commercial spaces. Four aircraft repres…

  PublisherDOI

Recent grants

• CyberSEES: Type 1: Collaborative Research: Large-Scale, Integrated, and Robust Wind Farm Optimization Enabled by Coupled Analytic Gradients

  NSF · $200k · 2015–2017

Frequent coauthors

• Thomas D. Economon

  61 shared

• Francisco Palacios

  Universitat Politècnica de Catalunya

  45 shared

• Antony Jameson

  38 shared

• A. Jameson

  Texas A&M University

  24 shared

• Edwin van der Weide

  24 shared

• Brendan Tracey

  17 shared

• Andrés Santiago Padrón

  Stanford University

  16 shared

• Seongim Choi

  Gwangju Institute of Science and Technology

  16 shared

Education

• Ph.D., Aeronautics and Astronautics

  Stanford University

  1994

• M.S., Aeronautics and Astronautics

  Stanford University

  1989

• B.S., Aeronautical Engineering

  University of California, San Diego

  1986

Awards & honors

• AIAA: Excellence in Teaching Award
• AIAA: Outstanding Course Assistant
• William F. Ballhaus Prize
• Cannon Summer Fellowship
• Hoff Outstanding Master’s Student

Similar researchers at Stanford University

• Charbel Farhath-89
• Marco Pavoneh-67
• Mac Schwagerh-60