John F. Dannenhoffer III

Associate Professor

245 Link Hall

jfdannen@syr.edu

315.443.3340

Degree(s):

  • Sc.D., Computational Fluid Dynamics, Massachusetts Institute of Technology, 1987;
  • M.E., Aerospace Engineering, Rensselaer Polytechnic Institute, 1978;
  • B.S., Aerospace Engineering, Rensselaer Polytechnic Institute, 1976

Lab/Center Affiliation(s):

  • Aerospace Computational Methods Lab (ACML)

Areas of Expertise:

  • Multi-disciplinary Analysis and Optimization (MDAO)
  • Computational Geometry (CG)
  • Computational Fluid Dynamics (CFD)
  • Aerospace vehicle analysis and design

Dr. John Dannenhoffer is the principal author of the Engineering Sketch Pad (ESP), which is a computer-based system for the optimal design and analysis of complex configurations, such as aerospace vehicles.  ESP is a feature-based solid modeler that generates the fully-associative models needed for multi-fidelity and multi-disciplinary design and analysis.  A key feature of the ESP are that it is the first CAD-like system that directly provides the sensitivities needed for gradient-based optimization.  The ESP, which is available as an open-source projects, is in routine use by over a thousand users, in dozens of organizations.

Honors and Awards:

  • Syracuse University ECS Dean’s Award for Excellence in Engineering Education “in recognition of his creative use of active and engaging techniques in the classroom, development of teaching tools, and his unwavering commitment to the undergraduate program in Aerospace Engineering.” April 2016.
  • AIAA Shahyar Pirzadeh Memorial Award for Outstanding Paper in Meshing Visualization and Computational Environments for “Design Sensitivity Calculations Directly on CADBased Geometry”, 2015.
  • AIAA Shahyar Pirzadeh Memorial Award for Outstanding Paper in Meshing Visualization and Computational Environments for “Conservative Fitting for Multi-Disciplinary Analysis”, 2014.

Selected Publications:

  • Mokotoff, P.R., and Dannenhoffer, J.F., “GLOVES: A Graphical Layout of Vehicle Systems for the Engineering Sketch Pad”, AIAA-2022-3493, presented at the AIAA Aviation Meeting, June, 2022.
  • Dannenhoffer, J.F., “Parallelization Strategies for Efficiently Computing CFD-based Sensitivities for Design Optimization”, AIAA-2022-0971, presented at the 2022 AIAA SciTech Forum, January 2022.
  • Dannenhoffer, J.F., and Bhagat, N., “Towards Modeling for Design: Using Real-time Collaborative Environment in CAPS”, AIAA-2022-2248, presented at the 2022 AIAA SciTech Forum, January 2022.
  • Bryson, D.E., Haimes, R., and Dannenhoffer, J.F., “Toward the Realization of a Highly Integrated, Multidisciplinary, Multifidelity Design Environment”, AIAA-2019-2225, presented at AIAA SciTech 2019, January 2019.
  • Blum, M.M., and Dannenhoffer, J.F., “Integrated use of programming in Machine Design Course”, presented at the 124th ASEE Annual Conference & Exposition, June 2017.
  • Dannenhoffer, J.F., “The Creation of a Static BRep Model Given a Cloud of Points”, AIAA-2017-0138, presented at the AIAA SciTech 2017, January 2017.
  • Dannenhoffer, J.F., and Haimes, R., “Using Design-Parameter Sensitivities in Adjoint-Based Design Environments”, AIAA-2017-0139, presented at the AIAA SciTech 2017, January 2017.
  • Dannenhoffer, J.F, and Green, M.A., “Use of a Full-motion Flight Simulator for Teaching Aircraft Performance and Dynamics”, AIAA-2017-0299, presented at the AIAA SciTech 2017, January 2017.
  • Alyanak, E., Durscher, R., Haimes, R., Dannenhoffer, J.F., Bhagat, N, and Allison, D., “Multi-fidelity Geometry-centric Multi-disciplinary Analysis for Design”, AIAA-2016-4007, presented at AIAA Aviation 2016, June 2016.
  • Dannenhoffer, J.F., and Haimes, R., “Design Sensitivity Calculations Directly on CAD-based Geometry”, AIAA-2015-1370, presented at AIAA SciTech 2015, January 2015.
  • Dannenhoffer, J.F., and Haimes, R., “Conservative Fitting for Multi-Disciplinary Analysis”, AIAA-2014-0294, presented at AIAA SciTech 2014, January 2014.
  • Haimes, R., and Dannenhoffer, J.F., “The Engineering Sketch Pad: A Solid-Modeling, Feature-Based, Web-Enabled System for Building Parametric Geometry”, AIAA-2013-3073, presented at the 21st AIAA Computational Fluid Dynamic Conference, June 2013.

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