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Peter Lyu | Solutions Architect at Rescale | Cloud HPC for Engineers and Scientists

Peter Lyu is a Solutions Architect at Rescale. Peter received his bachelors, masters and Ph.D. degrees from the University of Michigan in Aerospace Engineering, where he worked on several NASA and Boeing projects on aircraft design and multidisciplinary design optimization (MDO) of a blended-wing-body aircraft.

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Peter Lyu | Solutions Architect at Rescale | Cloud HPC for Engineers and Scientists | peterlyu.com Reviews

https://peterlyu.com

Peter Lyu is a Solutions Architect at Rescale. Peter received his bachelors, masters and Ph.D. degrees from the University of Michigan in Aerospace Engineering, where he worked on several NASA and Boeing projects on aircraft design and multidisciplinary design optimization (MDO) of a blended-wing-body aircraft.

INTERNAL PAGES

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Peter Zhoujie Lyu

http://www.peterlyu.com/skype:lvzhoujie?call

Press Enter to Search. Hi, I am Peter. I design efficient aerodynamics for airplanes. Aircraft Design, Computational Fluid Dynamics, Optimization, Supercomputing. Optimize a random wing. Optimize a random wing. Aircraft Design, Computational Fluid Dynamics, Optimization, Supercomputing. Aerodynamic optimization of airplane. Aerodynamic optimization of airplane. Aircraft Design, Computational Fluid Dynamics, Optimization, Supercomputing. Other Stuff, Supercomputing. RANS Adjoint for CFD solver.

2

Optimize a random wing – Peter Zhoujie Lyu

http://www.peterlyu.com/portfolio/optimize-a-random-wing

Press Enter to Search. Hi, I am Peter. I design efficient aerodynamics for airplanes. Optimize a random wing. In this study, I started the optimization with a randomly generated wing to see the effectiveness of the optimization. The initial wing is shown below. Aircraft Design, Computational Fluid Dynamics, Optimization, Supercomputing. Optimize a random wing. Optimize a random wing. Aircraft Design, Computational Fluid Dynamics, Optimization, Supercomputing. Aerodynamic optimization of airplane.

3

About – Peter Zhoujie Lyu

http://www.peterlyu.com/about

Press Enter to Search. 8220;If passion drives you, let reason hold the reins.” – Benjamin Franklin. I developed aerodynamic optimization methods and algorithms that enable us to improve the aerodynamic performance of current airplanes and to explore the future generation airplanes. I enjoy every aspect of computational fluid dynamics, especially enjoying ‘seeing’ something you cannot see in real life, from a gentle breeze swaying the trees to transonic airflow over airplane wings.

4

Aerodynamic optimization of airplane – Peter Zhoujie Lyu

http://www.peterlyu.com/portfolio/aerodynamic-optimization-of-a-777-sized-airplane

Press Enter to Search. Hi, I am Peter. I design efficient aerodynamics for airplanes. Aerodynamic optimization of airplane. Aircraft Design, Computational Fluid Dynamics, Optimization, Supercomputing. Optimize a random wing. Optimize a random wing. Aircraft Design, Computational Fluid Dynamics, Optimization, Supercomputing. Aerodynamic optimization of airplane. Aerodynamic optimization of airplane. Aircraft Design, Computational Fluid Dynamics, Optimization, Supercomputing. Other Stuff, Supercomputing.

5

High performance clusters – Peter Zhoujie Lyu

http://www.peterlyu.com/portfolio/high-performance-clusters

Press Enter to Search. Hi, I am Peter. I design efficient aerodynamics for airplanes. I have developed massive parallel codes that runs on high performance clusters. Here is a list of clusters that I have worked with:. Stampede – Texas Advanced Computing Center. Gordon – San Diago Supercomputing Center. Flux – University of Michigan. SciNet – University of Toronto. Photo credit: Stampede – TACC. Aircraft Design, Computational Fluid Dynamics, Optimization, Supercomputing. Optimize a random wing.

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mdolab.engin.umich.edu mdolab.engin.umich.edu

The Complex-Step Derivative Approximation | Multidisciplinary Design Optimization Laboratory

http://mdolab.engin.umich.edu/content/complex-step-derivative-approximation-0

Skip to main content. Multidisciplinary Design Optimization Laboratory. The Complex-Step Derivative Approximation. The Complex-Step Derivative Approximation. ACM Transactions on Mathematical Software.

mdolab.engin.umich.edu mdolab.engin.umich.edu

User account | Multidisciplinary Design Optimization Laboratory

http://mdolab.engin.umich.edu/user/password

Skip to main content. Multidisciplinary Design Optimization Laboratory. Request new password (active tab). Username or e-mail address *.

mdolab.engin.umich.edu mdolab.engin.umich.edu

Teaching | Multidisciplinary Design Optimization Laboratory

http://mdolab.engin.umich.edu/teaching

Skip to main content. Multidisciplinary Design Optimization Laboratory. AEROSP 588. MDO (Winter Semester). Prerequisite: permission of instructor. (3 credits). This course is an introduction to numerical optimization methods and their application to engineering design. Topics include: gradient-based methods (descent, quasi-Newton), computation of gradients for optimization (finite-difference, complex-step, adjoint methods), gradient-free methods (non-linear simplex, genetic algorithms), approximation...

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MDO Lab Group Photos | Multidisciplinary Design Optimization Laboratory

http://mdolab.engin.umich.edu/content/mdo-lab-group-photos

Skip to main content. Multidisciplinary Design Optimization Laboratory. MDO Lab Group Photos. March 2015 at the MDO Lab Workshop, University of Michigan. August 2014 at the DTW Delta Hangar. April 2013 at the DTW Delta Hangar. March 2013 at the MDO Lab Workshop, University of Michigan. May 2012 at the. MDO Lab Workshop,. April 2012 at the University of Toronto. December 2008 at the University of Toronto. September 2008 at the AIAA MAO Conference in Victoria, BC. October 2007 at the University of Toronto.

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Wiki | Multidisciplinary Design Optimization Laboratory

http://mdolab.engin.umich.edu/wiki

Skip to main content. Multidisciplinary Design Optimization Laboratory.

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Multi-point, multi-mission, high-fidelity aerostructural optimization of a long-range aircraft configuration | Multidisciplinary Design Optimization Laboratory

http://mdolab.engin.umich.edu/content/multi-point-multi-mission-high-fidelity-aerostructural-optimization-long-range-aircraft

Skip to main content. Multidisciplinary Design Optimization Laboratory. Multi-point, multi-mission, high-fidelity aerostructural optimization of a long-range aircraft configuration. Multi-point, multi-mission, high-fidelity aerostructural optimization of a long-range aircraft configuration. 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. This conference paper has been superseded by a journal paper version, which is available here. AIAA Journal. 2015 ;53(1).

mdolab.engin.umich.edu mdolab.engin.umich.edu

Scalable parallel approach for high-fidelity steady-state aeroelastic analysis and adjoint derivative computations | Multidisciplinary Design Optimization Laboratory

http://mdolab.engin.umich.edu/content/scalable-parallel-approach-aeroelastic-analysis-and-derivative

Skip to main content. Multidisciplinary Design Optimization Laboratory. Scalable parallel approach for high-fidelity steady-state aeroelastic analysis and adjoint derivative computations. Scalable parallel approach for high-fidelity steady-state aeroelastic analysis and adjoint derivative computations.

mdolab.engin.umich.edu mdolab.engin.umich.edu

XDSM Overview | Multidisciplinary Design Optimization Laboratory

http://mdolab.engin.umich.edu/node/1053

Skip to main content. Multidisciplinary Design Optimization Laboratory. The full details of how to construct and interpret XDSMs are the subect of the paper cited in the footnote. 1. NEW, June 2014: David Chen, a student at Beihang University, has done some additional development work on the XDSM files. You can see his work on his Github. Extensions to the Design Structure Matrix for the Description of Multidisciplinary Design, Analysis, and Optimization Processes. XDSM how to.txt.

mdolab.engin.umich.edu mdolab.engin.umich.edu

Publications | Multidisciplinary Design Optimization Laboratory

http://mdolab.engin.umich.edu/publications

Skip to main content. Multidisciplinary Design Optimization Laboratory. Multimission Aircraft Fuel Burn Minimization via Multipoint Aerostructural Optimization. AIAA Journal. 2015 ;53(1). Wing Design via Numerical Optimization. SIAG/OPT Views-and-News. 2015 ;23:2- 7. Martins2015-SIAG-OPT-ViewsAndNews-23-1-Wing design via numerical optimization.pdf. Surrogate Models and Mixtures of Experts in Aerodynamic Performance Prediction for Mission Analysis. Aerospace Science and Technology. 2015 ;43:126-151. Large...

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