Shu Shang Mechanical Engineer

**** ******** ****, *********, ** 44106 • 352-***-**** • ac0dmj@r.postjobfree.com LinkedIn URL: www.linkedin.com/in/shushang1990

Highly knowledgeable mechanical engineer with rich experience in both linear and non-linear FEA and hands-on skills in Mechanical Design, 2D and 3D Modeling.

Solid background in Stress Analysis, Composites, Failure Analysis, Structural Optimization and Statistics. Self-motivated and goal-oriented professional; excellent written and verbal communication skills.

Finite Element Analysis Composite Materials Surrogate Modeling

Uncertainty Analysis Engineering Statistics Design Optimization

Reliability Analysis Validation Metric Design of Experiment COMPUTER SKILLS

ABAQUS

• Standard, static analysis and Explicit, dynamic analysis

• Input file and Python script for parametric study and design optimization

• Python script for pre-processing: defining node to node equation constraints, etc.

• Python script for post-processing: accessing output database, etc.

• User-defined material subroutine of woven composites with progressive failure in Fortran MATLAB

• Running Abaqus from MATLAB for parametric study and design optimization

• Local and global optimization algorithm

• Design of experiment

• Surrogate toolbox

LSDYNA

• User-defined material subroutine of composites in Fortran HyperMesh

• Preprocessing and meshing

SolidWorks, Python, Fortran, AutoCAD, Microsoft Office WORK EXPERIENCE

Structural and Multidisciplinary Optimization Group, University of Florida • Research Assistant • 08/2013-12/2016 Advisor: Dr. Namho Kim Coadvisor: Dr. Bhavani V. Sankar Research Projects:

Integration of multiscale modeling of composites under high strain rate impact with surrogate: Developed a multiscale modeling framework for simulating fracture failure behavior of composites in high strain rate applications. Surrogate models are used as constitutive relations to bridge different scales in order to make the multiscale modeling computationally efficient and allow for more flexibility. Uncertainty quantification and reduction of composites in a multiscale framework: Developed a multiscale framework of uncertainty quantification of composites. Uncertainty in upper scale is propagated from uncertainty in lower scale. Simulation and test results are combined using Bayesian approach to reduce sampling uncertainty and epistemic uncertainty. Even with a very limited number of expensive tests in upper scale, reasonable uncertainty estimation can still be achieved. This work can be further developed and used to guide decision-making of allocating limited resources among tests in different scale. Department of Mechanical and Aerospace Engineering, University of Florida • Teaching Assistant • 08/2013-12/2016 Finite Element Analysis

Tutoring graduate and undergraduate students 3 hours a week, grading assignments, projects and exams. Teaching students how to use Abaqus and giving lectures of Abaqus tutorials once a week. Helping students understand FEA as a part of product lifecycle management and use FEA to predict product performance and improve designs by reducing material usage.

Structural Optimization

Tutoring graduate students 3 hours a week, grading assignments, projects. Helping students understand how to use effectively optimization tools for the design of structures. Aerospace Structures

Tutoring undergraduate students 3 hours a week, grading assignments and exams. Helping students understand analysis of thin-walled beams, unsymmetrical bending of wing sections, torsion of skin-stringer, etc. Approximation and Optimization in Engineering

Tutoring graduate students 3 hours a week, grading assignments, projects. Helping students understand the use of approximation based optimization for design based on analytical models and experiments. Verification, Validation and Uncertainty Quantification Tutoring graduate students 3 hours a week, grading assignments, projects. Helping students understand uncertainty quantification and reduction and its use for reliability based design, verification and validation. PUBLICATIONS

• S. Shang, N. H. Kim, M. Lee, Integration of Multi-Scale Modeling of Composites Under High Strain Rate Impact with Surrogate, Proceedings of the American Society for Composites 2014-Twenty-ninth Technical Conference on Composite Materials, San Diego, CA, 2014

• S. Shang, M. Y. Lee, N. H. Kim, Surrogate-based multi-scale modeling of composite laminates under high strain rate loading (In Preparation)

• S. Shang, B. V. Sankar, N. H. Kim, Uncertainty Quantification and Reduction in Multiscale Modeling of Composites using Bayesian inference (In Preparation)

EDUCATION

Doctor of Philosophy in Mechanical Engineering August 2013 – December 2016 University of Florida, Gainesville, FL

Advisor: Dr. Namho Kim; Coadvisor: Dr. Bhavani V. Sankar GPA 4/4

Master of Science in Mechanical Engineering August 2011 – May 2013 University of Florida, Gainesville, FL

Advisor: Dr. Namho Kim

GPA 3.71/4

Bachelor of Science in Mechanical Engineering September 2007 – July 2011 Huazhong University of Science and Technology, Wuhan, China