• Research

    Microstructures
    Multiscale Structure Design
    Multidisciplinary Design and Optimization
    Reduced Order Modeling
    Uncertainty Quantification

    Multi-scale modeling and optimization of structure-process-property relationships in Ti-Al and Fe-Ga alloys.
    The first aspect of this work focuses on multi-scale crystal plasticity modeling and identifi cation of slip system properties of Ti-Al alloys. The second part concentrates on design optimization of Fe-Ga alloys under provided process and property goals (Support: NSF, AFOSR, DOE and ONR).

    Spatio-temporal reconstruction of 2D and 3D microstructure evolutions using Markov Random Field approach
    The goal of this project is to generate a Markov Random Field based microstructure reconstruction framework to model spatial and temporal evolution of polycrystalline 2D and 3D microstructures. The method is capable of reconstructing larger regions of microstructure needed for engineering analysis by using small-scale experimental data (Support: AFOSR).

    Uncertainty Quanti cation of Microstructural Properties
    This work aims to develop an analytical model for uncertainty quantifi cation of microstructural properties and their propagation in macro engineering quantities. The main goal is to build a theoretical foundation in uncertainty analysis to provide a veri fication model to available numerical algorithms (Support: AFOSR, ONR).

    Reduced order modeling for optimization of microstructures under process-design-property constraints
    The objective is to identify the optimal design-process-property route for microstructures by implementation of a reduced order modeling strategy, representing the evolution of the microstructures in different deformation processes, to the multi-scale design optimization approach (Support: AFOSR).

    Probabilistic modeling of microstructural property descriptors and property closures
    The goal is to model polycyrstalline microstructures using lower order probabilistic descriptors rather than using traditional and costly nite element procedures. The second step is to identify the property closures of the microstructures using the same probabilistic approach (Support: ONR).

    Optimization of curvilinear and spatially varying ber paths in composite structures
    This work focuses on fi ber path optimization of composite plates with cutouts under pre-defi ned elastic buckling constraints (in collaboration with Boeing).

  • Publications


    Please click here for a full list of publications from Google Scholar
    Please click here for a full list of publications from Researchgate

  • Professional History


    2017–Present, University of Michigan, Department of Aerospace Engineering, Research Fellow
    2014–2017, University of Michigan, Multi-Scale Structural Simulations Laboratory, Graduate Research Assistant
  • Awards and Honors


    2016 – Amelia Earhart Fellowship, Zonta International Foundation
    2012 – Honor student, Istanbul Technical University, ranked 1st in M.Sc. in Aerospace Engineering
    2012 – Ph.D. Scholarship from the Scientific and Technological Research Council of Turkey

    2010 – Honor student, Istanbul Technical University, ranked 2nd in B.Sc. Astronautical Engineering
    2010 – M.Sc. Scholarship from the Scientific and Technological Research Council of Turkey

Education

Ph.D., Aerospace Engineering, University of Michigan, 2017
M.Sc., Aerospace Engineering, Istanbul Technical University, Turkey, 2012
B.Sc., Astronautical Engineering, Istanbul Technical University, Turkey, 2010

(540) 231-xxxx
Office to be determined upon arrival
Blacksburg, VA 24061
pacar@vt.edu

Pinar Acar

Assistant Professor

(Due to arrive in 2018)