• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Development of a Fast Approximate Solver for Robust Optimization Problems Including Various Uncertainties in Design Variables and Conditions

Research Project

Project/Area Number 15H03600
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Research Field Computational science
Research InstitutionTohoku University

Principal Investigator

Shimoyama Koji  東北大学, 流体科学研究所, 准教授 (80447185)

Co-Investigator(Kenkyū-buntansha) パラル プラムヂタサトリア  東北大学, 流体科学研究所, 学術研究員 (30792163)
Research Collaborator Kawai Soshi  
Project Period (FY) 2015-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥16,250,000 (Direct Cost: ¥12,500,000、Indirect Cost: ¥3,750,000)
Fiscal Year 2018: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2017: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2016: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2015: ¥7,150,000 (Direct Cost: ¥5,500,000、Indirect Cost: ¥1,650,000)
Keywords近似最適化 / 不確かさの定量的評価 / 最適設計 / 設計工学 / ロバスト設計 / 自己組織化マップ
Outline of Final Research Achievements

This study has developed numerical methods, which are fast and accurate to find robust optimization solutions whose objective functions are insensitive to various uncertainties in design variables and conditions. For this purpose, this study has proposed a method to reduce high-dimensional design space into a simplified space, a method to approximate various behaviors of the objective function as a non-stationary representation, and a method to adaptively update the approximated objective function with additional evaluations of the true objective function in proper cases. These methods have been applied to real-world design problems, which demonstrate superior effectiveness compared to conventional methods.

Academic Significance and Societal Importance of the Research Achievements

工学製品の形状や使用環境が変わったりしても,当初の製品性能をある程度維持できる,ものづくりのための手法を開発した.手元にある限られた評価データを有効活用して,ありとあらゆる不測の事態に対する性能の変化を正しく予測できるように,独自の数学モデルを考案した.これを航空機・宇宙機の設計問題に適用した結果,不測の事態における設計の安全性がしっかり担保されることを実証できた.以上より,本研究の成果は,安心・安全なものづくり社会の確立に貢献するものである.

Report

(5 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Annual Research Report
  • 2016 Annual Research Report
  • 2015 Annual Research Report
  • Research Products

    (33 results)

All 2019 2018 2017 2016 2015 Other

All Int'l Joint Research (4 results) Journal Article (8 results) (of which Int'l Joint Research: 4 results,  Peer Reviewed: 8 results,  Acknowledgement Compliant: 1 results) Presentation (21 results) (of which Int'l Joint Research: 14 results,  Invited: 2 results)

  • [Int'l Joint Research] Bandung Institute of Technology(インドネシア)

    • Related Report
      2018 Annual Research Report
  • [Int'l Joint Research] Bandung Institute of Technology(Indonesia)

    • Related Report
      2017 Annual Research Report
  • [Int'l Joint Research] Ecole Centrale de Lyon(France)

    • Related Report
      2016 Annual Research Report
  • [Int'l Joint Research] Ecole Centrale de Lyon(France)

    • Related Report
      2015 Annual Research Report
  • [Journal Article] Efficient Global Optimization with Ensemble and Selection of Kernel Functions For Engineering Design2019

    • Author(s)
      Pramudita Satria Palar and Koji Shimoyama
    • Journal Title

      Structural and Multidisciplinary Optimization

      Volume: 59 Issue: 1 Pages: 93-116

    • DOI

      10.1007/s00158-018-2053-9

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] A Kriging-Based Dynamic Adaptive Sampling Method for Uncertainty Quantification2019

    • Author(s)
      Koji Shimoyama and Soshi Kawai
    • Journal Title

      Transactions of the Japan Society for Aeronautical and Space Sciences

      Volume: 62 Pages: 137-150

    • NAID

      130007642384

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] On Efficient Global Optimization via Universal Kriging Surrogate Models2018

    • Author(s)
      Pramudita Satria Palar and Koji Shimoyama
    • Journal Title

      Structural and Multidisciplinary Optimization

      Volume: 57 Issue: 6 Pages: 2377-2397

    • DOI

      10.1007/s00158-017-1867-1

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] 応答曲面法と翼型空力設計への適用事例2018

    • Author(s)
      下山幸治
    • Journal Title

      日本航空宇宙学会誌

      Volume: 66 Pages: 325-330

    • NAID

      130007504943

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Global Sensitivity Analysis via Multi-Fidelity Polynomial Chaos Expansion2018

    • Author(s)
      Pramudita Satria Palar, Lavi Rizki Zuhal, Koji Shimoyama, and Takeshi Tsuchiya
    • Journal Title

      Reliability Engineering and System Safety

      Volume: 170 Pages: 175-190

    • DOI

      10.1016/j.ress.2017.10.013

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Study of Aerodynamic and Heat-Exhaust Characteristics for a High-Altitude Long-Endurance Unmanned-Aerial-Vehicle Airfoil2017

    • Author(s)
      Koji Shimoyama and Kazumasa Kamisori
    • Journal Title

      Journal of Aircraft

      Volume: 54 Issue: 4 Pages: 1317-1327

    • DOI

      10.2514/1.c033978

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Methodology for the Design of the Geometry of a Cavity and its Absorption Coefficients as Random Design Variables Under Vibroacoustic Criteria2016

    • Author(s)
      Renata Troian, Koji Shimoyama, Frederic Gillot, and Sebastien Besset
    • Journal Title

      Journal of Computational Acoustics

      Volume: 24 Issue: 02 Pages: 1650006-1650006

    • DOI

      10.1142/s0218396x16500065

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Uncertainty Quantification by the Nonintrusive Polynomial Chaos Expansion with an Adjustment Strategy2016

    • Author(s)
      Koji Shimoyama and Akihiro Inoue
    • Journal Title

      AIAA Journal

      Volume: 54 Issue: 10 Pages: 3107-3116

    • DOI

      10.2514/1.j054359

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Presentation] Stochastic Re-entry Trajectory Analysis with Uncertain Initial Conditions for Safety Assessment2019

    • Author(s)
      Akira Tokunaga, Akie Sotoguchi, Koji Shimoyama, and Keiichiro Fujimoto
    • Organizer
      2019 AIAA Science and Technology Forum and Exposition (AIAA SciTech 2019)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Kriging with Composite Kernel Learning for Surrogate Modeling in Computer Experiments2019

    • Author(s)
      Pramudita Satria Palar and Koji Shimoyama
    • Organizer
      2019 AIAA Science and Technology Forum and Exposition (AIAA SciTech 2019)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 複合カーネル学習を用いたKriging応答曲面法2019

    • Author(s)
      下山幸治,Palar Pramudita Satria
    • Organizer
      第2回航空機空力研究ワークショップ
    • Related Report
      2018 Annual Research Report
  • [Presentation] Ensemble of Kriging with Multiple Kernel Functions for Engineering Design Optimization2018

    • Author(s)
      Pramudita Satria Palar and Koji Shimoyama
    • Organizer
      8th International Conference on Bioinspired Optimization Methods and their Applications
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 初期条件の不確定性を考慮したアポロ型カプセルの再突入軌道解析2018

    • Author(s)
      徳永輝,外口秋絵,下山幸治,藤本圭一郎
    • Organizer
      第50回流体力学講演会/第36回航空宇宙数値シミュレーション技術シンポジウム
    • Related Report
      2018 Annual Research Report
  • [Presentation] Krigingモデルに基づく動的サンプリング法を用いた遷音速翼周りの不確かさ評価2018

    • Author(s)
      太田力,下山幸治,河合宗司
    • Organizer
      第50回流体力学講演会/第36回航空宇宙数値シミュレーション技術シンポジウム
    • Related Report
      2018 Annual Research Report
  • [Presentation] 空力問題における不確かさの定量的評価のための自己組織化マップの応用2018

    • Author(s)
      下山幸治,徳永輝,外口秋絵
    • Organizer
      日本流体力学会年会2018
    • Related Report
      2018 Annual Research Report
  • [Presentation] Uncertainty Quantification in Re-entry Trajectory Analysis for Safety Assessment2018

    • Author(s)
      Akira Tokunaga, Akie Sotoguchi, Koji Shimoyama, and Keiichiro Fujimoto
    • Organizer
      15th International Conference on Flow Dynamics
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] On The Accuracy of Kriging Model in Active Subspaces2018

    • Author(s)
      Pramudita Satria Palar and Koji Shimoyama
    • Organizer
      AIAA SciTech 2018
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A Study on the Aerodynamic Efficiency and Static Stability of a Tailless Aircraft2018

    • Author(s)
      Yoshifumi Kashiwagura and Koji Shimoyama
    • Organizer
      AIAA SciTech 2018
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Active Subspace法を併用したKriging近似最適化手法2018

    • Author(s)
      下山幸治,Palar Pramudita Satria
    • Organizer
      平成29年度航空宇宙空力シンポジウム
    • Related Report
      2017 Annual Research Report
  • [Presentation] 不確かさの定量的評価のための非線形次元縮約法2018

    • Author(s)
      外口秋絵,下山幸治
    • Organizer
      第1回航空機空力研究ワークショップ
    • Related Report
      2017 Annual Research Report
  • [Presentation] Surrogate Modeling for Numerical Simulation and Design2017

    • Author(s)
      Koji Shimoyama
    • Organizer
      Simulations Encounter with Data Science: Data Assimilation, Emulators, Rare Events and Design
    • Place of Presentation
      東京都立川市
    • Year and Date
      2017-03-09
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] On Multi-Objective Efficient Global Optimization via Universal Kriging Surrogate Model2017

    • Author(s)
      Pramudita Satria Palar and Koji Shimoyama
    • Organizer
      2017 IEEE Congress on Evolutionary Computation
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Multi-Fidelity Uncertainty Analysis in CFD Using Hierarchical Kriging2017

    • Author(s)
      Pramudita Satria Palar and Koji Shimoyama
    • Organizer
      35th AIAA Applied Aerodynamics Conference
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Exploiting Active Subspaces in Global Optimization: How Complex is your Problem?2017

    • Author(s)
      Pramudita Satria Palar and Koji Shimoyama
    • Organizer
      Genetic and Evolutionary Computation Conference (GECCO 2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Polynomial-Chaos-Kriging-Assisted Efficient Global Optimization2017

    • Author(s)
      Pramudita Satria Palar and Koji Shimoyama
    • Organizer
      2017 IEEE Symposium Series on Computational Intelligence
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Exploiting Gradient for Kriging-based Multi-Objective Aerodynamic Optimization2017

    • Author(s)
      Pramudita Satria Palar and Koji Shimoyama
    • Organizer
      2017 IEEE Symposium Series on Computational Intelligence
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 流体機械の最適設計と不確かさの定量的評価2016

    • Author(s)
      下山幸治
    • Organizer
      STEシミュレーション研究会 -太陽地球惑星系探査とシミュレーション研究-
    • Place of Presentation
      宮城県仙台市
    • Year and Date
      2016-08-31
    • Related Report
      2016 Annual Research Report
    • Invited
  • [Presentation] Uncertainty Quantification by the Polynomial Chaos Expansion Method with Order Adjustment2016

    • Author(s)
      Koji Shimoyama
    • Organizer
      7th European Congress on Computational Methods in Applied Sciences and Engineering
    • Place of Presentation
      Crete, Greece
    • Year and Date
      2016-06-05
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Uncertainty Quantification Approach Based on a Non-Stationary Kriging Surrogate Model2015

    • Author(s)
      Koji Shimoyama and Soshi Kawai
    • Organizer
      2nd Frontiers in Computational Physics Conference: Energy Sciences
    • Place of Presentation
      Zurich, Switzerland
    • Year and Date
      2015-06-03
    • Related Report
      2015 Annual Research Report
    • Int'l Joint Research

URL: 

Published: 2015-04-16   Modified: 2020-03-30  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi