Updated on 2021/06/22

写真a

 
HOSHIBA Hiroya
 
Organization
Graduate School of Engineering Civil and Environmental Engineering 1 Assistant Professor
Graduate School
Graduate School of Engineering
Undergraduate School
School of Engineering Architecture
Title
Assistant Professor
Contact information
メールアドレス
External link

Degree 1

  1. Doctor of Philosophy (Engineering) ( 2019.3   Tohoku University ) 

Research Interests 2

  1. Nonlinear analysis

  2. Topology optimization

Research Areas 2

  1. Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Structure engineering and earthquake engineering

  2. Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Structure engineering and earthquake engineering  / トポロジー最適設計

Current Research Project and SDGs 1

  1. ゴム・樹脂・金属等の挙動を考慮した非線型トポロジー最適化

 

Papers 3

  1. Topology Optimization of Viscoelastic Materials for Energy Dissipation Control

    Hiroya Hoshiba, Hironari Takahashi and Junji Kato

    Proceedings of the Conference on Computational Engineering and Science   Vol. Vol. 25   2020.6

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    Authorship:Lead author, Corresponding author   Language:Japanese   Publishing type:Research paper (other academic)  

  2. STRESS-CONSTRAINED TOPOLOGY OPTIMIZATION OF INFILL STRUCTURE Reviewed

    KAMADA Hiroki, HOSHIBA Hiroya, KATO Junji, KYOYA Takashi

    Journal of Japan Society of Civil Engineers, Ser. A2 (Applied Mechanics (AM))   Vol. 75 ( 1 ) page: 68-85   2019

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    <p> Recent development of Additive Manufacturing technology made it possible to manufacture the complex-shaped porous structures: this leads to further development and research for porous structures with special functions and characteristics. In particular, the so-called infill structure is paid attention for its high strength and robustness, and also the optimal design methods for infill structures have been reported. However, few studies has examined to extend to the practical design with stress constraint. With this reason, the present study addresses a topology optimization method for infill structures to avoid stress concentration by adding the local volume constraint and p-norm type stress constraint concept. In addition, we propose a new method, namely variable influence radius, to solve a specific problem which arises in infill optimization. Finally we discuss the setting of optimization problem and demonstrate the accuracy and performance of the proposed method by a series of numerical examples.</p>

    DOI: 10.2208/jscejam.75.68

    CiNii Article

  3. Multi-scale topology optimization considering elastoplastic composite material

    Hoshiba Hiroya, OGAWA Shun, KATO Junji, KYOYA Takashi

    Transactions of the Japan Society for Computational Engineering and Science   Vol. 2018 ( 0 ) page: 20180015-20180015   2018

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (scientific journal)  

    <p>The present study proposes topology optimization of microstructure considering elastoplastic deformation based on a decoupling multi-scale analysis. Energy absorption capacity of macrostructure is maximized under a prescribed material volume of microstructure. It is assumed that microstructure consists of a two-phase material based on elastoplastic von Mises model and that macrostructure is modeled with anisotropic Hill's elastoplasticity. In this study, we extend the analytical sensitivity method used for mono-scale analysis to the decoupling multi-scale analysis and propose a framework of new multi-scale topology optimization, which can reduce the computational costs with keeping sensitivities highly accurate. It is verified by a series of numerical examples that the proposed method provides reliable optimization results and has a great potential for advanced material design.</p>

    DOI: 10.11421/jsces.2018.20180015

    CiNii Article

MISC 4

  1. Topology optimization considering geometrical nonlinearity under uncertain loading condition

    NISHINO Takayuki, HOSHIBA Hiroya, KATO Junji, KYOYA Takashi

    The Proceedings of The Computational Mechanics Conference   Vol. 2018 ( 0 )   2018

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    Language:Japanese  

    <p>The present paper proposes a topology optimization method considering finite deformation for loading uncertainty. The loading angle is assumed to be uncertain as a condition. The objective is to minimize mean and standard deviation of structural compliance. In case of finite deformation theory, an analytical estimation of the mean and the standard deviation is not allowed. In order to solve this problem, we approximate the objective function by a Taylor series expansion and derive the mathematical formulation. In this approach, the second derivative of the objective function is necessary to keep the accuracy in sensitivity. This phenomenon is investigated in terms of numerical validations. Finally, some numerical examples demonstrate the usefulness of the proposed method.</p>

    DOI: 10.1299/jsmecmd.2018.31.277

    CiNii Article

  2. Topology Optimization for Vibration Suppression

    ENDO Takuma, HOSHIBA Hiroya, KATO Junji, KYOYA Takashi

    The Proceedings of The Computational Mechanics Conference   Vol. 2018 ( 0 )   2018

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    Language:Japanese  

    <p>This study deals with the ideal topological design of vibrating structures. For static structures, well-known compliance minimization is defined as the inner product of the external force and static displacement. However, for dynamic structures with time-varying forces and displacements, defining a measure for dynamic stiffness are required. Therefore, various objective functions have been proposed to suppress the response of vibrating structures. In this study, these various objective functions are compared from the viewpoint of vibration suppression. The examples of numerical calculation when adopting mean strain energy and mean squared dynamic compliance as objective functions are presented.</p>

    DOI: 10.1299/jsmecmd.2018.31.291

    CiNii Article

  3. Verification of optimization scheme for infill structure considering elastoplastic deformation

    Kamada Hiroki, Hoshiba Hiroya, Kato Junji, Kyoya Takashi

    The Proceedings of OPTIS   Vol. 2018 ( 0 )   2018

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  4. Topology optimization for porous filling structure

    KAMADA Hiroki, HOSHIBA Hiroya, KATO Junji, KYOHYA Takashi

    The Proceedings of The Computational Mechanics Conference   Vol. 2018 ( 0 )   2018

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    Language:Japanese  

    <p>Infill structure - which consists of porous and solid phases over the structures, is getting a lot of attention due to its multi-functional performance, such as light weight, high-thermal convention and the potential redundancy. Nowadays, the manufacturing for this kind of geometrically complicated structure becomes possible by the recent development of Additive Manufacturing technology and furthermore topology optimization is often applied for the design to improve those structural performances. In infill topology optimization, too slender members often remain as a result of the severe density local constraints: this leads to undesirable local failure in the members even under small deformation. In this research, we propose a filtering method to avoid those thin members and local failure by introducing a variable length radius.</p>

    DOI: 10.1299/jsmecmd.2018.31.312

    CiNii Article

Presentations 6

  1. Topology Optimization for Controlling Dynamic Energy Loss of Rubber Structures International conference

    Hiroya Hoshiba, Daichi Azumi and Junji Kato

    The 7th Asian Conference on Mechanics of Functional Materials and Structures  2021.3.15  Tohoku University

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    Event date: 2021.3

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Sendai   Country:Japan  

  2. Conditional Explicit Formulation of Sensitivity Analysis for Nonlinear Topology Optimization International conference

    Hiroya Hoshiba and Junji Kato

    14th WCCM & ECCOMAS Congress 2020  2021.1.12  IACM, ECCOMAS

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    Event date: 2021.1

    Language:English   Presentation type:Oral presentation (general)  

    Venue:All-virtual   Country:Japan  

  3. Topology optimization considering nonlinear behavior of brittle damage material model International conference

    Hiroya Hoshiba and Junji Kato

    COMPSAFE2020  2020.12.10  JSCES, JACM

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    Event date: 2020.12

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Kobe   Country:Japan  

  4. Topology optimization method corresponding to elastoplastic FE analysis and its application examples Invited International conference

    H. Hoshiba

    KSME-JSME Joint Symposium on Computational Mechanics & CAE 2019 

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    Event date: 2019.9

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Kawagoe, Japan   Country:Japan  

  5. Multi-material optimization for future products by additive manufacturing to minimize dynamic structural response International conference

    T. Endo, H. Hoshiba, J. Kato

    Sim-AM2019 

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    Event date: 2019.9

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Pavia, Italy   Country:Italy  

  6. Multi-material Topology Optimization for Reduction of Dynamic Structural Response International conference

    T. Endo, J. Kato, H. Hoshiba

    USNCCM15 

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    Event date: 2019.7 - 2019.8

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Ausin, USA   Country:United States  

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KAKENHI (Grants-in-Aid for Scientific Research) 2

  1. ゴム・樹脂・金属を含む複合材料の耐衝撃・制振性能を制御するトポロジー最適設計

    Grant number:21K14229  2021.4 - 2024.3

    若手研究

    干場 大也

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    Authorship:Principal investigator 

    Grant amount:\4420000 ( Direct Cost: \3400000 、 Indirect Cost:\1020000 )

  2. Robust topology optimization of innovative porous structures by 3D-printer of continuous fiber reinforced plastics

    Grant number:19H00781  2019.4 - 2022.3

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    Authorship:Coinvestigator(s)  Grant type:Competitive

    Grant amount:\1000000

 

Teaching Experience (On-campus) 3

  1. 環境土木工学実習

    2019

  2. 構造材料実験II

    2019

  3. 構造材料実験I

    2019