Updated on 2023/05/24

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 13

  1. Multi-material topology optimization considering strengths of solid materials and interface

    WATANABE Daiki, HOSHIBA Hiroya, NISHIGUCHI Koji, KATO Junji

    Transactions of the Japan Society for Computational Engineering and Science   Vol. 2023 ( 0 ) page: 20230001 - 20230001   2023.2

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    Language:Japanese   Publisher:JAPAN SOCIETY FOR COMPUTATIONAL ENGINEERING AND SCIENCE  

    <p>The present study proposes a multi-material topology optimization method considering the strengths both of solid materials and interface. In order to consider multiple factors of Young’s modulus and strength at the same time, the DMO material interpolation function that the coefficients are given equivalently is applied. To resolve the singularity problem, we propose the stress definition adapted to the DMO material interpolation function. Furthermore, the graded interface with a two-step density filter is introduced to represent the interface on a density-based method. The tension/compression asymmetric interfacial strength criteria makes it possible to obtain an optimal layout in which the interface is not subjected to tensile strain. The validity of the method proposed in this study is verified with three structural models.</p>

    DOI: 10.11421/jsces.2023.20230001

    CiNii Research

  2. HIGH-RESOLUTION MULTI-SCALE TOPOLOGY OPTIMIZATION USING FFT-BASED HOMOGENIZATION

    MATSUI Masayoshi, HOSHIBA Hiroya, OGURA Hiroki, KATO Junji

    Japanese Journal of JSCE   Vol. 79 ( 15 ) page: n/a   2023

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    Language:Japanese   Publisher:Japan Society of Civil Engineers  

    <p>Thanks to the development of additive manufacturing technology, it is becoming possible to produce materials with desired mechanical properties defined by their periodic microstructures. To design optimal microstructures, multi-scale topology optimization has been paid attention to in many engineering fields. However, its high computational cost prevents practical use, such as high-resolution 3D analysis for precision modeling and non-linear analysis assuming actual materials. In this study, to solve this problem, we focus on the homogenization approach using fast Fourier transform and develop a new optimization method with fast computing speed and low memory requirement. By performing stiffness maximization analyses with linear elastic materials, we demonstrate the validity and efficiency of the proposed method.</p>

    DOI: 10.2208/jscejj.22-15026

    CiNii Research

  3. AN EXTENDED SIMP MODEL AND SENSITIVITY FORMULATION FOR TOPOLOGY OPTIMIZATION OF BRITTLE-DUCTILE COMPOSITE STRUCTURES

    FUJIWARA Mutsuki, HOSHIBA Hiroya, NISHIGUCHI Koji, KATO Junji

    Japanese Journal of JSCE   Vol. 79 ( 15 ) page: n/a   2023

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    Language:Japanese   Publisher:Japan Society of Civil Engineers  

    <p>A structure with high strength and toughness is an ideal structure for engineering. Some existing composite structures demonstrate these performances with the proper combination of ductile and brittle materials. In this study, we propose a topology optimization method to maximize the strength and toughness of such composite structures by assuming a two-phase structure consisting of a brittle damage material for strength and a von-Mises elastoplastic material for toughness. It uses a unique material representation method, which partially combines two material constitutive laws with different mathematical structures. In this paper, a series of formulations of the method are described, and some numerical results are presented.</p>

    DOI: 10.2208/jscejj.22-15028

    CiNii Research

  4. Multi-material topology optimization considering properties of solid materials and interface

    WATANABE Daiki, HOSHIBA Hiroya, NISHIGUCHI Koji, KATO Junji

    Transactions of the Japan Society for Computational Engineering and Science   Vol. 2022 ( 0 ) page: 20220017 - 20220017   2022.11

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    Language:Japanese   Publisher:JAPAN SOCIETY FOR COMPUTATIONAL ENGINEERING AND SCIENCE  

    <p>The present study proposes a multi-material topology optimization method considering the physical properties of solid materials and the interface. An extended two-step filtering technique is introduced to define material interface based on Helmholtz-type partial differential equations. Furthermore, the width of the interface region can be controlled based on this approach. To deal with the non-convexity of the problem caused by multi-material topology optimization, a material interpolation function in which the material volume fractions are mutually independent is used: this allows for the commutativity of constituent materials. The minimum mean compliance problem is considered in two different structural models. To solve this problem, sensitivities of the objective function and the constraint condition are derived. The usefulness of the proposed method is verified through several numerical examples.</p>

    DOI: 10.11421/jsces.2022.20220017

    CiNii Research

  5. Study on two-phase material topology optimization for transient heat conduction

    TAKAARA Keisuke, HOSHIBA Hiroya, NISHIGUCHI Koji, KATO Junji

    Transactions of the Japan Society for Computational Engineering and Science   Vol. 2022 ( 0 ) page: 20220007 - 20220007   2022.8

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    Language:Japanese   Publisher:JAPAN SOCIETY FOR COMPUTATIONAL ENGINEERING AND SCIENCE  

    <p>In the field of topology optimization for heat conduction problems, the steady-state thermal conditions are usually assumed because of its theoretical ease of handling. However, for design problems such as casting dies and heat-dissipating parts, where not only the spatial distribution of temperature but also its temporal transition is important, a topology optimization method considering unsteady-state conditions is required. With this background, the present study deals with an unsteady-state heat conduction problem with a special objective function, namely minimizing temperature at the targeted time and space. The optimization problem is solved using a gradient-based optimization scheme and its accuracy of sensitivities with respect to design variables is investigated. Finally, the performance of the proposed method and a common problem for unsteady-state thermal problems are discussed through a series of the numerical examples.</p>

    DOI: 10.11421/jsces.2022.20220007

    CiNii Research

  6. Two-scale topology optimization for transient heat analysis in porous material considering the size effect of microstructure

    Sukulthanasorn Naruethep, Hoshiba Hiroya, Nishiguchi Koji, Kurumatani Mao, Fleischhauer Robert, Ushijima Kuniharu, Kaliske Michael, Terada Kenjiro, Kato Junji

    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION   Vol. 65 ( 7 )   2022.7

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    Publisher:Structural and Multidisciplinary Optimization  

    This paper presents a two-scale topology optimization framework for determining the optimal microstructure in porous material under transient heat conduction and transfer. The new optimization model, which can consider the surface area directly from microstructure topology as the size-dependent term, is introduced to enhance the heat transfer performance. In more detail, a homogenization method capable of considering the size-dependent microscopic heat transfer effect is adopted to express the microscopic material responses. A well-known material interpolation, referred to as the SIMP approach, and the design-dependent linear function are used for interpolating intermediate material properties. The minimal transient heat compliance is chosen as an objective function in this optimization problem. For the sensitivity analysis, a coupled-adjoint variable method is adopted to derive transient sensitivity formulation. The analysis shows that the proposed topology optimization model captures not only the transient heat but also the size effect of the microstructure in a transient heat analysis in porous material.

    DOI: 10.1007/s00158-022-03257-2

    Web of Science

    Scopus

  7. Large-scale Unsteady Flow Topology Optimization Using Building-cube Method

    Katsumata Ryohei, Nishiguchi Koji, Shimada Tokimasa, Hoshiba Hiroya, Kato Junji

    NCTAM papers, National Congress of Theoretical and Applied Mechanics, Japan   Vol. 66 ( 0 ) page: 25   2022

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    Language:Japanese   Publisher:National Committee for IUTAM  

    <p>In recent years, topology optimization methods have been adopted not only for structural problems but also for fluid flow problems. Topology optimization for unsteady flows requires a fine mesh, especially for high Reynolds number flows, which is computationally expensive. Therefore, we propose an unsteady incompressible flow topology optimization method based on the building-cube method (BCM), which is suitable for massively parallel computing. The unsteady Navier-Stokes equations in the topology optimization procedure are solved by finite volume discretization, and the sensitivity of the objective function is obtained by continuous sensitivity analysis based on the adjoint variables method.</p>

    DOI: 10.11345/japannctam.66.0_25

    CiNii Research

  8. Topology optimization for unsteady state thermal fluid problems

    Takaara Keisuke, Hoshiba Hiroya, Takase Shinsuke, Nishiguchi Koji, Kato Junji

    NCTAM papers, National Congress of Theoretical and Applied Mechanics, Japan   Vol. 66 ( 0 ) page: 27   2022

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    Language:Japanese   Publisher:National Committee for IUTAM  

    <p>As regards thermal-fluid topology optimization research, only a few studies have considered the unsteady state thermal-fluid problem. In actual design problems, there are lots of cases in which temporal changes in temperature distribution are important rather than steady-state. In this study, the framework of a density-based topology optimization method for the unsteady thermal-fluid problem is proposed. The governing equations are unsteady-state incompressible Naiver-Stokes equation and thermal convection-diffusion equation, discretized with stabilized finite element method. The numerical analysis shows that the proposed framework captures the transient effect correctly and the results of optimization are physically reliable.</p>

    DOI: 10.11345/japannctam.66.0_27

    CiNii Research

  9. Coupled simulation of fluid and visco-hyperelastic solid with Eulerian finite volume method

    Nishiguchi Koji, Takeuchi Shusuke, Shimada Tokimasa, Katsumata Ryohei, Hoshiba Hiroya, Kato Junji

    NCTAM papers, National Congress of Theoretical and Applied Mechanics, Japan   Vol. 66 ( 0 ) page: 15   2022

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    Language:Japanese   Publisher:National Committee for IUTAM  

    <p>Unified Eulerian structure-fluid formulation is suitable for massively parallel simulation of complex-shaped material. However, it has not been applied to the simulation of viscoelastic material, which has many internal variables in conventional studies. Numerical simulations of viscoelastic material are essential for a wide range of engineering fields, such as a shock-absorbing structure. Considering the background above, we propose a unified Eulerian structure-fluid formulation with a visco-hyperelastic model in this study. The proposed method is verified by simulating the uniaxial tension test and shock-absorbing structure.</p>

    DOI: 10.11345/japannctam.66.0_15

    CiNii Research

  10. Implicit Eulerian fluid-structure interaction method considering interfacial discontinuity of velocity field

    NISHIGUCHI Koji, SHIMADA Tokimasa, HOSHIBA Hiroya, Kato Junji

    The Proceedings of The Computational Mechanics Conference   Vol. 2021.34 ( 0 ) page: 228   2021

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    Language:Japanese   Publisher:The Japan Society of Mechanical Engineers  

    <p>We propose an implicit Eulerian finite volume formulation using the reference map technique and Lagrangian maker particles to simulate deformable solid-fluid interaction problems. In this numerical framework, a set of Lagrangian maker particles represent the solid region and carry the initial position vector of solid (i.e., reference map), whereas basic equations and spatial derivatives are computed on the spatially fixed mesh. We will demonstrate several numerical examples in the presentation to validate the present approach.</p>

    DOI: 10.1299/jsmecmd.2021.34.228

    CiNii Research

  11. 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)  

  12. 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

  13. 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

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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

  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

  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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    Language:Japanese  

    DOI: 10.1299/jsmeoptis.2018.13.113

  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

Presentations 9

  1. Frequency response control of composite rubber structure using energy-based topology optimization International conference

    Hiroya Hoshiba, Junji Kato

    16th U.S. National Congress on Computational Mechanics  2021.7.27 

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    Event date: 2021.7

    Language:English   Presentation type:Oral presentation (general)  

    Country:United States  

  2. Fundamental study of topology optimization for brittle-ductile composites International conference

    Hiroya Hoshiba, Junji Kato

    ISSMO-14th World Congress of Structural and Multidisciplinary Optimization  2021.6.15  The International Society for Structural and Multidisciplinary Optimization

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    Event date: 2021.6

    Language:English   Presentation type:Oral presentation (general)  

    Country:United States  

  3. Control of viscosity of rubber composite structures using topology optimization

    Hiroya Hoshiba, Koji Nishiguchi, Junji Kato

    2021.5.27 

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    Event date: 2021.5

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  4. 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  

  5. 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  

  6. 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  

  7. 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  

  8. 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  

  9. 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) 3

  1. Multi-material topology optimization for anti-vibration rubbers considering 3D-printing functionally graded materials

    Grant number:22H00226  2022.4 - 2025.3

    Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (A)

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    Authorship:Coinvestigator(s) 

  2. 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 )

  3. 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. 構造材料実験I

    2019

  2. 環境土木工学実習

    2019

  3. 構造材料実験II

    2019