Bio-inspired material design and optimization

被引:0
|
作者
Guo, Xu [1 ,2 ]
Gao, Huajian [2 ]
机构
[1] Dalian Univ Technol, Dept Mech Engn, State Key Lab Struct Anal Ind Equipment, Dalian 116023, Peoples R China
[2] Max Planck Inst Met Res, Stuttgart, Germany
基金
美国国家科学基金会;
关键词
bio-inspired mimetic; material design; optimization; flaw tolerance;
D O I
暂无
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Natural materials such as bone, tooth, and nacre are nano-composites of proteins and minerals with superior stiffness and toughness. At the most elementary structure level, bio-composites exhibit a generic microstructure consisting of staggered mineral bricks wrapped by soft protein in nanoscale. Why does nature design building blocks of biological materials in this form? Can we reproduce this kind of structure from the structural optimization point of view? We believe that biological materials are designed with simultaneous optimization of stiffness and toughness for maximum structural support and flaw tolerance. With this philosophy, an optimization problem is formulated under the assumption of appropriate material constitutive models and failure criteria. It is shown that, within this optimization framework, the staggered microstructure of biological materials can be successfully reproduced at the nanometer length scale. This study may have at least partially provided an answer to the question whether the nanostructure of biological materials is an optimized structure and what is being optimized. The results suggest that we can draw lessons from the nature in designing nanoscale and hierarchically structured materials.
引用
收藏
页码:439 / +
页数:2
相关论文
共 50 条
  • [1] Bio-inspired material design and optimization - A study of the nanostructure of biomaterials from optimization point of view
    Guo, Xu
    Gao, Huajian
    Zhao, Kang
    [J]. CJK-OSM 4: THE FOURTH CHINA-JAPAN-KOREA JOINT SYMPOSIUM ON OPTIMIZATION OF STRUCTURAL AND MECHANICAL SYSTEMS, 2006, : 33 - 39
  • [2] Application of Bio-Inspired Design to Minimize Material Diversity
    McCullar, Katie S.
    Rhodes, Preston C.
    Underhill, S. Austin
    Nagel, Jacquelyn K. S.
    [J]. PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2016, VOL 4, 2016,
  • [3] A Review on the Optimization Techniques for Bio-inspired Antenna Design
    Anand, Rohit
    Chawla, Paras
    [J]. PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT, 2016, : 2228 - 2233
  • [4] Bio-inspired soft robotics: Material selection, actuation, and design
    Coyle, Stephen
    Majidi, Carmel
    LeDuc, Philip
    Hsia, K. Jimmy
    [J]. EXTREME MECHANICS LETTERS, 2018, 22 : 51 - 59
  • [5] Ideology in Bio-inspired Design
    Shelley, Cameron
    [J]. MODEL-BASED REASONING IN SCIENCE AND TECHNOLOGY: LOGICAL, EPISTEMOLOGICAL, AND COGNITIVE ISSUES, 2016, 27 : 43 - 56
  • [6] A Bio-Inspired Method for Engineering Design Optimization Inspired by Dingoes Hunting Strategies
    Peraza-Vázquez, Hernán
    Peña-Delgado, Adrián F.
    Echavarría-Castillo, Gustavo
    Morales-Cepeda, Ana Beatriz
    Velasco-Álvarez, Jonás
    Ruiz-Perez, Fernando
    [J]. Peraza-Vázquez, Hernán (hperaza@ipn.mx); Peña-Delgado, Adrián F. (apea@utaltamira.edu.mx), 1600, Hindawi Limited (2021):
  • [7] A Bio-Inspired Submersible Design
    Prater, Andrew J.
    Adessi, Antionio
    [J]. OCEANS 2017 - ANCHORAGE, 2017,
  • [8] A Bio-Inspired Method for Engineering Design Optimization Inspired by Dingoes Hunting Strategies
    Peraza-Vazquez, Hernan
    Pena-Delgado, Adrian F.
    Echavarria-Castillo, Gustavo
    Beatriz Morales-Cepeda, Ana
    Velasco-Alvarez, Jonas
    Ruiz-Perez, Fernando
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
  • [9] Design and development of bio-inspired framework for reservoir operation optimization
    Asvini, M. Sakthi
    Amudha, T.
    [J]. ADVANCES IN WATER RESOURCES, 2017, 110 : 193 - 202
  • [10] Bio-Inspired Optimization in Engineering and Sciences
    Zhang, Yudong
    Chen, Huifing
    [J]. CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2023, 137 (02): : 1065 - 1067