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2015
  1. [DOI] M. Carrasco, B. Ivorra, and A. M. Ramos, “Stochastic Topology Design Optimization for Continuous Elastic Materials,” Computer Methods in Applied Mechanics and Engineering, vol. 289, pp. 131-154, 2015.
    [Bibtex]
    @article{Carrasco2015,
    author = {Carrasco, Miguel and Ivorra, Benjamin and Ramos, Angel Manuel},
    title = {Stochastic Topology Design Optimization for Continuous Elastic Materials},
    journal = {Computer Methods in Applied Mechanics and Engineering},
    volume = {289},
    pages = {131-154},
    ISSN = {0045-7825},
    DOI = {10.1016/j.cma.2015.02.003},
    year = {2015},
    type = {Journal Article}
    }
  2. [DOI] C. Gogu, “Improving the efficiency of large scale topology optimization through on-the-fly reduced order model construction,” International Journal for Numerical Methods in Engineering, vol. 101, iss. 4, pp. 281-304, 2015.
    [Bibtex]
    @article{Gogu2014,
    author = {Gogu, Christian},
    title = {Improving the efficiency of large scale topology optimization through on-the-fly reduced order model construction},
    journal = {International Journal for Numerical Methods in Engineering},
    volume = {101},
    number = {4},
    pages = {281-304},
    ISSN = {1097-0207},
    DOI = {10.1002/nme.4797},
    year = {2015},
    type = {Journal Article}
    }
  3. [DOI] Z. H. Zuo and Y. M. Xie, “A simple and compact Python code for complex 3D topology optimization,” Advances in Engineering Software, vol. 85, pp. 1-11, 2015.
    [Bibtex]
    @article{Zuo2015,
    author = {Zuo, Zhi Hao and Xie, Yi Min},
    title = {A simple and compact Python code for complex 3D topology optimization},
    journal = {Advances in Engineering Software},
    volume = {85},
    number = {0},
    pages = {1-11},
    abstract = {This paper presents a 100-line Python code for general 3D topology optimization. The code adopts the Abaqus Scripting Interface that provides convenient access to advanced finite element analysis (FEA). It is developed for the compliance minimization with a volume constraint using the Bi-directional Evolutionary Structural Optimization (BESO) method. The source code is composed of a main program controlling the iterative procedure and five independent functions realizing input model preparation, FEA, mesh-independent filter and BESO algorithm. The code reads the initial design from a model database (.cae file) that can be of arbitrary 3D geometries generated in Abaqus/CAE or converted from various widely used CAD modelling packages. This well-structured code can be conveniently extended to various other topology optimization problems. As examples of easy modifications to the code, extensions to multiple load cases and nonlinearities are presented. This code is useful for researchers in the topology optimization field and for practicing engineers seeking automated conceptual design tools. With further extensions, the code could solve sophisticated 3D conceptual design problems in structural engineering, mechanical engineering and architecture practice. The complete code is given in the appendix section and can also be downloaded from the website: www.rmit.edu.au/research/cism/.},
    keywords = {Topology optimization
    BESO
    Python
    Abaqus
    NumPy
    Large deflection},
    ISSN = {0965-9978},
    DOI = {http://dx.doi.org/10.1016/j.advengsoft.2015.02.006},
    url = {http://www.sciencedirect.com/science/article/pii/S0965997815000241},
    year = {2015},
    type = {Journal Article}
    }
  4. P. Bhaumik, “Generation and Validation of Optimal Topologies for Solid Freeform Fabrication,” Master Thesis, Dept. Mechanical and Aerospace Engineering, Missouri University of Science and Technology, 2015.
    [Bibtex]
    @mastersthesis{Bhaumik2015,
    author = {Bhaumik, Purnajyoti},
    title = {Generation and Validation of Optimal Topologies for Solid Freeform Fabrication},
    department = {Dept. Mechanical and Aerospace Engineering},
    university = {Missouri University of Science and Technology},
    place = {Rolla, Missouri},
    degree = {Master of Science in Mechanical Engineering},
    year = {2015},
    type = {Thesis}
    }
2014
  1. [DOI] M. T. Cui and H. F. Chen, “The Influence of Initial Structural Density Value on Results of Multi-Material Topology Optimization Problems,” Applied Mechanics and Materials, vol. 635-637, pp. 223-227, 2014.
    [Bibtex]
    @article{Cui2014,
    author = {Cui, Ming Tao and Chen, Hong Fang},
    title = {The Influence of Initial Structural Density Value on Results of Multi-Material Topology Optimization Problems},
    journal = {Applied Mechanics and Materials},
    volume = {635-637},
    pages = {223-227},
    ISSN = {1662-7482},
    DOI = {10.4028/www.scientific.net/AMM.635-637.223},
    year = {2014},
    type = {Journal Article}
    }
  2. [DOI] A. Evgrafov, “On the reduced Hessian of the compliance,” Structural and Multidisciplinary Optimization, vol. 50, iss. 6, pp. 1197-1199, 2014.
    [Bibtex]
    @article{Evgrafov2014,
    author = {Evgrafov, Anton},
    title = {On the reduced Hessian of the compliance},
    journal = {Structural and Multidisciplinary Optimization},
    volume = {50},
    number = {6},
    pages = {1197-1199},
    keywords = {Second order sensitivity analysis
    Hessian of the compliance},
    ISSN = {1615-147X},
    DOI = {10.1007/s00158-014-1204-x},
    url = {http://dx.doi.org/10.1007/s00158-014-1204-x},
    year = {2014},
    type = {Journal Article}
    }
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