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    Multimaterial topology optimization by volume constrained Allen-Cahn system and regularized projected steepest descent method

    , Article Computer Methods in Applied Mechanics and Engineering ; Vol. 276 , 2014 , pp. 534-565 ; ISSN: 00457825 Tavakoli, R ; Sharif University of Technology
    Abstract
    A new computational algorithm is introduced in the present study to solve multimaterial topology optimization problems. It is based on the penalization of the objective functional by the multiphase volume constrained Ginzburg-Landau energy functional. The update procedure is based on the gradient flow of the objective functional by a fractional step projected steepest descent method. In the first step, the new design is found based on the projected steepest descent method to ensure the reduction in the objective functional, simultaneously satisfying the control constraints. In the second step, regularization step, an H1 regularity of the solution is ensured while keeping the feasibility of... 

    Unconditionally energy stable time stepping scheme for Cahn-Morral equation: Application to multi-component spinodal decomposition and optimal space tiling

    , Article Journal of Computational Physics ; Volume 304 , 2016 , Pages 441-464 ; 00219991 (ISSN) Tavakoli, R ; Sharif University of Technology
    Academic Press Inc 
    Abstract
    An unconditionally energy stable time stepping scheme is introduced to solve Cahn-Morral-like equations in the present study. It is constructed based on the combination of David Eyre's time stepping scheme and Schur complement approach. Although the presented method is general and independent of the choice of homogeneous free energy density function term, logarithmic and polynomial energy functions are specifically considered in this paper. The method is applied to study the spinodal decomposition in multi-component systems and optimal space tiling problems. A penalization strategy is developed, in the case of later problem, to avoid trivial solutions. Extensive numerical experiments... 

    Alternating active-phase algorithm for multimaterial topology optimization problems: A 115-line MATLAB implementation

    , Article Structural and Multidisciplinary Optimization ; Vol. 49, issue. 4 , April , 2014 , p. 621-642 Tavakoli, R ; Mohseni, S. M ; Sharif University of Technology
    Abstract
    A new algorithm for the solution of multimaterial topology optimization problems is introduced in the present study. The presented method is based on the splitting of a multiphase topology optimization problem into a series of binary phase topology optimization sub-problems which are solved partially, in a sequential manner, using a traditional binary phase topology optimization solver; internal solver. The coupling between these incomplete solutions is ensured using an outer iteration strategy based on the block coordinate descend method. The presented algorithm provides a general framework to extend the traditional binary phase topology optimization solvers for the solution of multiphase... 

    A new hierarchal and scalable architecture for performance enhancement of large scale underwater sensor networks

    , Article ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics, 20 March 2011 through 22 March 2011, Kuala Lumpur ; 2011 , Pages 520-525 ; 9781612846903 (ISBN) Hamidzadeh, M ; Forghani, N ; Movaghar, A ; IEEE Advancing Technology for Humanity; IEEE Computer Society; IEEE Malaysia Computer Chapter; IEEE Malaysia; IEEE Malaysia Power Electron. (PEL)/Ind.; Electron. (IE)/ Ind. Appl. (IA) Jt. Chapter ; Sharif University of Technology
    2011
    Abstract
    The different characteristics of UWSN and trade off between UWSN and WSN, have been discussed in many researches. Here, we aim to propose a new architecture for very large scale underwater sensor network. In deployment part of sensors, topology plays a crucial role in issues like communication performance, power consumption, network reliability and fault tolerance capabilities. Hence, it is so critical and should be analyzed how we deploy sensors in targets environment. For instance, to improve reliability of our networks in harsh conditions, it is so important to avoid deploying underwater sensors with single point of failure and bottleneck. For this purpose, we present enhanced clustering...