An explicit optimization model for integrated layout design of planar multi-component systems using moving morphable bars

被引:35
|
作者
Wang, Xuan [1 ]
Long, Kai [2 ]
Van-Nam Hoang [3 ]
Hu, Ping [1 ]
机构
[1] Dalian Univ Technol, Sch Automot Engn, State Key Lab Struct Anal Ind Equipment, Dalian 116023, Peoples R China
[2] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China
[3] Vietnam Maritime Univ, Dept Mech Engn, Hai Phong 484, Vietnam
基金
中国国家自然科学基金;
关键词
Topology optimization; Multi-component systems; Moving morphable bars; Explicit model; Layout optimization; STRUCTURAL TOPOLOGY OPTIMIZATION; GEOMETRY PROJECTION METHOD; MINIMUM LENGTH SCALE; SENSITIVITY-ANALYSIS; COMPONENTS MMC; SHAPE;
D O I
10.1016/j.cma.2018.07.032
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Layout design of multi-component systems has received ever-increasing attention over recent years. However, most of the current literature on the layout design of multi-component systems conducted are all carried out in an implicit way. In this paper, an explicit optimization model based on the moving morphable bars method is proposed. To this aim, topology description functions are used to describe the geometrical shapes of embedded components, while moving bars act as supporting structure that connects these embedded components. Different from traditional optimization methods, the geometric parameters used to describe the size, shape, location and orientation of the moving bars and embedded components are considered as design variables in this work. To avoid remeshing the grids and improve the efficiency of computation, the moving bars and embedding components are mapped into two density fields on a fixed grid using a smoothed Heaviside function. A discrete material interpolation scheme developed for orientation optimization problem is extended for the first time to the material parameterization of multi-component systems. Moreover, a single explicit constraint based on the volume and perimeter of embedded components is proposed for avoiding overlaps between the embedded components, and between each component and the design domain boundary. Several numerical examples are performed to show the effectiveness and flexibility of the presented optimization model in handling layout optimization of structures with multi-phase embedded components. (C) 2018 Elsevier B.V. All rights reserved.
引用
下载
收藏
页码:46 / 70
页数:25
相关论文
共 50 条
  • [41] Estimation of kinematic viscosities for multi-component systems using modified Eyring and activity coefficient model
    Matsuda, Hiroyuki
    Tochigi, Katsumi
    Kurihara, Kiyofumi
    Funazukuri, Toshitaka
    Rattan, V. K.
    FLUID PHASE EQUILIBRIA, 2019, 492 : 137 - 144
  • [42] Bi-criteria Optimization in Integrated Layout Design of Cellular Manufacturing Systems Using a Genetic Algorithm
    Leno, I. Jerin
    Sankar, S. Saravana
    Raj, M. Victor
    Ponnambalam, S. G.
    SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, PT I, 2011, 7076 : 323 - +
  • [43] Modeling precipitation kinetics for multi-phase and multi-component systems using particle size distributions via a moving grid technique
    Herrnring, Jan
    Sundman, Bo
    Staron, Peter
    Klusemann, Benjamin
    ACTA MATERIALIA, 2021, 215
  • [44] New Integrated Model for Maintenance Planning and Quality Control Policy for Multi-Component System Using an EWMA Chart
    Al-Shayea, Adel
    Noman, Mohammed A.
    Nasr, Emad Abouel
    Kaid, Husam
    Kamrani, Ali K.
    El-Tamimi, Abdulaziz M.
    IEEE ACCESS, 2019, 7 : 160623 - 160636
  • [45] Joint optimization of inspection and maintenance strategy for complex multi-component systems using a quantum-inspired genetic algorithm
    Tang, Diyin
    Wang, Xuan
    Di, Junwei
    Zheng, Guofeng
    Yu, Jinsong
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, 2023, 237 (05) : 966 - 979
  • [46] Maintenance strategy selection for multi-component systems using a combined analytic network process and cost-risk criticality model
    Shafiee, Mahmood
    Labib, Ashraf
    Maiti, Jhareswar
    Starr, Andrew
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, 2019, 233 (02) : 89 - 104
  • [47] Optimization of Multi-Satellite Systems Using Integrated Model Based System Engineering (MBSE) Techniques
    Crane, Jeremiah
    Brownlow, Leonard
    2015 9TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON), 2015, : 206 - 211
  • [48] Spatially Explicit Static Model for the Strategic Design of Future Bioethanol Production Systems. 2. Multi-Objective Environmental Optimization
    Zamboni, Andrea
    Bezzo, Fabrizio
    Shah, Nilay
    ENERGY & FUELS, 2009, 23 (10) : 5134 - 5143
  • [49] Optimization of a conical cascade using invasive weed optimization (IWO) algorithm for multi-component systems: Investigation of the effect of feed flow on the separation factor of centrifuge machines in the cascade by DSMC method
    Khajenoori, Masoud
    Safdari, Jaber
    Yousefi-Nasab, Sadegh
    Mallah, Mohammad Hassan
    Karimi-Sabet, Javad
    Askari, Mohammad Hossein
    ANNALS OF NUCLEAR ENERGY, 2021, 162
  • [50] Computationally efficient integrated design and predictive control of flexible energy systems using multi-fidelity simulation-based Bayesian optimization
    Sorourifar, Farshud
    Choksi, Naitik
    Paulson, Joel A.
    OPTIMAL CONTROL APPLICATIONS & METHODS, 2023, 44 (02): : 549 - 576