scholarly journals Inverse Design Methods: Inverse Design Strategies for 3D Surfaces Formed by Mechanically Guided Assembly (Adv. Mater. 14/2020)

2020 ◽  
Vol 32 (14) ◽  
pp. 2070107
Author(s):  
Zhichao Fan ◽  
Yiyuan Yang ◽  
Fan Zhang ◽  
Zheng Xu ◽  
Hangbo Zhao ◽  
...  
Keyword(s):  
Design Methods ◽  
Inverse Design ◽  
Design Strategies ◽  
Guided Assembly ◽  
3D Surfaces

scholarly journals Inverse Design Strategies for 3D Surfaces Formed by Mechanically Guided Assembly

2020 ◽  
Vol 32 (14) ◽  
pp. 1908424 ◽  
Author(s):  
Zhichao Fan ◽  
Yiyuan Yang ◽  
Fan Zhang ◽  
Zheng Xu ◽  
Hangbo Zhao ◽  
...  
Keyword(s):  
Inverse Design ◽  
Design Strategies ◽  
Guided Assembly ◽  
3D Surfaces

Inverse design strategies for buckling-guided assembly of 3D surfaces based on topology optimization

2021 ◽  
pp. 101582
Author(s):  
Zheng Xu ◽  
Zhichao Fan ◽  
Wenbo Pang ◽  
Yanyang Zi ◽  
Yihui Zhang
Keyword(s):  
Topology Optimization ◽  
Inverse Design ◽  
Design Strategies ◽  
Guided Assembly ◽  
3D Surfaces

scholarly journals LOW-ENERGY DESIGN METHODS AND ITS IMPLEMENTATION IN ARCHITECTURAL PRACTICE: STRATEGIES FOR ENERGY-EFFICIENT HOUSING OF VARIOUS DENSITIES IN TEMPERATE CLIMATES

2013 ◽  
Vol 8 (4) ◽  
pp. 164-183 ◽  
Author(s):  
Kyung Sun Lee ◽  
Jiyoung Lee ◽  
Jae Seung Lee
Keyword(s):  
Early Stage ◽  
Design Methods ◽  
Low Energy ◽  
Practical Implementation ◽  
Design Strategies ◽  
Architectural Practice ◽  
Sustainable Housing ◽  
Urban Population Growth ◽  
Energy Strategies ◽  
Temperate Climates

With mounting concerns over climate change and urban population growth, the demand for sustainable housing based on low-energy designs is steadily increasing. A variety of low-energy design methods have been developed to reduce energy and resource consumption; however, research shows that the implementation of such methods has been surprisingly limited. In addition, while the degree of housing density is understood to have an impact on low-energy designs, what that impact is and how it can be strategically applied have not been adequately researched. This research examines how low-energy designs are applied in housing types with various densities in temperate climates, identifies the issues and problems pertaining to the implementation of passive and active design strategies. This research uses a survey, which asks design practitioners to rate the merits of various low-energy design strategies and assesses how often these approaches are implemented in practice. The study uncovers discrepancies between perceived importance of low-energy design aspects and their practical implementation, finding that certain low-energy strategies can be more effective when they are incorporated in an early stage of the design process.

Enhancement of the inverse design methods 1 , 2

2017 ◽  
pp. 181-239
Author(s):  
Qingyan Chen ◽  
Zhiqiang Zhai ◽  
Xueyi You ◽  
Tengfei Zhang
Keyword(s):  
Design Methods ◽  
Inverse Design

Initial Design Strategies for Iterative Design

1990 ◽  
Author(s):  
Natarajan Ramachandran ◽  
Noshir A. Langrana ◽  
Louis Steinberg
Keyword(s):  
Initial Point ◽  
Design Methods ◽  
Design Strategies ◽  
Iterative Design ◽  
Initial Design ◽  
Iterative Model ◽  
Starting Point ◽  
Time Required ◽  
Initial Starting ◽  
Number Of Iterations

Abstract This paper discusses methods to retrieve design(s) from a design library in order to achieve a better initial starting point for the iterative model of the design process. The motivation for doing this is to reduce the extensive analysis time required for many iterative design problems. Starting a design at a favorable initial point should help reduce the number of iterations. Four initial design methods have been investigated varying from a simple non-library method to methods that use designs from a library. To evaluate the effectiveness of these methods, the initial design methods were tested on four example problems. They are, a cantilever beam, a gear-pair, a v-belt and an extruder-die. It was found that the number of iterations reduced approximately as 1/n, where n is the number of stored values in the design library.

Genetic optimization of target pressure distributions for inverse design methods

AIAA Journal ◽  
1996 ◽  
Vol 34 (5) ◽  
pp. 881-886 ◽  
Author(s):  
Shigeru Obayashi ◽  
Susumu Takanashi
Keyword(s):  
Design Methods ◽  
Inverse Design ◽  
Genetic Optimization ◽  
Pressure Distributions ◽  
Target Pressure
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