GENE_ARCH: An Evolution-Based Generative Design System for Sustainable Architecture

Author(s):  
Luisa Caldas
Buildings ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 201
Author(s):  
Jani Mukkavaara ◽  
Marcus Sandberg

The use of generative design has been suggested to be a novel approach that allows designers to take advantage of computers’ computational capabilities in the exploration of design alternatives. However, the field is still sparsely explored. Therefore, this study aimed to investigate the potential use of generative design in an architectural design context. A framework was iteratively developed alongside a prototype, which was eventually demonstrated in a case study to evaluate its applicability. The development of a residential block in the northern parts of Sweden served as the case. The findings of this study further highlight the potential of generative design and its promise in an architectural context. Compared to previous studies, the presented framework is open to other generative algorithms than mainly genetic algorithms and other evaluation models than, for instance, energy performance models. The paper also presents a general technical view on the functionality of the generative design system, as well as elaborating on how to explore the solution space in a top-down fashion. This paper moves the field of generative design further by presenting a generic framework for architectural design exploration. Future research needs to focus on detailing how generative design should be applied and when in the design process.


2020 ◽  
Vol 318 ◽  
pp. 01006
Author(s):  
Ioannis Ntintakis ◽  
George E. Stavroulakis

Due to recent developments in the field of additive manufacturing enormous advantages have become in product design and manufacturing process. Before the appearance of additive manufacturing, developing very complex or light weight structures was difficult to manufacture. The development of artificial intelligent technology helps to develop new collaborative tools and algorithms. Generative design approach is one of them. The outcome model from a generative design study is not depending only from designer/engineer experience or his knowledge. Designers can react with sophisticated algorithms through CAD programs to specify the shape and the topology of the model. A significant tool on a generative design system is topology optimization which is able to generate different solutions. The changes in design process are significant. A rough conceptual design (sketch) or a 3d model is first prepared. Then, boundary conditions, safety factor, manufacturing limitations and materials properties are defined. The generative design system generates potential solutions. It’s up to the designer to find the design that best fits to his need. In this paper the review covers the limitations of current systems through the study of specific design cases using commercial generative design systems.


Author(s):  
Jeff Heisserman

Abstract The design and manufacture of aircraft require management of a product that is both large and complex, with as many as live million parts, tens of gigabytes of geometric data, multiple functional systems, manufacturing plans, assembly sequences, and maintenance and operational information. The access and manipulation of the data by the designers is essential to developing an efficient and competitive product. In developing and manufacturing these products, there are a number of situations where there is a need to compare designs. In this paper, we describe the problem of comparing and merging different versions of a design, discuss criteria for determining differences, and present novel and efficient algorithms for their computation. We have developed facilities for computing the differences between complex assembly structures with large amounts of geometric data, and for interactively visualizing these differences. These facilities have been implemented in our Genesis generative design system.


Vestnik IGEU ◽  
2021 ◽  
pp. 38-46
Author(s):  
A.I. Tikhonov ◽  
A.V. Stulov ◽  
A.V. Likhachova ◽  
M.I. Nikiforov ◽  
I.V. Eryomin

Modern technologies of generative design and digital twins of electrical devices are based on the use of field models, as a rule, three-dimensional ones. Also, it is possible to solve design problems and to simulate accurately electrical machines and devices based on a set of 2D models of physical fields. Application of automatically generated field models in modern systems of engineering analysis during the design and optimization of electrical machines and devices makes it possible to get rid of many assumptions and outdated empirical and semi-empirical dependencies, as well as to reach a new methodological level of design theory, characterized by a unified approach to the calculation of various devices. Therefore, the purpose of this article is to develop a methodology to design a synchronous motor of an atypical design, based on the use of two-dimensional models of a stationary magnetic field at different design stages and allowing a solution to be obtained even in the absence of preliminary studies and recommendations. The finite element method is used implemented by means of the EMLib library (author's development), which allows calculating magnetic fields in a 2D formulation. Also, methods of the theory of synchronous machines and object-oriented programming in VBA in the MSExcel environment are used. Elements of digital twin technology and generative design are used while developing the methodology and design system. A method to design an end-face synchronous motor has been developed using automatically generated set of field models at the stages of choosing the height of a permanent magnet, calculating the parameters of an equivalent circuit, and an angular characteristic. Based on the popular MSExcel package, a system to design an end-face synchronous motor has been developed. The EMLib library has been implemented into the system, it allows using the results of calculating the magnetic field in the key design operations. The end-face synchronous motor has been designed and tested on the base of the developed system. The results of the research can be used during the development of methods to design electrical machines and devices of arbitrary, including non-standard design, for which approved algorithms for engineering analysis do not exist.


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