Procedure for Developing Shaped Models Using the Generative Design Method

2014 ◽  
pp. 435-441 ◽  
Author(s):  
Jana Gavačová ◽  
Miroslav Vereš
Keyword(s):  
Design Method ◽  
Generative Design

scholarly journals Film Adaptation as Experimental Game Design

Arts ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 103
Author(s):  
Pippin Barr
Keyword(s):  
Game Design ◽  
Design Method ◽  
Film Adaptation ◽  
New Work ◽  
Generative Design ◽  
Design Constraints ◽  
Popular Approach ◽  
Experimental Game ◽  
Spatial Exploration ◽  
Selection Of

Film adaptation is a popular approach to game design, but it prioritizes blockbuster films and conventional “game-like” qualities of those films, such as shooting, racing, or spatial exploration. This leads to adaptations that tend to use the aesthetics and narratives of films, but which miss out on potential design explorations of more complex cinematic qualities. In this article, I propose an experimental game design method that prioritizes an unconventional selection of films alongside strict game design constraints to explore tensions and affinities between cinema and videogames. By applying this design method and documenting the process and results, I am able both to present an experimental set of videogame film adaptations, along with potentially generative design and development themes. In the end, the project serves as an illustration of the nature of adaptation itself: a series of pointed compromises between the source and the new work.

scholarly journals A Performance-Based Urban Block Generative Design Using Deep Reinforcement Learning and Computer Vision

2021 ◽  
pp. 134-143
Author(s):  
Zhen Han ◽  
Wei Yan ◽  
Gang Liu
Keyword(s):  
Computer Vision ◽  
Reinforcement Learning ◽  
Design Method ◽  
Design Methods ◽  
Liaoning Province ◽  
Generative Design ◽  
Manual Adjustment ◽  
Policy Gradient ◽  
Block Based ◽  
A Performance

AbstractIn recent years, generative design methods are widely used to guide urban or architectural design. Some performance-based generative design methods also combine simulation and optimization algorithms to obtain optimal solutions. In this paper, a performance-based automatic generative design method was proposed to incorporate deep reinforcement learning (DRL) and computer vision for urban planning through a case study to generate an urban block based on its direct sunlight hours, solar heat gains as well as the aesthetics of the layout. The method was tested on the redesign of an old industrial district located in Shenyang, Liaoning Province, China. A DRL agent - deep deterministic policy gradient (DDPG) agent - was trained to guide the generation of the schemes. The agent arranges one building in the site at one time in a training episode according to the observation. Rhino/Grasshopper and a computer vision algorithm, Hough Transform, were used to evaluate the performance and aesthetics, respectively. After about 150 h of training, the proposed method generated 2179 satisfactory design solutions. Episode 1936 which had the highest reward has been chosen as the final solution after manual adjustment. The test results have proven that the method is a potentially effective way for assisting urban design.

scholarly journals Generative Design of Articulated Rod of Radial Engine

2021 ◽  
Vol 6 (1) ◽  
pp. 36-47
Author(s):  
Sawan Kumar Rai ◽  
Harit Keawmuang ◽  
Himanshu Variyavwala ◽  
Laith Shatnawi
Keyword(s):  
Computer Aided Design ◽  
Design Method ◽  
Generative Design ◽  
Element Analysis ◽  
Iterative Design ◽  
Rotary Engine ◽  
Before And After ◽  
Working Performance ◽  
Fixed Input ◽  
Aided Design

The constant need for improvement drives humans to look for the best possible option in every field. Computer Aided Design (CAD) is no exception, to follow the best method of designing a product and finalizing it, researchers came up with an idea to generate multiple designs using fixed input values and finalizing the most appropriate one. The objective is achieved using an iterative design process based on algorithms by a specific software. Generative design introduces a new experience based on the Integration of machine dynamics in the manufacturing of objects and about experience. In this work generative design method was investigated on an articulated rod, one of the most important components of the rotary engine, to effectively improve the overall working performance of the engine and enhance its performance by decreasing its mass. Since fuel consumption by the machine can be greatly reduced by lowering the mass, so the goal is to minimize the weight of the rod while mechanical characteristics have to be within the acceptable values. Also, finite element analysis (FEA) was investigated on the part as to ensure the reliability of the rod before and after optimization.

scholarly journals GENERATIVE DESIGN OF STRUCTURAL STEEL JOINTS

2021 ◽  
Vol 12 (23) ◽  
pp. 22-32
Author(s):  
Anton Kralj ◽  
◽  
Davor Skejić ◽  
Keyword(s):  
Optimal Design ◽  
Design Process ◽  
Structural Design ◽  
Design Method ◽  
Steel Structures ◽  
Structure Design ◽  
Structural Behavior ◽  
Generative Design ◽  
Steel Joints ◽  
Technical Regulations

Structural project is based on technical regulations, structural codes, construction conditions, and client requirements. Through the structural design process, some important decisions that can significantly affect the final result must be implemented. The most important factor for optimal design is the reduction in material and overall work costs. Selecting appropriate joint configurations that can reduce the overall weight and work on the structure is critical. To examine a significant number of possible configurations and their effect on structural behavior, the generative design method (GDM) is used. In this study, software is custom developed, and a relevant example of generative joint structural design is provided. The methodology for the optimal joint and structure design is described comprehensively. The final results show that the GDM is an effective methodology for application in the design of steel structures.

Optimasi topologi pada komponen penampan mesin printer 3dimensi dengan metode generative desain

2017 ◽  
Vol 7 (2) ◽  
Author(s):  
D.W. Utama
Keyword(s):  
Design Method ◽  
Parametric Method ◽  
Von Mises Stress ◽  
Design Criteria ◽  
Generative Design ◽  
Product Model ◽  
Element Analysis ◽  
Speed Up ◽  
Von Mises ◽  
Main Component

The process of developing a product is currently demanded faster implementation, where the use of CAD can help speed up the process of product development. The commonly CAD software used is parametric method software, where the user can change the shape of the model by changing the parameters accordingly, after which, the model can be directly analyzed using finite element analysis method. If the design is needed to be changed, then the designer should change the parameters in  CAD module and then performed FEA analysis again. This process is often done repeatedly to produce a product model that meets the needs and criteria specified. Generative design method is a method that uses a series of design criteria and design limitations. In this paper the generative design method is a feature in CAD where topology optimization is applied in creating the design of the tray table. The tray table is the main component of the 3D printer that has design criteria such as static load of 17.912N and geometric boundaries. The generative design used to optimize the weight of the component is reshaped again according to the criteria and aesthetics of the form. The CAD model is retested with the FEA method to ensure safe design. The results show that the best optimazation is at 55% weight reduction with the von mises stress 2.12 MPa and the deflection about 0.129mm.

A generative design approach for modular construction in congested urban areas

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yuxi Wei ◽  
Hyungjoo Choi ◽  
Zhen Lei
Keyword(s):  
Urban Areas ◽  
Design Method ◽  
Residential Building ◽  
Information Modeling ◽  
Design Approach ◽  
Design Parameters ◽  
Building Structures ◽  
Modular Construction ◽  
Generative Design ◽  
Content Type

PurposeModular construction is widely adopted and used in the construction industry to improve construction performance with respect to both efficiency and productivity. The evaluation of design options for modular construction can be iterative, and thus automation is required to develop design alternatives. This research aims to explore the potential of utilizing the generative design approach to automate modular construction for residential building structures in urban areas such as New York City.Design/methodology/approachThe proposed research methodology is investigated for a systematic approach to parametrize design parameters for modular construction layout design as well as incorporate design rules/parameters into modularizing design layouts in a Building Information Modeling (BIM) environment. Based on current building codes and necessary inputs by the user, the proposed approach enables providing recommendations in a generative design method and optimizes construction processes by performing analytical calculations.FindingsThe generative design has been found to be efficient in generating layout designs for modular construction based on parametric design. The integration of BIM and generative design can allow industry practitioners to fast generate design layout with evaluations from constructability perspectives.Originality/valueThis paper has proposed a new approach of incorporating generative design with BIM technologies to solve module layout generations by considering design and constructability constraints. The method can be further extended for evaluating modular construction design from manufacturability and assembly perspectives.

scholarly journals Generative design: information flow between genetic algorithm and parametric design in a steel structure construction

2021 ◽  
Vol 21 (4) ◽  
pp. 271-289
Author(s):  
Renato Godoi da Cruz ◽  
Cláudia Maria Arcipreste ◽  
Rafael Lemieszek Pinheiro ◽  
Rovadávia Aline de Jesus Ribas
Keyword(s):  
Genetic Algorithms ◽  
Design Process ◽  
Information Flow ◽  
Architectural Design ◽  
Parametric Design ◽  
Design Method ◽  
Steel Structure ◽  
Parametric Modelling ◽  
Generative Design ◽  
Design Options

Abstract This paper describes the construction of an information flow that combines parametric modelling and genetic algorithms to optimise both the total weight of a structured steel roof and the shape of its surface to maximise the generation potential of photovoltaic energy. Through the systematisation of a design process using genetic algorithms integrated with generative design as an architectural design method, architects can work with problem parameterisation, going one step further than the mere formal proposition of solutions.As a result, we present a process in which there is a dialogical relationship between the architect and project in a continuous flow of information in the initial steps of the design process, guided by predefined optimisation objectives. Therefore, it is relevant to note that the designer accepts a reduced creative control over the final shape in favor of control over the core principles that constitute the optimisation algorithms. An approach that involved the designer in a process of post computational processing evaluations is also highlighted, giving him better support to discuss and analyze the design options.

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