Cloud and Computer Mediated Collaboration in the Early Architectural Design Stages: A Study of Early Design Stage Collaboration Related to BIM and the Cloud

2013 ◽  
Author(s):  
Marianthi Leon ◽  
Richard Laing
Keyword(s):  
Architectural Design ◽  
Design Stage ◽  
Early Design ◽  
Early Design Stage ◽  
Computer Mediated

scholarly journals Facade Style Mixing using Artificial Intelligence for Urban Infill

2021 ◽  
Author(s):  
AHMED KHAIRADEEN ALI ◽  
One Jae Lee
Keyword(s):  
Artificial Intelligence ◽  
Architectural Design ◽  
Early Stage ◽  
Building Design ◽  
Digital Design ◽  
Design Stage ◽  
Generative Adversarial Network ◽  
Early Design ◽  
Early Design Stage ◽  
Early Stage Design

Artificial Intelligence and especially machine learning have noticed rapid advancement on image processing operations. However, its involvement in the architectural design is still in its initial stages compared to other disciplines. Therefore, this paper addresses the issues of developing an integrated bottom up digital design approach and details a research framework for the incorporation of Deep Convolutional Generative Adversarial Network (GAN) for early stage design exploration and generation of intricate and complex alternative facade designs for urban infill. This paper proposes a novel building facade design by merging two neighboring building’s architecture style, size, scale, openings, as reference to create a new building design in the same neighborhood for urban infill. This newly produced building contains the outline, style and shape of the parent buildings. A 2D urban infill building design is generated as a picture where 1) neighboring buildings are imported as a reference using mobile phone and 2)iFACADE decode their spatial adjacency. It is depicted the iFACADE will be useful for designers in the early design stage to generate new façades depending on existing buildings in a short time that will save time and energy. Besides, building owners can use iFACADE to show their architects their preferred architecture facade by mixing two building styles and generating a new building. Therefore, it is depicted that iFACADE can become a communication platform in the early design stages between architects and owners. Initial results properly define a heuristic function for generating abstract design facade elements and sufficiently illustrate the desired functionality of our developed prototype.

Cost estimation through Monte Carlo simulation in architectural early design stage

2020 ◽  
pp. 002072092092330
Author(s):  
Nan Wu ◽  
Shen-Guan Shih
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Cost Estimation ◽  
Architectural Design ◽  
Construction Cost ◽  
Design Stage ◽  
Design Decision ◽  
Affecting Factors ◽  
Early Design ◽  
Early Design Stage

Architectural design can be considered an information-adding process, and within this process, each design decision provides information that uncovers some uncertainty regarding what is to be constructed. In early design stages, cost estimation is indispensable for subsequent decision making, but it cannot be accurate owing to the uncertainty associated with decisions that have not been made. This study proposes a Monte Carlo simulation–based method for designers to estimate potential trends in the construction cost of future design developments. The simulation reveals the probability distribution of construction cost via massive sampling over acceptable ranges of cost-affecting factors that have not yet been uncovered in the current design stage. The simulation result can serve as a part of a dashboard that provides guidance to designers for more optimally controlling construction cost.

scholarly journals Exploring Multi-Disciplinary Communication Based on Generative Modeling at the Early Architectural Design Stage

2018 ◽  
Author(s):  
Yi Feng Chang ◽  
Shen Guan Shih
Keyword(s):  
Architectural Design ◽  
Interdisciplinary Communication ◽  
Design Stage ◽  
Design Development ◽  
Early Integration ◽  
Early Design ◽  
Early Design Stage ◽  
Procedural Information ◽  
Generative Modeling ◽  
Professional Fields

The purpose of interdisciplinary communication during the early architectural design stage is to achieve the early integration of knowledge in different professional fields, which can help architects to choose correct design development strategies during the early architectural design stage. However, because there is too little information at the early design stage, and design solutions are still rapidly changing and developing, the uncertainties at this stage make it difficult for consultants in other disciplines to provide their views and analysis. In spite of this situation, the emergence of generative modeling is changing design procedures and methods of communication and cooperation for architectural teams, and has brought about a shift in the way architects transmit design information from "what" (declarative information) to "how" (procedural information). Generative modeling is like an aircraft's dashboard: It can provide a basis for interdisciplinary communication, provide interdisciplinary knowledge packages, and bring about a shift in interdisciplinary communication that will reduce the architectural team's communication needs and cost. This study uses a real design case to show the feasibility of generative modeling. Employing generative modeling as a basis, architects can enhance the efficiency of design change and multi-disciplinary communication during the early design stage, integrate specialized knowledge in relevant fields, use this knowledge to formulate design criteria for the next stage, and effectively transmit design decisions. As a consequence, the changes to the cost structure of design revisions and communication between different disciplines has initiated a paradigm shift toward multi-disciplinary communication in architectural design.

Identification of Human Errors During Early Design Stage Functional Failure Analysis

2018 ◽  
Author(s):  
Lukman Irshad ◽  
Salman Ahmed ◽  
Onan Demirel ◽  
Irem Y. Tumer
Keyword(s):  
Failure Analysis ◽  
Human Error ◽  
System Level ◽  
Design Stage ◽  
Human Factors Engineering ◽  
Human Errors ◽  
Functional Failure ◽  
Early Design ◽  
Early Design Stage ◽  
Early Design Stages

Detection of potential failures and human error and their propagation over time at an early design stage will help prevent system failures and adverse accidents. Hence, there is a need for a failure analysis technique that will assess potential functional/component failures, human errors, and how they propagate to affect the system overall. Prior work has introduced FFIP (Functional Failure Identification and Propagation), which considers both human error and mechanical failures and their propagation at a system level at early design stages. However, it fails to consider the specific human actions (expected or unexpected) that contributed towards the human error. In this paper, we propose a method to expand FFIP to include human action/error propagation during failure analysis so a designer can address the human errors using human factors engineering principals at early design stages. To explore the capabilities of the proposed method, it is applied to a hold-up tank example and the results are coupled with Digital Human Modeling to demonstrate how designers can use these tools to make better design decisions before any design commitments are made.

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