International Journal of Architectural Computing最新文献_第7页

Fast wind prediction incorporated in urban city planning 在城市规划中纳入快风预测

IF 1.7

International Journal of Architectural Computing Pub Date : 2022-09-01 DOI: 10.1177/14780771221121034

L. Kabošová, A. Chronis, Theodoros Galanos

引用次数: 2

Constraint handling methods for a generative envelope design using genetic algorithms: The case of a highly constrained problem 使用遗传算法的生成包络设计的约束处理方法：一个高度约束问题的例子

IF 1.7

International Journal of Architectural Computing Pub Date : 2022-09-01 DOI: 10.1177/14780771221120577

Claire Duclos-Prévet, F. Guéna, Mariano Efron

{"title":"Constraint handling methods for a generative envelope design using genetic algorithms: The case of a highly constrained problem","authors":"Claire Duclos-Prévet, F. Guéna, Mariano Efron","doi":"10.1177/14780771221120577","DOIUrl":"https://doi.org/10.1177/14780771221120577","url":null,"abstract":"The use of genetic algorithms as generative and performance design techniques often involves, in practice, constraint handling, which can be a complex task. Moreover, environmental simulations are computationally expensive and managing constraints can avoid wasting time on infeasible solutions. Despite these two incentives, and the benefits of an immense literature, both applied and theorical, on constrained optimization, there are only few guidelines and tools directly applicable by architects to address this issue. This paper proposes to fill this gap by identifying, classifying, and implementing different constraint management techniques available to architects. Seven methods have been tested for a highly constrained envelope design problem, consisting in the optimization of a sun-shading system. Three of them are easily replicable to different types of projects while the four others need to find a problem-specific heuristic. It appears that the second category is more efficient but implies the use of generative techniques that are more difficult to implement than parametric models.","PeriodicalId":45139,"journal":{"name":"International Journal of Architectural Computing","volume":"20 1","pages":"587 - 609"},"PeriodicalIF":1.7,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49059549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

From evidence to assessment: Developing a scenario-based computational design algorithm to support informed decision-making in primary care clinic design workflow 从证据到评估:开发基于场景的计算设计算法，以支持初级保健诊所设计工作流中的知情决策

IF 1.7

International Journal of Architectural Computing Pub Date : 2022-09-01 DOI: 10.1177/14780771221121031

Raha M Rastegar, Sara Saghafi Moghaddam, Ramtin Haghnazar, C. Zimring

{"title":"From evidence to assessment: Developing a scenario-based computational design algorithm to support informed decision-making in primary care clinic design workflow","authors":"Raha M Rastegar, Sara Saghafi Moghaddam, Ramtin Haghnazar, C. Zimring","doi":"10.1177/14780771221121031","DOIUrl":"https://doi.org/10.1177/14780771221121031","url":null,"abstract":"This paper describes a method to tailor computational design algorithms to evaluate human-centric outputs in architectural projects by presenting a case study that evaluates teamwork affordance for primary care clinics. We argue that computational design assessment techniques fall short of evaluating those human experiences that stem from multiple interactions between individuals and the surrounding environment. This research suggests that future computational design algorithms could benefit from incorporating scenario-based methods developed in the field of evidence-based design, in which studies are concerned about improving qualitative goals. Through this case study, we describe the process of prototyping a computational design algorithm based on the Functional Scenario Analysis approach, applying the algorithm to evaluate case studies, visualizing findings, and extracting design strategies based on the analysis results. This method offers a new vision of how computational design can benefit informed decision-making processes and generate design alternatives aligned with a project’s design goals.","PeriodicalId":45139,"journal":{"name":"International Journal of Architectural Computing","volume":"20 1","pages":"567 - 586"},"PeriodicalIF":1.7,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43526036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Generating floor plans with deep learning: A cross-validation assessment over different dataset sizes 使用深度学习生成平面图：不同数据集大小的交叉验证评估

IF 1.7

International Journal of Architectural Computing Pub Date : 2022-09-01 DOI: 10.1177/14780771221120842

Ricardo C Rodrigues, R. Duarte

{"title":"Generating floor plans with deep learning: A cross-validation assessment over different dataset sizes","authors":"Ricardo C Rodrigues, R. Duarte","doi":"10.1177/14780771221120842","DOIUrl":"https://doi.org/10.1177/14780771221120842","url":null,"abstract":"The advent of deep learning has enabled a series of opportunities; one of them is the ability to tackle subjective factors on the floor plan design and make predictions though spatial semantic maps. Nonetheless, the amount available of data grows exponentially on a daily basis, in this sense, this research seeks to investigate deep generative methods of floor plan design and its relationship between data volume, with training time, quality and diversity in the outputs; in other words, what is the amount of data required to rapidly train models that return optimal results. In our research, we used a variation of the Conditional Generative Adversarial Network algorithm, that is, Pix2pix, and a dataset of approximately 80 thousand images to train 10 models and evaluate their performance through a series of computational metrics. The results show that the potential of this data-driven method depends not only on the diversity of the training set but also on the linearity of the distribution; therefore, high-dimensional datasets did not achieve good results. It is also concluded that models trained on small sets of data (800 images) may return excellent results if given the correct training instructions (Hyperparameters), but the best baseline to this generative task is in the mid-term, using around 20 to 30 thousand images with a linear distribution. Finally, it is presented standard guidelines for dataset design, and the impact of data curation along the entire process.","PeriodicalId":45139,"journal":{"name":"International Journal of Architectural Computing","volume":"20 1","pages":"630 - 644"},"PeriodicalIF":1.7,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44597724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A decision support model to evaluate liveability in the context of urban vibrancy 城市活力背景下评估宜居性的决策支持模型

IF 1.7

International Journal of Architectural Computing Pub Date : 2022-09-01 DOI: 10.1177/14780771221121500

Gülce Kirdar, G. Çağdaş

{"title":"A decision support model to evaluate liveability in the context of urban vibrancy","authors":"Gülce Kirdar, G. Çağdaş","doi":"10.1177/14780771221121500","DOIUrl":"https://doi.org/10.1177/14780771221121500","url":null,"abstract":"Liveability can be accepted as an umbrella term covering all the factors that make a place to live. We recognize the versatility of urban liveability and focus on the vibrancy aspect. Regarding the literature, we compile variables affecting urban liveability under the economic, image, and use value of place. This article aims to present a data-driven decision support system to evaluate different dimensions of vibrancy-focused liveability. We adopt a knowledge discovery process to handle the complexity of the liveability concept. This study develops a conditional-based relationship network of vibrancy parameters through the Bayesian Belief Network (BBN). Then, we assess the BBN's correlations with statistics and causal relations with the survey in this study.These results mostly agree with the findings of the relevant literature. The economic value results show that the high density, diversity and accessibility add a premium to the land value of properties. The use value results also demonstrate that the diversity and density of activities, cultural attributes, and high accessibility support place attractiveness. The selected streetscape variables improve image value, except for building enclosure and condition. The study has the potential for urban planners to vitalize neighborhoods by considering urban activities and urban physical attributes.","PeriodicalId":45139,"journal":{"name":"International Journal of Architectural Computing","volume":"20 1","pages":"528 - 552"},"PeriodicalIF":1.7,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45545366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Generative workplace and space planning in architectural practice 建筑实践中的生成性工作场所与空间规划

IF 1.7

International Journal of Architectural Computing Pub Date : 2022-09-01 DOI: 10.1177/14780771221120580

Victor Okhoya, Marcelo Bernal, A. Economou, Nirvik Saha, Robert Vaivodiss, T. Hong, J. Haymaker

引用次数: 3

Computational generation of a spatial layout through syntactical evaluation and multi-objective evolutionary optimization 基于句法评价和多目标进化优化的空间布局计算生成

IF 1.7

International Journal of Architectural Computing Pub Date : 2022-09-01 DOI: 10.1177/14780771221120576

Selen Çiçek, G. Turhan

{"title":"Computational generation of a spatial layout through syntactical evaluation and multi-objective evolutionary optimization","authors":"Selen Çiçek, G. Turhan","doi":"10.1177/14780771221120576","DOIUrl":"https://doi.org/10.1177/14780771221120576","url":null,"abstract":"The space layout problem encompasses challenges that rely on a diverse range of contexts regarding urban planning and architectural design, during the traditional design phases which require immense effort and time for the evaluation of the spatial elements’ characteristic needs. In order to eliminate the burden of considering all multidimensional design aspects at the same time, this research presents a three-bodied computational method for locating the spaces of the given architectural design program in a project site, according to the defined list of design objectives and criteria. Besides the determination of the layout according to the requirements of the spatial elements, this research proposes an integration of the space syntax theory’s analytical compounds in terms of Justified Graph Analysis and Integration Values as the fitness criteria for the multi-objective evolutionary optimization in the computational model. To satisfy the integrity levels of each various characterized element within site organization, that are implied inherently by the architectural design program and generate a sustainable space network layout for the project site.","PeriodicalId":45139,"journal":{"name":"International Journal of Architectural Computing","volume":"20 1","pages":"610 - 629"},"PeriodicalIF":1.7,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48914682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Designing Possibilities: Predictions and Projections 设计可能性：预测和预测

IF 1.7

International Journal of Architectural Computing Pub Date : 2022-09-01 DOI: 10.1177/14780771221121730

Paula Gómez, Frederico Braida, F. Lima, M. Loyola

引用次数: 0

Visualizing connections: University campus and social infrastructure 可视化连接：大学校园和社会基础设施

IF 1.7

International Journal of Architectural Computing Pub Date : 2022-08-27 DOI: 10.1177/14780771221120579

Luís H Pavan, Lucas Oliveira, Camila Mangrich, Gabriela Harthmann, J. Kós

{"title":"Visualizing connections: University campus and social infrastructure","authors":"Luís H Pavan, Lucas Oliveira, Camila Mangrich, Gabriela Harthmann, J. Kós","doi":"10.1177/14780771221120579","DOIUrl":"https://doi.org/10.1177/14780771221120579","url":null,"abstract":"As a social infrastructure, the material substrates of a campus intertwine with the sociabilities it supports. Intending to identify the integration potential between a Brazilian public university campus and its surrounding neighborhoods, we mapped the campus’ social infrastructures and identified through diagrammatic studies its morphological dimensions. Internet routers distributed on the university campus provided georeferenced data of the human dynamics on campus. Counting user connections in groups of access points, we obtained the population density of the potential social infrastructure use. Afterward, associating Wi-Fi data and typological information, we traced itineraries that connect these infrastructures. The results encompass a systemic view that highlights the campus’ potential to develop sociability within a complex service network. Furthermore, through new readings of the social infrastructures, we suggest alternative potential uses. These results highlight the hybrid methodologies that associate objective characteristics of the built environment with data-driven methodologies, such as Wi-Fi-generated datasets.","PeriodicalId":45139,"journal":{"name":"International Journal of Architectural Computing","volume":"20 1","pages":"553 - 566"},"PeriodicalIF":1.7,"publicationDate":"2022-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48169479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Computation for Architecture, hybrid visual and textual language: Research developments and considerations about the implementation of structural imperative and object-oriented paradigms 架构计算，混合视觉和文本语言:关于结构命令式和面向对象范式实现的研究进展和考虑

IF 1.7

International Journal of Architectural Computing Pub Date : 2022-08-18 DOI: 10.1177/14780771221121829

G. Henriques, Pedro Maciel Xavier, Victor de Luca Silva, Luca Rédua Bispo, João Victor Fraga

{"title":"Computation for Architecture, hybrid visual and textual language: Research developments and considerations about the implementation of structural imperative and object-oriented paradigms","authors":"G. Henriques, Pedro Maciel Xavier, Victor de Luca Silva, Luca Rédua Bispo, João Victor Fraga","doi":"10.1177/14780771221121829","DOIUrl":"https://doi.org/10.1177/14780771221121829","url":null,"abstract":"In the fourth industrial revolution, programming promises to be a fundamental subject like mathematics, science, languages or the arts. Architects design more than buildings developing innovative methods and they are among the pioneers in visual programming development. However, after more than 10 years of visual programming in architecture, despite the fast-learning curve, visual programming presents considerable limitations to solve complex problems. To overcome limitations, the authors propose to associate the advantages of visual and textual languages in Python. The article addresses an ongoing research study to implement Computational Methods in Architectural Education. The authors began by describing the general goal of this project, and of this article in particular. This article focuses on the implementation of two disciplines ‘Computation for Architecture in Python’ I and II. The first discipline uses programming based on the construction of functions in the imperative language, implemented in the text editor, in visual programming, using Grasshopper methods. The second discipline, which is under development, intends to teach object-oriented programming. The results of the first discipline are encouraging; despite reported difficulties in programming fundamentals, such as lists, loops and recursion. The development of the second discipline, in object-oriented programming, deals with the concepts of classes and objects, and more abstract principles such abstraction, inheritance, polymorphism or encapsulation. This paradigm allows building robust programs, but requires a more in-depth syntax. The article reports this ongoing research on this new paradigm of object-oriented language, expanding the application of a hybrid visual-textual language in Architecture.","PeriodicalId":45139,"journal":{"name":"International Journal of Architectural Computing","volume":"20 1","pages":"673 - 687"},"PeriodicalIF":1.7,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48115736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1