International Journal of Architectural Computing最新文献_第3页

Cognitive Comparison of design methods in the conceptual phase 概念阶段设计方法的认知比较

IF 1.7

International Journal of Architectural Computing Pub Date : 2023-07-19 DOI: 10.1177/14780771231188474

Adel Gürel, Burcu Şenyapılı Ozcan

引用次数: 1

Estimating the received solar irradiances by traditional vaulted roofs using optimized neural networks and transfer learning 利用优化神经网络和迁移学习估算传统拱顶的太阳辐照度

International Journal of Architectural Computing Pub Date : 2023-06-27 DOI: 10.1177/14780771231186259

Mohammed Ayoub

{"title":"Estimating the received solar irradiances by traditional vaulted roofs using optimized neural networks and transfer learning","authors":"Mohammed Ayoub","doi":"10.1177/14780771231186259","DOIUrl":"https://doi.org/10.1177/14780771231186259","url":null,"abstract":"Traditional vaulted roof-forms have long been utilized in hot-desert climate for better indoor environmental quality. Unprecedently, this research investigates the possible contribution of machine learning to estimate the received solar irradiances by those roofs, based on simulation-derived training and testing datasets, where two algorithms were used to reduce their higher-dimensionality. Then, four models of ordinary least-squares and artificial neural networks were developed. Their ability to accurately estimate solar irradiances was confirmed, with R 2 of 95.599–98.794% and RMSE of 12.437–23.909 Wh/m 2 . Transfer Learning was also applied to pass the stored knowledge of the best-performing model into another one for estimating the performance of new roof-forms. The results demonstrated that transferred models could provide better estimations with R 2 of 87.416–97.889% and RMSE of 79.300–13.971 Wh/m 2 , compared to un-transferred models. Machine learning shall redefine the practice of building performance, providing architects with flexibility to rapidly make informed decisions during the early design stages.","PeriodicalId":45139,"journal":{"name":"International Journal of Architectural Computing","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135454461","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

Multi-approach integration of ALS and TLS point clouds for a 3-D building modeling at LoD3 用于LoD3三维建筑建模的ALS和TLS点云的多方法集成

IF 1.7

International Journal of Architectural Computing Pub Date : 2023-06-23 DOI: 10.1177/14780771231176029

Paulo Roberto da Silva Ruiz, C. Almeida, M. B. Schimalski, V. Liesenberg, E. Mitishita

{"title":"Multi-approach integration of ALS and TLS point clouds for a 3-D building modeling at LoD3","authors":"Paulo Roberto da Silva Ruiz, C. Almeida, M. B. Schimalski, V. Liesenberg, E. Mitishita","doi":"10.1177/14780771231176029","DOIUrl":"https://doi.org/10.1177/14780771231176029","url":null,"abstract":"Registering, documenting, updating, revitalizing, expanding, and renovating old urban buildings require proper documentation. The adoption of 3D survey techniques is essential to grant efficiency and agility to such purposes. This article discusses a multi-approach integration of Light Detection and Ranging (LiDAR) data collected by aerial and terrestrial platforms, meant for the 3D modeling of a building at Level of Detail 3. The selected building presents challenging elements for modeling, such as blocks with different heights and indented facades. It is located on the campus of the Federal University of Paraná (UFPR) in Curitiba, Brazil, on a site with irregular terrain and surrounded by trees, what made the terrestrial laser scanning process difficult. For its three-dimensional reconstruction, data from an Aerial Laser Scanning system were integrated with data from a Terrestrial Laser Scanner (TLS). Based on the 3D modeling, an as-is Building Information Modeling model of the building’s exterior was created. To validate the results, measurements of the building were obtained by means of an Electronic Distance Measurement (EDM) device and they were then compared with measurements extracted from the point cloud-based BIM model. The results demonstrate that there was a correspondence between the EDM and the LiDAR-derived measures, attaining a satisfactory statistical agreement. The article focuses on the accuracy of LiDAR models for the cadastral update of buildings, providing information for decision making in documentation projects and construction interventions. The main contribution of this work consists in a multi-approach workflow for delivering an effective and precise solution for accomplishing an as-is BIM documentation, highlighting advantages, drawbacks, and the potential of this set of methods for integrating multi-source LiDAR point clouds.","PeriodicalId":45139,"journal":{"name":"International Journal of Architectural Computing","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44138631","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: 2

Deterioration of pre-war and rehabilitation of post-war urbanscapes using generative adversarial networks 利用生成对抗网络研究战前城市景观的退化和战后城市景观的恢复

IF 1.7

International Journal of Architectural Computing Pub Date : 2023-06-08 DOI: 10.1177/14780771231181237

Selen Çiçek, G. Turhan, Aybüke Taşer

{"title":"Deterioration of pre-war and rehabilitation of post-war urbanscapes using generative adversarial networks","authors":"Selen Çiçek, G. Turhan, Aybüke Taşer","doi":"10.1177/14780771231181237","DOIUrl":"https://doi.org/10.1177/14780771231181237","url":null,"abstract":"The urban built environment of contemporary cities confronts a constant risk of deterioration due to natural or artificial reasons. Especially political aggression and war conflicts have significant destructive effects on architectural and cultural heritage buildings. The post-war urbanscapes demonstrate the striking effects of the armed conflicts during the hot war encounters. However, the residues of the urbanscapes become the actual indicators of damage and loss. Since today we can make future predictions using a variety of machine learning algorithms, it is possible to represent hybrid projections of urban heterotopias. In this context, this research proposes to explore dystopian post-war projections for modern cities based on their architectural styles and demonstrate the utopian scenarios of rehabilitation possibilities for the damaged urban built environment of post-war cities by using generative adversarial network (GAN) algorithms. Two primary datasets containing the post-war and pre-war building facades have been given as the input data for the CycleGAN and pix2pix GAN models. Thus, two different image-to-image GAN models have been compared regarding their ability to produce legible building facade projections in architectural features. Besides, the machine learning process results have been discussed in terms of cities’ utopian and dystopian future predictions, demonstrating the war conflicts’ immense effects on the built environment. Moreover, the immediate consequence of the destructive aggression on tangible and intangible architectural heritage would become visible to inhabitants and policymakers when the AI-generated rehabilitation potentials have been exposed.","PeriodicalId":45139,"journal":{"name":"International Journal of Architectural Computing","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46353094","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

Illumi’s world: A mini-game development with parametric BIM-based simulations Illumi的世界:一个基于参数化bim模拟的迷你游戏开发

IF 1.7

International Journal of Architectural Computing Pub Date : 2023-06-01 DOI: 10.1177/14780771231180256

Jong Bum Kim, D. Oprean, Laura B. Cole, Laura Zangori

引用次数: 0

More than anything: Advocating for synthetic architectures within large-scale language-image models 更重要的是:提倡大规模语言图像模型中的合成体系结构

IF 1.7

International Journal of Architectural Computing Pub Date : 2023-06-01 DOI: 10.1177/14780771231170455

Daniel Koehler

{"title":"More than anything: Advocating for synthetic architectures within large-scale language-image models","authors":"Daniel Koehler","doi":"10.1177/14780771231170455","DOIUrl":"https://doi.org/10.1177/14780771231170455","url":null,"abstract":"Large-scale language-image (LLI) models have the potential to open new forms of critical practice through architectural research. Their success enables designers to research within discourses that are profoundly connected to the built environment but did not previously have the resources to engage in spatial research. Although LLI models do not generate coherent building ensembles, they offer an esthetic experience of an AI infused design practice. This paper contextualizes diffusion models architecturally. Through a comparison of approaches to diffusion models in architecture, this paper outlines data-centric methods that allow architects to design critically using computation. The design of text-driven latent spaces extends the histories of typological design to synthetic environments including non-building data into an architectural space. More than synthesizing quantic ratios in various arrangements, the architect contributes by assessing new categorical differences into generated work. The architects’ creativity can elevate LLI models with a synthetic architecture, nonexistent in the data sets the models learned from.","PeriodicalId":45139,"journal":{"name":"International Journal of Architectural Computing","volume":"21 1","pages":"242 - 255"},"PeriodicalIF":1.7,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45748049","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

Clever little tricks: A socio-technical history of text-to-image generative models 聪明的小技巧:文本到图像生成模型的社会技术史

IF 1.7

International Journal of Architectural Computing Pub Date : 2023-06-01 DOI: 10.1177/14780771231168230

K. Steinfeld

{"title":"Clever little tricks: A socio-technical history of text-to-image generative models","authors":"K. Steinfeld","doi":"10.1177/14780771231168230","DOIUrl":"https://doi.org/10.1177/14780771231168230","url":null,"abstract":"The emergence of text-to-image generative models (e.g., Midjourney, DALL-E 2, Stable Diffusion) in the summer of 2022 impacted architectural visual culture suddenly, severely, and seemingly out of nowhere. To contextualize this phenomenon, this text offers a socio-technical history of text-to-image generative systems. Three moments in time, or “scenes,” are presented here: the first at the advent of AI in the middle of the last century; the second at the “reawakening” of a specific approach to machine learning at the turn of this century; the third that documents a rapid sequence of innovations, dubbed “clever little tricks,” that occurred across just 18 months. This final scene is the crux, and represents the first formal documentation of the recent history of a specific set of informal innovations. These innovations were produced by non-affiliated researchers and communities of creative contributors, and directly led to the technologies that so compellingly captured the architectural imagination in the summer of 2022. Across these scenes, we examine the technologies, application domains, infrastructures, social contexts, and practices that drive technical research and shape creative practice in this space.","PeriodicalId":45139,"journal":{"name":"International Journal of Architectural Computing","volume":"21 1","pages":"211 - 241"},"PeriodicalIF":1.7,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49218025","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

A generative computational workflow to develop actionable renovation strategies for renewable built environments: A case study of Sheffield 为可再生建筑环境制定可行翻新策略的生成计算工作流：以谢菲尔德为例

IF 1.7

International Journal of Architectural Computing Pub Date : 2023-05-29 DOI: 10.1177/14780771231180258

Hang Xu, Tsung-Hsien Wang

{"title":"A generative computational workflow to develop actionable renovation strategies for renewable built environments: A case study of Sheffield","authors":"Hang Xu, Tsung-Hsien Wang","doi":"10.1177/14780771231180258","DOIUrl":"https://doi.org/10.1177/14780771231180258","url":null,"abstract":"Urban building energy modelling (UBEM) is a prevalent research method to examine the multi-scale building to urban renovation in mitigating global energy-related carbon emissions. However, only a few studies delineate a complete workflow from generation to application using UBEM. In particular, to facilitate the designing of sustainable built environments, existing research needs to emphasize the integration of multi-scale energy performance evaluation within the design development process for architects and urban planners. The key challenges lie in the need for integrated datasets and incompatibility between software tools required for designing, modelling, and evaluation. This paper presents a comprehensive methodological framework to investigate applicable urban decarbonization strategies. A case study of Sheffield in the UK demonstrates the development of an automated and standardized computational workflow. This data-driven workflow aims to evaluate energy demand and supply scenarios at an urban scale to access the potential of decarbonizing built environments. The workflow is designed to be adaptable to various scales of urban regions, given a suitable geographic information system (GIS) dataset.","PeriodicalId":45139,"journal":{"name":"International Journal of Architectural Computing","volume":"21 1","pages":"516 - 535"},"PeriodicalIF":1.7,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49167078","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

Urban flood resilience in Kampung Melayu: A multi-objective evolutionary approach Kampung Melayu的城市抗洪能力:多目标进化方法

IF 1.7

International Journal of Architectural Computing Pub Date : 2023-05-29 DOI: 10.1177/14780771231177506

Kim Ricafort, Mohammed Makki

引用次数: 0

Exploring a circular economy solution space A comparative study to develop automated optimisation workflows supported by machine learning for circular design problems 探索循环经济解决方案空间开发由机器学习支持的循环设计问题自动化优化工作流程的比较研究

IF 1.7

International Journal of Architectural Computing Pub Date : 2023-05-26 DOI: 10.1177/14780771231177508

F. P. Ortner, J. Tay

{"title":"Exploring a circular economy solution space A comparative study to develop automated optimisation workflows supported by machine learning for circular design problems","authors":"F. P. Ortner, J. Tay","doi":"10.1177/14780771231177508","DOIUrl":"https://doi.org/10.1177/14780771231177508","url":null,"abstract":"Embedding circular economy (CE) principles in early design requires iterative evaluation across multiple lifecycle phases, with trade-offs between objectives complicating the identification of best solutions. This paper puts forward methods to automatically discover diverse, yet well-performing solution types within complex multi-objective CE design optimisation models. Working with a parametric model derived from a furniture design for CE case study, a comparison is made between weighted-sum single objective optimisation and multi-objective optimisation augmented with clustered solution types targeted by the reference point-based NSGA-II optimisation algorithm. Efficiency of optimisation, quality of results and distinctiveness of solution types presented by each method is compared in an effort to understand which will best assist designers to manage complexity in CE design. The generalisability of the presented methods to larger scale CE design problems is discussed and future areas of work on computational design for CE are extrapolated from the presented results.","PeriodicalId":45139,"journal":{"name":"International Journal of Architectural Computing","volume":"21 1","pages":"404 - 420"},"PeriodicalIF":1.7,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46010296","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