Frontiers of Architectural Research最新文献_第3页

A diffusion-based machine learning method for 3D architectural form-finding 一种基于扩散的三维建筑形式查找的机器学习方法

IF 3.6 1区艺术学

Frontiers of Architectural Research Pub Date : 2025-12-01 Epub Date: 2025-01-23 DOI: 10.1016/j.foar.2024.12.002

Hao Zheng

引用次数: 0

A new frontier in design studio: AI and human collaboration in conceptual design 设计工作室的新前沿：概念设计中的人工智能和人类合作

IF 3.6 1区艺术学

Frontiers of Architectural Research Pub Date : 2025-12-01 Epub Date: 2025-03-15 DOI: 10.1016/j.foar.2025.01.010

Derya Karadağ, Betül Ozar

{"title":"A new frontier in design studio: AI and human collaboration in conceptual design","authors":"Derya Karadağ, Betül Ozar","doi":"10.1016/j.foar.2025.01.010","DOIUrl":"10.1016/j.foar.2025.01.010","url":null,"abstract":"<div><div>This study explores the role of artificial intelligence (AI) in the conceptual design phase of interior design education, focusing on AI's potential to help students visualise and refine creative ideas. Conducted within a design studio course, the research integrates text-to-image generators, particularly Midjourney to support students' design processes. Implemented in the fourth week of a 14-week course, a structured workshop introduced students to Midjourney, with surveys conducted both at this stage and during the final submission to capture changes in student perspectives. Using a two-phase case study involving a workshop, surveys, and interviews among senior undergraduate students in the bachelor's program of the Interior Architecture and Environmental Design Department, the study assesses the impact of AI prompts, from simple keywords to detailed narratives, on concept development and project outcomes. Findings indicate that AI broadens design possibilities, facilitates iterative ideation, and improves conceptual precision through high-fidelity visualizations. While students view AI as a valuable addition to their creative process, they also express concerns about ethics and the need to balance AI's benefits with preserving design authenticity. This research contributes to the broader discussion on AI's role in design, advocating for a balanced integration that respects both technological potential and human creativity.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"14 6","pages":"Pages 1536-1550"},"PeriodicalIF":3.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145499901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Developing a bottom-up approach to assess energy challenges in urban residential buildings of China 开发一种自下而上的方法来评估中国城市住宅建筑的能源挑战

IF 3.6 1区艺术学

Frontiers of Architectural Research Pub Date : 2025-12-01 Epub Date: 2025-04-12 DOI: 10.1016/j.foar.2025.03.006

Dawei Xia , Zhuotong Wu , Yukai Zou , Ruijun Chen , Siwei Lou

{"title":"Developing a bottom-up approach to assess energy challenges in urban residential buildings of China","authors":"Dawei Xia , Zhuotong Wu , Yukai Zou , Ruijun Chen , Siwei Lou","doi":"10.1016/j.foar.2025.03.006","DOIUrl":"10.1016/j.foar.2025.03.006","url":null,"abstract":"<div><div>Accurate evaluation on residential energy demand is crucial for sustainable energy systems and urban development. Bottom-up approaches are reliable to capture the building energy characteristics. However, the existing bottom-up approaches require large volumes of high-quality residential building data, which are often inaccessible in developing countries like China. This study proposes a bottom-up approach based on prototype residential units to assess energy challenges in urban residential sector of China. By integrating data collection, variable selection, and K-prototype clustering analysis, the method identifies several residential prototypes that can be used for predictions on energy dynamic variation in residential sector. The proposed method is applied in Guangzhou, a major city in southern China, during heat wave events as a case study. The results indicate that both daytime and nighttime cooling loads in the residential sector are significant and should not be overlooked; peak hourly energy demand typically occurs at 7:00 a.m. and 9:00 p.m. The proposed approach provides a scalable framework for forecasting energy demand, supporting policy and urban planning to reduce consumption while enhancing resilience to extreme weather and understanding of energy challenges in China's urban residential sector.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"14 6","pages":"Pages 1810-1833"},"PeriodicalIF":3.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145499909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study on the spatiotemporal evolution of urban spatial structure in Nanjing's main urban area: A coupling study of POI and nighttime light data 南京主城区城市空间结构时空演化研究——基于POI和夜间灯光数据的耦合研究

IF 3.6 1区艺术学

Frontiers of Architectural Research Pub Date : 2025-12-01 Epub Date: 2025-04-24 DOI: 10.1016/j.foar.2025.03.007

Ge Shi , Jiahang Liu , Chang Yang , Quan An , Zhuang Tian , Chuang Chen , Jingran Zhang , Xinyu Li , Yunpeng Zhang , Jinghai Xu

{"title":"Study on the spatiotemporal evolution of urban spatial structure in Nanjing's main urban area: A coupling study of POI and nighttime light data","authors":"Ge Shi , Jiahang Liu , Chang Yang , Quan An , Zhuang Tian , Chuang Chen , Jingran Zhang , Xinyu Li , Yunpeng Zhang , Jinghai Xu","doi":"10.1016/j.foar.2025.03.007","DOIUrl":"10.1016/j.foar.2025.03.007","url":null,"abstract":"<div><div>The urban spatial structure reflects a city's development history, cultural heritage, and socio-economic conditions. A rational urban spatial structure is crucial for urban development. This study focuses on the main urban area of Nanjing, analyzing POI and nighttime light data from 2016 to 2020. Utilizing kernel density estimation and coupling coordination models, it explores the temporal and spatial evolution characteristics of Nanjing's urban spatial structure. Geographic detectors are employed to assess the impact of various factors on this structure. The findings indicate that: (1) Nanjing's urban spatial structure displays a pattern of central aggregation and peripheral expansion, with high brightness concentrated in the urban center and a significant increase in peripheral brightness, signaling initial success in establishing urban subcenters; (2) The coupling relationship between nighttime light brightness and POI density has strengthened, suggesting improved coordination of the urban spatial structure; (3) The evolution of Nanjing's urban spatial structure results from the combined effects of multiple factors, including economic level, population distribution, transportation conditions, and policy planning.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"14 6","pages":"Pages 1780-1793"},"PeriodicalIF":3.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145500421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Latent distribution: Measuring floor plan typicality with isovist representation learning 潜在分布：用等视表征学习测量平面图典型性

IF 3.6 1区艺术学

Frontiers of Architectural Research Pub Date : 2025-12-01 Epub Date: 2025-07-01 DOI: 10.1016/j.foar.2025.05.006

Mikhael Johanes, Jeffrey Huang

{"title":"Latent distribution: Measuring floor plan typicality with isovist representation learning","authors":"Mikhael Johanes, Jeffrey Huang","doi":"10.1016/j.foar.2025.05.006","DOIUrl":"10.1016/j.foar.2025.05.006","url":null,"abstract":"<div><div>The effectiveness of machine learning (ML) models for architectural applications relies on high-quality datasets balanced with advancements in model architecture and computational capacity. Current methods for evaluating architectural floor plan datasets typically depend on explicit semantic annotations, which limit their effectiveness and scalability when annotations are unavailable or inconsistent. To address this limitation, this research develops an isovist-based latent representation approach to quantitatively measure typicality and diversity within architectural datasets without relying on semantic labels. We introduce <em>Isovist Latent Norm Typicality</em>, a metric that leverages the statistical structure of latent representations derived from isovist morphological features using a variational autoencoder (VAE). This metric quantifies typicality by analyzing distributional shifts in latent representations between individual floor plans and a reference dataset using a modified Wasserstein distance. Experimental results demonstrate the approach's ability to distinguish typical from atypical floor plan configurations, capturing the morphological features that complement conventional metrics. Comparative analysis indicates that our method provides insights into spatial organization, correlating with conventional properties such as programmatic diversity and spatial openness. By quantifying typicality through purely morphological features, the proposed methodology facilitates dataset curation prior to costly semantic annotation, enhancing dataset quality and enabling scalability to more extensive and diverse architectural datasets.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"14 6","pages":"Pages 1585-1601"},"PeriodicalIF":3.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145499904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Between social and sustainable: A collaborative wood upcycling design process integrating AI and mixed reality tools 在社会和可持续之间：一个整合人工智能和混合现实工具的协同木材升级设计过程

IF 3.6 1区艺术学

Frontiers of Architectural Research Pub Date : 2025-12-01 Epub Date: 2025-09-20 DOI: 10.1016/j.foar.2025.08.010

Boyuan Yu , Jianing Luo , Kiwook Rha , Balsam Al-Hadithi , Zhiyong Li , Seohyeon Kim , Zijun Zhao , Yue Lu , Provides Ng

{"title":"Between social and sustainable: A collaborative wood upcycling design process integrating AI and mixed reality tools","authors":"Boyuan Yu , Jianing Luo , Kiwook Rha , Balsam Al-Hadithi , Zhiyong Li , Seohyeon Kim , Zijun Zhao , Yue Lu , Provides Ng","doi":"10.1016/j.foar.2025.08.010","DOIUrl":"10.1016/j.foar.2025.08.010","url":null,"abstract":"<div><div>The nature–culture divide, a longstanding conceptual separation between human beings and the natural environment, is increasingly challenged by the pressing need to address climate change. This urgency calls for design approaches that can synthesise social and sustainable aspects, creating environmental-user-centric solutions. Our study aimed to bridge this divide by exploring the integration of digital and human crafts, with a focus on wood upcycling furniture as a case study. It investigates the flow of design information, creating an interactive feedback loop between physical and digital domains. To ensure the workflow aligns with stakeholder needs, the study engages professionals interdisciplinarily, including designers, informaticists, and engineers, to collectively test and reflect on the process. The proposed pipeline was then compared with the collaborative pipeline that emerged, incorporating stakeholder perspective to refine the system design. The resulting workflow embraced 3D scanning, AI-driven design generation, VR user scenario simulation, and AR-assisted physical fabrication. The digital and physical furniture prototypes suggest new avenues for design informatics by synthesising objective mathematical decisions with subjective semiotic inputs. By exploring the integration of human and machine crafts in the co-creation process, the reflections contribute to sustainable urban and community construction (SDG 11), revealing potentials for scalability in architectural production.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"14 6","pages":"Pages 1681-1696"},"PeriodicalIF":3.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145499896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Drag2Build++: A drag-based 3D architectural mesh editing workflow based on differentiable surface modeling drag2build++：一个基于可微曲面建模的基于拖拽的3D建筑网格编辑工作流

IF 3.6 1区艺术学

Frontiers of Architectural Research Pub Date : 2025-12-01 Epub Date: 2025-09-05 DOI: 10.1016/j.foar.2025.07.005

Jun Yin , Pengyu Zeng , Peilin Li , Jing Zhong , Tianze Hao , Han Zheng , Shuai Lu

{"title":"Drag2Build++: A drag-based 3D architectural mesh editing workflow based on differentiable surface modeling","authors":"Jun Yin , Pengyu Zeng , Peilin Li , Jing Zhong , Tianze Hao , Han Zheng , Shuai Lu","doi":"10.1016/j.foar.2025.07.005","DOIUrl":"10.1016/j.foar.2025.07.005","url":null,"abstract":"<div><div>In modern architectural design, as complexity increases and diverse demands emerge, reconstructing 3D spaces has become a crucial method. However, existing methods remain limited to small-scale scenarios and exhibit poor reconstruction accuracy when applied to building-scale environments, resulting in unstable mesh quality and reduced design productivity. Furthermore, the lack of real-time, interactive editing tools prolongs design iteration cycles and impedes workflow efficiency. To address this issue, we propose the following contributions:</div><div>(1) We construct <strong>ArchiNet++</strong>, an architectural dataset that includes 710,180 multi-view images, 5200 SketchUp models, and corresponding camera parameters from the conceptual design phase of architectural projects.</div><div>(2) We introduce <strong>Drag2Build++</strong>, an interactive 3D mesh reconstruction framework featuring drag-based editing and three core innovations: a differentiable geometry module for fine-grained deformation, a 2D-3D rendering bridge for supervision, and a GAN-based refinement module for photorealistic texture synthesis.</div><div>(3) Comprehensive experiments demonstrate that our model excels in generating high-quality 3D meshes and enables rapid mesh editing via drag-based interactions. Furthermore, by incorporating textured mesh generation into this interactive workflow, it improves both efficiency and modeling flexibility.</div><div>We hope this combination can contribute to a more intuitive modeling process and offer a practical tool set that supports the digital transformation efforts within architectural design.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"14 6","pages":"Pages 1602-1620"},"PeriodicalIF":3.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145499905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of machine learning and genetic algorithms in environmental performance assessment and optimization of traditional Huizhou houses in China 机器学习与遗传算法在中国传统徽州房屋环境绩效评价与优化中的应用

IF 3.6 1区艺术学

Frontiers of Architectural Research Pub Date : 2025-12-01 Epub Date: 2025-03-24 DOI: 10.1016/j.foar.2025.02.002

Zhixin Xu , Xiangfeng Li , Chenhao Duan , Xiaoming Li , Nan Jiang , Xijia Sun , Fan Xie

{"title":"Application of machine learning and genetic algorithms in environmental performance assessment and optimization of traditional Huizhou houses in China","authors":"Zhixin Xu , Xiangfeng Li , Chenhao Duan , Xiaoming Li , Nan Jiang , Xijia Sun , Fan Xie","doi":"10.1016/j.foar.2025.02.002","DOIUrl":"10.1016/j.foar.2025.02.002","url":null,"abstract":"<div><div>China's rapid urbanization presents significant challenges for rural construction and resource management, often prioritizing economic gains over climate adaptability and energy efficiency. This study focuses on traditional Huizhou houses, integrating energy consumption and comfort analysis into the early design stages. Initial simulations using the Universal Thermal Climate Index (UTCI) established a baseline model for comparison. Through the Wallacei_X plugin, optimized designs achieved a 19.88% reduction in energy use intensity (EUI) and a 9.37% improvement in summer outdoor comfort (UTCI_H) compared to the baseline. Further analysis along the Pareto frontier using Scikit-learn demonstrated high predictive accuracy with XGBoost (<em>F</em><sub>1</sub> scores: 0.80 for 4-side houses, 0.78 for 3-side houses). To enhance interpretability, SHapley Additive exPlanations (SHAP) analysis explored nonlinear relationships between design variables and building performance, while coupling analysis examined the spatial relationships between houses and their environmental impact. In the final validation, the proposed workflow effectively linked building performance prediction with design optimization, achieving a 26% performance improvement over the original site plan. This integrated approach enables rapid performance evaluations, reduces costs, and provides practical design references. It highlights the potential of combining genetic algorithms and machine learning to drive sustainable rural development.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"14 6","pages":"Pages 1697-1726"},"PeriodicalIF":3.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145499910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A deep learning-based framework for intelligent modeling: From architectural sketch to 3D model 基于深度学习的智能建模框架：从建筑草图到3D模型

IF 3.6 1区艺术学

Frontiers of Architectural Research Pub Date : 2025-12-01 Epub Date: 2025-05-28 DOI: 10.1016/j.foar.2025.04.007

Yuqian Li , Weiguo Xu

{"title":"A deep learning-based framework for intelligent modeling: From architectural sketch to 3D model","authors":"Yuqian Li , Weiguo Xu","doi":"10.1016/j.foar.2025.04.007","DOIUrl":"10.1016/j.foar.2025.04.007","url":null,"abstract":"<div><div>This paper proposes a deep learning-based intelligent modeling framework for generating 3D architectural models from manual sketches, addressing the domain gap in 2D-to-3D transformation. By integrating architectural domain knowledge—specifically the phased, selective, and cyclic characteristics of the design process—the framework ensures a structured and iterative generative approach. The framework consists of a 2D design phase, where image retrieval, Stable Diffusion, and CycleGAN facilitate conceptual exploration, multi-scheme generation, and depth map extraction, and a 3D design phase, where Pixel2Mesh generates 3D forms, refined through Grasshopper-based parametric optimization. Empirical evaluation demonstrates that the framework effectively preserves structural fidelity while allowing for generative variations. Structural similarity and geometric accuracy metrics validate its performance, confirming its ability to balance AI-driven massing generation with architectural precision. A Mars habitat case study, conducted in an academic research setting, serves as a controlled experiment to assess adaptability. While demonstrating the framework's potential for AI-assisted architectural generation, the study also highlights the need for broader validation across diverse architectural typologies. This research bridges traditional and AI-driven design methodologies by integrating computer vision and generative models into architectural workflows. The proposed framework contributes to architectural design by introducing a cross-disciplinary approach that enhances the efficiency, quality, and innovation of design processes.</div></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"14 6","pages":"Pages 1567-1584"},"PeriodicalIF":3.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145499903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ArchiWeb: A web platform for AI-driven early-stage architectural design ArchiWeb：人工智能驱动的早期建筑设计的网络平台

IF 3.6 1区艺术学

Frontiers of Architectural Research Pub Date : 2025-12-01 Epub Date: 2025-07-11 DOI: 10.1016/j.foar.2025.06.002

Yichen Mo, Biao Li

引用次数: 0