Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
References

Hits 1 to 10 of 10

Reformat results as: short short into frame detailed detailed into frame

_id	caadria2022_114
id	caadria2022_114
authors	Dong, Zhiyong, Lin, Jinru, Wang, Siqi, Xu, Yijia, Xu, Jiaqi and Liu, Xiao
year	2022
title	Where Will Romance Occur, A New Prediction Method of Urban Love Map through Deep Learning
doi	https://doi.org/10.52842/conf.caadria.2022.1.213
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 213-222
summary	Romance awakens fond memories of the city. Finding out the relationship between romantic scene and urban morphology, and providing a prediction, can potentially facilitate the better urban design and urban life. Taking the Yangtze River Delta region of China as an example, this study aims to predict the distribution of romantic locations using deep learning based on multi-source data. Specifically, we use web crawlers to extract romance-related messages and geographic locations from social media platforms, and visualize them as romance heatmap. The urban environment and building features associated with romantic information are identified by Pearson correlation analysis and annotated in the city map. Then, both city labelled maps and romance heatmaps are fed into a Generative Adversarial Networks (GAN) as the training dataset to achieve final romance distribution predictions across regions for other cities. The ideal prediction results highlight the ability of deep learning techniques to quantify experience-based decision-making strategies that can be used in further research on urban design.
keywords	Romance Heatmap, Generative Adversarial Networks, Deep Learning, Big Data Analysis, Correlation Analysis, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_169
id	caadria2022_169
authors	Xu, Hang and Wang, Tsung-Hsien
year	2022
title	An Integrated Parametric Generation and Computational Workflow to Support Sustainable City Planning
doi	https://doi.org/10.52842/conf.caadria.2022.1.535
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 535-544
summary	To examine how efforts in the built environment can contribute to global climate change mitigation at the urban scale, urban building energy modelling (UBEM) is one of the research areas gaining increasing interest in recent years. However, limited studies systematically illustrate a comprehensive UBEM workflow for most architects and urban planners considering available public datasets, particularly at the early conceptual design phase. In current UBEM studies, major challenges arise from the lack of fine-grained measured urban data and incompatibility between software. To address these challenges and support future sustainable cities and communities, this paper proposed a streamlined computational workflow of UBEM to facilitate sustainable urban design development. Through a case study of Sheffield in the UK, this paper demonstrated an automated and standardised computational workflow that can test the decarbonisation potential in built environments by evaluating energy demand and supply scenarios at an urban scale. This workflow is envisaged to be applicable at various scales of an urban region given an appropriate geographic information system (GIS) dataset.
keywords	Parametric Design Generation, Urban Sustainability, Urban Building Energy Modelling, Building Performance Simulation, Renewable Energy, Decarbonisation, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_194
id	caadria2022_194
authors	Cheung, Ling Kit, Xu, Zhitao, Chen, Pei and Makki, Mohammed
year	2022
title	An Alternative Model for Urban Renewal: A Generative Approach to the (Re)-Development of Xian Village
doi	https://doi.org/10.52842/conf.caadria.2022.1.181
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 181-190
summary	The impact of urban renewal, specifically in countries experiencing rapid urbanisation due to population growth, has resulted in the erasure of urban culture and heritage in favour of repetitive homogeneity that has been synonymous with 20th century modernist planning models. One such region experiencing this rapid urban renewal is the Guangzhou region in southern China. The presented experiments examine Xian Village in Guangzhou, a culturally rich urban tissue currently experiencing redevelopment, and proposes an alternative model for urban renewal, employing a bottom-up approach to urban growth through the use of a multi-objective evolutionary model; presenting a model that integrates historic and existing urban characteristics adapted to future development plans.
keywords	China, Guangzhou, Xian Village, Village in the City, Urban Renewal, Cultural and Heritage Preservation, Multi-Objective Evolutionary Algorithm (MOEA), SDG 10, SDG 11, SDG 13
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_93
id	caadria2022_93
authors	Feng, Jiajia, Liang, Yuebing, Hao, Qi, Xu, Ke and Qiu, Waishan
year	2022
title	POI Data Versus Land Use Data, Which Are Most Effective in Modelling Theft Crimes?
doi	https://doi.org/10.52842/conf.caadria.2022.1.425
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 425-434
summary	Alleviating crime and improving urban safety is important for sustainable development of society. Prior studies have used either land use data or point-of-interests (POI) data to represent urban functions and investigate their associations with urban crime. However, inconsistent and even contrary results were yielded between land use and POI data. There is no agreement on which is more effective. To fill this gap, we systematically compare land use and POI data regarding their strength as well as the divergence and coherence in profiling urban functions for crime studies. Three categories of urban function features, namely the density, fraction, and diversity, are extracted from POI and land use data, respectively. Their global and local strength are compared using ordinary least square (OLS) regression and geographically weighted regression (GWR), with a case study of Beijing, China. The OLS results indicate that POI data generally outperforms land use data. The GWR models reveal that POI Density is superior to other indicators, especially in areas with concentrated commercial or public service facilities. Additionally, Land Use Fraction performs better for large-scale functional areas like green space and transportation hubs. This study provides important reference for city planners in selecting urban function indicators and modelling crimes.
keywords	POI, Land Use, Urban Functions, Theft crime, Predictive Power, SDG 16
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_490
id	caadria2022_490
authors	Li, Ce, Guo, Zhe, Cai, Chengzhi, Miao, Junyi, Cao, Xiaoyu, Li, Cong, Guo, Yefei, Cao, Qingning, Zheng, Zifei, Guo, Yuchen, Wu, Wanling, Xu, Zhiyan and Zhou, Xinyan
year	2022
title	Softness and Hardness: What Does Concrete Want? Concrete Physical Form Finding Based on Computational Combined Formwork
doi	https://doi.org/10.52842/conf.caadria.2022.2.233
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 233-242
summary	This project proposes a physical form finding design method by generating concrete flexible formwork through digital algorithm, which aims to explore the potential formal correlation between real material as the medium of transmitting information in physical space and virtual data, so as to discuss the autonomy and intelligence of material under the support of digital design technology. The first part of this paper first discusses the current situation of the application and development of concrete materials in the field of digital construction in recent years, and then studies the adaptability of flexible formwork to the flowable characteristics of concrete materials; Then, the second part puts forward the moulding method of concrete physical shape finding through flexible and rigid composite formwork, and tries to explore the influence of formwork shape under the control of digital algorithm on this process; The third part of the paper records the process of concrete moulding experiment under this method to discuss the internal relationship between the physical form of concrete and combined formwork.
keywords	Physical Form Finding, Textile Concrete Formwork, Material Attributes, Concrete Fabrication, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	architectural_intelligence2022_18
id	architectural_intelligence2022_18
authors	Wei Ye, Shuhua Chen, Xiayu Zhao & Weiguo Xu
year	2022
title	Porous space — biomimetic of tafoni in computational design
doi	https://doi.org/https://doi.org/10.1007/s44223-022-00019-4
source	Architectural Intelligence Journal
summary	Porous urban spaces not only improve interactions, but also increase natural ventilation. Weathered rocks are where porous spaces exist in nature. This paper investigates the biomimicry of tafoni, a type of weathered rock that contains pores of varying sizes. The formation of tafoni inspires architectural design, but its complex shape makes manual modeling challenging. The objective of studying the biomimetics of tafoni is to apply its benefits to design applications. Using biomimetic techniques, computation algorithms for tafoni morphogenesis are developed. This paper investigates the inherent characteristics of tafoni and reclassifies them based on architectural geometric elements. It then describes the reclassified tafoni and explains the formation process. This paper develops a 3D evolutionary algorithm and a 2.5D descriptive algorithm based on diagrams. After a comparison, the 2.5D algorithm is chosen because it is more controllable and operable for computational design. This paper also conducts experiments on the results obtained by the 2.5D algorithm to demonstrate its adaptability and architectural design application potential, as well as its application schemes in various design disciplines, including urban planning, architectural design, and landscape design. This paper proposes an algorithm that can be utilized in various fields of computational design. It is computationally efficient while retaining its biological form.
series	Architectural Intelligence
email
last changed	2025/01/09 15:00

_id	cdrf2022_110
id	cdrf2022_110
authors	Wei Ye, Xiayu Zhao, and Weiguo Xu
year	2022
title	Simulation Algorithm Based on Weathered Rock Morphology and Optimization Algorithm for Design Applications
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_10
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	The rich organic pore spaces of weathered rocks bring inspiration to architectural design. Based on the existing research on the natural formation mechanism of weathered rocks, this paper proposes two algorithms that achieve natural formation mechanism simulation and morphology simulation. Firstly, this study deeply explores the intrinsic characteristics of weathered rocks; secondly, the basic framework of iterative cyclic calculation by multiple weathering forces is built to make the calculation results of 3D point cloud close to the real morphology of weathered rocks; subsequently, this study innovatively introduces a 2D stacked layer algorithm for optimization while maintaining the morphological characteristics; finally, the architecture design application of the optimization algorithm is verified. Compared with the 3D point cloud simulation algorithm, the 2D layered algorithm can greatly reduce the computational time complexity and control the generated space's utilization.
series	cdrf
email
last changed	2024/05/29 14:02

_id	cdrf2022_14
id	cdrf2022_14
authors	Ximing Zhong, Fujia Yu, and Beichen Xu
year	2022
title	A Human–Machine Collaborative Building Spatial Layout Workflow Based on Spatial Adjacency Simulation
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_2
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	The space layout of a reasonable modular building prototype is a time consuming and complex process. Many studies have optimised automatic spatial layouts based on spatial adjacency simulation. Although machine-produced plans satisfy the adjacency and area constraints, people still need further manual modifications to meet other spatially complex design requirements. Motivated by this, we provide a human–machine collaborative design workflow that simulates the spatial adjacency relationship based on physical models. Compared with previous works, our workflow enhances the automated space layout process by allowing designers to use environment anchors to make decisions in automatic layout iterations. A case study is proposed to demonstrate that the solution generated by our workflow can initially complete different customised design tasks. The workflow combines the advantages of the designer's decision-making experience in manual modelling with the machine's ability in rapid automated layout. In the future, it has the potential to be developed into a designer-machine collaboration tool for completing complex building design tasks.
series	cdrf
email
last changed	2024/05/29 14:02

_id	cdrf2022_175
id	cdrf2022_175
authors	Xingzhao Zhang, Xinyu Wu, Luqiao Yang, Jiaqi Xu, Ruizhe Luo, and Jiawei Yao
year	2022
title	Effect of Morphological Indicators on the Pedestrian Level Wind of the Existing Workers Villages in Shanghai
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_15
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	The workers villages are typical residential type during Shanghai’s urbanization built from the 1950s to the 1980s. Due to changes in the urban environment and climatic circumstances, the workers villages have inadequate natural ventilation and difficulty in dispersing pollutants, putting residents’ health at risk. In the context of urban renewal, it is necessary to clarify the effect of building morphological indicators on pedestrian level wind, especially in such old residential communities. In this paper, 100 workers villages representatives were gathered by GIS. Their summer ventilation conditions were simulated using the CFD solving the LES turbulence equation. The correlation between 9 morphological indicators and 2 pedestrian level wind indicators was obtained quantitatively by Pearson analysis and regression analysis. The result shows increasing the building coverage of 0.94% in the workers villages, the ratio of the area of the static wind in summer will increase subsequently by 10%. The results highlight the importance of considering morphological indicators to enhance the wind environment, and provide suggestions for the environmental transformation of communities with similar characteristic in the high-density city.
series	cdrf
email
last changed	2024/05/29 14:02

_id	cdrf2022_314
id	cdrf2022_314
authors	Yuqian Li, Weiguo Xu, and Xingchen Liu
year	2022
title	Research on Architectural Generation Design of Specific Architect's Sketch Based on Image-To-Image Translation
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_28
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	Sketch is a way for architects to communicate with others. Architects record their own ideas through rapid drawing. However, sketches are abstract, vague, and even ambiguous. To this end, architects need to spend a lot of time, through modeling and other means, to present the architectural plan that can be understood by people. However, this method is time-consuming and laborious. Due to the development of deep learning technology, especially convolutional neural networks (CNN) and generative adversarial networks (GAN), they have shown great advantages in the field of image recognition and generation. With the help of these technologies, ambiguous architectural sketches can be directly transformed into architectural scheme drawings, and architects’ creative intentions can be continuously improved and developed, It will be very convenient and efficient. Therefore, based on the image-to-image translation, this paper realizes the mapping from architectural sketches to architectural scheme drawings with the help of CycleGAN. Through the analysis of the architectural generation design results of Frank Gehry's and Alberto Campo Baeza's architectural sketches, firstly, the feasibility of this method is verified. Secondly, it is found that this method can well complete the identification of sketch boundaries. In the generated scheme drawings, it can not only reflect the volume and lighting changes of the building, but also reflect the architect's creative intention and style to a large extent, The side reflects the cognitive ability of this method to architectural design.
series	cdrf
email
last changed	2024/05/29 14:02

No more hits.