Pub Date : 2023-12-28DOI: 10.1080/00038628.2023.2296489
Ahmet Bircan Atmaca, Gülay Zorer Gedik, Andreas Wagner, Marcel Schweiker
The abbreviated summary is below: Many thermal comfort models are based on the subjective perception of the users in the buildings. The models are created within some limitations and scope. This st...
{"title":"Comparison of different thermal comfort models: mosque and church cases","authors":"Ahmet Bircan Atmaca, Gülay Zorer Gedik, Andreas Wagner, Marcel Schweiker","doi":"10.1080/00038628.2023.2296489","DOIUrl":"https://doi.org/10.1080/00038628.2023.2296489","url":null,"abstract":"The abbreviated summary is below: Many thermal comfort models are based on the subjective perception of the users in the buildings. The models are created within some limitations and scope. This st...","PeriodicalId":47295,"journal":{"name":"Architectural Science Review","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139062288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-08DOI: 10.1080/00038628.2023.2290740
Sarath Raj, Geun Young Yun
{"title":"Influence of selection of rural reference area for quantifying the surface urban heat islands intensity in major South Korean cities","authors":"Sarath Raj, Geun Young Yun","doi":"10.1080/00038628.2023.2290740","DOIUrl":"https://doi.org/10.1080/00038628.2023.2290740","url":null,"abstract":"","PeriodicalId":47295,"journal":{"name":"Architectural Science Review","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138589277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.1080/00038628.2023.2288967
Omer Karadag, Nevset Gul Canakcioglu
This paper addresses challenges in teaching earthquake-resistant structural systems to architecture students and seeks to enhance efficiency. Developing a compatible teaching approach is crucial fo...
{"title":"Teaching earthquake-resistant structural systems in architecture department: a hands-on learning experience","authors":"Omer Karadag, Nevset Gul Canakcioglu","doi":"10.1080/00038628.2023.2288967","DOIUrl":"https://doi.org/10.1080/00038628.2023.2288967","url":null,"abstract":"This paper addresses challenges in teaching earthquake-resistant structural systems to architecture students and seeks to enhance efficiency. Developing a compatible teaching approach is crucial fo...","PeriodicalId":47295,"journal":{"name":"Architectural Science Review","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138505572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-23DOI: 10.1080/00038628.2023.2281401
Elena Vazquez, Christopher Willett
There is an critical need in kinetic envelope design to propose sustainable solutions that can adjust to changing outdoor conditions. Bistable composite laminates are compliant systems appealing fo...
{"title":"Characterization and modeling of bistable laminates for kinetic shading screens","authors":"Elena Vazquez, Christopher Willett","doi":"10.1080/00038628.2023.2281401","DOIUrl":"https://doi.org/10.1080/00038628.2023.2281401","url":null,"abstract":"There is an critical need in kinetic envelope design to propose sustainable solutions that can adjust to changing outdoor conditions. Bistable composite laminates are compliant systems appealing fo...","PeriodicalId":47295,"journal":{"name":"Architectural Science Review","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138505593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-16DOI: 10.1080/00038628.2023.2281411
Hardik H. Gajjar, Jai Devi Jeyaraman
This study evaluates the indoor thermal benefits of seven bricks, and their combination with cavity walls, Vertical Greening Systems (VGS), and Expanded Polystyrene (EPS) insulation in a semi-arid ...
{"title":"Assessment of different types of bricks in varying wall configurations in an indoor thermal environment for a semi-arid region","authors":"Hardik H. Gajjar, Jai Devi Jeyaraman","doi":"10.1080/00038628.2023.2281411","DOIUrl":"https://doi.org/10.1080/00038628.2023.2281411","url":null,"abstract":"This study evaluates the indoor thermal benefits of seven bricks, and their combination with cavity walls, Vertical Greening Systems (VGS), and Expanded Polystyrene (EPS) insulation in a semi-arid ...","PeriodicalId":47295,"journal":{"name":"Architectural Science Review","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138505544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-03DOI: 10.1080/00038628.2023.2278500
Seoung Beom Park, Jin-Ho Park, Sejung Jung
AbstractMachine learning models can potentially provide alternative options in the field of architecture as aesthetic judgment tools, owing to their high capacity and data-driven environments. If a machine learning model can produce aesthetic evaluation results similar to those of humans, the process may be highly promising for further applications in architectural decision-making. In this study, we propose a series of interconnected workflows for a rigorous comparison, including data collection, machine learning, parametric designs, robotic fabrication, and human surveys, to test the compatibility between human judgment and machine learning models in the aesthetic assessment of architectural objects on the same design objects. We observed a wide gap between the aesthetic judgments of the two groups. We discuss certain drawbacks and current limitations to improve the vulnerability of the study process and conclude by providing an outlook for the subsequent direction of a similar study.KEYWORDS: Deep learningTeachable Machineparametric designrobotic fabricationhuman judgement surveyaesthetic assessment Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe data that support the findings of this study are available from the corresponding author, upon reasonable request.Additional informationFundingThis study was supported by the Basic Science Research Program of the National Research Foundation of Korea (NRF), funded by the Ministry of Education (NRF-2021R1A2C1093869).
{"title":"Comparative aesthetic assessment of machine learning and human judgment for building wall designs","authors":"Seoung Beom Park, Jin-Ho Park, Sejung Jung","doi":"10.1080/00038628.2023.2278500","DOIUrl":"https://doi.org/10.1080/00038628.2023.2278500","url":null,"abstract":"AbstractMachine learning models can potentially provide alternative options in the field of architecture as aesthetic judgment tools, owing to their high capacity and data-driven environments. If a machine learning model can produce aesthetic evaluation results similar to those of humans, the process may be highly promising for further applications in architectural decision-making. In this study, we propose a series of interconnected workflows for a rigorous comparison, including data collection, machine learning, parametric designs, robotic fabrication, and human surveys, to test the compatibility between human judgment and machine learning models in the aesthetic assessment of architectural objects on the same design objects. We observed a wide gap between the aesthetic judgments of the two groups. We discuss certain drawbacks and current limitations to improve the vulnerability of the study process and conclude by providing an outlook for the subsequent direction of a similar study.KEYWORDS: Deep learningTeachable Machineparametric designrobotic fabricationhuman judgement surveyaesthetic assessment Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe data that support the findings of this study are available from the corresponding author, upon reasonable request.Additional informationFundingThis study was supported by the Basic Science Research Program of the National Research Foundation of Korea (NRF), funded by the Ministry of Education (NRF-2021R1A2C1093869).","PeriodicalId":47295,"journal":{"name":"Architectural Science Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135818783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1080/00038628.2023.2270983
Matteo Zallio, P. John Clarkson
Inclusive Design has been widely promoted in the fields of product, engineering, and user experience design. Despite the educational efforts made by scientists, practitioners, and institutions to raise awareness about accessibility and inclusion, Inclusive Design has not been widely embraced in architectural design practice, where it is often associated with design for disability. This multidisciplinary study, spanning behavioural science, ergonomics, and the social sciences of architecture, explores the challenges architectural design practitioners face when designing inclusively, and identifies opportunities to promote the adoption of Inclusive Design. The results of a questionnaire completed by 114 architectural design practitioners underscore the lack of client awareness of the benefits of inclusive design, highlight the important role practitioners can play in advocating for Inclusive Design, and emphasize the need to develop practices and tools that enhance the design and post-design phases of buildings to ensure inclusion, diversity, equity, and accessibility.
{"title":"A study to depict challenges and opportunities building industry professionals face when designing inclusive and accessible buildings","authors":"Matteo Zallio, P. John Clarkson","doi":"10.1080/00038628.2023.2270983","DOIUrl":"https://doi.org/10.1080/00038628.2023.2270983","url":null,"abstract":"Inclusive Design has been widely promoted in the fields of product, engineering, and user experience design. Despite the educational efforts made by scientists, practitioners, and institutions to raise awareness about accessibility and inclusion, Inclusive Design has not been widely embraced in architectural design practice, where it is often associated with design for disability. This multidisciplinary study, spanning behavioural science, ergonomics, and the social sciences of architecture, explores the challenges architectural design practitioners face when designing inclusively, and identifies opportunities to promote the adoption of Inclusive Design. The results of a questionnaire completed by 114 architectural design practitioners underscore the lack of client awareness of the benefits of inclusive design, highlight the important role practitioners can play in advocating for Inclusive Design, and emphasize the need to develop practices and tools that enhance the design and post-design phases of buildings to ensure inclusion, diversity, equity, and accessibility.","PeriodicalId":47295,"journal":{"name":"Architectural Science Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135272078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-31DOI: 10.1080/00038628.2023.2273836
Zheng Wang, Mark B. Luther, Antonis Siamas, Jane Matthews, Chunlu Liu
{"title":"Development and performance testing of a polyvalent heat pump for hot and cold water production","authors":"Zheng Wang, Mark B. Luther, Antonis Siamas, Jane Matthews, Chunlu Liu","doi":"10.1080/00038628.2023.2273836","DOIUrl":"https://doi.org/10.1080/00038628.2023.2273836","url":null,"abstract":"","PeriodicalId":47295,"journal":{"name":"Architectural Science Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135871025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-17DOI: 10.1080/00038628.2023.2269549
Asli Cekmis
AbstractRecent studies showed that deep learning techniques and image processing can identify the distinguishing design principles in architectural façades. However, predicting the strength of a principle is still a challenging task, as it requires a huge amount of annotated design variations. The difficulties in both searching such big numbers of data – and its labelling by experts – slow down the research. This paper proposes a computation approach for obtaining this type of data faster. With the help of parametric modelling and evolutionary algorithms, we could manipulate the design elements, and thereby generate different solutions. An integrated fuzzy logic decision mechanism could enable to carry human knowledge in the judging and labelling of alternatives automatically. The final synthetic data developed from real building images could be used for machine learning applications to enhance our understanding of artistic expression.KEYWORDS: Façade designVisual design principlesFuzzy LogicParametric modellingData generationAutomated labelling AcknowledgementThe author wishes to thank Sinem Kırkan and Tuğrul Agrikli for their valuable support in modelling and visualization parts. Thanks are due to the esteemed raters, whose profound expertise greatly enriched the verification phase. Lastly, the author would like to thank the anonymous reviewers for their constructive comments. The author received no financial support for the research, authorship and/or publication of this article.Disclosure statementNo potential conflict of interest was reported by the author(s).Data availabilityThe data that support the findings of this study are available from the corresponding author, Cekmis, A., upon reasonable request.
{"title":"Modelling the perception of visual design principles on façades through fuzzy sets: towards building an automated architectural data generation and labelling tool","authors":"Asli Cekmis","doi":"10.1080/00038628.2023.2269549","DOIUrl":"https://doi.org/10.1080/00038628.2023.2269549","url":null,"abstract":"AbstractRecent studies showed that deep learning techniques and image processing can identify the distinguishing design principles in architectural façades. However, predicting the strength of a principle is still a challenging task, as it requires a huge amount of annotated design variations. The difficulties in both searching such big numbers of data – and its labelling by experts – slow down the research. This paper proposes a computation approach for obtaining this type of data faster. With the help of parametric modelling and evolutionary algorithms, we could manipulate the design elements, and thereby generate different solutions. An integrated fuzzy logic decision mechanism could enable to carry human knowledge in the judging and labelling of alternatives automatically. The final synthetic data developed from real building images could be used for machine learning applications to enhance our understanding of artistic expression.KEYWORDS: Façade designVisual design principlesFuzzy LogicParametric modellingData generationAutomated labelling AcknowledgementThe author wishes to thank Sinem Kırkan and Tuğrul Agrikli for their valuable support in modelling and visualization parts. Thanks are due to the esteemed raters, whose profound expertise greatly enriched the verification phase. Lastly, the author would like to thank the anonymous reviewers for their constructive comments. The author received no financial support for the research, authorship and/or publication of this article.Disclosure statementNo potential conflict of interest was reported by the author(s).Data availabilityThe data that support the findings of this study are available from the corresponding author, Cekmis, A., upon reasonable request.","PeriodicalId":47295,"journal":{"name":"Architectural Science Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136032888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-03DOI: 10.1080/00038628.2023.2264822
Navid Khaleghimoghaddam
AbstractAs a significant variable related to individual differences, gender affects people’s attitudes and perceptions. The main concern of this study is to investigate the importance of gender in the architectural design process. To this end, it measures architectural perception using neuroscientific measurement tools such as fMRI and objectively examines how the brains of men and women respond to the built environment. A survey experiment was conducted to determine differences between the measurement of spatial features in men and women. The fMRI results showed a significant gender difference between the neural activation of the brain areas involved in architectural perception. In support of the brain imaging results, the survey experiment indicated that women perceive an architectural setting and its visual elements in greater detail than men. In contrast, men rate three-dimensional perception and mental visualization significantly better and pay more attention to it than women.KEYWORDS: Neurosciencearchitectural stimulibrain areasbrain activationgenderperceptionfMRI AcknowledgmentI would like to express my undying gratitude to all the volunteer participants who assisted me in this study.Disclosure statementNo potential conflict of interest was reported by the author(s).
{"title":"A neurological examination of gender differences in architectural perception","authors":"Navid Khaleghimoghaddam","doi":"10.1080/00038628.2023.2264822","DOIUrl":"https://doi.org/10.1080/00038628.2023.2264822","url":null,"abstract":"AbstractAs a significant variable related to individual differences, gender affects people’s attitudes and perceptions. The main concern of this study is to investigate the importance of gender in the architectural design process. To this end, it measures architectural perception using neuroscientific measurement tools such as fMRI and objectively examines how the brains of men and women respond to the built environment. A survey experiment was conducted to determine differences between the measurement of spatial features in men and women. The fMRI results showed a significant gender difference between the neural activation of the brain areas involved in architectural perception. In support of the brain imaging results, the survey experiment indicated that women perceive an architectural setting and its visual elements in greater detail than men. In contrast, men rate three-dimensional perception and mental visualization significantly better and pay more attention to it than women.KEYWORDS: Neurosciencearchitectural stimulibrain areasbrain activationgenderperceptionfMRI AcknowledgmentI would like to express my undying gratitude to all the volunteer participants who assisted me in this study.Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":47295,"journal":{"name":"Architectural Science Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135689809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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