Additive Manufacturing in Construction (AMC) envisions a possible alternative for predominantly manual construction with various benefits. In addition to the well-known extrusion-based implementations of AMC, other techniques have been developed to meet various visual and functional requirement. However, the application of Additive Manufacturing (AM) into construction projects has to be carefully evaluated, especially during the early phases of architectural design when important decisions are made. From this point, this work devised an AMC-Oriented Design Decision Support System (DDSS) to identify suitable building components which can be manufactured with specific AM methods. In such a DDSS, knowledge base and decision-making strategy are both critical. To this end, principle of leveraging Semantic Web techniques and Multi-Criteria Decision Making (MCDM) methodologies will be addressed. At the current stage of our research, pre-printed building components using concrete material are considered during the decision support process.

Chao Li (*1988) is a doctoral candidate in the Chair of Architectural Informatics at the Technical University of Munich. He holds a master degree of Computer Engineering from the RWTH AACHEN University in the year of 2018. His research interests are Design Decision Support System, Building Information Modelling and Additive Manufacturing in Construction.

Prof. Dr. Ing. Frank Petzold (*1968) holds the Chair of Architectural Informatics at the Technical University of Munich. After completing his doctorate in 2001, he assumed the position of junior professor of architectural informatics in Weimar before being appointed full professor at the TUM’s Department of Architecture. Since 2017 he is an affiliate member of the Department of Informatics. He is spokesman of the Association of Architectural Informatics in German-speaking regions and a member of the German Association of Computing in Civil Engineering. Since last year Spokesman of the thematic platform “Digital Planning and Building” of the Bavarian State Government.

There has been a recent increase in the exploration of mereological systems, speculating on how digital design, assembly and reconfiguration of ”digital materials” (Gershenfeld, 2015) enables digitally informed physical worlds that change over time. Besides opportunities for construction and design automation, there is a potential to reimagine how multiple stakeholders can participate in the computational decision-making process, using the benefits of the ”mass customization of logistics” (Retsin, 2019). This paper presents a research-by-design project that applies a digital and discrete material system to high-rise housing in Hong Kong. The project has developed an integrated approach to design, construction, and inhabitation, using a system of ”discrete parts” which can be assembled in various apartment configurations, to incorporate varying occupant’s requirements and facilitate negotiations and changes over time.

Being an architectural designer, His work mainly focuses on creative and innovative potential of emergent computational approaches in design, architecture and art. Currently working in Zaha Hadid Architects and formerly worked in Aedas, Kelvin has been involved in architecture and interior design in diverse scales of built projects in Hong Kong, China, Philipine and Taiwan. Graduated from the CUHK with Master of Architecture degree, his keen enthusiasm in design has awarded him multiples international design awards and qualifications, including the World Architecture Community Awards, Clifford Chun-Fai Wong Prize in Housing Design and ARCASIA Thesis of the Year Gold Awards.

Jeroen van Ameijde is Assistant Professor at the School of Architecture, the Chinese University of Hong Kong, teaching and conducting research in architecture and urban design. He taught at the Architectural Association in London, The Bartlett, UCL, and the University of Pennsylvania, and has over ten years of experience as practicing architect, including as a director at Urban Systems Office. Jeroen’s research interests focus on the intersection between urban studies and urban design, and how the analysis and planning of social, cultural and economic activities can be guided through computational methods for urban analytics and data-driven design.

Spatial designers explore various design references in the design process. These design references significantly impact the quality of design outcomes and the process. Therefore, it is crucial to provide useful designs through the retrieval or generation process to spatial designers. To do this, a methodology must be developed to identify and quantify the floor plan’s multivariate design data. Through quantifying various design data, the retrieval and generation process can provide appropriate designs in many ways. This study proposed a new floor plan design framework for retrieval and generation with newly quantified design data. For validation of this framework, we conducted a floor plan retrieval and generation process. Newly quantified design data show usability in both processes. We also compare our framework with previous studies for validation. The comparison results show that our framework utilizes the most diverse design data of the floor plan.

Kihoon Son is a master’s course student in the Design informatics Lab of Hanyang University. He majored in interior architecture design and minored computer science when an undergraduate student. His research fields are Computational design and Human-computer interaction. Especially, Kihoon’s researches are focused on developing design systems and frameworks for an efficient design process. Also, Kihoon is very interested in supporting the designer’s mental model through human-computer interaction during the design process.

Kyung Hoon Hyun (Ph.D.) is a computational designer and researcher with interest in 1) Design Quantification & Automation; 2) Intelligent Design System; 3) Interaction Technique & Devices. He is an Assistant Professor in the Department of Interior Architecture Design of Hanyang University.

As Chinese cities entering a so-called ‘organic renewal’ era, building projects runs with much more constraints from high-density and high-rise surroundings. Such a situation makes the technical review in any urban planning bureau time-consuming and error-prone, which conflicts with the developer’s profits and citizen’s rights. This study introduces a preliminary system being developed for the planning bureau of Huangpu District, Shanghai. It has covered 21 code items among 44 computational ones of the local planning codes last year, which automatically generates technical reviews upon developer’s submissions. Due to the feasible level of BIM application in domestic projects, a set of strategic approaches, such as the standardization of CAD drawings and the reconstruction of an internal building information model, are adopted rather than developing the system on any BIM platform directly. Two examples of technical reviews about distance-checking between buildings and length-checking of facades are demonstrated, in which officers reached confidential judgments in seconds rather than several days conventionally.

Chengyu Sun graduated from Technische Universiteit Delft, where he got his doctor’s degree. He is an associate professor of Architecture and the executive vice-director of the Virtual Simulation Experiment Center. He specializes in design automation, visual reality, and artificial intelligence.

Mengting Li holds a bachelor’s in architecture from Tongji University and is studying for a master’s degree now. Her research topic is the computability analysis of the building design regulation and learns about automatic code checking.

Hanchen Jiang holds a bachelor’s degree in engineering from Dalian Jiaotong University and is studying for a master’s degree in architecture from Tongji University. His research direction is to explore the way of computer storage of building information and to understand architecture based on BIM for analysis, checking, and aided design.

This paper introduces a unique quantitative analysis method and results that are differentiated from those in existing studies. We analyzed five types of information in floor plan images: the silhouette, number of rooms, room area, and direct and indirect room connectivity.Furthermore, the analysis used a large-scale apartment unit dataset consisting of 33,892 units. We present convincing and objective spatial pattern analysis results of Korean apartments by quantitatively analyzing a large-scale dataset. It is expected that the analysis results will clarify the characteristics of the residential environment of Korean apartments. The results suggest that changes in lifestyles lead to the modularization of bedrooms, increased numbers of private bathrooms and balconies with corridors as junctions, and the diversification of room layouts.

Hoyoung Maeng is a Master’s student of Design Informatics Lab in the Department of Interior Architecture Design of Hanyang University (Advisor: Kyung Hoon Hyun).

Kyung Hoon Hyun (Ph.D.) is a computational designer and researcher with interest in 1) Design Quantification & Automation; 2) Intelligent Design System; 3) Interaction Technique & Devices. He is an Assistant Professor in the Department of Interior Architecture Design of Hanyang University.