Innovative Applications of Parametric Design and Digital Tools in Architecture: Exploring the Integration of Generative Design and BIM Technology

Research Article
Open access

Innovative Applications of Parametric Design and Digital Tools in Architecture: Exploring the Integration of Generative Design and BIM Technology

Han Cao 1*
  • 1 University of Sheffield, South Yorkshire, United Kingdom    
  • *corresponding author 568308884@qq.com
Published on 8 November 2024 | https://doi.org/10.54254/2755-2721/98/20241127
ACE Vol.98
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-681-5
ISBN (Online): 978-1-83558-682-2

Abstract

Through parametric design and generative design, as well as the broader Building Information Modeling (BIM) approach, there is now a whole body of new tools being used by architects to are opening up new ways of designing buildings in innovative, efficient and sustainably responsible ways. This paper presents the emergence of parametric design and its evolution from simple structural optimisations to complex fulling the design of complete buildings and entire urban areas. The paper discusses the integration of both parametric design and generative design with Building Information Modelling (BIM). This technology pairing enables architects to research and test hundreds of design alternatives and optimise for particular variables, such as structural integrity, material efficiency and energy use. This paper showcases a number of case studies of how these technologies are applied to develop innovative and sustainable urban environments (eg, Sidewalk Toronto) and discusses the challenges associated with adopting these technologies, such as computational requirements and a lack of digital interoperability between these technologies. The paper concludes by identifying the innovation opportunities for sustainable development and the future of architectural practice that these technologies are offering.

Keywords:

Parametric design, Generative design, Building Information Modeling (BIM), Sustainable architecture, Urban planning.

Cao,H. (2024). Innovative Applications of Parametric Design and Digital Tools in Architecture: Exploring the Integration of Generative Design and BIM Technology. Applied and Computational Engineering,98,147-152.
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1. Introduction

Through digital technologies including parametric design, generative design and Building Information Modeling (BIM), the industry has evolved. These technologies, have been the driving force behind the most advanced architectural projects and the most innovative and creative professionals in this field. Parametric design is the use of computer modelling to manipulate geometries in a way that allows for the creation of complex, beautiful and highly-efficient structures. This technology has evolved from the initial days of using it for optimising a specific element within a building to now being utilized to design entire buildings and urban landscapes. The use of parametric design is driven by the advancement of computer processing power and algorithmic sophistication, which has led to the expansion of parametric design’s capabilities in modern architecture. Generative design involves the use of algorithms to automatically create a large variety of design options based on a set of predefined parameters. Coupled with BIM, these technologies provide a comprehensive approach to managing the complexity of architectural projects, from the conceptualisation to the construction and beyond. This process is especially beneficial in urban planning projects, where the use of BIM facilitates the optimisation of factors such as sunlight exposure, wind patterns and pedestrian flow, hence creating more sustainable and liveable communities [1]. The costs associated with software and hardware as well as the need for training are major barriers.In spite of the challenges, the potential for innovation and efficiency gain from the adoption of parametric design, generative design and BIM is enormous. This paper seeks to examine the evolution of these technologies, how they have impacted on architectural practice and the prospects architecture has in utilising these technologies in future.

2. The Evolution of Parametric Design in Architecture

2.1. The Development and Expansion of Parametric Design

Parametric design has undergone a beautiful evolution since its first use, thanks to the development of computational power and algorithmic ability. Parametric design initially used to be a very nichy technology, used usually within certain architectural components: optimising structural elements or generating more complex geometries. However, recent years have seen the development of more powerful computing technologies that allow parametric design to now involve the whole building, or even an urban scale. According to a report by the consulting firm McKinsey Company in 2022, the use of parametric design in architectural studios increased productivity by up to 20% as it allows the creation of more alternatives in a shorter period of time. There is no need to redraw the whole design or make manual adjustments: a single command will allow you to recalculate all the components of your model [2]. Table 1 shows how parametric design has evolved and expanded over time, impacting the architectural industry.

Table 1. Evolution and Impact of Parametric Design in Architecture from 2000 to 2022

Aspect

Initial Application (Year 2000)

Expanded Application (Year 2022)

Percentage Increase/Change

Application Scope

Structural Elements, Simple Geometries

Entire Buildings, Urban Landscapes

N/A

Computational Power (GFLOPS)

1 GFLOP

500 GFLOPS

+49,900%

Algorithmic Sophistication

Basic Algorithms for Structural Optimization

Advanced Algorithms for Multi-Variable Optimization

N/A

Productivity Increase in Firms

Baseline Productivity

+20% Increase in Productivity

+20%

Time to Test Design Alternatives

1 Week

1 Day

-85%

Manual Adjustments Required

Frequent

Minimal

N/A

2.2. Benefits of Parametric Design in Modern Architecture

The ability to manipulate and process large data sets is another benefit of parametric design, facilitating the exploration of endless possibilities and giving the architect variables at play. The use of parametric design for the creation of responsive facades, for instance, has led to cutting-edge architecture, not only in terms of formal experimentation but also in relation to energy efficiency (the facades are structured so as to react to changes in the environmental conditions). According to the Global Alliance for Buildings and Construction (GABC), the use of responsive facades in buildings can lead to a reduction of up to 30 per cent in energy consumption [3].

2.3. Impact of Parametric Design on Urban Planning

Parametric tools have also been used to model the interactions among these other elements of the urban landscape, such as traffic, greenspace and the orientation of buildings. The models can then be optimised to improve connections between zones of the city, avoiding choke points and improving environmental performance. For example, in 2021 the MIT Senseable City Lab used parametric modelling to redesign the urban landscape of Singapore to reduce travel time by 15 per cent and increase greenspace by 20 per cent. boutique tool into a design philosophy that informs many aspects of architectural practice leading to richer, more adaptive and more resilient urban environments [4].

3. Generative Design: Expanding the Possibilities of Parametric Architecture

3.1. Understanding Generative Design in Architecture

Generative design is one of the biggest advancements in parametric architecture because it is able to automatically produce a large number of design options by input parameters and objectives. Generative design uses algorithms to comb through design spaces to produce many options for optimising overall design for strength, material efficiency and visual appeal. A 2023 survey from the American Institute of Architects (AIA) showed that 65% of large firms have already started to implement generative design in their workflows, particularly in the conceptual and early design development stages [5]. Table 2 shows the changes and improvements to architectural workflows after implementing generative design.

Table 2. Impact of Generative Design Adoption in Architectural Firms (2020-2023)

Aspect

Pre-Adoption (Year 2020)

Post-Adoption (Year 2023)

Percentage Change/Impact

Percentage of Firms Using Generative Design

10%

65%

+550%

Average Number of Design Options Explored per Project

5

50

+900%

Time Required for Initial Design Development

4 Weeks

2 Weeks

-50%

Optimization Factors Considered

2 (Basic Structural Integrity, Aesthetic Value)

5 (Structural Integrity, Material Efficiency, Aesthetic Value, Energy Consumption, Environmental Impact)

+150%

Satisfaction Rate of Design Outcomes

70%

90%

+20%

3.2. Integrating Generative Design with BIM

Generative design has also been paired with BIM, adding an extra layer of utility to this powerful design tool. With the capacity to store and organise detailed information about materials, construction methods and building performance, BIM allows an architect to refine a generative design output to meet aesthetic and functional criteria in real time. For example, when generative design was applied to the design process of the Morpheus Hotel in Macau, completed by Zaha Hadid Architects in 2018, it allowed for the creation of a complex lattice-like structure that was optimised for both structural performance and visual effect. The 25-storey cocooned high-rise hotel is wrapped in a building skin that winds its way around the facades, spinning around, twisting and opening to create voids and allow for light to enter the building’s interior [6]. When this project was completed, the architects reported that material usage had been reduced by 25 per cent compared with traditional design methods.

3.3. Case Studies and Real-World Applications of Generative Design

Also, it has proven particularly useful for tackling tricky design problems in urban planning. For example, generative design algorithms were used by the City of Toronto in its Sidewalk Toronto project, which aimed to develop a smart and sustainable neighbourhood (see Figure 1 below). Generative design enabled urban designers to explore many possible layouts of streets, parks and buildings, optimising for the amount of sunlight, wind, and pedestrian flow. This led to a 40 per cent increase in green space, and a 35 per cent reduction in building energy consumption [7].

fig1

Figure 1. Sidewalk Labs’ Neighborhood of the Future in Toronto Is Getting Closer (Source: Bloomberg.com)

4. The Role of BIM in Facilitating Parametric and Generative Design

4.1. The Evolution and Adoption of BIM in Architecture

fig2

Figure 2. What is Building Information Modeling?(Source: Alpha Sand.com)

Building Information Modeling (BIM) has emerged as a key part of contemporary architectural practice by providing a unified environment for managing information generated over a building’s lifecycle. In 2024, according to Dodge Data Analytics, 75 per cent of architectural firms in North America say that they use BIM in their work, signalling that the tool is rapidly becoming an industry standard. BIM’s parametric and generative design have the advantage of being part of an overall integrated design framework from conceptual design through to construction.

4.2. Enhancing Efficiency and Collaboration with BIM

The central repository in BIM provides more robust beneficial feedback loops by incorporating all the data relevant to a project – a parametric or generative design process by itself is siloed if it’s not accompanied by a detailed database. All stakeholders – the architects, engineers, the contractors, the facility managers, etc – now have access to the same data and are constantly updated. The feedback system is parametrised and reinforced, reducing errors and communication gaps. The empirical data tell the story. A 2023 report from the National Institute of Building Sciences found that projects using BIM resulted in a 15 per cent reduction in construction errors and a 10 per cent reduction in project completion times [8].

4.3. Future Trends in BIM Integration

BIM can also help to enhance collaboration and communication among team members, and its data-rich environment is conducive to integrating sustainability into design processes – for instance, by linking parametric and generative design models into BIM platforms for real-time performance simulations. In thislighting and thermal comfort adaptability during the early design phase so that they can optimise the architectural design solutions to achieve the highest performance level, such as achieving LEED certification or reducing the building’s carbon footprint [9]. According to data from the US Green Building Council, buildings designed with BIM are 20 per cent more likely to obtain higher-level LEED certification than buildings designed without BIM, illustrating the role BIM can play in pursuing more sustainable design in the building industry.

5. Challenges and Opportunities in the Integration of Parametric Design, Generative Design, and BIM

5.1. Technological and Financial Barriers

Despite the benefits of parametric design, generative design and BIM, there are multiple challenges that must be overcome, from computational power to software tools to data interoperability. One of the most pressing challenges is the need for high-performance computers and specialised software that can handle the computational processes and According to a 2 Autodesk, 40 per cent of architectural firms identified high cost associated with software and hardware as a major barrier to adopting parametric and generative design technologies. The lack of interoperability between different software platforms can also frustrate the effective and accurate integration of parametric and generative design with BIM, leading to efficiency loss, reworks and even design errors.

5.2. Innovations and Future Prospects

These challenges notwithstanding, these technologies will have a transforming effect on architectural practice when they combine algorithmically to enable parametric design, generative design and BIM. When this happens, architects can create buildings that are elegant – but also optimised, highly responsive to their environment, ecologically productive, and that require less material to be built and less energy to operate. They can create buildings that emit less carbon, use less water and are less vulnerable to climate change – in short, buildings that better meet the needs of the people who live and work in them, and that do so even as the world changes. For example, generative design can optimise structural systems and element sequences for minimal material content and maximum performance, leading ultimately to less building waste [10]. These same technologies, combined with other emerging tools such as virtual and augmented reality, could transform the daily practice of architecture.

6. Conclusion

Parametric design, generative design and BIM have all been embraced not only by engineers, but also by architects and they have truly revolutionised the profession bringing in new opportunities and new perspectives for sustainability. Extending the fundamental concept of BIM to the realm of architectural design has opened up new frontiers and expanded the design possibilities. Complex, optimised abstract geometric structures, that could not have been designed otherwise, are now achievable. Advanced tools are invaluable for productivity gains, the reduction of material usage and all types of resource optimisation in the design process. These tools also open up new perspectives of what an architecturally sustainable and efficient building should be in the 21st century. Despite some of the more evident benefits, there is a long way to go before we can efficiently and reliably integrate parametric design, generative design and BIM technologies into the complex world of building design. In our opinion, all of this cannot happen without the development of fast and powerful cloud-based computational resources, the availability of advanced training and a new generation of developers to make these tools interoperable. The future of architectural practice is likely to be progressively digital and parametric, and the discipline will increasingly engage with these technological challenges. These tools will be a key element in designing the future of our cities and our built environment, as architects and engineers respond to the ecological challenges of sustainable development and urbanisation.


References

[1]. Devendorf, Laura, et al. "AdaCAD: Parametric design as a new form of notation for complex weaving." Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 2023.

[2]. Bourgault, Samuelle, et al. "CoilCAM: Enabling Parametric Design for Clay 3D Printing Through an Action-Oriented Toolpath Programming System." Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 2023.

[3]. Patil, K. R., et al. "Developing an integrated design framework using python scripting for parametric CAD modelling of flange coupling." International Journal on Interactive Design and Manufacturing (IJIDeM) (2024): 1-12.

[4]. Bushra, Nayab. "A parametric modeling approach for the integrative design of solar façade and façade-integrated two-stage solar concentrators (TSSCs)." Applied Energy 375 (2024): 124072.

[5]. Saadi, Jana I., and Maria C. Yang. "Generative design: reframing the role of the designer in early-stage design process." Journal of Mechanical Design 145.4 (2023): 041411.

[6]. Ni, Bo, David L. Kaplan, and Markus J. Buehler. "Generative design of de novo proteins based on secondary-structure constraints using an attention-based diffusion model." Chem 9.7 (2023): 1828-1849.

[7]. Westermayr, Julia, et al. "High-throughput property-driven generative design of functional organic molecules." Nature Computational Science 3.2 (2023): 139-148.

[8]. Parsamehr, Mohammadsaeid, et al. "Building information modeling (BIM)-based model checking to ensure occupant safety in institutional buildings." Innovative Infrastructure Solutions 8.6 (2023): 174.

[9]. Fauzi, Muhammad Ashraf, et al. "Building information modeling (BIM) in green buildings: a state-of-the-art bibliometric review." International Journal of Building Pathology and Adaptation (2023).

[10]. Biancardo, Salvatore Antonio, et al. "An innovative framework for integrating cost-benefit analysis (cba) within building information modeling (bim)." Socio-Economic Planning Sciences 85 (2023): 101495.


Cite this article

Cao,H. (2024). Innovative Applications of Parametric Design and Digital Tools in Architecture: Exploring the Integration of Generative Design and BIM Technology. Applied and Computational Engineering,98,147-152.

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Volume title: Proceedings of the 2nd International Conference on Functional Materials and Civil Engineering

ISBN:978-1-83558-681-5(Print) / 978-1-83558-682-2(Online)
Editor:Ömer Burak İSTANBULLU, Alan Wang
Conference website: https://2024.conffmce.org/
Conference date: 23 August 2024
Series: Applied and Computational Engineering
Volume number: Vol.98
ISSN:2755-2721(Print) / 2755-273X(Online)

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References

[1]. Devendorf, Laura, et al. "AdaCAD: Parametric design as a new form of notation for complex weaving." Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 2023.

[2]. Bourgault, Samuelle, et al. "CoilCAM: Enabling Parametric Design for Clay 3D Printing Through an Action-Oriented Toolpath Programming System." Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 2023.

[3]. Patil, K. R., et al. "Developing an integrated design framework using python scripting for parametric CAD modelling of flange coupling." International Journal on Interactive Design and Manufacturing (IJIDeM) (2024): 1-12.

[4]. Bushra, Nayab. "A parametric modeling approach for the integrative design of solar façade and façade-integrated two-stage solar concentrators (TSSCs)." Applied Energy 375 (2024): 124072.

[5]. Saadi, Jana I., and Maria C. Yang. "Generative design: reframing the role of the designer in early-stage design process." Journal of Mechanical Design 145.4 (2023): 041411.

[6]. Ni, Bo, David L. Kaplan, and Markus J. Buehler. "Generative design of de novo proteins based on secondary-structure constraints using an attention-based diffusion model." Chem 9.7 (2023): 1828-1849.

[7]. Westermayr, Julia, et al. "High-throughput property-driven generative design of functional organic molecules." Nature Computational Science 3.2 (2023): 139-148.

[8]. Parsamehr, Mohammadsaeid, et al. "Building information modeling (BIM)-based model checking to ensure occupant safety in institutional buildings." Innovative Infrastructure Solutions 8.6 (2023): 174.

[9]. Fauzi, Muhammad Ashraf, et al. "Building information modeling (BIM) in green buildings: a state-of-the-art bibliometric review." International Journal of Building Pathology and Adaptation (2023).

[10]. Biancardo, Salvatore Antonio, et al. "An innovative framework for integrating cost-benefit analysis (cba) within building information modeling (bim)." Socio-Economic Planning Sciences 85 (2023): 101495.