Recorded at CDFAM Computational Design Symposium, Berlin, 2024
Presenter: Rick Titulaer
Organization: ARUP
The renovation of the Santiago Bernabéu Stadium in Madrid has recently been completed. The stadium’s extensive history and renovation posed unique design challenges, particularly in addressing and analysing reflections caused by the new metallic façade. In response to this challenge, a computational design approach was employed to analyse over 682,000 different configurations, facilitating an informed data-driven decision-making process.
The case study details the methodology, workflow, and analysis process. It describes the generation of a parametric model of the façade elements and the use of sun path data and architectural context to assess glare. To manage the computational complexity, parallel computing was applied, and a custom script was utilized for the analysis. The outcomes of this data-driven approach revealed key areas of interest on the stadium’s façade and identified the most optimal angles to minimize glare. The study also highlights the rationalization process, including the use of Gaussian equations and number smoothening to create a smooth, glare-reducing surface. The final façade geometry was generated through iterative exploration, rationalization, and collaboration. This case study underscores the significance of data-driven computational design in overcoming complex design challenges, as demonstrated in the transformation of the Santiago Bernabéu Stadium’s façade.
The CDFAM Computational Design Symposium Series brings together leading experts from design, engineering, architecture, academia and software development for a series of knowledge sharing and networking events focusing on computational design at all scales.
The events are organized around two foundational frameworks: ‘Scales of Design’ and ‘Dimensions of Execution.’
SCALES OF DESIGN:
* Micro: Focus on material-level design considerations
* Meso: Exploration of metamaterials and structures
* Macro: Discussion on topology optimization, surface and parts
* Mega: Exploration of architectural scale system design methodologies
DIMENSIONS OF EXECUTION:
* Academic: Cutting-edge research in design science
* Algorithm: Software tools and algorithms enabling advanced design
* Application: Real-world engineering challenges addressed
* Automation: Scaling design to production for volume and mass customization
Through these frameworks, attendees will gain insights into how computational design principles and methodologies traverse across different scales and various execution contexts.
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