Computational Design: The Latest Architecture and News

The Advanced Master[1] “Design by Data” in Computation Design & Robotics for Architecture and Construction was launched in 2016 and is one of the latest programs in innovative professional education at l'École des Ponts ParisTech. The program was designed to meet the increasing need of the professional sectors of architecture and engineering for combining architectural awareness and skills in creative engineering. Design by Data trains professionals to master advanced design tools (coding, generative design, machine learning) as well as digital manufacturing and design processes (robotics, 3D printing, and mechatronics) applied to architectural and construction projects.

In a study recently published by AIA, less than 13% of architectural firms have incorporated building performance as part of their practice. With buildings contributing 40% of total carbon emissions leading to climate change, just 25 projects are roughly equivalent to planting 1 million trees each year. In addition to that, teams that are able to showcase data-driven and performance-driven decision-making and feature an energy analysis in every pursuit are able to increase fees and generate more revenue. Although integrating building performance sounds like a no-brainer, it proves to be difficult at many firms, because in addition to the practical changes, it requires a culture shift. That culture shift can only happen if the tools are easy to use, accurate, and mesh well with current workflows. Right now is the perfect time to tackle these culture changes due to a few reasons:

Today in the United States, buildings account for nearly 40% of carbon emissions (EESI) and 78% of electricity usage. The most sustainability-focused firms run energy simulations for less than 50% of their projects (10% for a typical firm) and only doing so late in the process when design changes are limited and insufficient to combat red flags found in the performance report (AIA 2030 report). We can make building performance widespread once we help the entire community discuss the subject in terms of investment and return. Especially during a project pursuit, since having the buy in from the whole team helps ensure the key project metrics are met. Owners are seeking out teams who are using actual metrics and data driven processes that affect their bottom line. This new approach to practice is what makes the younger teams’ standout and will benefit both the climate and the bottom-line. Here are 5 ways to talk about building performance in your project pursuits: 

In 2016, Ecole des Ponts ParisTech has established an advanced masters program with a focus on digital fabrication and robotics. Currently recruiting for its fourth installment, the Design by Data Advanced Masters Program appeals to architects, engineers, and tech-oriented designers. Since its launch in 2016, the program’s director Francesco Cingolani has sought to shape the relationship between architecture and technology by creating a cross-disciplinary culture between the two.

As previously mentioned on Archdaily, students study the main components of the program - computational design, digital culture and design, and additive manufacturing and robotic fabrication - throughout the 12-month program to fulfill Design by Data’s main objectives while working with peers in a dynamic learning environment. While providing each participant with both technical skills and an aesthetic eye, the program ensures students will also gain critical knowledge of current innovative trends and ongoing research. By exposing them to technology through hands-on use of tools of digital fabrication, the program will teach students to approach design through a process-oriented lens.

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Update: We've added a video of the process to the article!

This year's Architectural Association (AA) Summer DLAB program culminated in Weave.X, the final working prototype of three-dimensionally interwoven concrete structures. Designed and fabricated by 21 participants from 11 countries in July and August, the prototype explores computational design, geometry rationalization, material behavior, and robotic fabrication as applied to concrete and robotic rod-bending techniques. The result is a network of self-supporting concrete branches that envelop an amorphous enclosure.

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