Textiles and architecture share a long, intertwined history from the earliest enclosures to contemporary high-tech tensile structures. In the Four Elements of Architecture, Gottfried Semper (2010) posited wickerwork and carpet enclosures to be the essential or...

Reuse of construction and demolition waste tends to be exceptional rather than systemic, despite the fact that such waste exists in excess. One of the challenges in handling used elements and materials is integrating them into a digital workflow through means ...

This paper provides a state-of-the-art of computational fluid dynamics (CFD) in the building industry. Two methods were used to find this new knowledge: a series of interviews with leading architecture, engineering, and software professionals; and a series of ...

Architects have long sought to create spaces that can relate to or even induce specific emotional conditions in their users, such as states of relaxation or engagement. Dynamic or calming qualities were given to these spaces by controlling form, perspective, l...

The worldwide lockdowns during the first wave of the COVID-19 pandemic had an immense effect on the public space. The events brought up an opportunity to redesign mobility plans, streets, and sidewalks, making cities more resilient and adaptable. This paper bu...

The reported research focuses on occupational density as an increasingly important architectural measure and uses occupancy simulation to optimize distancing criteria imposed by the COVID-19 pandemic. The paper addresses the following questions: How to engage ...

Globally, the built environment is inequitable. And while construction automation is often heralded as the solution to labor shortages and the housing crisis, such methods tend to focus on technology, neglecting the wider socioeconomic contexts. Automated Arch...

This paper explores the application of computer vision and machine learning to streetlevel imagery of cities, reevaluating past theory linking urban form to human perception. This paper further proposes a new method for design based on the resulting model, whe...

Active-Casting explores the use of bespoke computer numerical controlled (CNC) manufactured knits to produce volumetric textile formwork for casting glass-fiber-reinforced concrete (GFRC). As a collaboration between experts in architecture, textile fabrication...

In this paper, we propose a geometry-based generative design method to generate and optimize a floor structure with funicular building members. This method challenges the antiquated column system, which has been used for more than a century. By inputting the f...

This paper describes the computational design aspects of large-scale fiber composite tower structures that are fabricated using novel coreless filament winding processes. Current research on coreless filament winding has shown how high-performance composite ma...

This project proposes to implement space group symmetries as a novel descriptive framework for architectural assemblies. To date there is scant examination within architectural computation of this system used to describe the 230 unique configurations of symmet...

In this paper, we propose a Kinect-based Dynamic Anthropometric Modeling Interface (DAMI), built in Rhinoceros with Grasshopper for patient room layout optimization and nurse posture evaluations. Anthropometry is an important field that studies human body meas...

In this paper, we explore conditional generative adversarial networks (cGANs) as a new way of bridging the gap between design and analysis in contemporary architectural practice. By substituting analytical finite element analysis (FEA) modeling with cGAN predi...

What if any perceived risks of lost authorship and artistic control posed by a wholesale embrace of artificial intelligence by the architectural profession were instead opportunities? AI’s potential to automate design has been pursued for over 50 years, yet a...

This paper presents the design, control system, and elastic behavior of ELAbot: a robotic bending active textile hybrid (BATH) structure that can self-form and transform. In BATH structures, equilibrium emerges from interaction between tensile (form active) an...

This paper strives to interrogate the abilities of machine vision techniques based on a family of deep neural networks, called generative adversarial neural networks (GANs), to devise alternative planning solutions. The basis for these processes is a large dat...

The growing popularity of machine learning has provided new opportunities to predict certain behaviors precisely by utilizing big data. In this research, we use an image-based neural network to explore the relationship between the built environment and the act...