Research - Digital Technologies Section

Research Focus and Mission

The built environment is a complex system. It requires the understanding of different features, from physical properties to environmental, socio-cultural, economic aspects. Computational methods help to capture and understand such complexity to support designers and engineers, managers and governments, owners and users, among others. Our Research develops computational methods, techniques, and tools, and their use across scales from building components to urban districts. We can partner in digitalizing the built environment and foster digital innovation in architecture. Our design research bridges aspects of informatics, architectural engineering and spatial computation to enable performance-based design, and aims to achieve better performing buildings and built environments. Our geospatial research empowers the geo-information infrastructure to solve complex problems in the built environment and have a mission of achieving better spatial data acquisition and management. We work with various techniques of Computational Design, Parametric Modelling, nD Modelling and Visualisation, Digital Twins, Spatial Computing, Computational Optimisation and Computational Intelligence, Virtual Reality, Geographical Information Systems, Point Cloud Modelling, Web Cartography, Vario-scale Mapping, and Database Management Systems.

VR Lab

Do you want to use virtual reality (VR) for an immersive presentation of your project? Do you need a headset to conduct your research? Are you looking for tips to enhance your 3D workflows? Or are you just interested to learn more about the possibilities of VR and computational design? Students, researchers and professionals in the field of architecture and the built environment are welcome to visit or contact the VR Lab.

Geo-Database Management Center Lab

The Geo-Database Management Centre (GDMC) is the research and development centre for all activities related to the modelling, storage, retrieval, analysis, presentation and distribution of geo-information. Its core users are staff members of the TU Delft Digital Technologies sections. They mainly collaborate with (project) partners and thesis students from the MSc-tracks Geomatics and GIMA.

Lama Lab

LAMA is an additive manufacturing lab which focusses on additive manufacturing applications in Architecture. The lab is research driven and combines integrated multi-disciplinary, optimization and rationalization design techniques and methods with the additive manufacturing process in support of the build of the resulting formal complex optimized and rationalized designs.

MULTICARE

Multi- hazard low-carbon resilient technologies and multi-scale digital services for a future-proof, sustainable & user-centred built environment.

2024 - 2028

DATALESs

Integrating thousands of controllable elements in LESs and green buildings into traditional control or optimization frameworks while still guaranteeing optimal system-level objectives

2022 - 2026

ND-POINTCLOUDS

A MODEL FOR DEEPLY INTEGRATING SPACE, TIME, AND SCALE. Novel massive multi-dimensional point cloud data sets, time and added information representing space.

2022 - 2025

3D LAND ADMINISTRATION

The registration of the legal status in complex 3D situations will be investigated under the header of 3D Cadastres.

2018 - 2025

WOOD WITHOUT TREES RESEARCH PROJECT

The on-going Wood Without Trees project studies a solution to upcycle both components into a fully biobased material for additive manufacturing.

2022

HANDZone

HANDZONe is a Hybrid Learning Environment developed to support education on robotics, specifically within architecture and built environment studies.

2022 - 2024

Amin Jalilzadeh

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Yingwen Yu

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Feras Alsaggaf

Dementia-Friendly Wayfinding Quality Assessment Using Machine Learning. A machine Learning Assessment Tool for Indoor Wayfinding Quality in Dementia Care Spaces.

Lotte Kat

Visual Comfort L(AI)outs - A framework for daylight and view guidance during the early layout design process.

Jamal van Kastel

Visual Analytics for Generative Design Exploration: An interactive 3D data environment for a computational design system facilitating the performance-driven design process of a nearly Zero-Energy sports hall

Lisa-Marie Mueller

3D Generative Adversarial Networks to Autonomously Generate Building Geometry

Amy Sterrenberg

Deep Generative Truss Structures - A Deep Learning Framework for Optimized Spatial Truss Structures with Stock Constraints

Stella Pavlidou

Deep Generative shell Structure Designs - Deep Learning Framework for Optimized Shell Structures

Sebastian Stripp

ClimAIte Control - Improving Building Operation Through AI.

Namrata Baruah

Integrated bio-inspired Design by AI - Using cell structure patterns to train an AI model to explore topology design ideas.

REPRINTING ARCHITECTURAL HERITAGE

A pilot study was proposed includes high-definition scanning and 3D printing of a heritage structure at the building scale.

January 2017 - March 2018

TERRA-ink

TERRA-ink aimed at developing a method for layering local soil, by implementing 3D printing technologies.

2017 - 2018

Double Face 2.0

Double Face 2.0 is a novel solar wall, joining a strong design identity and high technical performances.

2016 - 2018

Spong3D

This research investigated the potentials of Additive Manufacturing porous structures for thermal performances, and more specifically thermal insulation and heat storage.

2016 - 2017

ADAM - OPEN TECHNOLOGIEPROGRAMMA NWO

A new cutting-edge acoustic device is proposed that regulates its performance by its geometrical characteristics based on interference principles.

January 2015 - December 2018

Computational Design for Sport Buildings

The project deals with the concept of Multi-objective Multidisciplinary design optimization techniques to support trade-off decisions between multiple conflicting design objectives

2014 - 2016

DOUBLEFACE 4TU LIGHTHOUSE PROJECT

The project designed and prototyped a modular system for adjustable translucent thermal mass, based on an innovative (digital) approach to thermal principles of trombe walls.

July 2014 - Feb. 2015