259.551 Structural Design and Optimization through Artificial Intelligence based Applications

2024S, VU, 1.5h, 2.0EC



  • Semesterwochenstunden: 1.5
  • ECTS: 2.0
  • Typ: VU Vorlesung mit Übung
  • Format der Abhaltung: Online


Nach positiver Absolvierung der Lehrveranstaltung sind Studierende in der Lage...

  • develop parametric design systems
  • analyze their systems with Finite Element Analysis
  • optimize structural systems
  • parametrically control a KUKA robot
  • develop robotic fabrication paths
  • 3d print and control machine paths using GCODE

Inhalt der Lehrveranstaltung

Design usually follows a linear path from early conceptual developments to execution and fabrication. The digitalization of the design process enables the integration of simulation tools to the earlier stages of design, increasing the understanding of the designers on the structural behavior and design performance from early on. Consequently, the designers can easily access interdisciplinary knowledge and incorporate this in their design. Through this integration, a multi-scalar approach to design emerges. In this multi-scalar workflow, different aspects involving structural, environmental performance as well as fabrication constraints are considered in the initial phase of the design process.

This scientific course investigates this digital chain in order to motivate the students to develop interdisciplinary design thinking from design to production. Consequently, the students will learn to develop holistic design methods constructing feedback loops in between different stages of the design process. Along with the course, advanced simulation and optimization methods will be introduced to students to construct an interface between materialization and design. The main focus will be on the design for robotic assembly. The students will be asked to develop compression structures that can be robotically fabricated. The course tutors lay high importance on a holistic understanding of design and fabrication as a holistic process. Therefore presence is of high importance.


The general aim of the course is to establish a design laboratory, where the students will be exposed to scientific thinking in design through digital and analog experimentation techniques.



  • State of the Art in Structural Design
  • Innovative Material Applications in Architecture
  • Modern digital & analog Production Methods
  • Emergence in Design through the Application of strategies basing on methods of Artificial Intelligence
  • Alternative ways of computational design communication – methods of direct indirect parametrization


  • Advantage of Interdisciplinary Cooperation for Structural Optimization
  • Reports from Industrial Sector
  • Critical Understanding of Optimization Processes


  • Visual Coding of parametric Structural Designs
  • Analog Prototyping and Structural Analyzing
  • Multi scalar information processing from design to fabrication
  • Robotic steering and control
  • Advanced Simulation using Evolutionary Solvers and Machine Learning


  • Structural Design and Optimization
  • Material Testing



Vortragende Personen



  • physical prototyping
  • computational design skills
  • commitment
  • attendance
  • responsibility
  • self-initiative
  • teamwork


Nicht erforderlich


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Es wird kein Skriptum zur Lehrveranstaltung angeboten.


  • advanced Rhino/Grasshopper Skills
  • Computational Design Skills
  • basic knowledge in structural design

Begleitende Lehrveranstaltungen


bei Bedarf in Englisch