AI-based Timber Construction Process Planning

Associated Project 21 (AP 21)

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INNOVATIVE AI-BASED SUSTAINABLE TIMBER CONSTRUCTION PROCESS PLANNING

Detailed digital modeling and optimization of construction processes is a topic that is not yet sufficiently explored. Such modeling requires innovative AI methods and is essential for digital, integrative, and resource-saving construction planning that considers as many performance criteria as early as possible. This project examines and implements this modeling and AI-based optimization, using the multi-story timber system developed in IntCDC as an example.

This project develops methods for the application, adaptation, and combination of AI techniques for sustainable building process planning in timber construction. This development requires (1) the identification, adaptation, and research of suitable new AI techniques, (2) appropriate software engineering modeling methods, and (3) expertise from the architecture, engineering, and construction field. A timber-based building system developed in IntCDC serves as an example for this research. Thus, this project builds a bridge between the Artificial Intelligence Software Academy and IntCDC: This project benefits from challenges and new techniques in construction planning, and IntCDC from the AI-driven construction process planning methods of KINaBau. The resulting software demonstrators and research data will be made publicly available.

 

PRINCIPAL INVESTIGATORS

Tenure-Track Prof. Dr. Thomas Wortmann
Chair for Computing in Architecture, Institute for Computational Design and Construction (ICD), University of Stuttgart
Tenure-Track Prof. Dr. Andreas Wortmann
Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW), University of Stuttgart

RESEARCHER

Shermin Sherkat (ICD/ISW)

FUNDING

Cybervalley and Ministry for Science, Research and Art of the State of Baden-Württemberg

 

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