AI-based Timber Construction Process Planning

IntCDC Associated Project 21 – AI-based Timber Construction Process Planning

INNOVATIVE AI-BASED SUSTAINABLE TIMBER CONSTRUCTION PROCESS PLANNING

Detailed digital modelling and optimisation of construction processes is a topic that has not yet been sufficiently explored. Such modelling requires innovative AI methods and is essential for digital, integrative, and resource-efficient construction planning that considers as many performance criteria as possible at an early stage. This project investigates and implements this modelling and AI-based optimisation using the multi-storey 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

the identification, adaptation and research of suitable new AI techniques,
appropriate software engineering modelling methods, and
expertise from the fields of architecture, engineering and construction.

A timber-based building system developed in IntCDC serves as an example for this research. In this way, the project builds a bridge between the Artificial Intelligence Software Academy and IntCDC: the project benefits from the challenges and new techniques in construction planning, and IntCDC benefits from the AI-driven construction process planning methods of KINaBau. The resulting software demonstrators and research data will be made publicly available.

PARTICIPATING RESEARCHERS

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

PEER-REVIEWED PUBLICATIONS

2023
1. Sherkat, S., Garmaroodi, A. A., Wortmann, A., & Wortmann, T. (2023). Residential complex design as a Constraint Satisfaction Problem. Automation in Construction, 154, 104995. https://doi.org/10.1016/j.autcon.2023.104995
  - BibTeX
  BibTeX
  @article{Sherkat_2023, author = {Sherkat, Shermin and Garmaroodi, Ali Andaji and Wortmann, Andreas and Wortmann, Thomas}, doi = {10.1016/j.autcon.2023.104995}, journal = {Automation in Construction}, month = {10}, pages = 104995, publisher = {Elsevier {BV}}, title = {Residential complex design as a Constraint Satisfaction Problem}, url = {https://doi.org/10.1016%2Fj.autcon.2023.104995}, volume = 154, year = 2023 }
2. Sherkat, S., Skoury, L., Wortmann, A., & Wortmann, T. (2023). Artificial Intelligence Automated Task Planning for Fabrication. In K. Dörfler, J. Knippers, A. Menges, S. Parascho, H. Pottmann, & T. Wortmann (Eds.), Advances in Architectural Geometry 2023 (pp. 249--260). De Gruyter. https://doi.org/doi:10.1515/9783111162683-019
  - BibTeX
  BibTeX
  @inbook{SherkatSkouryWortmannWortmann+2023+249+260, address = {Berlin, Boston}, author = {Sherkat, Shermin and Skoury, Lior and Wortmann, Andreas and Wortmann, Thomas}, booktitle = {Advances in Architectural Geometry 2023}, doi = {doi:10.1515/9783111162683-019}, editor = {Dörfler, Kathrin and Knippers, Jan and Menges, Achim and Parascho, Stefana and Pottmann, Helmut and Wortmann, Thomas}, isbn = {9783111162683}, pages = {249--260}, publisher = {De Gruyter}, title = {Artificial Intelligence Automated Task Planning for Fabrication}, url = {https://doi.org/10.1515/9783111162683-019}, year = 2023 }
2022
1. Sherkat, Shermin., Wortmann, Andreas., & Wortmann, Thomas. (2022). Potentials of Symbolic AI Planning for Construction. Forumbauinformatik. https://www.researchgate.net/publication/363481115_Potentials_of_Symbolic_AI_Planning_for_Construction
  - BibTeX
  BibTeX
  @conference{sherkat2022potentials, abstract = {AI planning aims to automate the reasoning process that underlies the plan formulation to achieve a particular goal for a particular problem. Research in this field has focused on symbolic methods -which represent knowledge with human readable symbols- to efficiently and systematically produce plans, i.e., sequences of actions to be performed, from well-defined problem statements. Despite advances in leveraging AI for construction planning and scheduling, most construction projects still adopt fully manual work templates. We outline the current state, challenges, and potentials of using symbolic AI in construction process planning. We first discuss the challenges in construction process planning. Then, we summarize potential applications of symbolic AI planning methods in the construction industry providing a resource for both practitioners and researchers to familiarize themselves with the potential of these powerful AI methods. }, author = {Sherkat, Shermin. and Wortmann, Andreas. and Wortmann, Thomas.}, ee = {http://dx.doi.org/10.1134/S036176881503007X}, groups = {public}, journal = {Forumbauinformatik}, title = {Potentials of Symbolic AI Planning for Construction}, url = {https://www.researchgate.net/publication/363481115_Potentials_of_Symbolic_AI_Planning_for_Construction}, username = {droessler}, year = 2022 }

Tenure-Track Prof. Dr. Andreas Wortmann

Associate Member

Phone: +49 711 685 84624

E-Mail

Tenure-Track Prof. Dr. Thomas Wortmann

Cluster Professor

Phone: +49 711 685 81933

E-Mail

PARTICIPATING RESEARCHERS

RESEARCHER

FUNDING

PEER-REVIEWED PUBLICATIONS

2023

BibTeX

BibTeX

2022

BibTeX

Tenure-Track Prof. Dr. Andreas Wortmann

Tenure-Track Prof. Dr. Thomas Wortmann

Audience

Formalities

Services

Organization

AI-based Timber Construction Process Planning

PARTICIPATING RESEARCHERS

RESEARCHER

FUNDING

PEER-REVIEWED PUBLICATIONS

2023

BibTeX

BibTeX

2022

BibTeX

Tenure-Track Prof. Dr. Andreas Wortmann

Tenure-Track Prof. Dr. Thomas Wortmann

Cluster of Excellence IntCDC

Audience

Formalities

Services

Organization