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Integrative Computational Design and Construction for Architecture (T3.0)
Research
Research Projects
RP 21-1 –Modular Data Architecture for Conceptual Design

Modular Data Architecture for Preparation, Annotation and Exchange for Conceptual Design

Research Project 21-1 (RP 21-1)

MODULAR DATA ARCHITECTURE FOR PREPARATION, ANNOTATION AND EXCHANGE FOR CONCEPTUAL DESIGN

This project supports Co-Design by addressing the interoperability challenge posed by heterogeneous computational workflows in interdisciplinary building projects. This interoperability challenge arises from monolithic software architectures in the architecture, engineering and construction industry that bundle different functions together but are incompatible with other software, such as building information modelling software. To explore and evaluate an alternative software architecture, this project will develop a suite of microservices (i.e. composable functions) that not only abstract the data flows of architectural design processes, but also allow reciprocal feedback by incorporating downstream data from prefabrication and assembly, thus enabling more seamless Co-Design. The work programme will assess the data exchange requirements in IntCDC with respect to multi-storey timber construction, design a microservice-based architecture including abstracted manipulations and incorporating annotations to support this data exchange, develop and implement this architecture and evaluate it quantitatively and qualitatively.

PRINCIPAL INVESTIGATORS

Prof. Dr. Melanie Herschel
Institute for Parallel and Distributed Systems (IPVS), University of Stuttgart
Tenure-Track Prof. Dr. Thomas Wortmann
Institute for Computational Design and Construction (ICD-CA), University of Stuttgart

TEAM

Lior Skoury (ICD)

PEER-REVIEWED PUBLICATIONS

2024
1. Skoury, L., Leder, S., Menges, A., & Wortmann, T. (2024). Digital twin architecture for the AEC Industry : A case study in collective robotic construction. https://doi.org/10.1145/3652620.3688255
  - BibTeX
  BibTeX
  @conference{skoury2024digital, author = {Skoury, Lior and Leder, Samuel and Menges, Achim and Wortmann, Thomas}, doi = {10.1145/3652620.3688255}, title = {Digital twin architecture for the AEC Industry : A case study in collective robotic construction}, year = 2024 }
2. Skoury, L., Treml, S., Opgenorth, N., Amtsberg, F., Wagner, H. J., Menges, A., & Wortmann, T. (2024). Towards data-informed co-design in digital fabrication. Automation in Construction, 158, 105229. https://doi.org/10.1016/j.autcon.2023.105229
  - BibTeX
  BibTeX
  @article{Skoury_2024, author = {Skoury, Lior and Treml, Simon and Opgenorth, Nils and Amtsberg, Felix and Wagner, Hans Jakob and Menges, Achim and Wortmann, Thomas}, doi = {10.1016/j.autcon.2023.105229}, issn = {0926-5805}, journal = {Automation in Construction}, month = {02}, pages = 105229, publisher = {Elsevier BV}, title = {Towards data-informed co-design in digital fabrication}, url = {http://dx.doi.org/10.1016/j.autcon.2023.105229}, volume = 158, year = 2024 }
3. Skoury, L., & Wortmann, T. (2024). Prediction Models for Co-Design in Industry 4.0. In P. Eversmann, C. Gengnagel, J. Lienhard, M. Ramsgaard Thomsen, & J. Wurm (Eds.), Scalable Disruptors. DMS 2024 (Proceedings of the Design Modelling Symposium 2024) (pp. 507–519). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-68275-9_41
  - BibTeX
  BibTeX
  @conference{skoury2024bridging, abstract = {In the realm of Industry 4.0, significant changes have unfolded across various sectors, notably in construction, driven by the adoption of digitisation and automation. This transformation demands a reassessment of traditional practices within the Architectural, Engineering, and Construction (AEC) industry. In response, the concept of Co-Design has emerged, offering a promising avenue to integrate diverse expertise and stakeholders throughout the construction process. This study explores the fusion of Co-Design principles with ML techniques to elevate fabrication processes and project outcomes within the AEC industry. The research introduces a workflow that intertwines design, fabrication, and data analysis by implementing a fabrication prediction ML model. By harnessing real-world data from timber additive construction processes, the model is trained to predict task durations accurately. This not only tackles the inherent complexities of fabrication processes but also provides flexibility across different design scenarios and fabrication environments. Through systematic evaluation and testing, the study identifies the most effective ML algorithms for predicting fabrication times. Furthermore, it showcases the practical application of the prediction model in optimising fabrication setups, ultimately resulting in tangible enhancements in efficiency and productivity.}, author = {Skoury, Lior and Wortmann, Thomas}, booktitle = {Scalable Disruptors. DMS 2024 (Proceedings of the Design Modelling Symposium 2024)}, doi = {10.1007/978-3-031-68275-9_41}, editor = {Eversmann, Philipp and Gengnagel, Christoph and Lienhard, Julian and Ramsgaard Thomsen, Mette and Wurm, Jan}, eventdate = {16. — 18. September 2024}, eventtitle = {DESIGN MODELLING SYMPOSIUM KASSEL 2024 – SCALABLE DISRUPTORS}, isbn = {978-3-031-68274-2 978-3-031-68275-9}, pages = {507-519}, publisher = {Springer Nature Switzerland}, title = {Prediction Models for Co-Design in Industry 4.0}, url = {https://link.springer.com/10.1007/978-3-031-68275-9_41}, venue = {University of Kassel, Germany}, year = 2024 }
4. Skoury, L., & Wortmann, T. (2024). Bridging the Gap between Design and Fabrication: Prediction Models for Co-Design in the Era of Industry 4.0. In P. Eversmann, C. Gengnagel, J. Lienhard, M. Ramsgaard Thomsen, & J. Wurm (Eds.), Scalable Disruptors. DMS 2024 (Proceedings of the Design Modelling Symposium 2024) (pp. 507–519). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-68275-9_41
  - BibTeX
  BibTeX
  @conference{skoury2024bridging, abstract = {In the realm of Industry 4.0, significant changes have unfolded across various sectors, notably in construction, driven by the adoption of digitisation and automation. This transformation demands a reassessment of traditional practices within the Architectural, Engineering, and Construction (AEC) industry. In response, the concept of Co-Design has emerged, offering a promising avenue to integrate diverse expertise and stakeholders throughout the construction process. This study explores the fusion of Co-Design principles with ML techniques to elevate fabrication processes and project outcomes within the AEC industry. The research introduces a workflow that intertwines design, fabrication, and data analysis by implementing a fabrication prediction ML model. By harnessing real-world data from timber additive construction processes, the model is trained to predict task durations accurately. This not only tackles the inherent complexities of fabrication processes but also provides flexibility across different design scenarios and fabrication environments. Through systematic evaluation and testing, the study identifies the most effective ML algorithms for predicting fabrication times. Furthermore, it showcases the practical application of the prediction model in optimising fabrication setups, ultimately resulting in tangible enhancements in efficiency and productivity.}, author = {Skoury, Lior and Wortmann, Thomas}, booktitle = {Scalable Disruptors. DMS 2024 (Proceedings of the Design Modelling Symposium 2024)}, doi = {10.1007/978-3-031-68275-9_41}, editor = {Eversmann, Philipp and Gengnagel, Christoph and Lienhard, Julian and Ramsgaard Thomsen, Mette and Wurm, Jan}, eventdate = {16. — 18. September 2024}, eventtitle = {DESIGN MODELLING SYMPOSIUM KASSEL 2024 – SCALABLE DISRUPTORS}, isbn = {978-3-031-68274-2 978-3-031-68275-9}, pages = {507-519}, publisher = {Springer Nature Switzerland}, title = {Bridging the Gap between Design and Fabrication: Prediction Models for Co-Design in the Era of Industry 4.0}, url = {https://link.springer.com/10.1007/978-3-031-68275-9_41}, venue = {University of Kassel, Germany}, year = 2024 }
2023
1. Amtsberg, F., Yang, X., Skoury, L., Ron, G., Kaiser, B., Calepso, A. S., Sedlmair, M., Verl, A., Wortmann, T., & Menges, A. (2023). Multi-Akteur-Fabrikation im Bauwesen. Bautechnik, 100(10), Article 10. https://doi.org/10.1002/bate.202300070
  - BibTeX
  BibTeX
  @article{Amtsberg_2023, author = {Amtsberg, Felix and Yang, Xiliu and Skoury, Lior and Ron, Gili and Kaiser, Benjamin and Calepso, Aim{\'{e}}e Sousa and Sedlmair, Michael and Verl, Alexander and Wortmann, Thomas and Menges, Achim}, doi = {10.1002/bate.202300070}, journal = {Bautechnik}, month = {09}, number = 10, pages = {637--647}, publisher = {Wiley}, title = {Multi-Akteur-Fabrikation im Bauwesen}, url = {https://doi.org/10.1002%2Fbate.202300070}, volume = 100, 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. Skoury, L., Amtsberg, F., Yang, X., Wagner, H. J., Menges, A., & Wortmann, T. (2022). A Framework for Managing Data in Multi-actor Fabrication Processes. In C. Gengnagel, O. Baverel, G. Betti, M. Popescu, M. R. Thomsen, & J. Wurm (Eds.), Towards Radical Regeneration (pp. 601–615). Springer International Publishing. https://doi.org/10.1007/978-3-031-13249-0_47
  - BibTeX
  BibTeX
  @conference{skoury2022framework, abstract = {This research proposes a design to fabrication data framework for multi-actor fabrication environments with robotic and human actors. The framework generates and exchanges fabrication data between the design elements and the fabrication environment. It features a uniform task data model to represent all processes in the fabrication procedure and link them to the design elements. The framework is demonstrated with a timber slab case study that shows the fabrication data generation, assignment to actors and ordering for execution with a multi-actor fabrication environment involving industrial robots and human workers. This framework opens new opportunities for continuous digital data exchange and feedback between the design and fabrication and allows for rapid changes in both the fabrication environment and the design.}, author = {Skoury, Lior and Amtsberg, Felix and Yang, Xiliu and Wagner, Hans Jakob and Menges, Achim and Wortmann, Thomas}, booktitle = {Towards Radical Regeneration}, doi = {10.1007/978-3-031-13249-0_47}, editor = {Gengnagel, Christoph and Baverel, Olivier and Betti, Giovanni and Popescu, Mariana and Thomsen, Mette Ramsgaard and Wurm, Jan}, eventdate = {09/2022}, eventtitle = {Design Modelling Symposium}, isbn = {978-3-031-13248-3 978-3-031-13249-0}, language = {en}, pages = {601-615}, publisher = {Springer International Publishing}, title = {A Framework for Managing Data in Multi-actor Fabrication Processes}, url = {https://link.springer.com/10.1007/978-3-031-13249-0_47}, venue = {Berlin}, year = 2022 }

DATA SETS

2024
1. Orozco, L., Skoury, L., & Menges, A. (2024). Multi-Level, Multi-Agent Timber Slab Design Method Proof of Concept. DaRUS. https://doi.org/10.18419/darus-4170
  - BibTeX
  BibTeX
  @dataset{orozco2024multilevel, abstract = {This repository contains the algorithmic methods and geometric results of the proof of concept for a multi-level, multi-agent timber slab design method. It includes the base plan, the structural simulation methods used for both its initial rough and subsequent fine grain analysis, the algorithm for its segmentation, and the two agent simulations used to first arrange, and then simplify, the slabs' internal structural reinforcement.This design method is described in the related publication. To use this design method, first the 00_BaseFile must be opened with Rhino 3D. It can then be structurally analysed from within the grasshopper environment using 01_SofistikAnalsys. The result of the rough analysis, provided, can then be used for the segmentation of the slab within this same file. Once segmented, the slab can be analysed again. The result of the fine analysis, provided, can then be fed to 02_SplotchWeb_Generate to arrange the slab’s internal reinforcement. }, affiliation = {Orozco, Luis/Universität Stuttgart, Skoury, Lior/Universität Stuttgart, Menges, Achim/Universität Stuttgart}, author = {Orozco, Luis and Skoury, Lior and Menges, Achim}, doi = {10.18419/darus-4170}, howpublished = {Software}, note = {Related to: Orozco, L., Krtschil, A., Wagner, H. J., Bechert, S., Amtsberg, F., Skoury, L., Knippers, J., & Menges, A. (2021). Design Methods for Variable Density, Multi-Directional Composite Timber Slab Systems for Multi-Storey Construction. In V. Stojaković & B. Tepavčević (Chairs), Towards a New, Configurable Architecture. Symposium conducted at the meeting of Education and Research in Computer Aided Architectural Design in Europe, University of Novi Sad, Novi Sad, Serbia. doi: 10.52842/conf.ecaade.2021.1.303}, orcid-numbers = {Orozco, Luis/0000-0003-0665-8527, Skoury, Lior/0000-0002-2835-827X, Menges, Achim/0000-0001-9055-4039}, publisher = {DaRUS}, title = {Multi-Level, Multi-Agent Timber Slab Design Method Proof of Concept}, year = 2024 }
2. Skoury, L., & Wortmann, T. (2024). Multi-protocol Messaging and Streaming Broker for Grasshopper (RabbitMQ_GH). DaRUS. https://doi.org/10.18419/darus-4193
  - BibTeX
  BibTeX
  @dataset{darus-4193_2024, author = {Skoury, Lior and Wortmann, Thomas}, doi = {10.18419/darus-4193}, publisher = {DaRUS}, title = {Multi-protocol Messaging and Streaming Broker for Grasshopper (RabbitMQ_GH)}, url = {https://doi.org/10.18419/darus-4193}, version = {V1}, year = 2024 }
3. Skoury, L., & Wortmann, T. (2024). livMats Biomimetic Shell Fabrication Tasks. DaRUS. https://doi.org/10.18419/darus-3648
  - BibTeX
  BibTeX
  @dataset{darus-3648_2024, author = {Skoury, Lior and Wortmann, Thomas}, doi = {10.18419/darus-3648}, publisher = {DaRUS}, title = {livMats Biomimetic Shell Fabrication Tasks}, url = {https://doi.org/10.18419/darus-3648}, version = {V1}, year = 2024 }

Prof. Dr. Melanie Herschel

Principal Investigator

Phone: +49 711 685 88444

E-Mail

Tenure-Track Prof. Dr. Thomas Wortmann

Cluster Professor

Phone: +49 711 685 81933

E-Mail

Modular Data Architecture for Preparation, Annotation and Exchange for Conceptual Design

MODULAR DATA ARCHITECTURE FOR PREPARATION, ANNOTATION AND EXCHANGE FOR CONCEPTUAL DESIGN

PRINCIPAL INVESTIGATORS

TEAM

PEER-REVIEWED PUBLICATIONS

2024

BibTeX

BibTeX

BibTeX

BibTeX

2023

BibTeX

BibTeX

2022

BibTeX

DATA SETS

2024

BibTeX

BibTeX

BibTeX

Prof. Dr. Melanie Herschel

Tenure-Track Prof. Dr. Thomas Wortmann

Audience

Formalities

Services

Organization

Modular Data Architecture for Preparation, Annotation and Exchange for Conceptual Design

MODULAR DATA ARCHITECTURE FOR PREPARATION, ANNOTATION AND EXCHANGE FOR CONCEPTUAL DESIGN

PRINCIPAL INVESTIGATORS

TEAM

PEER-REVIEWED PUBLICATIONS

2024

BibTeX

BibTeX

BibTeX

BibTeX

2023

BibTeX

BibTeX

2022

BibTeX

DATA SETS

2024

BibTeX

BibTeX

BibTeX

Prof. Dr. Melanie Herschel

Tenure-Track Prof. Dr. Thomas Wortmann

Cluster of Excellence IntCDC

Audience

Formalities

Services

Organization