[HTML][HTML] Logic-informed graph neural networks for structural form-finding

L Bleker, KMM Tam, P D'Acunto - Advanced Engineering Informatics, 2024 - Elsevier
Computational form-finding methods hold great potential concerning resource-efficient
structural design. The Combinatorial Equilibrium Modeling (CEM), an equilibrium-based …

A temporal coherent topology optimization approach for assembly planning of bespoke frame structures

Z Wang, F Kennel-Maushart, Y Huang… - ACM Transactions on …, 2023 - dl.acm.org
We present a computational framework for planning the assembly sequence of bespoke
frame structures. Frame structures are one of the most commonly used structural systems in …

Constructability-driven design of frame structures with state-space search methods

Y Huang, C Garrett, C Mueller - Automation in Construction, 2024 - Elsevier
In the design of frames and trusses, the relationship between the structural form, the
construction sequence, and the structural behavior during construction is rarely …

[HTML][HTML] Bionic Robot with Multifunctional Leg–Arm Mechanism for In-Orbit Assembly of Space Trusses

Y Shi, Q Xu, R Shi, H Liu, M Zhang, X Hou… - …, 2024 - pmc.ncbi.nlm.nih.gov
This article aims to address the in-orbit assembly needs of truss structures in space missions
by designing a robot capable of moving on trusses and manipulating parts. To enhance the …

Application of Artificial Intelligence in Design Automation: A Two-Stage Framework for Structure Configuration and Design

M Li, Q Zheng, B Ashuri - Journal of Construction Engineering and …, 2024 - ascelibrary.org
Civil engineering design problems are inherently complex, characterized by iterative
processes, multiple criteria, and time-consuming manual design work. Traditional methods …

Machine Learning Methods for (Dis-) Assembly Sequence Planning-A Systematic Literature Review

D Gerhard, J Rolf, JL Siewert… - International Journal of …, 2024 - dergipark.org.tr
This paper presents a systematic literature review on the application of reinforcement
learning in the domain of assembly and disassembly sequence planning. The authors …

A Graph-Based Grammar for Structural Design using Deep Reinforcement Learning

L Bleker, KMM Tam, P D'Acunto - Proceedings of IASS 2024, 2024 - mediatum.ub.tum.de
This paper introduces a graph-based grammar method that combines the Combinatorial
Equilibrium Modeling (CEM) form-finding approach and Deep Reinforcement Learning (RL) …