Timber Column Slab Solver

Version 1.0
Timber Column Slab Solver
Udaykumar, Keerthana; Orozco, Luis; Krtschil, Anna; Menges, Achim; Knippers, Jan, 2024, "Timber Column Slab Solver", https://doi.org/10.18419/DARUS-4172, DaRUS, V1
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Description
This dataset contains an agent-based exploration of the design space for modular slab and column systems. The primary objective is to equip designers with the ability to pinpoint structural configurations that adhere to Serviceability Limit State (SLS) deflection criteria from the beginning of the design process. The methods represent an innovative design methodology aimed at discovering configurations that minimize environmental impact through strategic column-slab positioning and dimensioning, all while satisfying SLS deflection standards. To facilitate this approach, a guidance-based real-time Finite Element Analysis (FEA) feedback design tool has been developed, allowing for the empirical validation of the proposed method. The database contains the source code for the ICL plugin, built on top of the ABxM Framework. By opening the ICL.sln solution in the Visual Studio IDE, both the ICL.Core and ICL.GH projects can be compiled to generate a grasshopper plugin. The ICL plugin can then be used in conjunction with the ABxM canonical example files to create agents, give them behaviours, combine them into an agent system, assign it an environment, and finally run the simulation using the ICL Solver. Example files are provided in the “data” folder. (2023-07-10)
Subject Computer and Information Science; Engineering
Keyword Building Design, Structure, Structural Design, Civil Engineering
Related Publication Udaykumar, K., Orozco, L., Krtschil, A., Menges, A., & Knippers, J. (2023). Interactive gradient-decent optimization method for timber column-slab structures. In Proceedings of IASS Annual Symposia, IASS 2023 Melbourne Symposium: Optimisation methods and applications. International Association for Shell and Spatial Structures (IASS).url: https://www.ingentaconnect.com/contentone/iass/piass/2023/00002023/00000008/art00010
Data Generation Simulation; Experiment
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