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    Parametric Design with Grasshopper & Python

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    AI Summary

    • This session presents an automated workflow for bridge modeling and seismic analysis using MIDAS Civil NX, with a focus on complex bridge projects located in high seismic regions.

       

    • It will demonstrate how Grasshopper and Python can be integrated with MIDAS Civil NX to automate parametric model generation, seismic response analysis, and rapid comparison of multiple design alternatives, improving both efficiency and flexibility throughout the engineering workflow.

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    Description

    To address the complexity of bridge design in high seismic zones with improved speed and accuracy, the Arcadis UK team developed an advanced automated workflow integrating MIDAS Civil NX with Grasshopper and Python.

    This webinar presents how this integrated approach was applied in a real project to streamline modeling and seismic analysis, significantly improving efficiency, flexibility, and the ability to evaluate multiple design alternatives.

    Participants will learn how parametric tools enable automated bridge geometry generation from alignment data, how Python scripting supports seismic response analysis using P–Y curves, and how combined workflows allow rapid comparison and updating of different design scenarios.

    Key Points

    Application of MIDAS Civil NX to complex bridge projects in high seismic regions through automated and parametric design workflows

    Integration of Grasshopper and Python with MIDAS Civil NX for rapid model generation, seismic analysis, and efficient design updates

    Techniques for automating seismic response analysis using P-Y curves and parametric scripting approaches

    Practical methods for comparing multiple bridge design alternatives quickly and efficiently within a streamlined engineering workflow

    Benefit

    Certificate

    Issued upon session completion

    Speaker

    Elizabeth Yang Assistant Engineer Arcadis
    Elizabeth is an Assistant Engineer at Arcadis (UK) Limited, currently working as part of the London Bridges team. She holds an MEng (Hons) in Civil Engineering from Imperial College London. Her work focuses on bridge design and analysis in complex project environments, with experience applying parametric modeling techniques such as Grasshopper and Python in real-world workflows.
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