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    Home»Workshops»Evolutionary Computational Design: For Structural Optimization
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    Evolutionary Computational Design: For Structural Optimization

    PA Next TeamBy PA Next TeamMay 15, 2023Updated:August 13, 202405 Mins Read0 Views
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    Evolutionary Computational Design

    Topic: Evolutionary Computational Design: For Structural Optimization
    Date: June 3 & 4, 2023
    Time: 11:00 – 15:00 GMT
    Format: Online on Zoom
    Duration: 2 Sessions (8 Hours)
    Course Fee: Free for Digital Members
    Difficulty: Beginner – Intermediate
    Language: English
    Certificate: Yes
    Organized By: PAACADEMY’s Original Content
    Tutor: Ghazal Javidannia
    Videos: Recordings will be available for all members afterward.

    Register Now!

    Introduction to the Workshop:

    Evolutionary Computation (EC) is a sub-field of artificial intelligence (AI) which used the “Evolutionary Algorithm” (EAs) to solve problems that have too many variables for traditional algorithms. This method uses to select the best alternatives between various solutions based on problems’ criteria and constraints known as “Optimization”. The engineering community (including architects and structural Eng.) could benefit from this design method as a rapid and high-quality decision-making method and tool to increase the speed and quality of their design choice in the building design field.

    This workshop’s participants would learn how to use the EAs to study the effect of architectural design decisions on buildings’ structures’ performance and how to select optimum design alternatives among various design solutions. To achieve this goal, we use “Karamba3D” as a Finite Element (FE) analysis tool which provides an accurate analysis of spatial trusses, frames, and shells in the early design stage, and, “Galapagos” as an optimization tool based on the genetic algorithm. They are both fully embedded in the parametric design environment of Grasshopper, a plugin for the 3D modeling tool Rhino. This makes it easy to combine parameterized geometric models, finite element calculations, and evolutionary optimization algorithms altogether.

    Scope of the Workshop:

    This workshop is for architecture and structural designers and/or students who are interested in the simultaneous design of structure and architecture. All modeling and computational analysis will be done in the grasshopper/Rhino7. Having beginner to intermediate knowledge of Grasshopper is a must. Karamba3D will be used for modeling and analyzing the structure during sessions. No prior Karamba3D knowledge is required. The trial Karamba3D version is sufficient. The Evolutionary Optimization Algorithms will be explained from scratch and Galapagos, as the single objective optimization tool based on the genetic algorithm will be introduced. Prior knowledge of optimization algorithms is an advantage but not necessary.

    Methodology:

    This workshop presents a computer-aided design framework for the generation of non-standard structural forms in static equilibrium using Karamba3D and Galapagos, as Finite Element analysis tools and Genetic Algorithm optimization tools, respectively. The design workflow relies on the implementation of a series of operations (generation, evaluation, optimization, and regeneration) that allow to the creation of multiple design alternatives and to navigate in the architectural design space according to objective and subjective Criteria defined by the designer.

    Objectives:

    Participants of this workshop will:

    • Understand the main criteria and evaluation factors of a “FE analysis”,
    • Learn how to model and analyze simple structures using “Karamba3D”,
    • Understand the basic concepts and application of “Evolutionary Algorithms”,
    • Learn how to use a “Genetic Algorithm” for optimization and design framework in the architectural design process, and Learn how to use “Galapagos” to define a generative structure and architecture optimization workflow.

    Program:

    First Session: June 3rd

    • Introduction to Karamba3D
    • Setup a structural statical model
    • Creating structural models and analysis scenario
    • “Evolutionary Algorithms” and “Genetic Algorithms” are basic concepts

    Second Session: June 4th

    • Assignment 01: Canopy Design
    • Structural performance optimization using Galapagos

    Note: the participant can either design their own canopy or work on a simple algorithm prior prepared by the instructor. Note that while we are using the trial version of Karamba3D the canopy elements must be restricted to 20 beams & 50 shells.

    Evolutionary Computational Design
    ©John Gollings, MPavilion, Melbourne

    Software:

    • Rhinoceros3D 7.0 (Required)
    • Karamba3D (Required)
    • Lunchbox (Required)
    • Human (Recommended)

    Important Notes:

    • The workshop is free for Digital Members.
    • After subscribing to the Digital Membership, you will need to add the workshop to your account by clicking “get the course” at this link.
    • The ‘Evolutionary Computational Design’ workshop by PAACADEMY will start on Saturday, June 3rd, 2023, at 11:00 GMT.
    • Your Digital Membership must be valid on the event day.
    • Total sessions: 2 sessions
    • Daily Schedule: 11:00 – 15:00 GMT.
    • The entire studio will be recorded, and videos will be available for participants.
    • PAACADEMY will provide a certificate of attendance for students who deliver a final project.
    • Please be informed that we won’t be able to provide any license, invitation, or educational account, for any of the software listed above. Having the software with a proper license and installing them on the computer is the responsibility of the attendees.

    Instructor:

    Ghazal Javidannia

    Evolutionary Computational Design - Ghazal Javidannia

    Ghazal Javidannia has a Ph.D. from TMU University of Tehran, Iran. Her focus is on “Computational Design & Optimization using “Evolutionary Algorithms” and her expertise is on “Generative and Interactive” architectural design based on buildings’ structural performance. She has published multiple papers in peer-review Journals and has presented at various conferences including eCAADe and SimAUD. She also has held multiple national and international workshops in the field of architecture and structure Simulants Design” using “Evolutionary Algorithms”. Now, she collaborates with major design and building companies on building performance simulation and analysis in the early stages of design.

    Evolutionary Computational Design

    Topic: Evolutionary Computational Design: For Structural Optimization
    Date: June 3 & 4, 2023
    Time: 11:00 – 15:00 GMT
    Format: Online on Zoom
    Duration: 2 Sessions (8 Hours)
    Course Fee: Free for Digital Members
    Difficulty: Beginner
    Language: English
    Certificate: Yes
    Organized By: PAACADEMY’s Original Content
    Tutor: Ghazal Javidannia
    Videos: Recordings will be available for all members afterward.

    Register Now!
    digital membership GEN parametric design Studio Ghazal Javidan
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