Showing posts with label topology optimization. Show all posts
Showing posts with label topology optimization. Show all posts

Wednesday, May 21, 2025

Grasshopper Level 2 Online Workshop for parametric modeling, June 25-27, 2025 (McNeel Europe)



Grasshopper Level 2 (Level 2)
Online Workshop
June 25-27, 2025
10 AM-5 PM CEST (Barcelona)
Hosted on Zoom by McNeel Europe


Ping-Hsiang Chen, a former computational designer at Zaha Hadid Architects, is leading a three-day Grasshopper Level 2 online course. This hands-on experience explores the principles of computational geometry and parametric design. 

After the completion of this course, participants will be able to:
  • Have an in-depth understanding of data structure
  • Work between different geometry types such as NURBS, Mesh, and SubDs
  • Understand the use cases of mesh geometry
  • Optimize workflow using blocks and caches
  • Work with layers, materials, and views in your Rhino document

Day 1
  • Review Computational Geometry and Complex Geometry
  • Advanced Data Structure (Branch and Path Manipulation)
  • Data Grouping, Partition, Classification, and Culling
  • Data Sorting, Sets
  • Conditional Statements
  • Custom Patterns and Domain

Day 2
  • Mesh Modelling Introduction
  • Mesh Subdivision and Topology Reconstruction
  • Mesh Optimization with ShrinkWrap
  • Introduction to Blocks
  • Create Block Attributes
  • Reference External Blocks

Day 3
  • Point Cloud Data Type
  • Introduction to Content Cache
  • Query Information from Rhino Document
  • Model Layer and Object Introduction
  • Model View Introduction

Course requirements: This Level 2 course requires prior experience in visual programming with programming. You should be familiar with the Grasshopper user interface and the essential algorithms and data structures in Grasshopper (Chapters 1 and 2). 

Software requirement: Rhino 8

Online course fees for each course: EUR 395 (+VAT). Full-time students and university teachers receive a 50% discount (proof of status required). We will confirm your seat after your payment has cleared.

Maximum number of participants for each course: 25. If there is no quorum, the course will be canceled 15 days before.

Course language: English

Educational seats are limited. Sign up now by contacting Verena!





Tuesday, May 13, 2025

food4Rhino webinar: Architectural Design Optimization with Opossum (May 21, 2025, at 5 PM CEST)


food4Rhino webinar: 
Architectural Design Optimization with Opossum
May 21, 2025, at 5 PM CEST

Join us for a webinar on Opossum, the model-based optimization plugin.
During the webinar we will dive into single- and multi-objective optimization in Grasshopper. You will learn how to formulate an optimization problem, choose the right algorithm, and interpret the results. We will introduce you to Performance Explorer, the interactive and intuitive Design Space Exploration tool.

Speaker: Max Zorn is a researcher and doctoral candidate at the Department for Computing in Architecture, Institute for Computational Design and Construction (ICD/CA), University of Stuttgart. Max holds a BA (TUM) in Architecture and an MSc in Integrative Technologies and Architectural Design Research (ITECH). His research focuses on software tools for architectural design space exploration, including optimization, machine learning, and interactive visualization. He leads the Opossum developer team and is a co-author of ICD’s ABxM agent-based modeling framework.


Tuesday, April 1, 2025

food4Rhino webinar: LevelOpt - Intact.Simulation Topology Optimization (April 23, 2025 at 5 PM CEST)


food4Rhino webinar: LevelOpt - Intact.Simulation Topology Optimization
April 23, 2025, at 5 PM CEST


Intact.Simulation’s cutting-edge Topology Optimization meets the flexibility of Rhino Grasshopper with FEA Simulation in the loop.

LevelOpt is the latest feature in Intact.Simulation for Rhino Grasshopper.

With automated topology optimization, you can quickly generate high-performance concepts.

User-driven custom optimization: Not just a black box topology optimization tool. LevelOpt gives you the power to interject design changes, incorporate starting designs, and fine-tune settings at any stage.

Advanced capabilities: Freedom to adaptively adjust feature sizes and wall thickness and preserve functional regions as optimization progresses—ideal for tailored, intricate designs.

No preprocessing. No model simplification. No filtering. No postprocessing.

Features:

- Optimization for Compliance
- Supports Isotropic and Orthotropic Materials
- Component-level Flexibility
- Functional Region Preservation
- Custom Op

Speaker: Dr. Neel Goldy Kumar is a Product Manager and Engineer at Intact Solutions, Inc., where he leads the development of cutting-edge commercial simulation technologies. With a Ph.D. in Mechanical Engineering, he has extensive expertise in modeling and simulation, particularly in high-complexity areas such as additive manufacturing and composites.


Wednesday, December 18, 2024

LevelOpt - New topology optimization tool for Rhino and Grasshopper



Cutting-edge Level set optimization meets the flexibility of Grasshopper with FEA Simulation in the loop!

LevelOpt is a topology optimization tool that allows Rhino Grasshopper users to generate high-performance concepts quickly with automated topology optimization. 

A user-driven custom optimization option allows users to interject design changes, incorporate starting designs, and fine-tune settings at any stage. Rhino users automatically get access to LevelOpt with the latest version of Intact.Simulation for Rhino Grasshopper.

There is no preprocessing, model simplifications, filtering, or postprocessing with LevelOpt and Intact.Simulation for Rhino Grasshopper!

Features
  • Optimization for Compliance: Maximize stiffness for a specified weight target.
  • Supports Both Isotropic and Orthotropic Materials.
  • Component-Level Flexibility: Optimize individual components or maintain interface connectivity in assemblies.
  • Functional Region Preservation: Ensure critical zones remain intact during optimization.
  • Custom Optimization:
    • Interjecting design changes
    • Incorporating starting designs and fine-tuning settings at any stage
    • Freedom to adaptively adjust feature sizes, wall thicknesses, and preserved functional regions as optimization progresses