3DX Stiffened Structure Concept app Composite Laminates Parameter Guide (Korean ver.)

Summary of 3DEXPERIENCE Stiffened Structure Concept app : Composite Laminates Parameter Guide

 

1. Overview & Purpose

  • Definition: A solution that integrates the Stiffened Structure Concept and Parametric Design Study apps to quickly configure design exploration studies.
  • Objective: To find the optimal thickness and material distribution across a structure by automatically testing various Laminate Compositions and Laminate Alternatives.

2. Two Core Approaches for Optimization

  • Laminate Composition: Focuses on optimizing the internal makeup of a laminate.
    • SS (Stacking Sequence): Optimizes the orientation (angle) of each ply.
    • TL (Thickness Law): Optimizes the number of plies for each orientation and material combination.
    • TR (Thickness Ratio): Optimizes the ratio of a specific orientation's thickness relative to the total thickness.
  • Laminate Alternatives: (Available from 2025x) Focuses on selecting the best pre-defined laminate.
    • Automatically selects the most suitable laminate ID from a list of candidates (library) for each grid cell. This is ideal for applying company-standard or pre-validated laminate sets.

3. Standard Workflow (6 Steps)

  1. Geometry Creation: Design the 3D Shape including the Grid.
  2. Model & Scenario Setup: Create the Finite Element Model (FEM) and define boundary conditions/loads.
  3. Sensor Generation: Define sensors for Key Performance Indicators (KPIs) such as von-Mises Stress or Max Displacement.
  4. Expose Parameters: Activate composite input variables to be controlled in the Parametric Design Study app.
  5. Study Configuration: Define input variables, objectives (e.g., Minimize Stress), and constraints.
  6. Simulation & Analysis: Run simultaneous simulations and identify the best Design Point.

4. Key Features & Benefits

  • Rapid Exploration: Eliminates the need to manually modify complex composite models; thousands of design candidates are generated and tested automatically.
  • Data-Driven Decision Making: Uses KPI sensors to ensure objective and quantitative selection of the best design.
  • Solving Efficiency: Executes simultaneous simulations per core processor, drastically reducing the total time for massive design space searches.
  • Seamless Integration: Provides a single-platform environment where design, simulation, and optimization data are fully connected without loss.