Verified:GitHub

Structural Computation

Document computational structural design methods including FEA, oritations, topology optimization, andrography for real projects.

Updated Apr 14, 2026

Search Tags:#shell #structural #fea #form-finding #gridshell #topology-optimization #computational-design

Ready to run

npx skills add https://github.com/gerald-ica/opencode-config-snapshot --skill structural-computation

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Structural Computation
Source: https://github.com/gerald-ica/opencode-config-snapshot/tree/main/opencode/skills/structural-computation
Command: npx skills add https://github.com/gerald-ica/opencode-config-snapshot --skill structural-computation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides structured knowledge and practical methods for computational structural design, enabling practitioners to reason about FEA, form-finding, gridshells, and topology optimization within architectural workflows.

Core Features & Use Cases

Finite Element Analysis fundamentals and practical guidelines for shell and solid elements (2D/3D)
Form-finding methods (hanging chain, dynamic relaxation, TNA, minimal surfaces) and gridshell concepts
Topology optimization workflows (SIMP, level-set, ESO/BESO) with material-aware strategies
Reference material and model data for real projects and education (with deep references)
Use case: explore interactive shape optimization for a gridshell canopy and verify results with FEA

Quick Start

Request a concise, actionable overview of the skill's main methods and reference materials for immediate project planning.

Frequently Asked Questions about Structural Computation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I use form-finding methods to design a gridshell canopy?▼

Topology optimization in structural design uses algorithms like SIMP, level-set, and ESO/BESO to remove inefficient material and redistribute mass. Material-aware computation strategies ensure the final topology satisfies structural constraints while maintaining architectural feasibility.

What is topology optimization and how does it apply to structural design?▼

How do I perform finite element analysis on shell structures?▼

Dynamic relaxation and TNA are form-finding methods used to compute equilibrium shapes for shell and gridshell structures. Dynamic relaxation simulates physical forces to find stable forms, while TNA uses graphic statics for compression-only form-finding in architectural design.

What are the main form-finding techniques for computational structural design?▼

Can I use structural computation skills for real architectural engineering projects?▼

Yes, this skill provides structured knowledge and tooling guidance for computational structural design applied across architectural engineering workflows. It includes reference materials and model data to analyze, optimize, and realize shell and gridshell systems in real projects.

What is the difference between SIMP and level-set methods in topology optimization?▼

SIMP and level-set are both topology optimization workflows for structural design, but SIMP uses density-based penalization to remove material, while level-set tracks boundary evolution. ESO/BESO offers an alternative evolutionary approach for material-aware computation strategies.