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arxiv: 2606.17291 · v1 · pith:LB6Y6PSXnew · submitted 2026-06-15 · 💻 cs.CE

STORX: An Open-Source Object-Oriented Framework for Shape and Topology Optimization in MATLAB

Amir M. Mirzendehdel , Krishnan Suresh This is my paper

Pith reviewed 2026-06-27 02:01 UTC · model grok-4.3

classification 💻 cs.CE
keywords shape optimizationtopology optimizationMATLAB frameworkobject-oriented designlevel-set methodsdensity methodsopen-source softwarecomputational design
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The pith

STORX is a MATLAB framework that uses abstract base classes to let users add new objective functionals and constraints to shape and topology optimization without changing the core code.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper presents STORX as an open-source educational platform in MATLAB that covers parametric and level-set shape optimization together with density, level-set, evolutionary, and Pareto-tracing topology optimization. Every module shares the same object-oriented layout and bundles visualization, sensitivity analysis, and finite-element routines so that the boundary between shape and topology methods stays visible and reproducible. The architecture relies on abstract base classes to define the main interfaces, so new design or manufacturing constraints are added simply by writing derived classes. A sympathetic reader would see this as a practical way to map mathematical problem statements directly onto working code for teaching or research.

Core claim

STORX establishes a consistent object-oriented structure in MATLAB where abstract base classes define the interfaces for optimization modules, objective functionals, and constraints, allowing all shape and topology methods to share visualization, sensitivity, and finite-element tools while new capabilities are introduced through derived classes alone.

What carries the argument

Abstract base classes that define core interfaces for objectives, constraints, and optimization modules, enabling extension by inheritance.

If this is right

  • New objective functionals are added by deriving classes from the abstract base without touching the core code.
  • The same visualization, sensitivity, and finite-element routines serve both shape and topology optimization methods.
  • Mathematical formulations for parametric, level-set, density, evolutionary, and Pareto-tracing problems map directly to executable MATLAB code.
  • The framework supports transparent exploration of the continuum between shape and topology optimization.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Graduate courses could use the shared structure to show students how shape and topology methods relate without switching tools.
  • Researchers could test new manufacturing constraints by writing a single derived class and running the existing examples.
  • Independent users could reproduce published results more reliably because the separation of intent keeps problem definitions distinct from solver details.

Load-bearing premise

That new objective functionals and design or manufacturing constraints can be added by writing derived classes without any modification to the abstract base classes or core modules.

What would settle it

An attempt to incorporate a new constraint that forces changes to the abstract base classes or shared core routines.

read the original abstract

This paper presents STORX: Shape and Topology Optimization for Research and Experimentation, an open-source MATLAB-based educational framework for learning and teaching computational design optimization. STORX provides a platform for parametric and level-set shape optimization, as well as topology optimization methods including density, level-set, and topological sensitivity approaches such as evolutionary and Pareto-tracing methods. All modules follow a consistent object-oriented structure and integrate visualization, sensitivity analysis, and finite element routines, enabling users to explore the continuum between shape and topology optimization in a transparent and reproducible manner. The code is designed to complement graduate-level coursework and independent research by emphasizing modularity and extensibility through a clear separation of intent. Core software interfaces are defined via abstract base classes, enabling new objective functionals and design/manufacturing constraints to be implemented by adding derived classes without modifying the core code. The paper also describes the software architecture and demonstrates how the framework maps mathematical formulations directly to executable code through a series of illustrative problems.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. This paper introduces STORX, an open-source object-oriented MATLAB framework for shape and topology optimization. It covers parametric and level-set shape optimization as well as topology optimization methods including density, level-set, evolutionary, and Pareto-tracing approaches. All modules follow a consistent OO structure integrating visualization, sensitivity analysis, and finite element routines. Core interfaces use abstract base classes to enable new objectives and constraints via derived classes without modifying core code. The architecture is described and the mapping from mathematical formulations to code is illustrated through example problems to support transparency and reproducibility for education and research.

Significance. If the described architecture and extensibility hold, the framework could serve as a useful educational complement to graduate coursework in computational design optimization by allowing users to explore the continuum between shape and topology methods in a modular, reproducible setting. The open-source OO design with clear separation of intent is a strength for extensibility in the field.

major comments (2)
  1. [illustrative problems section] The central claim that the framework enables transparent and reproducible exploration via mapping of formulations to executable code (abstract and illustrative problems section) is not supported by any specific code snippets, class definitions, or output from the problems. This leaves the assertions about transparency, reproducibility, and extensibility qualitative rather than demonstrated, which is load-bearing for the paper's contribution as an educational framework.
  2. [software architecture section] § on software architecture: the statement that all modules follow a consistent object-oriented structure and integrate visualization/sensitivity/FEM routines is asserted at a high level but not illustrated with concrete examples such as class hierarchies, pseudocode, or interface definitions, making it difficult to evaluate the claimed consistency and modularity.
minor comments (1)
  1. The abstract mentions 'a series of illustrative problems' but does not specify which optimization problems or formulations are used; adding this detail would improve clarity.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive comments on our manuscript. We agree that the current presentation relies on high-level assertions and will strengthen the paper by adding concrete illustrations of the architecture and problem mappings to better support the educational contribution.

read point-by-point responses

  1. Referee: [illustrative problems section] The central claim that the framework enables transparent and reproducible exploration via mapping of formulations to executable code (abstract and illustrative problems section) is not supported by any specific code snippets, class definitions, or output from the problems. This leaves the assertions about transparency, reproducibility, and extensibility qualitative rather than demonstrated, which is load-bearing for the paper's contribution as an educational framework.

    Authors: We agree that the illustrative problems section describes the mapping at a conceptual level without including explicit code snippets, class definitions, or sample outputs. In the revision we will add selected code excerpts from the base classes and problem implementations, along with corresponding numerical outputs and visualizations, to make the transparency and reproducibility claims concrete and verifiable. revision: yes

  2. Referee: [software architecture section] § on software architecture: the statement that all modules follow a consistent object-oriented structure and integrate visualization/sensitivity/FEM routines is asserted at a high level but not illustrated with concrete examples such as class hierarchies, pseudocode, or interface definitions, making it difficult to evaluate the claimed consistency and modularity.

    Authors: We accept that the architecture section remains at a descriptive level without concrete examples. The revised manuscript will include a class hierarchy diagram, pseudocode for the abstract base classes (e.g., Objective, Constraint, and Optimizer interfaces), and brief examples showing how visualization, sensitivity, and FEM modules are integrated through the common OO structure. revision: yes

Circularity Check

0 steps flagged

No significant circularity

full rationale

The manuscript is a software description paper with no derivation chain, equations, predictions, or fitted quantities. All claims concern code architecture, abstract base classes for extensibility, and integration of visualization/sensitivity/FEM modules. These are presented as direct descriptions of implemented structure rather than results derived from prior results or self-citations. No load-bearing step reduces to its own inputs by construction.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is a description of a software framework rather than a theoretical or empirical scientific result, so no free parameters, axioms, or invented entities are introduced.

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discussion (0)

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Reference graph

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