Published research / software

CHS buckling under combined load.

Repeat the same combined-load prediction for candidate CHS members.

Supplied CHS numerical buckling representations. Collaborative reference-data attribution applies. Publication · 10.1007/s11709-026-1334-4

Role: Research co-author · credited developer
Period: 2026
Methods: Regression · Buckling
Status: Published research / software

Engineering software / Streamlit

A defined input.
An inspectable decision.

For structural engineers studying hollow-section members

Repeat the same combined-load prediction for candidate CHS members.

01 / INPUT

Set the engineering case

Member diameter, length, thickness, loading descriptors and material properties

02 / OUTPUT

Inspect the result

Predicted ultimate load (kN) and comparison history

03 / DECISION

Compare the next options

Identify members that warrant more detailed buckling analysis.

Technical basis

Regression · Buckling

Validation evidence

Supplied Streamlit source and published FE/ML research.

Current scope

Research-domain inputs and independent stability checks are required.

Public deployment has not been verified. The supplied interface and source establish the implementation shown.

Engineering record

Scope, method and evidence.

Published study and implemented application with explicit personal developer credit. Dataset generation and universal design validity are not inferred.

01Engineering question

Repeat the same combined-load prediction for candidate CHS members.

Context: Structural steel/members.

02Role and documented scope

Research co-author · credited developer

03Methods and evidence

Geometry, material and loading descriptors enter a hybrid prediction workflow for combined-load CHS buckling. The supplied ANN application provides a user interface to the research model. Presence of FE-derived data does not imply that Sina generated every reference simulation.

Supplied research files support the scope shown. Authorship is distinguished from personal ownership of every dataset, test or model; an interface is not proof of current deployment.

Publication record · 10.1007/s11709-026-1334-4

04Interpretation and limitations

No universal accuracy, engineering approval or field benefit is inferred from a selected output. Model domains and independent checks must be established for a new assignment.

Research supporting this project