FEATURED CASE | ENGINEERING EVIDENCE FILE
Explore digital validation paths in parallel in GEWU, complete simulation-test correlation and method checks to reduce linear physical trial and error, then package the validated method as an Engineering App and establish a standard call path through LUBAN.
Representative Engineering EvidenceWheel impact validation relies heavily on expert experience and physical testing, while physical-test and digital-validation correlation and reporting lack a shared standard.
Explore digital validation paths in parallel in GEWU, complete simulation-test correlation and method checks to reduce linear physical trial and error, then package the validated method as an Engineering App and establish a standard call path through LUBAN.
Make the baseline, metrics, validation method, and disclosure boundary explicit—not just the result.
The 13-degree physical impact test and agreed operating conditions form the correlation baseline.
Deformation, failure location, critical responses, and correlation deviation
Simulation-test correlation, engineering review, and a standard report close the acceptance loop.
Response contours, correlation curves, the acceptance report, and the Engineering App are public; sensitive customer inputs remain private.
Representative Engineering Evidence
Published response contours, correlation curves, an acceptance report, and an Engineering App
From the 13° impact task to strength, fatigue, and the broader wheel-validation workflow
