How do you validate a structural model when full-scale testing is impossible?

I work on structural models where full-scale testing is impractical, and reviewers often ask for validation we cannot realistically provide.

I usually lean on scaled experiments, field monitoring, or comparison with published test data, but each has limits.

How do you decide when the validation evidence is strong enough to submit, and what do you say to reviewers who want more?