HELM raises autonomous FE modeling success for reinforced concrete bridge barriers from 20% to 75% across 20 cases by inserting human checkpoints into agent workflows for ANSYS and LS-PrePost.
Language Models are Few-Shot Learners
1 Pith paper cite this work, alongside 33 external citations. Polarity classification is still indexing.
1
Pith paper citing it
33
external citations · external index
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Human-Enhanced Loop Modeling (HELM): Agent-Based Finite Element Modeling of Concrete Bridge Barriers
HELM raises autonomous FE modeling success for reinforced concrete bridge barriers from 20% to 75% across 20 cases by inserting human checkpoints into agent workflows for ANSYS and LS-PrePost.