CRH
Leviat HAL lifting-anchor placement
Leviat's HAL trial predicted over 80% of lifting-hardware placements for simple concrete panels
Problem
Engineers had to calculate precise lifting-anchor locations so concrete panels could be raised safely. The calculations were complex and time-consuming.
Approach
Leviat engineers developed Project HAL with support from CRH's Innovation Fund. They trained the AI model using historical engineering data and tested it on panels with simple geometry. Engineers performed the final quality checks.
Results
Takeaway
The reported accuracy applied to simple panel geometries. Engineering review remained part of the workflow.
Categories
- Size
- Large enterprise
- Industry
- Construction and engineering
- Business function
- IT and R&DProduction and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
CRH described Leviat's development and pilot of Project HAL. It reported improved speed and accuracy in precast-panel lifting calculations.
CRH's innovation executive described HAL's trial on simple concrete panels. He reported accurate predictions for over 80% of required lifting-hardware placements and said engineers retained final quality control.
Full details are in the original sources.