1. Manufacturing & Infrastructure Technology The Evaluation of Pipe Performance and Durability Stewart Burn CSIRO Urban Water Infrastructure Contact Stewart.Burn@csiro.au

2. Research Activity  CSIRO – 6500 scientists across Australia  20+ working specifically on asset management of water systems  Water - PARMS  Sewers - CARE-S  Benefits from our Research  Improved Asset Management – Risk Based System  Reduced Failures  Appropriate service at optimal cost  Some return from our investment to invest in further

3. Asset Management Components

4. Asset management strategies  We consider the key Components of an Asset management strategy include  A Risk based methodology based on  Whole Life Costing methodologies to measure consequences  Models for predicting pipe failure  Statistical Models  Physical/Probabilistic Models

5. Asset management strategies

6. PVC Average failure rates (US/Canada)

7. PVC Average failure rates (Australia)

8. Statistical models  Standard failure curves developed for particular material, diameter, length, pressure, soil environment  7 Australian water authorities assessed with 50 years plus of data, 17 UK authorities now being assessed - UKWIR  Statistical Models Need tuning to each authority  Currently seeing if generic curves exist  Developing Physical/Probabilistic Models in conjunction with AwwaRf

9. PVC pipes – CSIRO/AwwaRF  Physical/probabilistic model predicts fracture failures in the field  Linear Elastic Fracture Mechanics theory used to predict time to brittle fracture from pipe wall defects  Uncertainty in model variables accounted for using Monte Carlo simulations

10. Polyethylene (PE) pipes – CSIRO/AwwaRF  Increased ductility of current PE materials renders conventional linear elastic fracture mechanics theory invalid  The historical development of different PE grades adds further complication  Physical/Probabilistic failure model in progress and is supported by statistical models based on recorded failure data

11. Asbestos Cement pipes - CSIRO  Physical/Probabilistic model predicts degradation and loss of strength in the field  Failure predicted to occur under critical combined internal pressure and external loading  Uncertainty in key variables accounted for by Monte Carlo simulation methods

12. Cast Iron pipes – CSIRO  Physical/Probabilistic model predicts corrosion penetration through pipe wall  Failure predicted to occur under combined internal pressure and external loading at critical corrosion pit depth  Uncertainty in key variables accounted for by Monte Carlo simulation methods  Large volumes of historical failure data also allows statistical models to be developed Statistical Physical prob.

13. Ductile Iron pipes – NRC/CSIRO/AwwaRF  AwwaRf project in progress in collaboration with National Research Council, Canada  Will develop service life prediction models for Ductile Iron pipe  In-situ monitoring of corrosion damage in relation to soil electrochemical properties  Statistical methods used to extrapolate measured corrosion damage to longer lengths of pipeline  Physical/Probabilistic model to predict corrosion failure in different soil environments

14. Cement Mortar Lining (CML) CSIRO/AwwaRF  AwwaRf project in preparation to address the long term performance of Cement Mortar Linings in Cast and Ductile Iron pipes  Industry and literature surveys to identify field failure modes in CML  Quantify the interactions between water quality parameters and CML failure  Develop accelerated test methods for modelling CML degradation  Physical/Probabilistic model to predict failure under different operating conditions and water quality conditions

15. Condition Assessment – Pro-Active assets  Failure models can be calibrated using non-destructive condition assessment techniques  Electromagnetic tools available to measure corrosion pit depth in metallic pipes  Research effort towards the development of condition assessment tools for non-metallics (cement, plastics)

16. Sewer Deterioration Models  Deterioration models developed in EU CARE-S project with 15 partners Models developed for  Structural Collapse  In/Ex Filtration  Blockages  Siltation  Root intrusion

17. More Information  CSIRO - Stewart.Burn@csiro.au  AwwaRf – Jian Zhang  WERF – Roy Ramani  CARE-S - Sveinung Saegrov  http://www.csiro.au  http://www.cmit.csiro.au/research/u rbanwater/mouws/