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This test method defines procedures for establishing the Hydrostatic Design Basis (HDB) for thermoplastic pipe materials and the Pressure Design Basis (PDB) for thermoplastic pipe products. The HDB is derived from the material’s long-term hydrostatic strength (LTHS) based on stress-rupture data, while the PDB is based on the product’s long-term hydrostatic pressure-strength (LTHSP) from pressure-rupture data. Both categories rely on testing for a minimum of 10,000 hours and extrapolating to 100,000 hours using linear regression on log-log coordinates.
Specimens undergo sustained pressure testing at various stress levels. The resulting stress or pressure versus time-to-rupture data are plotted on log-log scales. A best-fit straight line is determined through linear regression. This line is extrapolated to the 100,000-hour intercept to obtain the LTHS or LTHSP. The assigned HDB or PDB corresponds to a preferred long-term strength category based on this extrapolated mean strength value.
Data must exhibit a straight-line relationship on log-log coordinates for valid classification. High scatter or a “knee” in the data can lead to lower strength forecasts or failure to meet confidence limits. For polyethylene materials, additional validation of the straight-line assumption is required. The method is applicable to all thermoplastic pipe materials and products that produce linear stress-rupture behavior.
| 🟦 Parameter | 📏 HDB | 🎯 PDB |
|---|---|---|
| Basis | Material property (LTHS) | Product property (LTHSP) |
| Data Source | Stress-rupture tests | Pressure-rupture tests |
| Analysis | Log stress vs log time | Log pressure vs log time |
| Minimum Duration | 10,000 hours | 10,000 hours |
| Strength Intercept | 100,000 hours | 100,000 hours |
HDB is a material property based on stress-rupture data from pipe tests, reflecting material strength. PDB is a product-specific property based on pressure-rupture data, incorporating product design, geometry, and manufacturing effects.
Test data must cover a minimum period of 10,000 hours to allow reliable extrapolation to the 100,000-hour strength intercept.
A “knee” in the stress-rupture curve can lead to a lower forecast of LTHS/LTHSP. If excessive, it may cause the data to fail lower confidence limits and be classified as unsuitable.
Yes, it applies to all known types of thermoplastic pipe materials and products, provided stress-rupture data exhibits a straight-line relationship on log-log coordinates up to 100,000 hours.