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📐 ANSI/ASME N45.2.20-1979 addresses quality assurance requirements related to subsurface geotechnical investigations performed prior to the construction of safety-related structures of nuclear power plants. Developed under the ASME Committee on Nuclear Quality Assurance (originally assigned to the N45.2-5 Work Group) and intended for use in conjunction with ANSI N45.2, the Standard covers investigation planning, verification, field investigation operations, laboratory testing, evaluation and analysis, and records — ensuring the truthfulness, completeness, and traceability of foundation investigation data that underpins the design of nuclear safety-related structures.
The Standard applies to any organization or individual participating in subsurface geotechnical investigations prior to construction of safety-related structures. Verification requirements are layered:
The Standard imposes specific field requirements:
| Activity | Main Requirement |
|---|---|
| Surveying | Accurate borehole positioning with a common datum, recorded |
| Boring & excavating | Drilling per procedure, casing, and core/strata logging |
| Sampling & testing | Correct undisturbed/disturbed sampling, proper sample identification and preservation |
| Field equipment | Suitable, serviceable, and effectively calibrated equipment |
| Classification & reporting | Unified strata classification; timely, accurate logs and reports |
Section 5 requires laboratory tests to be performed by standard test methods, with data truthfully recorded and test reports issued; Section 6 requires analysis and evaluation of subsurface conditions (soil profiles, statistical treatment of parameters and recommended values) and an evaluation and analysis report. These reports are direct inputs to foundation design (bearing capacity, settlement, seismic response analysis).
Another critical element of investigation QA is survey control and the authenticity of drilling records. Borehole coordinates and collar elevations should be measured and rechecked against a common datum to prevent misplaced holes from distorting the subsurface profile; raw field data — footage run, core recovery (RQD), SPT blow counts, sampling depth, and water head — should be recorded on site and countersigned by a witness rather than reconstructed from memory later. In-situ tests (standard penetration, cone penetration, in-situ shear and permeability tests) should follow the applicable test procedures, with equipment calibrated periodically and test conditions such as groundwater level and borehole disturbance recorded in full. These practices ensure that the primary data underpinning laboratory testing and evaluation can be traced and re-examined.
For a nuclear site, investigation results are also commonly linked to site seismic safety evaluation: the shear-wave velocity profile, layer boundaries, and density parameters are direct inputs to site response analysis, and the investigation report should state the depth range and statistical basis of each parameter so that extrapolation beyond the supporting data does not mislead the seismic design. The investigation program should therefore be planned with the full scope of the geotechnical and seismic design questions in mind, and the QA plan should identify who reviews the data at each stage, what evidence closes each verification, and how long records are retained — typically for the life of the plant or per the owner’s QA records requirements.
Laboratory testing deserves the same discipline as field work. Soil and rock samples should be tested under documented methods — water content, Atterberg limits, grain size, triaxial and consolidation tests — with calibration records for the equipment and a clear report that identifies which data came from which sample. Where the laboratory subcontracts tests, the QA plan should confirm that the subcontractor’s procedures and personnel meet the same standards as the primary organization’s. Duplicate and reference samples provide a valuable cross-check: a small percentage of samples tested twice, or split between two laboratories, gives the evaluation engineer an independent estimate of data scatter that is far more informative than a single set of numbers.