Upload multiple images per view. These will appear in the VI report.
Review inspected components, assign each to a test region, and define environmental & structural test regions. Each test region becomes an independent statistical population for NDT sampling in the next step.
All components captured in Step 2 (AI or manual). Select each row from this list or choose Custom to add/edit freely.
| # | Component (from Step 2 / custom) | Element | Story | Position | Comp. ID | Distress | Severity | Importance | Test Region |
|---|
Sampling is calculated independently per test region using ACI PRC-ITG-11-24 §4.1.2.? The program auto-selects distressed components (priority) and randomly samples non-distressed ones. You can override target, distressed, and non-distressed points per test region.
Probability that the true mean lies within the precision band. Determines Z-score (e.g. 95% → Z = 1.96, 90% → 1.645).
Allowable error as % of mean. Tighter precision (lower %) requires more samples. Typical range: 10–25%.
Measure of data spread = (σ/μ)×100. Higher variability → more samples needed. Default 15% for concrete.
Total components in the test region. Used for finite population correction (FPC): n = n₀ / (1 + (n₀−1)/N).
Choose tests based on observed distress and test region conditions. Multiple tests can be selected.
| Observation / Condition | Tests to Perform |
|---|---|
| 🌊 Coastal / flood exposure | Salinity + Chloride Content |
| 🔍 No visible damage, but at risk | Electrical Resistivity |
| 🔴 Rust stains / cracks / spalling | Corrosion Rate + Chloride Content |
| ⚡ Conflicting NDT results | Chloride Content + Electrical Resistivity |
| 🧱 Expansion / soft concrete | Sulphate Content |
| 🗺️ Large structure mapping | Electrical Resistivity (first pass) |
Enter field readings for each test below. Select the test region and component, set the number of measurement points, then fill in the readings. The live average updates as you type.
Tests are pre-populated from your Step 4 test region plan. Add or remove rows as needed.
Statistical interpretation of NDT readings. Select the interpretation standard below. Outlier detection, quality grading, and characteristic strength computation follow the chosen code. Rebound Hammer strength is estimated via fest = a·Rb and corrected for site conditions.
ACI: f′eq = f̄ − k·s (90% CL tolerance)
AI will analyze all collected data using IS 456:2000, IS 13311:1992, and ACI PRC-ITG-11-24 statistical methods, and generate a complete condition assessment with repair BOQ.