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Non-Destructive Subsurface Mapping and Condition Assessment of a large Highway Bridge

This application note details a comprehensive non-destructive evaluation (NDE) workflow used to assess the structural integrity, reinforcement layout, and waterproofing condition of a major highway bridge.

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Infrastructure & Asset Inspection of Concrete Structures

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Comprehensive Bridge Deck and Waterproofing assessment with multichannel GPR



The Challenge

To ensure long-term asset management and plan targeted maintenance, the asset owner required a detailed assessment of a key highway bridge's internal structure and waterproofing condition. Specifically, the inspection faced several critical hurdles:

  • Undocumented Internal Geometry: Up-to-date, highly detailed drawings of the upper reinforcement layer and the exact layout of the transverse post-tensioning (PT) system were unavailable. 
  • Waterproofing Degradation Suspected: Moisture ingress was suspected, but its extent, location, and effect on the waterproofing bond beneath the ~100mm asphalt layer were unknown. 
  • Limitations of Automated Diagnostics: Standard automated GPR deterioration mapping algorithms could not be used due to two compounding factors: 
    1. The highly irregular, "patchy" layout of the first-layer reinforcement mat.
    2. High subsurface water concentration resulting from three days of continuous rainfall prior to the night scan. 
  • Minimizing Traffic Disruption: The diagnostic work had to be completed rapidly with minimal physical coring or destructive testing.

The Solution

An advanced Proceq Ground Penetrating Radar (GPR) was deployed, combining high-resolution data acquisition with targeted physical validation.

1. High-Resolution GPR Scanning 

The GPR survey was executed at night using the GM8000 and GS9000 multichannel systems to capture high-density subsurface profiles across the carriageway. 

2. Multi-Layer Signal Analysis

Because automated mapping algorithms were unfeasible under the highly saturated conditions, engineers manually analyzed the raw radar dielectric properties and signal amplitudes:

  • Waterproofing Boundary Mapping: Evaluated the signal strength at the asphalt-concrete boundary. Low-amplitude reflections (orange/green zones, Fig.3) indicated dry, intact waterproofing, while high-amplitude/high-dielectric reflections (red zones, Fig. 3) pointed to water accumulation and potential debonding.
  • Rebar and PT Mapping: Tracked the hyperbola reflections of the longitudinal and transverse steel to map the depth, spacing, and structural relationship between the rebar panels and underlying post-tensioning ducts.

3. Calibration via Targeted Trial Pits

Rather than widespread destructive testing, only three localized trial pits were excavated to calibrate and confirm the GPR signal interpretations:

  • Trial Pit 1 was placed in a high-amplitude zone to verify suspected waterproofing failure. 
  • Trial Pit 3 was placed in a low-amplitude (orange) zone to confirm healthy, intact waterproofing and dry concrete.

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Results

The GPR investigation provided a clear, actionable map of the bridge’s internal condition, allowing the client to transition from generalized maintenance to highly targeted localized repairs.

Structural Layout & Reinforcement Mapping

The GPR survey successfully mapped the complex layout of the bridge's upper reinforcement layers: 

  • First Layer (Depth: 150mm–200mm): Laid out in rectangular panels at 4m centers. Longitudinal bars sit uppermost, directly resting on transverse post-tensioning strands beneath. This suggests the rebar panel likely sat directly on the PT tendon ducts during the original concrete pour. 
  • Second Layer (Depth: ~300mm): A secondary reinforcement mat was successfully mapped. 
  • Structural Anomalies: Identified localized areas where the first-layer steel mat sits significantly deeper (300mm–350mm) over the transverse tendons.
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Fig.1 Overview of 1st layer reinforcement

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Fig.2 possible PT strands

Waterproofing & Moisture Mapping

By analyzing dielectric contrast at the asphalt-waterproofing interface, engineers isolated areas of moisture pooling: 

  • Southwest Abutment Joint: A major zone of water accumulation was identified. Due to the slope of the bridge, runoff is stopped hard at the expansion joint, leading to prolonged water saturation. Trial Pit 1 confirmed that this saturation has resulted in a poorly bonded waterproofing membrane. 
  • Utility Trench Saturation: High-amplitude dielectric responses highlighted a saturated zone running across the carriageway halfway along the span, coinciding with a transverse utility/comms cabling trench. 
  • Healthy Zones: The westbound carriageway and eastern sections exhibited low-amplitude reflections. Trial Pit 3 calibrated these areas as having fully intact waterproofing and dry underlying concrete.
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Fig.3 Low amplitude response shown in orange, high amplitude higher dielectric response in red

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Fig.4 Waterproofing layer

Steel Condition Assessment 

Despite the inability to run automated deterioration models, manual signal attenuation analysis successfully flagged localized areas of concern:

• GPR profiles showed a sudden fade/disappearance of the rebar mat corner. This indicates either localized concrete saturation shielding the radar signal or early-stage steel deterioration.

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Fig.5 steel detail in centre of bridge

Conclusion & Actionable Recommendations

Overall, the concrete and internal steel reinforcement of the bridge deck were found to be in good structural condition. Rather than recommending a costly, full-deck resurfacing and waterproofing replacement, the GPR data enabled efficient maintenance recommendations:

  1. Targeted Waterproofing Repair: Execute localized waterproofing replacement on the southwest end of the bridge, focusing on the high-saturation zone up to the easternmost boundary.
  2. Drainage Remediation: Address the drainage path hard-stop at the southwestern abutment joint to prevent future pooling and premature bond failure.
  3. Local Concrete/Steel Investigation: Perform a localized, non-destructive follow-up or localized breakout to evaluate the suspected reinforcement degradation.

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