Intelligent Fabric for Road Subsurface Failure Detection
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Solution Overview
Problem
Current methods for monitoring subsurface failures in earth-supported constructions like roads, highways, and runways are inadequate for real-time detection and are often invasive, time-consuming, and unable to distinguish between benign and threatening subsurface changes, leading to potential catastrophic failures and significant economic and safety risks.
Innovation Solution
Incorporating an intelligent fabric with electronic circuits into road structures that can detect stretching or tearing, allowing for remote monitoring using a sensor assembly to identify damage and potential failures across the full width of the road, enabling early warning systems for subsurface weaknesses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If geophysical survey methods are used to evaluate geological conditions, then subsurface conditions can be assessed, but the methods require specialist personnel and have limited demonstrated usefulness
Solution Approach 1:
The fabric embedded in the road structure contains self-contained sensor elements that automatically detect and report subsurface conditions without requiring external specialist intervention. The piezoelectric or piezoresistive elements within the fabric generate electrical signals in response to mechanical stress from subsurface movements, enabling autonomous monitoring.
Solution Approach 2:
The patent replaces complex geophysical survey equipment with simple electrical circuit elements embedded in the fabric. Instead of using sophisticated geophysical instruments requiring specialist operation, the system uses basic piezoelectric or piezoresistive sensors that convert mechanical subsurface movements directly into detectable electrical signals.
2Measurement precision
If seismic refraction techniques are used to test subsurface conditions, then geological information can be obtained, but the process requires bore holes filled with explosives and tests only about five locations per day
Solution Approach 1:
The monitoring system is divided into multiple independent sensor elements distributed across the fabric, allowing simultaneous monitoring of numerous locations. Each sensor element independently detects subsurface conditions at its specific position, enabling parallel data collection across the entire road width rather than sequential testing of individual points.
Solution Approach 2:
The fabric with embedded sensors is installed during road construction, establishing the monitoring network before the road is put into service. This preliminary action eliminates the need for subsequent invasive testing, as the system continuously monitors subsurface conditions from the outset.
3Measurement precision
If 2D resistivity imaging is used to detect cavities, then ground resistance changes can indicate cavity locations, but the technique is only applicable in some soil types and results depend on water content
Solution Approach 1:
The patent transitions from measuring electrical resistance (which varies with soil moisture and type) to measuring mechanical stress through piezoelectric or piezoresistive elements. This parameter change allows detection of subsurface movements caused by cavities regardless of soil composition or water content, providing universal applicability across different geological conditions.
4Measurement precision
If distress surveys are conducted periodically to detect pavement distress, then visible pavement problems can be identified, but subsurface failures not related to visible distress cannot be detected
Solution Approach 1:
The patent adds a subsurface monitoring dimension to traditional surface-level pavement inspection. By embedding sensors in the fabric that detect mechanical movements at depth, the system provides information about subsurface conditions that is independent of surface pavement appearance, enabling detection of hidden failures before they manifest visibly.
5Reliability
If manual inspection and periodic distress surveys are used, then some pavement issues can be detected, but real-time monitoring of subsurface failures is not available
Solution Approach 1:
The embedded fabric with electrical sensors provides continuous real-time monitoring of subsurface conditions, eliminating the time gaps inherent in periodic manual inspections. The system continuously detects and reports subsurface movements as they occur, enabling immediate response to developing failures rather than waiting for scheduled survey intervals.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables real-time monitoring and detection of subsurface failures, allowing for proactive maintenance planning, reducing emergency repair costs, minimizing traffic disruptions, and preventing property damage and safety hazards.
Implementation Method 1
stretching or tearing the fabric will damage electrical characteristics of the fabric
Implementation Method 2
stretching or tearing the fabric will damage electrical characteristics of the fabric
Data Source
AI summary
Disclosed herein is a method of detecting faults beneath a construction supported by earth. The method comprises detecting the conditions of fabric built into the construction supported by earth. One condition of the fabric indicates a fault while a second condition indicates no fault. The detected condition is associated with the location of the fabric that was built into the construction. The detected condition of the fabric is reported. Also disclosed is a fabric that can be included when constructing a road or similar construction such as a highway, railway, runway or dike. The fabric is an array of electronic circuits such that stretching or tearing said fabric will damage electrical characteristics of the fabric. An apparatus for detecting faults beneath a road is also disclosed. The apparatus comprises a fabric built into the road, and a sensor apparatus configured to measure conditions of the fabric at multiple locations. A subset of the conditions of the fabric indicates faults beneath the road.