Smart Concrete for Transportation Infrastructure

Engineering & Applied Science (College of) / Civil & Environmental Engineering

Project Description

This project will explore smart concrete based on graphene (G), carbon nanoparticles (CNP), and nanofibers (CNF) as the primary sensing platform and piezoelectric patches as the secondary sensing platform for a structural health monitoring (SHM) system. The objectives are to:
• Demonstrate distributed primary and secondary sensing platforms in a concrete matrix or at commonly used interfaces (e.g., overlays in the pavement).
• Create sensing grids and interfaces that can collect and transmit the state data.
• Synthesize specimens for testing, assessment, and demonstration.
• Develop cloud-based tools and AI algorithms using simulated and real data to facilitate the deployment.
Proposed Experimental Plan: In smart concrete, the primary sensing platform is realized by doping concrete with graphene/carbon nanomaterials. Preliminary research has indicated that a small quantity of carbon nanostructures (G/CNP/CNF), when well-dispersed, can impart enhanced electrical conductivity to the cement matrix. This project will explore the effect of G/CNP/CNF on concrete’s conductivity and smart response. Laboratory tests will be conducted in three stages:
(T1) material-level tests with cylinders and prisms to establish the nanomaterial dispersion methods, optimal compositions, and target concrete response;
(T2) small-scale tests with slabs simulating ideal segments of bridge structures to establish the fundamental relationships and train machine-learning algorithms;
(T3) the use of AI to produce a structural status update for concrete from data collected by the embedded sensing platforms.

Tasks and Responsibilites

The student will work as a research/project assistant and will be responsible for the design and lab work associated with the project. The student will also be responsible for the literature review, testing of concrete and cementitious materials; modeling; the evaluation of test data such as mechanical and electrical properties, materials characterization, and durability evaluation.

Desired Qualifications

None Listed.