Structural self-sensing for wide societal impacts in transportation, buildings, energy and manufacturing

Smart builidng is an example of a smart structure. The most basic smart function is sensing, which is the topic of this project.

Real-time structural sensing is conventionally provided by embedded/attached sensors, which result in high cost, low durability, small sensing volume and the mechanical performance being diminished. This research provides structural self-sensing, i.e., the structures sensing themselves without sensor incorporation.

Project description

Structural integrity is an international societal concern. It impacts safety, transportation, commerce, energy, defense, climate-change-related sea-level rise resilience, public health, and quality of life. The structures include bridges, roads, rail, dams, sea walls, waste storage, buildings, oil/gas pipelines and wells, wind turbines, missile vertical launchers, aircraft, satellites, and 3D-printed structures. Real-time structural sensing is needed. It is conventionally provided by embedded/attached sensors, which result in high cost, low durability, small sensing volume and the mechanical performance being diminished. This research provides structural self-sensing, i.e., the structures sensing themselves without sensor incorporation. Stress/strain sensing is relevant to structural operation control, structural vibration control, and load monitoring. Examples of load monitoring include pedestrian monitoring, building HVAC-zone occupancy monitoring, oil/gas well cement pressure monitoring, and sea-wall pressure monitoring. This research focuses on real-time structural self-sensing that does not require material modification, as enabled by innovative capacitance measurement. Without material modification, the technology is widely applicable to both existing and new structures.

Project outcome

The project outcome will pertain to the sensing characteristics, i.e., the relationship between the capacitance and the condition of the structure. 

Learning outcomes

The specific outcomes of this project will be identified by the faculty mentor at the beginning of your collaboration. 

Project details

Timing, eligibility and other details
Length of commitment Longer than a semester; 6-9 months
Start time Anytime
In-person, remote, or hybrid? In-Person
Level of collaboration Individual student project
Benefits Potential academic credit (through MAE 498 or MAE 499)
Who is eligible?
Sophomores, juniors, and seniors

Project mentor

Deborah Chung

SUNY Distinguished Professor

Mechanical and Aerospace Engineering

608 Furnas Hall

Phone: (716) 645-3977

Email: ddlchung@buffalo.edu

Start the project

  1. Email the project mentor using the contact information above to express your interest and get approval to work on the project. (Here are helpful tips on how to contact a project mentor.)
  2. After you receive approval from the mentor to start this project, click the button to start the digital badge. (Learn more about ELN's digital badge options.) 

Preparation activities

Once you begin the digital badge series, you will have access to all the necessary activities and instructions. Your mentor has indicated they would like you to also complete the specific preparation activities below. After you’re approved to begin the project, your mentor will send the relevant materials. Please reference this when you get to Step 2 of the Preparation Phase. 

  • Reading articles or books

Keywords

mechanical engineering, aerospace engineering, electrical engineering, materials, structures, sensing, monitoring, smart structures