Skip to Content

A Self-Healing Sensor To Monitor Quake-Damaged Buildings

After an earthquake or other catastrophe, collecting structural data is essential. Researchers have made sensors that can repair themselves in the event of failure, keeping that stream of crucial data coming.
July 7, 2011

In the wake of an earthquake, you need information about the structural integrity of buildings in the quake zone in order to determine if it’s safe to enter them. For this reason, buildings in earthquake-prone regions often have sensors attached to measure strain on the structure. There’s one problem though: what if the quake damages the sensor itself? The building might have severe structural damage, or it might not–with the sensor down, you just can’t be sure.

To help counter this known unknown, researchers at North Carolina State University have developed a structural sensor that’s able to heal itself when damaged. The sensor is made up of a pair of glass optical fibers embedded in a reservoir of liquid resin. This resin, though, has special properties–it is “ultraviolet-curable” resin, which means that when it comes into contact with UV light, it hardens. If the filament connecting the two glass fibers should snap during an earthquake, a beam of UV light will carve a new connection out of the reservoir of liquid resin. It is, in essence, “a sensor that automatically repairs itself,” in the words of Kara Peters, one of the researchers. “As far as I’m aware,” she tells Technology Review, “this is the first time” a self-healing sensor has been made.

The NCSU team, which received funding form the National Science Foundation for their research, tested the sensor’s abilities before and after failure, and found that it still worked well. Sometimes, though, as they note in their paper published recently in Smart Materials and Structures, the repaired filament didn’t always go exactly where it was supposed to, failing to bridge the gap between the two optical fibers. “In order to produce reliable self-repairing sensors,” they write, “the alignment and bending problems will need to be addressed.”

Are self-healing “smart materials” really necessary here? Aren’t there other ways to get around the problem of damaged sensors? There are, in fact, and the NCSU team’s paper lists them. In some cases, you can simply repair or replace a sensor (though none too easily, in cases where a sensor is embedded deep within a structure). “Sensor redundancy,” or putting a lot of sensors up in a building (or in other structures–airplanes also use similar sensors, to monitor forces on wings), is another solution. Some researchers have even used neural networking to get an intelligent composite picture from the remaining sensors in a damaged building.

These strategies are helpful, write the study authors. But since a damaged sensor is, almost by definition, likely to be located in the most critical and vulnerable part of a structure, there’s simply no replacement for actual, hard data coming from that sensor. Even if less high-tech solutions might seem possible, the bottom line is that self-healing sensors like the one developed at NCSU have the potential to save lives.

Keep Reading

Most Popular

Geoffrey Hinton tells us why he’s now scared of the tech he helped build

“I have suddenly switched my views on whether these things are going to be more intelligent than us.”

Meet the people who use Notion to plan their whole lives

The workplace tool’s appeal extends far beyond organizing work projects. Many users find it’s just as useful for managing their free time.

Learning to code isn’t enough

Historically, learn-to-code efforts have provided opportunities for the few, but new efforts are aiming to be inclusive.

Deep learning pioneer Geoffrey Hinton has quit Google

Hinton will be speaking at EmTech Digital on Wednesday.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at with a list of newsletters you’d like to receive.