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Smart concrete could pave the way for high-tech, cost-effective roads by Luna Lu and Vishal Saravade | West Lafayette OM (SPX) Nov 13, 2020
Every day, Americans travel on roads, bridges and highways without considering the safety or reliability of these structures. Yet much of the transportation infrastructure in the U.S. is outdated, deteriorating and badly in need of repair. Of the 614,387 bridges in the U.S., for example, 39% are older than their designed lifetimes, while nearly 10% are structurally deficient, meaning they could begin to break down faster or, worse, be vulnerable to catastrophic failure. The cost to repair and improve nationwide transportation infrastructure ranges from nearly US$190 billion to almost $1 trillion. Repairing U.S. infrastructure costs individual households, on average, about $3,400 every year. Traffic congestion alone is estimated to cost the average driver $1,400 in fuel and time spent commuting, a nationwide tally of more than $160 billion per year. I am a professor in the Lyles School of Civil Engineering and the director of the Center for Intelligent Infrastructures at Purdue University. My co-author, Vishal Saravade, is part of my team at the Sustainable Materials and Renewable Technology (SMART) Lab. The SMART Lab researches and develops new technologies to make American infrastructure "intelligent," safer and more cost-effective. These new systems self-monitor the condition of roads and bridges quickly and accurately and can, sometimes, even repair themselves.
Smart, self-healing concrete Such damage can be identified and repaired autonomously. At an early stage of a crack, for example, self-healing pavement would activate super absorbent polymers to absorb water and produce concrete-like material that fills in the crack. Cracks as small as a few microns could be healed to prevent significant damage by preventing or delaying the later stages of the freeze-thaw cycle.
Roadway technology At the Purdue SMART Lab, our team is also testing novel sensors that monitor transportation infrastructure by embedding them in several Indiana interstate highways. We plan to expand to other state highway systems in the next few years with a goal to better accommodate increased traffic and provide accurate estimates of road conditions during construction and its life. Sensors embedded in concrete pavement acquire information about the infrastructure's health condition in real time and communicate the data to computers. Electrical signals are applied through the sensors. Concrete's vibrations are converted into electrical signals that are read and analyzed by lab-built customized software. This enables transportation engineers to make effective and data-driven decisions from opening roads to traffic and to proactively identifying issues that cause damage or deterioration. After concrete is poured for highway pavement, for example, it takes hours to cure and become strong enough to open for traffic. The timing of when to open a highway depends on when the concrete mix is cured. If a roadway opens too early and the concrete is undercured, it can reduce the life expectancy of the pavement and increase maintenance costs. Waiting too long to open a road can result in traffic delays, congestion and increased safety risks for construction workers and commuters. Curing concrete for massive highway projects requires close attention by engineers in conjunction with the weather specific to that region. Smart sensors embedded in concrete enable engineers to monitor the infrastructure and make data-driven decisions about when a road can open while retaining maximum life expectancy. Sensors can also help monitor the quality of concrete and whether it is robust enough to withstand traffic flow and corrosion after a roadway is opened. Smart, efficient infrastructure can significantly reduce structural failures, both catastrophic and through normal wear, as well as lead to reduced costs and provide new ways for structural engineers to assess real-time information about the pavement.
A chemical space mapping method helps crack the mystery of Mendeleev number Moscow, Russia (SPX) Nov 11, 2020 Scientists had long tried to come up with a system for predicting the properties of materials based on their chemical composition until they set sights on the concept of a chemical space that places materials in a reference frame such that neighboring chemical elements and compounds plotted along its axes have similar properties. This idea was first proposed in 1984 by the British physicist, David G. Pettifor, who assigned a Mendeleev number (MN) to each element. Yet the meaning and origin of MNs ... read more
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