structures students can use for real-world
experience.
The Au Sable Lighthouse instrumen-
tation is part of a larger project with
colleague Hannah Blum, an associate
professor of civil and environmental engi-
neering, that involves monitoring historic
structures with support from ERDC-CERL.
“It is truly exciting to see research that
UW-Madison and ERDC-CERL have been
working on for several years culminate
in this first field experiment to innovate
how the government monitors and
manages its historic structures,” says
Dawn Morrison, ERDC-CERL team lead
for the initiative, in a news story about the
collaboration. “We are really grateful to
the National Park Service for supporting
this project and making the Au Sable
Lighthouse available.”
Editor’s note: This 8 January 2025
article, written by Alex Holloway, is
reprinted with permission from the
University of Wisconsin–Madison College
of Engineering website (engineering.wisc.
edu/news).
SENIOR EXECUTIVES
DEPART PHMSA AMID
STRAIN ON PIPELINE
SAFETY AGENCY
Several senior leaders at the Pipeline
and Hazardous Materials Safety
Administration (PHMSA) announced
in mid-March their intentions to leave
the US Department of Transportation
agency or retire within a few months,
including William Schoonover, Associate
Administrator for the Office of Hazardous
Materials Safety. This marks a significant
shift for the agency responsible for over-
seeing US pipeline and hazardous mate-
rials safety.
Bloomberg reported that an exodus
of senior officials, including PHMSA
Executive Director Howard “Mac”
McMillan and the head of the Office
of Pipeline Safety Alan Mayberry, has
intensified challenges for the agency.
The move comes as the Trump admin-
istration’s regulatory rollback and hiring
freeze put additional strain on PHMSA,
which already faces resource and funding
limitations.
The agency, which regulates over
2.7 million miles of oil and gas pipe-
lines, is under pressure with the growing
energy sector, including the rise of CO2
pipelines for carbon capture and storage.
Bill Caram of the Pipeline Safety Trust
expressed concern over the agency’s
ability to handle new challenges with
diminished staffing.
Although PHMSA maintains its
commitment to protecting public safety,
concerns remain about the impact of
staffing shortages, particularly in light
of recent incidents, such as the jet fuel
leak in Pennsylvania’s Upper Makefield
Township, which is under investigation by
the state’s Attorney General.
Congress has increased funding
for PHMSA, but uncertainties remain
regarding the agency’s future and reau-
thorization. Industry experts, including
Rich Felder from the Common Ground
Alliance, warned that budget cuts could
undermine safety efforts.
Senators and representatives from
Pennsylvania have called for stronger
oversight, bearing in mind the recent
pipeline leak, with concerns that reduced
personnel could compromise public
safety and environmental protections.
The departures and downsizing at
PHMSA come at a time of heightened
scrutiny over pipeline safety and regu-
latory effectiveness, with critics warning
that staffing reductions could undermine
the agency’s ability to safeguard public
health and the environment.
NEW DIGITAL SMART
MONITORING
SYSTEM IMPROVES
MAINTENANCE OF
AGING BRIDGES
IN VIETNAM
The Korea Institute of Civil Engineering
and Building Technology (KICT) has
developed a smart monitoring system
utilizing digital sensing technology
to maintain and manage small and
medium-sized aging bridges. This study,
funded by KICT as part of an interna-
tional joint research initiative, also laid the
groundwork for technology diffusion to
ASEAN (Association of Southeast Asian
Nations) countries through collaborative
research with the University of Transport
and Communications (UTC) in Vietnam.
Typically, bridge maintenance moni-
toring technology is applied to large-
scale structures like cable-stayed and
suspension bridges. These systems are
resource-intensive, with complex designs
and installations, limiting their use for
smaller bridges. Current bridge moni-
toring systems are based on analog
measurements and sensing, which are
susceptible to electrical noise and data
quality deterioration. Additionally, analog
sensors require 1:1 wiring between
sensors and receivers, resulting in
increased complexity and installation
costs as the system expands.
To address these limitations, KICT
has adopted digital sensing technology,
which minimizes the risk of data dete-
rioration due to noise and enhances
data transmission speed and processing
capability. Furthermore, by using a
BUS communication serial connection,
multiple sensor data can be integrated
and transmitted through a single wire,
offering a simpler, more cost-effective
solution compared to analog sensors.
In Vietnam, where rapid economic
growth is driving the construction of
transportation infrastructure, including
bridges, there is a growing need for
effective maintenance techniques.
Despite the introduction of overseas
workers and technology, maintenance
efforts have mainly focused on long-
span bridges, with limited applications
for smaller structures due to budget
constraints and a shortage of skilled
professionals. Consequently, there is
an urgent need for efficient monitoring
techniques suited to local conditions.
Under the leadership of Dr. Dong-Woo
Seo at KICT’s Department of Structural
Engineering Research, the team devel-
oped a monitoring system tailored for
small and medium-sized aging bridges
using digital sensing technology. This
system was tested on-site with the UTC
research team in Vietnam, demon-
strating its performance and local
applicability.
Notably, the smart monitoring
system can accurately calculate vertical
SCANNER
|
INDUSTRYNEWS
10
M AT E R I A L S E V A L U AT I O N M AY 2 0 2 5
displacement with minimal sensor
placement and input. Real-time data is
provided to users via a GUI (graphical
user interface), and the system is easy to
operate. Field tests in Vietnam showed
that the system’s accuracy in measuring
bridge vertical displacement and actual
deflection exceeded 95%. The devel-
oped system and monitoring algorithm
technology have been transferred to
ATech Solution Inc. for commercialization.
“The biggest advantage of the devel-
oped digital smart monitoring technique
is user-friendliness,” Seo said.
This research was conducted under
the KICT Research Program (project
No. 20240400-001), funded by the
Ministry of Science and ICT.
USING ARTIFICIAL
INTELLIGENCE TO
HELP AVOID TRAIN
ACCIDENTS
Researchers at New York’s Stony Brook
University have developed an innova-
tive model using artificial intelligence
(AI) and guided ultrasonic waves to
detect faults within switch rails, a key
component in rail systems that helps
trains switch directions. This advance-
ment could significantly improve the
safety and maintenance of high-speed
rail systems, helping to prevent potential
train accidents.
As noted by the International Union of
Railways, the global high-speed railway
network has expanded rapidly, now
covering nearly 36 660 mi (59 000 km).
With the increasing demand for faster
trains, switch rails, which are prone to
damage due to their complex struc-
ture and heavy workload, face greater
risks, especially on high-speed tracks.
Damaged switch rails pose a serious
safety hazard.
“It is important to ensure that switch
rails are working perfectly in a high-
speed rail system, and so we wanted to
look for methods that would not destroy
these structures while we were looking
for damage,” said Zhaozheng Yin, SUNY
Empire Innovation Associate Professor in
Biomedical Informatics and a member of
Stony Brook’s AI Innovation Institute.
Traditional nondestructive testing
(NDT) techniques, such as eddy current,
magnetic flux leakage, and ultrasonic
testing, typically involve point-by-point
inspections and have limited efficiency.
To address this, the researchers turned
to guided ultrasonic waves. These waves
travel long distances, are sensitive to
defects, and enable rapid scanning
of large areas. Since rail track repairs
usually happen overnight, guided waves
meet the need for a fast, accurate, and
reliable method to detect damage in a
short timeframe.
Although guided waves have been
previously used for inspecting pipe-
lines, rods, cables, and long lengths
of track, they had not been applied to
railway switches until now. Yin and his
team leveraged deep learning tech-
niques, particularly a convolutional
neural network (CNN), to analyze the
ultrasonic waves. This approach allowed
them to distinguish between normal and
damaged signals, a challenging task due
to the complicated structures of switch
rails.
The team’s model achieved over 91%
accuracy in detecting faults within switch
rails, outperforming existing methods
in all aspects. “Our model outperforms
other relevant methods in every aspect,”
said Yin. “What’s more, it is capable of
performing well under different restricted
conditions and can be used to prevent
accidents in the near future.”
This groundbreaking research marks a
significant leap forward in rail safety, with
the potential to improve maintenance
processes and safeguard high-speed rail
systems worldwide.
BARON MECHANICAL
LAUNCHES NEW WELD
TESTING FACILITY
Baron Mechanical has opened a state-
of-the-art weld testing and certification
facility in Port Arthur, Texas. Located
at 950 Hwy 365, it features advanced
welding and mechanical testing tools to
support industries such as oil and gas,
construction, and manufacturing.
The investment includes high-precision
machining tools for base material
preparation, automated testing systems
for efficiency, and the latest software for
data analysis and reporting.
The facility is equipped to handle a
wide range of weld qualification and
certification services, including welder
and welding operator qualification
testing, weld procedure qualification
testing, welding procedure specification
(WPS) development, and consulting for
compliance and code requirements.
The location supports various welding
methods—including SMAW (shielded
metal arc), GTAW (gas tungsten arc),
GMAW (gas metal arc), and FCAW
(flux-cored arc)—and testing services
provided include tensile and bend
testing, Charpy impact testing, ferrite
content analysis, hardness testing, metal-
lographic examination, stress relieving
(ASME compliant), and elemental anal-
ysis (OES).
In addition to weld testing, the
company is currently investing in a fully
equipped mechanical testing laboratory
for evaluating metallic and nonmetallic
materials, components, and specialty
products. The lab’s capabilities will help
industries assess material strength,
impact resistance, hardness, and ductility,
providing critical insights into perfor-
mance and safety.
INFRASENSE ACQUIRES
ADVANCED BRIDGE
INSPECTIONS (ABI)
Infrasense Inc. (Woburn, MA), a leader
in nondestructive evaluation (NDE) of
transportation infrastructure, announced
the acquisition of Advanced Bridge
Inspections (ABI), a Utah-based bridge
inspection firm, on 3 February 2025.
The acquisition strengthens Infrasense’s
ability to deliver advanced concrete
condition assessment services across
the US.
Founded in 2016, ABI has earned a
reputation for developing efficient, accu-
rate NDT technologies. The company
specializes in accelerating traditional
inspection methods using automation
and data analysis. Key technologies
include ABI’s proprietary rapid auto-
mated sounding (RAS) and advanced
M AY 2 0 2 5 M AT E R I A L S E V A L U AT I O N 11
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