Add BrightSurf on Google Email

Saitama University researchers develop two-level AI framework for more informative steel bridge corrosion inspection

A two-level AI framework is developed to identify the presence and extent of visible corrosion and classify corrosion pixels into four visual categories. This framework provides complementary information about where corrosion occurs and how accurately its boundaries are represented.

SourceSaitama University·JournalComputer-Aided Civil and Infrastructure Engineering·DateSep 14, 2026

Seoul National University of Science and Technology develops an AI framework for long-term bridge damage monitoring

Researchers developed an automated computer vision system to monitor long-term bridge damage using routine drone inspections. The framework enables the tracking of structural damage progression and measurement of severity, with a maximum error rate of 4.61% compared to manual measurements.

SourceSeoul National University of Science & Technology·JournalStructural Health Monitoring·TypeExperimental study·DateAug 3, 2026

Towards integrated data model for next-generation bridge maintenance

Researchers develop a novel integrated data model that merges construction and geospatial information standards to manage bridges' 3D geometry data and maintenance records. This framework enables accurate damage location assessment, repair prioritization, and predictive maintenance, leading to improved infrastructure safety and longevity.

SourceHosei University·JournalComputer-Aided Civil and Infrastructure Engineering·TypeComputational simulation/modeling·DateNov 27, 2025

UVA engineering professor will augment his students’ reality this spring

Devin Harris and his team have developed an augmented reality app, STRUCT-AR, that allows students to 'stress test' virtual bridges, beams, frames, and trusses. The app, which is set to be tested this spring, aims to improve students' understanding of structural behavior by providing a more interactive and immersive learning experience.

Diagnosing damaged infrastructure from space

Researchers at Texas A&M University have developed a method of monitoring infrastructure using Synthetic Aperture Radar (SAR) remote sensing systems. This technology allows for early detection of issues, reducing the need for time-consuming repairs.

SourceTexas A&M University·JournalTransportation Research Record Journal of the Transportation Research Board·DateJun 6, 2024

UBC Okanagan researchers hope to prevent catastrophes with next-generation sensors

UBC Okanagan researchers have developed sensors that can detect erosion and breaches in protective coatings, reducing inspection time and error risk. The AI-enabled sensors can also distinguish individual layer erosion within multi-layer coatings, enabling proactive monitoring and addressing of equipment degradation.

SourceUniversity of British Columbia Okanagan campus·JournalNature Communications·TypeComputational simulation/modeling·DateOct 18, 2023

Reading between the cracks: artificial intelligence can identify patterns in surface cracking to assess damage in reinforced concrete structures

Researchers develop AI-based method to quantify cracking patterns in reinforced concrete structures, enabling more accurate and efficient assessments of structural damage. The approach uses graph theory and machine learning algorithms to create a unique 'fingerprint' for each set of cracks, allowing for quick and consistent evaluations.

SourceDrexel University·JournalComputer-Aided Civil and Infrastructure Engineering·TypeComputational simulation/modeling·DateJun 1, 2023

Engineered by KAIST mechanics - a quick but clingy creepy-crawler that will MARVEL you

M.A.R.V.E.L.'s magnetic soles made of Electro-Permanent Magnet (EPM) and Magneto-Rheological Elastomer (MRE) enable fast movement on uneven surfaces. The robot can climb at speeds of up to 70 cm/s on walls and 50 cm/s on ceilings, making it the world's fastest walking climbing robot.

SourceThe Korea Advanced Institute of Science and Technology (KAIST)·JournalScience Robotics·TypeMeta-analysis·DateDec 31, 2022

Dolphins adapt to survive invasive coastal constructions

Bottlenose dolphins adapted to coastal construction by shifting feeding locations and behavior timings, but these changes persisted after construction. Human activities like dredging and pile driving cause significant stress and harm to marine wildlife, emphasizing the need for conservation policies.

SourceFrontiers·JournalFrontiers in Marine Science·DateMar 18, 2021

Pinpointing the origins of Jerusalem's Temple Mount

A recent study using radiocarbon dating and microarchaeology has pinpointed the construction dates of Wilson's Arch on Jerusalem's Temple Mount to between 20 BC and 60 AD during Herod the Great's reign. This new timeline resolves a long-standing debate about the entrance to the holiest site in Jerusalem.

SourcePLOS·JournalPLOS ONE·DateJun 3, 2020

Bridge protection in catastrophic earthquakes

Researchers at University of Technology Sydney developed a novel ground anchor technology to protect bridges against catastrophic earthquakes. The system uses high-tensile capacity steel cables, embedded into the ground behind the bridge, to deliver incredible strength and energy dissipation.

SourceUniversity of Technology Sydney·JournalSoil Dynamics and Earthquake Engineering·DateDec 9, 2019

How to break Murphy's Law

A new study by Canadian researchers aims to dispel the myth of Murphy's Law by showing that human error can be minimized through rigorous testing and analysis. By implementing checks and balances, industries can improve reliability and safety, reducing the likelihood of catastrophic failures.

SourceInderscience Publishers·JournalInternational Journal of Reliability and Safety·DateDec 21, 2011

Mastering gravity: making liquids dance

Researchers at Case Western Reserve University have developed a technique to simulate various gravitational environments using a magnetic levitation method. This allows them to study the behavior of liquids and solids in conditions ranging from Earth's gravity to zero-G environments, providing new insights into fluid dynamics.

SourceCase Western Reserve University·JournalPhysical Review Letters·DateAug 20, 2000

In first case of fully automated design, computers shape LEGO bricks into various designs without human input

Computer scientists at Brandeis University have successfully designed and built various LEGO structures, such as bridges and cranes, without human input. The team's program uses a trial-and-error approach to optimize designs based on simple optimization goals, laying the groundwork for robots capable of reworking their own hardware.

SourceBrandeis University·JournalArtificial Life·DateAug 25, 1999