Results 121 to 130 of about 47,342 (300)

Field Application of UAS-Based Bridge Inspection

open access: yes, 2018
The use of Unmanned Aerial Systems (UASs), commonly known as drones, has significantly increased over recent years in the field of civil engineering.
Junwon Seo, James P. Wacker, Luis Duque
core   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

open access: yesAdvanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao   +6 more
wiley   +1 more source

Oregon bridge inspection coding guide

open access: yes, 1999
This archived document is maintained by the Oregon State Library as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Title from PDF title page (viewed on Apr.

core  

Framework for Integrating Bridge Inspection Data with Bridge Information Model [PDF]

open access: yes, 2014
Framework for Integrating Bridge Inspection Data with Bridge Information Model Danial Ghadiri Moghaddam The collapse of Silver Bridge, Virginia, U.S.
Ghadiri Mohghaddam, Danial
core  

Development of Rail Camera for Bridge inspection with Attitude Control using Thrust of Rotors

open access: yese-Journal of Nondestructive Testing
A lot of concrete structures are deteriorating to dangerous levels throughout Japan. These concrete structures need to be inspected regularly to ensure they are safe enough to be used.
Tatsuya Iwamoto   +3 more
doaj   +1 more source

Functional Analysis of Ligand‐Gated Chloride Channels in a Cnidarian Sheds Light on the Evolution of Inhibitory Signaling

open access: yesAdvanced Science, EarlyView.
We uncover a large variety of putative inhibitory ligand‐gated ion channels (LGICs) in the phylum Cnidaria, the sister group to all bilaterian animals. Phylogenetic analysis suggests a complex evolutionary history of inhibitory LGICs with diverse neurotransmitter ligands.
Abhilasha Ojha   +13 more
wiley   +1 more source

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

open access: yesAdvanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong   +7 more
wiley   +1 more source

Inspection and Evaluation of Bridges On“ Lanzhou-Chengdu-Chongqing ”Oil Pipeline after Wenchuan Earthquake

open access: yes工程科学与技术, 2009
:After “5.12” Wenchuan earthquake, inspection and evaluation on 5 damaged bridges on “Lanzhou-Chengdu-Chongqing” Oil Pipeline were carried out. With an engineering example of Yangmu bridge which is the most badly damaged, the inspection contents and ...
Yan Bin, Fu Xiao-Dong
doaj  

Drive-by spatial offset detection for high-speed railway bridges based on fusion analysis of multi-source data from comprehensive inspection train

open access: yesRailway Engineering Science
The spatial offset of bridge has a significant impact on the safety, comfort, and durability of high-speed railway (HSR) operations, so it is crucial to rapidly and effectively detect the spatial offset of operational HSR bridges.
Chuang Wang   +6 more
doaj   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy