A5017392508- Infrastructure Maintenance and Monitoring
- Structural Health Monitoring Techniques
- Concrete Corrosion and Durability
- Structural Behavior of Reinforced Concrete
- Structural Engineering and Vibration Analysis
- 3D Surveying and Cultural Heritage
- Optical measurement and interference techniques
- Structural Load-Bearing Analysis
- Innovative concrete reinforcement materials
- Particle physics theoretical and experimental studies
- Neutrino Physics Research
- Railway Engineering and Dynamics
- Dark Matter and Cosmic Phenomena
- BIM and Construction Integration
- Concrete and Cement Materials Research
- Smart Materials for Construction
- Non-Destructive Testing Techniques
- Particle Detector Development and Performance
- Remote Sensing and LiDAR Applications
- Industrial Vision Systems and Defect Detection
- Astrophysics and Cosmic Phenomena
- Geotechnical Engineering and Underground Structures
- Concrete Properties and Behavior
- Mechanical Behavior of Composites
- Innovations in Concrete and Construction Materials
University of Virginia
2015-2024
Engineering Systems (United States)
2020-2024
Urology of Virginia
2024
University of British Columbia
2024
American University of Sharjah
2024
University of Massachusetts Lowell
2024
Sharif University of Technology
2024
University of Tabriz
2024
BC Innovation Council
2023
ORCID
2019-2022
This paper introduces the idea of using deep fully convolutional neural networks for pixel-level defect detection in concrete infrastructure systems. Although coarse patch-level learning crack models abound literature and have shown promise, level detail provided, together with requirement fixed-size input images, significantly detract from their applicability usefulness refined damage analysis. The model introduced this (CrackPix) leverages well-known image classification architectures...
Ultrahigh-performance concrete (UHPC) exhibits several properties that make it appropriate for the rehabilitation of structures. In this investigation, application is focused on bridge deck overlays, but study equally applicable to other applications. Its negligible permeability makes material suitable as a protective barrier prevents any water or chemical penetration into substrate. addition, its ultra-high compressive strength and post-cracking tensile capacity could provide an improvement...
The next-generation Enriched Xenon Observatory (nEXO) is a proposed experiment to search for neutrinoless double beta ($0\nu\beta\beta$) decay in $^{136}$Xe with target half-life sensitivity of approximately $10^{28}$ years using $5\times10^3$ kg isotopically enriched liquid-xenon time projection chamber. This improvement two orders magnitude over current limits obtained by significant increase the mass, monolithic and homogeneous configuration active medium, multi-parameter measurements...
The projected performance and detector configuration of nEXO are described in this pre-Conceptual Design Report (pCDR). is a tonne-scale neutrinoless double beta ($0νββ$) decay search $^{136}$Xe, based on the ultra-low background liquid xenon technology validated by EXO-200. With $\simeq$ 5000 kg enriched to 90% isotope 136, has half-life sensitivity approximately $10^{28}$ years. This represents an improvement about two orders magnitude with respect current results. Based experience gained...
Improving transportation infrastructure inspection methods and the ability to assess conditions of bridges has become a priority in recent years as continues age. Current bridge techniques consist largely labor-intensive subjective measures for quantifying deterioration various elements. Some advanced nondestructive testing techniques, such ground- penetrating radar, are being implemented; however, little attention been given remote sensing technologies. Remote technologies can be used...
Critical components of the nation's bridge network, concrete decks, are deteriorating at a rapid rate. This deterioration can be attributed to several factors; however, winter salt application, diffusion chlorides reinforcing steel, and eventual corrosion reinforcement primary culprits. Multiple protection solutions, include protective systems, sealers, additional cover reinforcement, membranes, epoxy-coated but each solution has shortcomings does not completely address problem....
Evaluating the condition of concrete bridge decks is an increasingly important challenge for transportation agencies and inspection teams. Closing to traffic, safety, time consuming data collection are some major issues during a visual or in-depth inspection. To date, several nondestructive testing technologies have shown promise in detecting subsurface deteriorations. However, main develop acquisition analysis system obtain integrate both surface health indicators at higher speeds. Recent...
Graphene nanoplatelets (GNPs) have the same chemical structures as carbon nanotubes but their internal structure consists of multiple layers graphene with thicknesses only a few nanometers. Compared to nanotubes, GNPs are less prone agglomeration and entanglement when they used nanofillers in composite materials. This paper investigates development self-sensing cement composites using simple fabrication method that does not require special preparation procedures such ultrasonication...
The functionality of the U.S. transportation infrastructure system is dependent upon health an aging network over 600,000 bridges, and agencies responsible for maintaining these bridges rely on process load rating to assess adequacy individual structures. This paper presents a new approach safety screening load-capacity evaluation large bridge populations that seeks uncover heretofore unseen patterns within National Bridge Inventory database establish relationships between select attributes...
Abstract Over the past decade there has been a significant increase in number of concrete transportation structures reaching end their service lives, typically as result age and severe degradation. This deterioration is often exposure to aggressive environments substantial increases vehicle loading. Rehabilitation most appropriate solution for these because high cost full replacement, resulting need cost-effective suitable solutions rehabilitation. Ultra-high-performance (UHPC), one more...
We apply deep neural networks (DNN) to data from the EXO-200 experiment. In studied cases, DNN is able reconstruct relevant parameters—total energy and position—directly raw digitized waveforms, with minimal exceptions. For first time, developed algorithms are evaluated on real detector calibration data. The accuracy of reconstruction either reaches or exceeds what was achieved by conventional approaches over course Most existing event classification in particle physics trained Monte Carlo...
This study explores the use of Deep Convolutional Neural Network (DCNN) for semantic segmentation flood images. Imagery datasets urban flooding were used to train two DCNN-based models, and camera images test application models with real-world data. Validation results show that both extracted extent a mean F1-score over 0.9. The factors affected performance included still water surface specular reflection, wet road surface, low illumination. In testing, reduced visibility during storm...
Abstract The field of structural mechanics deals with the behavior bodies under loads, and a considerable portion education involves introduction theoretical models to describe real-world elements. However, gap between abstract descriptions in classroom versus experience perception deformation can be an obstacle learning. This paper presents preliminary results use mixed reality technology bridge this by enabling real-time simulation elements effective immersive visualization their response....
One of the latest advancements in concrete technology is ultra-high-performance (UHPC), a fiber-reinforced, densely packed material that exhibits increased mechanical performance and superior durability compared with normal- high-strength concretes. UHPC has great potential to be used bridge market United States. However, gain acceptance by designers, contractors, precasters, owners, this needs tested according ASTM International AASHTO standards, new practices must developed. The...
This paper discusses vibration serviceability assessment of a highly trafficked local footbridge based on the experimental tests and analytical studies. The selected bridge is an approximately 60 m (196 ft) long multi-span steel structure with continuous reinforced concrete slab supported two longitudinal girders. study consists ambient pedestrian interaction to describe dynamic characteristics structure. fundamental frequency in vertical direction obtained through was within critical range...
Using equations proposed by the AASHTO LRFD specifications, live-load distribution factors in bridge superstructures were calculated based on linear-elastic behavior of system. In this study, applicability these predicting girder presence high material nonlinearity and oversized loading scenarios was investigated. Two representative composite steel superstructures, which are service state Michigan had been previously subjected to a testing program, selected for study. Sixteen cases analyzed...
Future tonne-scale liquefied noble gas detectors depend on efficient light detection in the VUV range. In past years Silicon Photomultipliers (SiPMs) have emerged as a valid alternative to standard photomultiplier tubes or large area avalanche photodiodes. The next generation double beta decay experiment, nEXO, with 5 tonne liquid xenon time projection chamber, will use SiPMs for detecting $178\,\text{nm}$ scintillation light, order achieve an energy resolution of $\sigma / Q_{\beta\beta} =...
The addition of fibers to cementitious composites can provide improved ductility, energy dissipation, and resistance cracking. However, it is also important minimize residual deformations crack-closing capabilities when the material subjected cyclic loading. In this study, behavior mortar mixtures with randomly distributed superelastic shape memory alloy was investigated. Superelastic alloys are metallic that possess unique characteristics such as ability undergo large deformations,...