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5 results for “transport engineering”
Dopant Engineering for Spiro-OMeTAD Hole-Transporting Materials towards Efficient Perovskite Solar Cells
<p>Optoelectronic, photovoltaic, and supplementary characterization data for “Dopant Engineering for Spiro-OMeTAD Hole-Transporting Materials towards Efficient Perovskite Solar Cells”, DOI:10.1002/adfm.202102124</p> <ul> <li>CV.zip: Data (cyclic voltammograms) described in Figures S3–S5 in Origin (*opj) file format.</li> <li>EPR.zip: Data (EPR spectra) described in Figure 5, Figure S2, and Table S2 in Origin (*opj) file format.</li> <li>Optical.zip: Data (UV-vis, PL, and TRPL spectra) described in Figure 4 and Table S1 in Origin (*opj) file format.</li> <li>PV.zip: Data (photovoltaic characteristics) described in the Figures 2–3, Table 1, Figure S1, and Figure S6 in Origin (*opj) file format.</li> </ul>
Development of Novel Ultra-High Performance Engineered Cementitious Composites (UHP-ECC) for Durable and Resilient Transportation Infrastructure
<p>The objective of this study was to develop novel UHP-ECC materials utilizing readily available ingredients in Region 6 for the construction and repair of transportation infrastructure. Phase one of this study focused on the development of ultra-high strength cementitious matrices by evaluating the effects of ingredient selection and mixture proportioning on the materials’ compressive strength. Variables evaluated included the mass ratios of silica fume to fly ash (SF/FA), supplementary cementitious materials to cement (SCMs/C), and ordinary sand to microsilica sand (OS/MS). Phase two of the study focused on the development of UHP-ECC materials. To this end, based on the knowledge gained from phase one, two ultra-high strength cementitious matrices (one with and one without SF) were formulated and their fracture properties were evaluated through fracture toughness test. Furthermore, fiber-bridging properties of ultra-high-molecular-weight (UHMW) polyethylene (PE) fiber in the developed cementitious matrices were evaluated through single crack tensile test (SCTT). Four different composites were produced by reinforcing the selected cementitious matrices with 1.5 and 2 vol.% UHMW PE fiber. Fresh and hardened properties of the developed composites were assessed by means of flowability test, compressive strength test, uniaxial tensile test, and flexural performance test. Results from phase one showed that SF/FA had the most relevant effect on compressive strength, followed by SCMs/C, and OS/MS. Furthermore, increments in SF/FA produced improvements in strength, whereas increments in SCMs/C and OS/MS reduced strength. Experimental results from phase two indicated that the use of SF and the increase in fiber content generally had a negative effect on the fresh and hardened properties of the composites. These observations were credited to a worsening fiber distribution when using silica fume and/or increasing fiber content. Three UHP-ECC materials utilizing readily available ingredients were successfully developed (i.e., mixtures FA25-f1.5, FA25-f2, and FA20SF5-f2). These materials simultaneously exhibited ultra-high compressive strength (>120 MPa) and ECC-like ductility (tensile strain capacity >2%). The average crack width for all mixtures ranged between 61-131 μm. Mixture FA25-f1.5, which displayed the best mechanical properties, exhibited a compressive strength of 133.1 MPa, flexural strength of 21.4 MPa, tensile strength of 10.3 MPa, tensile strain capacity of 4.3%, and an average crack width of 115.3 μm. Importantly, this mixture did not incorporate silica fume or microsilica sand and used low fiber content (i.e., 1.5 vol.%).</p>
Data files for the article "Engineering nanoscale hypersonic phonon transport"
<p>Data files for the article "Engineering nanoscale hypersonic phonon transport". Published in Nature Nanotechnology </p>
Low-Cost Sustainable Engineered Geopolymer Composites (EGCs) for Repair and New Construction of Transportation Infrastructure
<p>This study evaluated the use of cost-effective alternative materials in the formulation of novel low-cost Engineered Geopolymer Composite (EGC) materials for repair and new construction of transportation infrastructure in Region 6. Previous studies and reports have shown that EGCs have excellent mechanical properties, which makes them an eco-friendly and more sustainable alternative to Engineered Cementitious Composites (ECCs). However, the mass adoption of these emerging composites is expected to be hindered by their cost, which is mainly driven by the use of PVA reinforcing fibers, silica fume (SF), and manufactured microsilica sand (MS). To address this key shortcoming, novel low-cost EGC materials for repair and new construction of transportation infrastructure in Region 6 were developed by: (1) metakaolin (MK) and fly ash (FA) as replacements of commonly used SF for GP binders; (2) low-cost PP fiber, PVA fiber, and hybrid systems of PP and PVA fiber; and (3) natural sand instead of commonly used manufactured MS. The MK-FA GP binders were tested for compressive strength and characterized with scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS), while the MK-FA GP composites were tested for workability, compressive strength, and uniaxial tensile strength (UTT). Based on the experimental findings, it was concluded that 20-40 wt% of FA replacement was the optimal range for Na-based MK-FA GP with the strength values of ~12-14 MPa, while 50 wt% of FA replacement had the highest strength for K-based MK-FA GP of 17.2 MPa at 90-day. For composites, the mortar with the highest compressive strength reached a value of 10.6 MPa with 45% of river sand, and with 4 wt% SF and 1.5% PVA+0.25% PP fibers, it reached 21 MPa as a fiber-reinforced composite at 28-day. The composite with 10 wt% SF and 1.75% PE had the highest UTT of 3.97 MPa and a strain capacity of 1.78%. All the slant shear test specimens meet the 28-day shear bond strength requirement according to ASTM C882.</p>
Transportation Engineering Research
<p>Passenger data such as real-time origin-destination (OD) flows and waiting times are central to planning public transportation services and improving visitor experience. This project explored the use of Internet of Things (IoT) Technology to infer transit ridership and waiting time at bus stops. Specifically, this study explored the use of Raspberry Pi computers, which are small and inexpensive sets of hardware, to scan the Wi-Fi networks of passengers’ smartphones. The process was used to infer passenger counts and obtain information on passenger trajectories based on Global Positioning System (GPS) data. The research was conducted as a case study of the Streamline Bus System in Bozeman, Montana. To evaluate the reliability of the data collected with the Raspberry Pi computers, the study conducted technology-based estimation of ridership, OD flows, wait time, and travel time for a comparison with ground truth data (passenger surveys, manual data counts, and bus travel times). </p> <p>This study introduced the use of a wireless Wi-Fi scanning device for transit data collection, called a Smart Station. It combines an innovative set of hardware and software to create a non-intrusive and passive data collection mechanism. Through the field testing and comparison evaluation with ground truth data, the Smart Station produced accurate estimates of ridership, origin-destination characteristics, wait times, and travel times. </p> <p>Ridership data has traditionally been collected through a combination of manual surveys and Automatic Passenger Counter (APC) systems, which can be time-consuming and expensive, with limited capabilities to produce real-time data. The Smart Station shows promise as an accurate and cost-effective alternative. The advantages of using Smart Station over traditional data collection methods include the following: (1) Wireless, automated data collection and retrieval, (2) Real-time observation of passenger behavior, (3) Negligible maintenance after programming and installing the hardware, (4) Low costs of hardware, software, and installation, and (5) Simple and short programming and installation time. If further validated through additional research and development, the device could help transit systems facilitate data collection for route optimization, trip planning tools, and traveler information systems. </p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.