Open Data Network

3-D Numerical Realization of Contituent-Level FRP Composites Using X-Ray Computer Tomography

<p>Develop met&nbsp;.&nbsp;hods coupling state-of-the-art, nondestructive characterization techniques with three-dimensional, numerical modeling to study the constituent-level failure of fiber-reinforced polymer (FRP) composites</p> <p>The objective of the project is to initiate realization of the Digital Twin concept for composites by coupling state-of-the-art, nondestructive characterization techniques with 3D numerical modeling to study the constituent-level failure of FRP composites. Near-term implications for this work include significantly increasing our understanding of the fundamental, constituent-level, failure mechanisms in current FRP composites through ultra-realistic, multi-physics simulations. The work will have long-term impacts on the design of innovative composites by virtual testing and on the incorporation of composites into the Digital Twin framework. The initial benchmark for success will be the high resolution (i.e. 385 nm) characterization, reconstruction, and finite element discretization of an approximately 130&times;130&times;130 mm3 volume of unidirectional graphite/epoxy composite (e.g. IM7/8552, AS4/3501-6).</p>

GHRSST Level 2P European Medspiration NAR16 SST:1

The EUMETSAT OSI-SAF NAR SST products are SST fields derived from NOAA/AVHRR data and available over 6 pre-defined zones, 4 times per day. After acquisition and calibration at CMS, the NOAA/AVHRR data are re-mapped onto a stereopolar grid to produce mosaics of consecutive orbits over Europe and the Near Atlantic at a 2 km resolution. Mosaics are made over a "Rectification Grand Domaine" area (RGD). For re-mapped grid points observed by more than one overpass, the smallest satellite zenith angle data are selected. In the normal conditions when two satellites are operational, four mosaics per day are produced for all the AVHRR channels. SSTs are then calculated from these data. Six zones are then extracted . They are 1024 * 1024 pixels in size to offer the users (presumably interested by local phenomena) the possibility of handling a restricted volume of data. Note that SSTs are calculated over the entire RGD, but only the predefined zones are delivered as NAR products.The operational CMS AVHRR cloud mask in use is based on a multi-spectral thresholding algorithm (Derrien and Le Gleau 1999). Some refinements specific to the marine conditions have been introduced including Use of fine scale climatology and a fine gradiant climatology to assist in the detection of clouds in areas characterised by strong thermal gradients. SSTs are derived from the 11 and 12 micron brightness temperatures (T11 and T12) . The NOAA /AVHRR has three IR channels : channel 3 (3.6-3.8 micron), channel 4 (10.2-11.2 micron) and channel 5 (11.5-12.5 micron) which provide IR data at 1-km spatial resolution at the satellite subpoint (Kidwell, 1997). NOAA-14 and NOAA-16 have similar characteristics, but with distinct radiometer filter functions that necessitate distinct algorithm coefficients. The algorithms coefficients are derived from multilinear regression on a simulation database . At night the use of the 3.7 channel in a triple window algorithm improves the SST retrieval performances under high water vapor content conditions. The expected accuracy is defined as the expected bias and standard deviation of the primary calculations against drifting buoy measurements determined on a monthly or yearly basis. The following performance evaluation was derived from a detailed validation of NOAA/AVHRR derived SSTs (Brisson et al 2001). Bias: Apart for the first 2 months after the launch of a new satellite, the monthly biases should remain within +/-0.4 K by night. By day local biases of several K are possible because of shallow diurnal heating. Standard deviation: see table below: low-cloud cases (cloud coverage less than 10% of the validation box) have been separated from all cases (cloud coverage less than 60%). The "expected maximum standard deviation" or the expected maximum biases are the maximum values that can be observed under normal conditions. When these values are overpassed, some anomaly may have occurred and the problem must be identified. Standard deviation Table Yearly, all Monthly, all Yearly, low-cloud Monthly, lowcloud 0.7 0.8 0.6 0.7 Physical definition subskin SST : Comparable to in situ (buoy) measurements at night. Relation to bulk SST: equivalent to bulk SST by night. By day, a bias of several Kelvin may be found under favorable diurnal heating conditions, Relation to skin SST: By day and by night the subskin SST is convertible to skin temperature by subtracting 0.2K. Units and range Units: Centi-Kelvins When using GRIB format, a scaling factor of 100 must be applied. No lower limit is imposed on the SST calculations, providing the sea is ice free. The expected range is thus from about -3 degC till 35 degC, corresponding to actual values of 27000 to 30800. Unprocessed data (for whatever reason) show a negative value (-32768) in HDF format, or is flagged as missing in GRIB section3. Origin SST calculated from the IR channel data of the NOAA/AVHRR re-mapped onto a stereopolar grid at 2 km resolution. SST are extracted over 6 pre-

High-Speed Prediction for Real-Time Debris Risk Assessment, Phase I

Our innovation is a high-speed method for the prediction of aerodynamic debris fields that employs an extensive database of generalized empirical equations coupled with interpolation and localization techniques. An essential element of our innovation is the vehicle independence of the equations database which allows it to be generated once and applied to any vehicle. The large-scale operation of unpiloted aircraft within the National Airspace (NAS) will require a very high tempo of flight risk assessments, both for pre-mission planning and in the event of unplanned anomalies or deviations from the approved flight path. These risk assessments will require a large number of debris field predictions each of which will involve predicting the expected impact point and impact dispersion of many distinct representative debris pieces. Our innovation is aimed at making this volume of predictions feasible and cost-effective.

Model-Based Real Time Assessment of Capability Left for Spacecraft Under Failure Mode, Phase I

The proposed project is aimed at developing a model based diagnostics system for spacecraft that will allow real time assessment of its state, while it is impacted by a failure mode, and provide to the crew the possible reconfiguration strategies to continue the mission. While a lot of research is being done on the development of Integrated Vehicle Health Management (IVHM) system, very little effort is made to provide the spacecraft with the capability to use IVHM information in order to assess the possible strategies possible when a failure event has impacted the vehicle. A model based system can use its understanding of the system state to deduce the potential reconfiguration commands and optimize the outcome in order to preserve the mission goals. Our proposed project is targeted at supporting the spacecraft fault tolerance capability by searching the system states space and selecting the most appropriate sequence of actions to execute in order to optimize the possibility of mission success, by reconfiguring the spacecraft to a desired new state.

Operationally Responsive Spacecraft Subsystem Project

Saber Astronautics proposes spacecraft subsystem control software which can autonomously reconfigure avionics for best performance during various mission conditions. The approach is to construct performance metrics from spacecraft health and welfare telemetry and learn their relationships in a probabilistic, multi-modal model called a "System Map". In this way the relationships between consumables, mission performance, and spacecraft subsystems can be learned in the same data driven model. The significance of the innovation is the ability for immediate, accurate real time assessment of the spacecraft systems-of-systems performance. Immediate assessment leads to immediate action, so the System Map is useful for any spacecraft reconfiguration task, spacecraft repair task, or mission decision assessment. It can be used in a fully autonomous, decentralized fashion by implanting on an FPGA as investigated in this proposal, or as a decision aid for a human crew.

Acoustic Reduction of Flow Separation, Phase I

Airfoils produce more lift and less drag when the boundary layer is attached to the airfoil. With most aircraft there are combinations of airspeed and angle of attack where the boundary layer at least partially detaches from the airfoil. Reducing boundary layer detachment will increase lift and reduce drag. This will reduce fuel consumption saving money for the operator and improving control for the pilot. Two methods are known to improve boundary layer attachment: heating the air and supplying acoustic pressure at an airspeed and airfoil shape dependent frequency. Carbon nanotubes can be used to produce heating elements as thin as a layer of paint. Because they are thin they can be heated and cooled hundreds of times per second. This combination means that carbon nanotube heating elements can be thermoacoustic speakers to both heat the air stream and generate the appropriate acoustic frequency to maximize boundary zone attachment. All system components have been demonstrated individually achieving TRL 2. Phase I will demonstrate multifrequency sound generation on surfaces in a wind tunnel using nanotube heating elements, and achieving TRL 3. Phase II will include medium seals wind tunnel tests verifying the effects and achieving TRL 5.

AMSR-MODIS Boundary Layer Water Vapor L3 Monthly 1 degree x 1 degree V2 (AMMBLWV) at GES DISC

Version 2 is the current version of this dataset. Version 2 uses an improved methodology to screen out high clouds. This data set provides an estimate the marine boundary layer water vapor beneath uniform cloud fields. Microwave radiometry from AMSR-E and AMSR-2 provides the total column water vapor, while the near-infrared imagery from MODIS provides the water vapor above the cloud layers. The difference between the two gives the vapor between the surface and the cloud top, which may be interpreted as the boundary layer water vapor.

Total Collected Statewide FY2018 v2

2019-08712-CCH

For the last 7 years, under Communities, Culture and Heritage, the documents related to Softball Nova Scotia's Funding Profile. Looking for all documents associated with the funding that Softball Nova Scotia would get from the Provincial Government

2018-08104-JUS

Data related to offender statistics about Warrant of Committals from 2000 to December 27, 2018.