140 research outputs found

    Processes of Small Culvert Inspection and Asset Management

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    Proper drainage is essential for pavement to maximize life expectancy and minimize maintenance. Culverts are a critical asset to facilitate drainage. As with many assets, culverts deteriorate with age and require regular inspection. It is important to have a formalized process of inventory and inspection that is efficient and can effectively support culvert asset management. The current culvert inspection and asset management processes for the Indiana Department of Transportation (INDOT) have been modeled over the years on the bridge inspection process and were recently evaluated. A study was undertaken to further evaluate the current culvert asset management practices. Approximately 700 small culverts and catch basins were visited and evaluated using both the traditional culvert inspection practices and a revised asset management evaluation scale. The paper summarizes the findings of this evaluation and concludes by making recommendations for process improvements. These recommendations include the addition of photos to the culvert database, a revised rating scale, advanced planning of inspection schedules, a formalized process for culvert reassessments, the creation of a separate catch basin inlet inventory, various improvements to the inventory process, and a dedicated staff to complete inspections efficiently. It is also noted that building a reliable database will show historical trends and can eventually lead to a study of small culvert inspections and culvert longevity, which will lead to improved asset management

    Processes of Small Culvert Inspection and Asset Management

    Get PDF
    Proper drainage is essential for pavement to maximize life expectancy and minimize maintenance. Culverts are a critical asset to facilitate drainage. As with many assets, culverts deteriorate with age and require regular inspection. It is important to have a formalized process of inventory and inspection that is efficient and can effectively support culvert asset management. The current culvert inspection and asset management processes for the Indiana Department of Transportation (INDOT) have been modeled over the years on the bridge inspection process and were recently evaluated. A study was undertaken to further evaluate the current culvert asset management practices. Approximately 700 small culverts and catch basins were visited and evaluated using both the traditional culvert inspection practices and a revised asset management evaluation scale. The paper summarizes the findings of this evaluation and concludes by making recommendations for process improvements. These recommendations include the addition of photos to the culvert database, a revised rating scale, advanced planning of inspection schedules, a formalized process for culvert reassessments, the creation of a separate catch basin inlet inventory, various improvements to the inventory process, and a dedicated staff to complete inspections efficiently. It is also noted that building a reliable database will show historical trends and can eventually lead to a study of small culvert inspections and culvert longevity, which will lead to improved asset management

    Evaluation of the anisotropic mechanical properties of reinforced polyurethane foams

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    The mechanical impact of adding milled glass fibers and nanoparticles at different mass fractions to low-density (relative density < 0.2) polyurethane (PU) foams is investigated. Tensile, compressive, and shear stress–strain curves are measured in the plane parallel to the foam-rise direction and the in-plane components of the elastic modulus are determined in order to assess the mechanical anisotropy of the foams. Power-law relationships between the moduli and apparent density are established for pure PU foams and used as a baseline to which the properties of composite foams are compared. Cellular mechanics models based on both rectangular and Kelvin unit-cell geometries are employed to estimate changes in the cell shape based on the mechanical anisotropy of composite foams, and the model results are compared with direct observations of the cellular structure from microscopy. A single measure of foam stiffness reinforcement is defined that excludes the effects of the apparent foam density and cell shape. The analysis reveals the large impact of cell shape on the moduli of the glass-fiber and nanocomposite foams. Nanocomposite foams exhibit up to an 11.1% degree of reinforcement, and glass-fiber foams up to 18.7% using this method for quantifying foam reinforcement, whereas a simple normalization to the in-plane modulus components of the pure PU foam would indicate from ?40.5% to 25.9% reinforcement in nanocomposite foams, and ?7.5 to 20.2% in glass-fiber foams

    The optical nanosizer – quantitative size and shape analysis of individual nanoparticles by high-throughput widefield extinction microscopy

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    Nanoparticles are widely utilised for a range of applications, from catalysis to medicine, requiring accurate knowledge of their size and shape. Current techniques for particle characterisation are either not very accurate or time consuming and expensive. Here we demonstrate a rapid and quantitative method for particle analysis based on measuring the polarisation-resolved optical extinction cross-section of hundreds of individual nanoparticles using wide-field microscopy, and determining the particle size and shape from the optical properties. We show measurements on three samples consisting of nominally spherical gold nanoparticles of 20 nm and 30 nm diameter, and gold nanorods of 30 nm length and 10 nm diameter. Nanoparticle sizes and shapes in three dimensions are deduced from the measured optical cross-sections at different wavelengths and light polarisation, by solving the inverse problem, using an ellipsoid model of the particle polarisability in the dipole limit. The sensitivity of the method depends on the experimental noise and the choice of wavelengths. We show an uncertainty down to about 1 nm in mean diameter, and 10% in aspect ratio when using two or three color channels, for a noise of about 50 nm^2 in the measured cross-section. The results are in good agreement with transmission electron microscopy, both 2D projection and tomography, of the same sample batches. Owing to its combination of experimental simplicity, ease of access to statistics over many particles, accuracy, and geometrical particle characterisation in 3D, this 'optical nanosizer' method has the potential to become the technique of choice for quality control in next-generation particle manufacturing

    Fatigue behaviour of SiC p -reinforced aluminium composites in the very high cycle regime using ultrasonic fatigue

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    The fatigue behaviour of a 2009/SiC/15p-T4 DRA composite has been examined in the very high cycle fatigue (VHCF) regime where 10 7 ≤ N f ≤ 10 9 cycles. Ultrasonic fatigue was used to achieve the very high cycle counts. Careful processing yielded a composite with a very homogeneous particle distribution with minimal clustering. Fatigue crack initiation was observed almost exclusively at AlCuFe inclusions with no crack initiation observed at SiC particle clusters. Fatigue lives at a given stress level exhibited minimal scatter and subsurface crack initiation was observed in all cases. This behaviour is consistent with the presence of a low number density of critical inclusions that are responsible for crack initiation very early in fatigue life.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73177/1/j.1460-2695.2006.00998.x.pd

    Abstracts from the Food Allergy and Anaphylaxis Meeting 2016

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    Modelling of the Viscoplastic Behaviour of Homogeneous Solid Propellants

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    This study is concerned with the mechanical properties of homogenous solid propellants. The experimental results demonstrate the high strain rate sensitivity of these materials. A modified viscoplastic model of the Bodner- Partom type was applied to simulate the nonlinear behaviour of solid propellants when subjected to uni-axial loading conditions. The material parameters of the constitutive law were identified numerically using the evolutionary algorithm. The capability of the proposed approach was investigated for a representative solid fuel sample. The efficiency of the method is discussed
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