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Titlebook: Proceedings of the Canadian Society for Civil Engineering Annual Conference 2023, Volume 11; Structures Track Serge Desjardins,Gérard J. Po

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楼主: HEMI
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Visual Stress Grading Automation Using Image Processing and Segmentation Analysis, influenced by the presence of visible defects such as knots, grain deviations, and splits. Multiple models were developed to predict the mechanical performance of timber by means of visual stress grading. Stress modification factors are determined according to the frequency of knot sizes and slope
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A Comparative Study on the Fracture Prediction Capability of XFEM and FEM for Tensile Specimens,n predicting damage initiation and evolution in a tensile specimen. Although the comparison of the two mentioned techniques can be made for various specimens such as SENB, SENT, CT, and standard dog-bone specimens, a rectangular cuboid specimen made of API X65 pipeline steel with a through-thickness
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Extraction of Bolt Shear Forces in Bolted Connections Using Finite Element Method,e exists for short-bolted connections. However, a recent study at McGill University on conventionally constructed braced frames (CCBFs) reported that the shear force was distributed nonuniformly between the bolt group even though the connections were short. Based on this finding, a better understand
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Sultanur Ashikin,Sifat Muin,Asif Iqbal responses were clustered to form index sub-scores that measured attitudes toward five education domains: Administration and Coordination, Human Relations, Teacher Support, Classroom Learning, and Evaluation. .Systematic planned comparisons were conducted to determine the most978-94-6209-959-3
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Adam Hassan,Fadi Oudah responses were clustered to form index sub-scores that measured attitudes toward five education domains: Administration and Coordination, Human Relations, Teacher Support, Classroom Learning, and Evaluation. .Systematic planned comparisons were conducted to determine the most978-94-6209-959-3
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Benefits of Autonomous Drone Flights for Enhanced Bridge Inspections,ation. The benefits for Department of Transportations (DOT) of developing procedures for autonomous drone flights and using of AI software are discussed, and short to long-term recommendations are presented.
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