Combined plate-beam unit analysis method considering residual stress effect of orthotropic plate

    公开(公告)号:US12129610B2

    公开(公告)日:2024-10-29

    申请号:US17355466

    申请日:2021-06-23

    CPC classification number: E01D19/125 E01D2/04 G01L1/00

    Abstract: A combined plate-beam unit analysis method considering a residual stress effect of an orthotropic plate, which is used for analyzing an orthotropic steel bridge deck welded by a top plate of a bridge deck and a trapezoidal rib, the top plate of the bridge deck is analyzed by a flat shell unit, while each sub-plate forming a trapezoidal rib is analyzed by a plate-beam unit. The welding residual stress of a top plate and a trapezoidal rib is obtained by a residual stress self-balancing condition, and the initial deformation of a top plate and left and right web plates of a trapezoidal rib is obtained by the stress-strain relationship. The combined plate-beam unit analysis method has the advantages of less freedom and high calculation accuracy, so it is especially suitable for structural analysis of the trapezoidal rib orthotropic plates.

    Load estimation apparatus, method and non-transitory computer-readable storage medium

    公开(公告)号:US12038343B2

    公开(公告)日:2024-07-16

    申请号:US17186368

    申请日:2021-02-26

    CPC classification number: G01L5/16 G01L1/00

    Abstract: According to one embodiment, a load estimation apparatus includes processing circuitry. The processing circuitry acquires sensor data from a measurement target, estimates an operation of a body part of the measurement target, based on the sensor data, estimates an operation load of the body part, based on information on the operation, estimates a posture of the body part, based on the sensor data, estimates a posture load of the body part, based on information on the posture, estimates a first cumulative load, based on the operation load, and estimates a second cumulative load, which requires a longer load elimination time than the first cumulative load, based on the operation load and the posture load.

    Method for identifying spatial-temporal distribution of vehicle loads on bridge based on densely connected convolutional networks

    公开(公告)号:US11692885B2

    公开(公告)日:2023-07-04

    申请号:US17012034

    申请日:2020-09-03

    Abstract: The present invention proposes a method for identifying the spatial-temporal distribution of the vehicle loads on a bridge based on the DenseNet. The method includes five steps: firstly, mounting a plurality of cameras in different positions of a bridge, acquiring images of the bridge from different directions, and outputting video images with time tags; secondly, acquiring multichannel characteristics of vehicles on the bridge by using DenseNet, including color characteristics, shape characteristics and position characteristics; thirdly, analyzing the data and characteristics of the vehicles from different cameras at a same moment to obtain vehicle distribution on the bridge at any time; fourthly, continuously monitoring the vehicle distribution in a time period to obtain a vehicle load situation on any section of the bridge; and finally, integrating the time and space distribution of the vehicles to obtain spatial-temporal distribution of the bridge.

Patent Agency Ranking