Abstract: Provided is a bridge inspection robot that avoids obstacles is provided. An ascending/descending portion corresponds to a gap distance between a first and second girder flange provided at the upper side of a bridge pier. An obstacle detection portion detects the obstacle and a photographing altitude control portion detects an altitude change of an image photographing portion according to obstacle height when the robot main body climbs up/down or avoids the obstacle, and adjusts a photographing height to correspond to the altitude change. A position calculation portion measures a mobile position of the robot main body corresponding to a consecutively photographed image, to calculate axis coordinates. An image processing portion receives the consecutively photographed images and coordinates, to confirm the crack elements corresponding to images and produce an image of an actual position coordinate of the corresponding image.

Abstract: Provided is a method of estimating a load carrying capacity of a bridge. The load carrying capacity estimation method includes the steps of: estimating a mode coefficient of the bridge using an acceleration signal obtained from an accelerometer that is installed in the bridge; updating an analysis model of the bridge using the estimated mode coefficient; and estimating a rating factor of the bridge by applying a dead load and a design live load to the updated analysis model.

Abstract: Provided is a method of estimating a load carrying capacity of a bridge. The load carrying capacity estimation method includes the steps of: estimating a mode coefficient of the bridge using an acceleration signal obtained from an accelerometer that is installed in the bridge; updating an analysis model of the bridge using the estimated mode coefficient; and estimating a rating factor of the bridge by applying a dead load and a design live load to the updated analysis model.