A detection apparatus according to an embodiment includes a convergence member and a sensor. The convergence member comes into contact with a test object and has an elastic-modulus distribution in which an elastic modulus decreases as a distance from a center of the convergence member increases. The sensor is placed in an area including the center of the convergence member. The sensor detects, through the convergence member, an elastic wave generated from the test object.

A method and system for determining acoustic emission (AE) parameters of rock based on moment tensor analysis. The method includes: constructing, according to macroscopic mechanical parameters, a numerical model of a rock specimen to be tested; loading the numerical model through particle flow code software to simulate a failure process of the rock specimen to be tested, and identifying fracturing time and positions of microcracks when the PFC software loads the numerical model; determining, when the PFC software loads the numerical model, if rock grains of two sequentially generated microcracks include common rock grains, and an interval for generating the two microcracks is less than duration time of a present AE event, the two microcracks as a same AE event; taking geometric centers of all microcracks within a spatial range of an AE event as source positions of the corresponding AE event; and determining AE parameters of the AE event.

Disclosed is a dual channel nondestructive testing method for a rock bolt and related devices. The method includes: determining a target phase difference and an instantaneous phase difference of the first received signal and the second received signal; determining an integral instantaneous phase difference between the first received signal and the second received signal based on the target phase difference and an instantaneous phase difference; determining a length of the exposed section of the rock bolt, a length of the rock bolt and a position of a grouting defect based on the integral instantaneous phase difference, a first velocity of the acoustic signal propagating in an exposed section of the rock bolt and a second velocity of the acoustic signal propagating in an anchor section of the rock bolt.

A method for identifying prestress force in single-span or multi-span PCI girder-bridges is provided. The method includes non-destructive steps for obtaining a set of parameters of the PCI girder-bridge under investigation, and combines various analyses to identify the change of prestress force. Therefore, the losses of prestress force are tracked and predicted. The method does not cause structural damages along the PCI girder-bridge, and the cost of the identification is significantly decreased.

A tester for evaluating pullout load capacity and bond quality of anchor bolts embedded in concrete includes a Schmidt hammer for measuring a rebound number and an ultrasonic pulse velocity tester for measuring the transit time of a pulse transmitted through concrete surrounding an anchor bolt. The rebound number and the transit time are combined and matched against a database record which identifies the pullout load capacity and the bond quality. The transit time is matched to thresholds of transit times associated with porosity, internal cracking, air voids, and water pockets located around the embedded anchor bolt. The Schmidt hammer is further modified by the incorporation of a digital level for measuring the vertical and horizontal angles of inclination of the plunger with the concrete surface, a guide tube for supporting the plunger, and by using a convex plunger tip for improved registration with anchor bolt head.

Waves from cement bond logging with a sonic logging-while-drilling tool (LWD-CBL) are often contaminated with tool waves and may yield biased CBL amplitudes. The disclosed LWD-CBL wave processing corrects the first echo amplitudes of LWD-CBL before calculating the BI. The LWD-CBL wave processing calculates a tool wave amplitude and a phase angle difference as the difference of the phases between the tool waves and casing waves. The tool waves are then used to correct the LWD-CBL casing wave amplitude and remove errors introduced from tool waves. In conjunction with the sets of operations described, the LWD-CBL wave processing also include array preprocessing operations. Array preprocessing may employ variation of bandpass filtering and frequency-wavenumber (F-K) filtering operations to suppress tool wave.

Deriving a dangerous area of a road based on a vehicle's noise generated on the road or analyzing a road surface condition based on a driving noise for each vehicle type. An audio signal is collected by a sensor device and send to a noise processing unit. The noise processing unit generates an attenuated audio signal by attenuating a noise other than a noise-of-interest including at least one of a vehicle horn noise and a vehicle sudden brake noise in the received audio signal. An information processing unit detects the noise-of-interest by analyzing the attenuated audio signal through a learned detection model, and establishes a road area within a predetermined radius from the sensor device as the dangerous area of the road based on an accumulated number of times the noise-of-interest is detected.

The present disclosure provides systems and methods for estimating the strength of a concrete foundation. The disclosed systems and methods can be used to estimate compressive strength of below-grade concrete without excavation. A method of estimating compressive strength may include determining compressive strength measurements corresponding to surface wave speeds for a plurality of concrete test specimens, determining a speed of surface waves in the concrete foundation, and estimating compressive strength of the concrete foundation based on the compressive strength measurements and corresponding surface wave speeds for the plurality of concrete test specimens and the speed of surface waves in the concrete foundation.

Provided are a structure inspection method and a structure inspection system capable of easily detecting an abnormal location and inspecting an internal state of the abnormal location in detail. The structure inspection method includes: a step of capturing a thermal image of a surface of a structure with an infrared camera; a step of detecting a first region estimated to have an internal abnormality, on the basis of the thermal image; and a step of measuring an internal state of the first region in a case where the first region is detected. In the step of measuring the internal state of the first region, the internal state of the first region is measured by capturing an image that visualizes the internal state of the first region using an electromagnetic wave or an ultrasonic wave.

The present invention discloses a visual ultrasonic nondestructive testing device and method for a deep/long-hole pipe. The device is composed of an ultrasonic measurement module, a mechanical motion module, a control module, and a coupling injection and assistance module. The ultrasonic measurement module includes an ultrasonic pulse transmitter/receiver, and the ultrasonic transmitter/receiver includes a high-speed analog/digital (A/D) converter; the mechanical motion module includes a scanning device, a probe and a holding device thereof, and a magnetic drive device. A scanning device can move in two directions, that is, an X-axis on which a magnetic driving wheel steps and a Y-axis on which a module body tests. During the scanning process, on the X-axis, a stepping motor drives a synchronous wheel-belt transmission, so that the magnetic driving wheel is rotated to achieve the purpose of stepping; on the Y-axis, a stepping motor on the module body drives the probe to reciprocate.