A rapid ultrasonic dual-wave calibrated detection method includes: numbering a plurality of high strength bolts; searching, in a database in equipment, a calibrated empirical value R.sub.0e of initial ratios R.sub.0 of ultrasonic transverse wave transit time to ultrasonic longitudinal wave transit time for bolts with entirely or partially same specification data, or a calibrated empirical value k.sub.e of a slope k of variation of a bolt tension with a ratio of transverse wave transit time to longitudinal wave transit time; measuring ratios R.sub.i of the ultrasonic transverse wave transit time to the longitudinal wave transit time for the plurality of high strength bolts; acquiring a pretightening axial force value, and using the pretightening axial force value in place of an average value of tensions of the plurality of high strength bolts, calculating calibrated another parameter k.sub.e or R.sub.0e; and calculating axial forces of the high strength bolts.

According to one embodiment, a processing system sets a detector to a prescribed position. The detector includes a plurality of detection elements arranged along a first direction and a second direction. The second direction crosses the first direction. The processing system causes the detector to perform a probe of a weld portion of a joined body. The probe includes a transmission of an ultrasonic wave and a detection of a reflected wave. The processing system calculates a center position of the weld portion in a first plane along the first and second directions based on intensity data. The intensity data is of an intensity of the reflected wave obtained by the probe. The processing system performs a position adjustment of moving the detector along the first plane to reduce a distance between the center position and a position of the detector in the first plane.

Apparatus, systems, and methods for pipeline condition assessment using phased array ultrasonic transducers are disclosed. A sensing module for assessing pipeline condition comprises a body; and one or more phased array ultrasonic transducers (PAUTs) assembled on the surface of the body, each PAUT configured to emit multi-channel ultrasonic waves for scanning a pipe wall.

The present invention relates to an ultrasonic testing apparatus with a variable frequency, which can automatically change the frequency according to thickness and thereby detect internal defects in objects having various thicknesses. The ultrasonic testing apparatus may comprise: a nozzle jetting a medium toward an object so as to form a medium column; and a plurality of probes disposed in the nozzle so as to generate ultrasonic waves.

The present invention provides a device for peening by coupling a laser shock wave and an ultrasonic shock wave in real time. The device includes a synchronization device, a laser device, two ultrasonic shock devices, a working platform and a control system. An upper casing is supported above a base through second hydraulic cylinders. Two supporting beams are provided under the upper casing through the second hydraulic cylinders. Limiting slide rails are provided under the upper casing through first hydraulic cylinders. The two ultrasonic shock devices are connected through the synchronization device, which is configured to synchronize movement and rotation of the two ultrasonic shock devices. The laser device is configured to generate a laser beam to pass through the upper casing and irradiate a surface of a workpiece. The control system controls the laser device to lag behind the two ultrasonic shock devices to perform laser shock.

Method and apparatus estimate the length of a fatigue crack in sheet metal structures from individual acoustic emission (AE) signals without recourse to the AE signal history or AE signal amplitude. AE energy generated at one crack tip travels to the other tip and establishes a standing wave pattern that has a characteristic dominant frequency which depends on the crack length. Therefore, crack length information can be recovered from the analysis of the standing wave frequency present in the high-frequency AE signals. We found that the AE signals predicted through numerical simulation have embedded in the high-frequency information that can be related directly to crack size. This information is manifested as peaks in the frequency spectrum that shift as crack length changes. The predictive AE models were tuned against experimentally observed AE signals and a methodology for predicting crack length from AE signals was established. This methodology was utilized to develop machine learning algorithms for predicting crack length directly from individual AE signals. Specific artificial intelligence methodology presently disclosed can estimate in real-time the crack length information from the high-frequency AE waveforms during fatigue crack growth.

A system for estimating both thickness and wear state of refractory material (1) of a metallurgical furnace (12), including at least on processor including a database of simulated frequency domain data named simulated spectra representing simulated shock waves reflected in simulated refractory materials of known state and thickness, each simulated spectrum being correlated with both known state and thickness data of the considered simulated refractory material, wherein the at least one processor is configured to record a reflected shock wave as a time domain signal, and to convert it into frequency domain data named experimental spectrum, and are further configured to compare the experimental spectrum with at least a plurality of simulated spectra from the database, to determine the best fitting simulated spectrum with the experimental spectrum and to estimate thickness and state of the refractory material (1) of the furnace (12) using known state and thickness data correlated with the best fitting simulated spectrum.

There is provided a method for evaluating the cleanliness of a steel material by an ultrasonic flaw detection method enabling rapid acquisition of highly reliable data. Ultrasonic flaw detection is performed to detect a flaw in at least one part in the range of 90% or more and 100% or less of a steel material (for example, round bar 2) at a radial position where the center of the steel material is set as 0% and the surface is set as 100%, and then the cleanliness is evaluated based on the dimension and the number of inclusions in the steel material obtained by the ultrasonic flaw detection.

A damage evaluation device includes: a phased array probe that irradiates an ultrasonic signal from a surface of an inspection metal toward an inside of the inspection metal and detects a reflection signal reflected in a predetermined region inside the inspection metal; and an arithmetic processor. The arithmetic processor sets planes parallel to each other in an inspection region, calculates pixel data by quantifying the reflection signal from segments set in each of the planes; calculates a scattering degree of the pixel data, and evaluates damage of the inspection metal based on the scattering degree.

An elastic matrix determination method and a vibration analysis method for a laminated iron core, with which it is possible to optimally determine an elastic modulus of a laminated iron core. When a vibration analysis of a laminated iron core obtained by laminating steel sheets is performed by using a configuration expression indicating a relationship between stress and strain in a matrix display by using an elastic matrix, a shear modulus in two surfaces including a laminating direction of the laminated iron core included in the elastic matrix in the configuration expression is determined in consideration of slip between laminated steel sheets.