A pressure-preserving conventional triaxial compression loading apparatus of the present invention includes a pressure vessel, an upper piston rod, a lower piston rod, and an annular oil bag assembly. Hollow chambers of the pressure vessel in vertical communication sequentially include an upper chamber, an upper sealed chamber, a confining pressure chamber, a lower sealed chamber, and a lower chamber from top to bottom. The annular oil bag assembly is placed in the confining pressure chamber. When an annular inner chamber of an annular oil bag is filled with medium, an outer wall of the annular oil bag and an inner wall of the confining pressure chamber are attached together. A fidelity specimen is placed in a specimen chamber defined by a lower end surface of the upper piston rod, an upper end surface of the lower piston rod, and an inner wall of the annular oil bag. A variety of measuring sensors are disposed in the annular inner chamber of the annular oil bag. The pressure-preserving conventional triaxial compression loading apparatus of the present invention may accommodate a fidelity specimen, and use the annular oil bag assembly and the upper and lower piston rods to perform a pressure-preserving conventional triaxial loading test on the fidelity specimen, so that test data is more accurate and reliable, to help to study the mechanical behavior of in-situ rock and measure their properties more faithfully.

A pressure-preserving conventional triaxial compression loading apparatus of the present invention includes a pressure vessel, an upper piston rod, a lower piston rod, and an annular oil bag assembly. Hollow chambers of the pressure vessel in vertical communication sequentially include an upper chamber, an upper sealed chamber, a confining pressure chamber, a lower sealed chamber, and a lower chamber from top to bottom. The annular oil bag assembly is placed in the confining pressure chamber. When an annular inner chamber of an annular oil bag is filled with medium, an outer wall of the annular oil bag and an inner wall of the confining pressure chamber are attached together. A fidelity specimen is placed in a specimen chamber defined by a lower end surface of the upper piston rod, an upper end surface of the lower piston rod, and an inner wall of the annular oil bag. A variety of measuring sensors are disposed in the annular inner chamber of the annular oil bag. The pressure-preserving conventional triaxial compression loading apparatus of the present invention may accommodate a fidelity specimen, and use the annular oil bag assembly and the upper and lower piston rods to perform a pressure-preserving conventional triaxial loading test on the fidelity specimen, so that test data is more accurate and reliable, to help to study the mechanical behavior of in-situ rock and measure their properties more faithfully.

An apparatus and method for detecting an initial lubrication of a moving component including an ultrasonic sensor for detecting an ultrasonic output signal from the moving component and a processor for operating on the output signal. The processor determines if there has been an initiation of a lubrication operation. After identifying the initiation of the lubrication operation, the processor monitors the ultrasonic output signal received from the ultrasonic sensor to detect a momentary increase in the amplitude of the ultrasonic output signal above a level that indicates a need for lubrication, and which is indicative of an initial interaction between a lubricant and the moving component. Upon detecting the momentary increase in the amplitude, the processor tracks a progress of the lubrication operation by detecting for a sustained decrease in the amplitude of the ultrasonic output signal received from the ultrasonic sensor.

Provided is a test system for hard rock breaking by a microwave intelligent loading based on true triaxial stress, including: a true triaxial stress loading device consisting of a loading frame and a rock sample moving structure; a microwave-induced hard rock breaking device consisting of an excitation cavity, a rectangular waveguide, a magnetron, a thermocouple, a circulator, a cold water circulation device, a flowmeter, a power meter, an automatic impedance tuner, a coupler, a microwave heater and a shielding cavity; and a dynamic rock response monitoring and intelligent microwave parameter control system consisting of a CCD industrial camera, a temperature acquisition device and an anti-electromagnetic high-temperature resistant acoustic wave-acoustic emission integrated sensor. According to the test system, the microwave-induced hard rock breaking test, dynamic monitoring temperature and rock breaking in microwave-induced breaking process and intelligent control over microwave power and heating time are achieved.

Methods, systems, and computer storage media for providing an indication of an integrity of an object based on a non-invasive assessment of the integrity of the object using acoustic signature management engine in object integrity sensing system. In operation, an aggregate object-intermediate-medium sound of an object in an intermediate medium is detected (e.g., via sensors). An acoustic signature of the aggregate object-intermediate-medium sound is generated as a processed acoustic channel associated with statistical measurements. A reference acoustic signature of the object and intermediate medium is accessed. The reference acoustic signature is associated with an acoustic signature computation model, that generates reference acoustic signatures based on a mean and standard deviation measurements of input signals transmitted through the object and intermediate medium. A determination whether the object has impaired integrity is determined based on a quantified difference between the acoustic signature of the aggregate object-intermediate-medium sound and the reference acoustic signature.

Methods, systems, and computer storage media for providing an indication of an integrity of an object based on a non-invasive assessment of the integrity of the object using acoustic signature management engine in object integrity sensing system. In operation, an aggregate object-intermediate-medium sound of an object in an intermediate medium is detected (e.g., via sensors). An acoustic signature of the aggregate object-intermediate-medium sound is generated as a processed acoustic channel associated with statistical measurements. A reference acoustic signature of the object and intermediate medium is accessed. The reference acoustic signature is associated with an acoustic signature computation model, that generates reference acoustic signatures based on a mean and standard deviation measurements of input signals transmitted through the object and intermediate medium. A determination whether the object has impaired integrity is determined based on a quantified difference between the acoustic signature of the aggregate object-intermediate-medium sound and the reference acoustic signature.

A shot processing system according to an aspect includes a shot processing apparatus to project shot media, a measurement device output a signal waveform related to a wave generated due to collision of the shot media, a control device to control the shot processing apparatus. The control device includes a processing condition acquisition unit to acquire a required intensity, a control unit to control the shot processing apparatus to cause the shot processing apparatus to perform the shot processing to the measurement device under a first shot condition, an intensity analysis unit to acquire a measured intensity by analyzing the signal waveform output by the shot processing to the measurement device, and a correction unit to correct a shot condition of the shot processing apparatus from the first shot condition to a second shot condition to reduce a difference between the required intensity and the measured intensity.

A shot processing system according to an aspect includes a shot processing apparatus to project shot media, a measurement device output a signal waveform related to a wave generated due to collision of the shot media, a control device to control the shot processing apparatus. The control device includes a processing condition acquisition unit to acquire a required intensity, a control unit to control the shot processing apparatus to cause the shot processing apparatus to perform the shot processing to the measurement device under a first shot condition, an intensity analysis unit to acquire a measured intensity by analyzing the signal waveform output by the shot processing to the measurement device, and a correction unit to correct a shot condition of the shot processing apparatus from the first shot condition to a second shot condition to reduce a difference between the required intensity and the measured intensity.

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.

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.