A TBM-mounted system and method for quickly predicting compressive strength of rocks based on rock mineral composition and fabric characteristics. The system is mounted on gripper shoe's side surface of an open-type TBM, and includes a protective device, hydraulic device, servo motor, detection device, control system and a data comprehensive analysis platform. The hydraulic device is mounted on the protective device's side wall, for controlling movement of detection device horizontally. The servo motor controls rotation of detection device. The detection device collects a variety of geological parameters of target surrounding rock affecting compressive strength of rock and providing basic data for compressive strength prediction of rock. The control system controls work of hydraulic device, servo motor and each detection device. The data comprehensive analysis platform is connected to each detection instrument, receives geological parameters collected, processes and analyzes each parameter, and gives a prediction of compressive strength of rock.

There are described a system and method for performing ultrasound testing of a component comprising a first material layer and a second material layer bonded by an adhesive layer. The method comprises applying input ultrasound to the component to cause longitudinal propagation of ultrasonic guided waves through the first material layer and the adhesive layer; acquiring acoustic waves from the component, wherein the acoustic waves produced by the longitudinal propagation of the ultrasonic guided waves; generating a signal representation of the acoustic waves; comparing the signal representation of the acoustic waves to a plurality of reference signals to identify a characteristic of the adhesive layer; and outputting an output signal indicative of the characteristic of the adhesive layer.

Embodiments provide systems, apparatuses, and method for determining the Modulus of Elasticity (MOE) of a wood workpiece based on the travel time and/or velocity of an impact-induced acoustic stress wave. A housing may be configured to reduce extraneous acoustic waves and/or contaminants near an acoustic transducer to thereby reduce errors in the detection/identification of the acoustic stress wave. A computer system may be programmed to determine the MOE of the workpiece based on the travel time and/or velocity of multiple acoustic stress waves induced by corresponding impacts at respective locations along the end of the workpiece as the workpiece travels in a first direction. Corresponding methods and an induction system for rapidly and repeatedly striking the end of the workpiece are also described herein.

Embodiments provide systems, apparatuses, and method for determining the Modulus of Elasticity (MOE) of a wood workpiece based on the travel time and/or velocity of an impact-induced acoustic stress wave. A housing may be configured to reduce extraneous acoustic waves and/or contaminants near an acoustic transducer to thereby reduce errors in the detection/identification of the acoustic stress wave. A computer system may be programmed to determine the MOE of the workpiece based on the travel time and/or velocity of multiple acoustic stress waves induced by corresponding impacts at respective locations along the end of the workpiece as the workpiece travels in a first direction. Corresponding methods and an induction system for rapidly and repeatedly striking the end of the workpiece are also described herein.

A system comprising a computer readable storage device readable by the system, tangibly embodying a program having a set of instructions executable by the system to perform the following steps for detecting a sub-surface defect, the set of instructions comprising an instruction to receive scan data for a part from a transducer; an instruction to collect the scan data; an instruction to determine an indication in the scan data that indicates a distractor, wherein the indication is based on a learning phase module and an inference phase module that the processor uses to self-assess the indication; and an instruction to create a defect indication report.

A system comprising a computer readable storage device readable by the system, tangibly embodying a program having a set of instructions executable by the system to perform the following steps for indication confirmation for detecting a sub-surface defect, the set of instructions comprising: an instruction to initialize a transducer starting location and a transducer orientation responsive to a prior determination of a potential flaw location; an instruction to optimize an observation point of the transducer responsive to the transducer starting location and the transducer orientation responsive to a flaw response model; an instruction to move the transducer to the observation point location and orientation; an instruction to collect the scan data at the observation point location and orientation; and an instruction to analyze the scan data to extract a measure of the flaw response model; and an instruction to update the flaw response model.

A system for detecting a sub-surface defect comprising a transducer fluidly coupled to a part located in a tank containing a liquid configured to transmit ultrasonic energy, the transducer configured to scan the part to create scan data of the scanned part; a pulser/receiver coupled to the transducer configured to receive and transmit the scan data; a processor coupled to the pulser/receiver, the processor configured to communicate with the pulser/receiver and collect the scan data; and the processor configured to detect the sub-surface defect and the processor configured to have a sub-surface defect confidence assessment and a prioritization for further human evaluation.

A method of evaluating tissue stiffness of a target area includes positioning an ultrasound elasticity imaging apparatus adjacent a surface of an area of tissue where the target area is located and applying a dynamic range of force to the tissue. A plurality of ultrasound beams can be directed at the tissue and a plurality of ultrasound echoes can be acquired from the strained tissue in the target area to calculate an amount of developed strain within the target area.

A method of evaluating tissue stiffness of a target area includes positioning an ultrasound elasticity imaging apparatus adjacent a surface of an area of tissue where the target area is located and applying a dynamic range of force to the tissue. A plurality of ultrasound beams can be directed at the tissue and a plurality of ultrasound echoes can be acquired from the strained tissue in the target area to calculate an amount of developed strain within the target area.

Methods and systems for characterizing multiple properties of a cement composition for use at downhole conditions using ultrasonic analysis tools are provided. In some embodiments, the methods comprise: transmitting at least a first p-wave and a second p-wave having different frequencies through a cement composition; determining velocities of the first and second p-waves through the sample; transmitting at least a third p-wave having a third frequency through the cement composition while allowing the cement composition to at least partially hydrate, wherein the third frequency is higher than the second frequency; determining at least a velocity of the third p-wave through the cement composition; based at least in part on the velocities of the p-waves, determining at least the compressibility, Poisson's ratio, Young's modulus, and shear modulus of the cement composition.