A testing machine comprising: (a) a transmitter; (b) a receiver opposing the transmitter; and (c) a compressibility sensor in communication with the transmitter, the receiver, or both, wherein the testing machine transmits a signal between the transmitter and the receiver to perform ultrasonic testing and further performs compressibility testing of one or more objects positioned between the transmitter and the receiver.

A testing machine comprising: (a) a transmitter; (b) a receiver opposing the transmitter; and (c) a compressibility sensor in communication with the transmitter, the receiver, or both, wherein the testing machine transmits a signal between the transmitter and the receiver to perform ultrasonic testing and further performs compressibility testing of one or more objects positioned between the transmitter and the receiver.

An impact slug includes a first slug segment and a second slug segment arranged in sequence along a length direction of the impact slug. The second slug segment is connected to the first slug segment.

An impact slug includes a first slug segment and a second slug segment arranged in sequence along a length direction of the impact slug. The second slug segment is connected to the first slug segment.

Certain embodiments may generally relate to structural damage detection. An embodiment may be directed to method for identifying a presence and a location of structural damage. Such method may include training a convolutional neural network (CNN) for a joint of a structure, sending instructions to a modal shaker to induce an input to the structure, receiving, as a result of the induced input, a raw acceleration signal at the joint, computing, based on the trained CNN and the raw acceleration signal, an index value of the joint, and identifying, according to the index value, a presence of a location of structural damage of the structure. In a further embodiment, the index value represents a likelihood of damage at the joint.

Certain embodiments may generally relate to structural damage detection. An embodiment may be directed to method for identifying a presence and a location of structural damage. Such method may include training a convolutional neural network (CNN) for a joint of a structure, sending instructions to a modal shaker to induce an input to the structure, receiving, as a result of the induced input, a raw acceleration signal at the joint, computing, based on the trained CNN and the raw acceleration signal, an index value of the joint, and identifying, according to the index value, a presence of a location of structural damage of the structure. In a further embodiment, the index value represents a likelihood of damage at the joint.

A bending apparatus for a sample is disclosed. The bending apparatus includes a translation mechanism that translates a vertical displacement/force into a horizontal displacement/force for bending. Components of the bending apparatus are fabricated from a strong, radiolucent material. In these ways, the bending apparatus is compatible with micro-CT imaging, and as such, may be used to bend a sample during imaging. In a particular application, the bending apparatus may be used to measure biomechanical properties of a bone, such as bone strength, bone material properties, fracture toughness, and fracture propagation.

A bending apparatus for a sample is disclosed. The bending apparatus includes a translation mechanism that translates a vertical displacement/force into a horizontal displacement/force for bending. Components of the bending apparatus are fabricated from a strong, radiolucent material. In these ways, the bending apparatus is compatible with micro-CT imaging, and as such, may be used to bend a sample during imaging. In a particular application, the bending apparatus may be used to measure biomechanical properties of a bone, such as bone strength, bone material properties, fracture toughness, and fracture propagation.

Disclosed is a testing device for measuring interfacial shear properties between fibers and media, including a main body, which is a rectangular plate-like structure with L-shaped plates provided at the bottom ends of the main body, a connecting rod provided at a top right of the main body, a groove provided at the top of the main body; and four rotating grooves are provided inside the groove. The rotating grooves are cylindrical structures with raised centers at both ends; and a mounting piece is installed above the left end of the main body; a magnet of a displacement micrometer is connected to a tension trolley, a high-definition camera is turned on, weights are added into a loading bucket and the fiber movement is observed until the fiber is pulled out or sliding friction occurs, and then the camera is stopped and accurate data is tested.

Disclosed is a testing device for measuring interfacial shear properties between fibers and media, including a main body, which is a rectangular plate-like structure with L-shaped plates provided at the bottom ends of the main body, a connecting rod provided at a top right of the main body, a groove provided at the top of the main body; and four rotating grooves are provided inside the groove. The rotating grooves are cylindrical structures with raised centers at both ends; and a mounting piece is installed above the left end of the main body; a magnet of a displacement micrometer is connected to a tension trolley, a high-definition camera is turned on, weights are added into a loading bucket and the fiber movement is observed until the fiber is pulled out or sliding friction occurs, and then the camera is stopped and accurate data is tested.