The present invention relates to a deep rock in situ environment reconstruction and integrated three-dimensional mechanical-thermo-acousto-seismic-flow testing method, which comprises: preparing a cubic sample; placing the cubic sample in a sample holder; extending the 6 indenters to butt with the sample holder; butting 6 butting indenters with the 6 indenters; butting each of 6 hydraulic actuators with one of the butting indenters, performing stress loading on the cubic sample by the hydraulic actuator, filling a fluid medium into the cubic sample by a percolation medium channel, and dynamically measuring related parameters. The present application can achieve three-way multi-parameter synchronous monitoring and acquisition of deformation, acoustic emission, ultrasonic wave, temperature field, percolation field and heat flow field.

A method for classifying a glass object via acoustic analysis by a classifying apparatus is provided. The method including: receiving, by a processor, sound data of a knock sound generated by applying a knocking operation on the glass object; determining, by the processor, a type of the glass object by performing a knock-sound analysis to the sound data, wherein the type of the glass object includes an organic glass and an inorganic glass; if the type of the glass object is determined as the inorganic glass, receiving, by the processor, echo data of an echo induced by applying an ultrasonic-echo operation on the glass object; and determining, by the processor, a further type of the glass object by performing an echo-decay analysis to the echo data, wherein the further type of the glass object includes a crystal glass, a borosilicate glass and a soda-lime glass.

The present invention relates to a deep rock in situ environment reconstruction and integrated three-dimensional mechanical-thermo-acousto-seismic-flow testing method, which comprises: preparing a cubic sample; placing the cubic sample in a sample holder; extending the 6 indenters to butt with the sample holder; butting 6 butting indenters with the 6 indenters; butting each of 6 hydraulic actuators with one of the butting indenters, performing stress loading on the cubic sample by the hydraulic actuator, filling a fluid medium into the cubic sample by a percolation medium channel, and dynamically measuring related parameters. The present application can achieve three-way multi-parameter synchronous monitoring and acquisition of deformation, acoustic emission, ultrasonic wave, temperature field, percolation field and heat flow field.

A sonic inspection device of an embodiment includes: a sonic probe including a transducer configured to execute at least one of transmission and reception of a sound wave; and a contact member including: a first sheet-like member containing an elastomer and having a first surface that comes into contact with a sonic function surface of the sonic probe directly or with an intermediate member therebetween and a second surface opposite the first surface; and a second sheet-like member having a plurality of openings and provided in contact with the second surface of the first sheet-like member. The second sheet-like member includes a high-hardness member provided in at least a part in contact with the second surface and containing at least one selected from a polymer, a metal member, and a ceramic member higher in Young's modulus at room temperature than the first sheet-like member.

According to one embodiment, a method is used for diagnosing a deterioration of a utility pole having at least one bolt and a plurality of holes provided for attaching the bolt. In the method, an impact is applied to the bolt. Elastic waves generated due to the impact are detected by a sensor shaped like a bolt. The sensor is attached to at least one of the holes. A propagation situation of the elastic waves in the utility pole is derived, based on the elastic waves detected, and each position of the bolt and the sensor.

A solids detector may include a receptor configured to extend at least partially into a flow path of a fluid through a conduit. Further, the solids detector may include a sensor configured to receive an acoustic wave generated due to one or more solid particles in the fluid impacting the receptor. Additionally, the sensor may be configured to generate an electrical signal based on the acoustic wave. The electrical signal may be indicative of one or more impact energies of the one or more solid particles that impacted the receptor.

A method and an arrangement for analysis of a material flow (S) is disclosed having one or more material components. The material flow (S) is conducted via a conveyor line. One or more acoustic sensors are allocated to the conveyor line. Acoustic signals produced by the material flow (S) are detected by the acoustic sensors and then converted into digital signals. The digital signals are analyzed in an evaluating unit in a computer-assisted manner and analyzed by means of an algorithm in comparison to reference values specified based on individual identifying characteristics of the material components, such that the material components are identified and the mass fraction of at least one material component in the material flow (S) is determined.

The biosensor involves novel tone burst interdigitated transducer (TB-IDT) electrodes and multidirectional focused interdigitated electrodes for better sensitivity. The TB-IDT electrodes feature varied amplitude and width of electrode fingers over the length of the biosensor to cover a wider range of frequency access which does not rely on a single central frequency-based detection parameter. The multiple-frequency, multi-directional, and multi-amplitude accessibility reduces the occurrence of false-negatives and false-positives, leading to increased and improved sensitivity. The biosensor produces instantaneous diagnostic results and is highly sensitive in terms of broader bandwidth. The wide variety of compatible sensing receptors may be combined to accommodate detection of multiple target molecules using the same biosensor.

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.

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 includes array preprocessing operations. Array preprocessing may employ variation of bandpass filtering and frequency-wavenumber (F-K) filtering operations to suppress tool waves.