A method for nondestructive inspection by ultrasound of a bonded assembly is provided. The method comprises two steps, consisting of measuring a thickness of an adhesive joint of the bonded assembly by an ultrasound transducer arranged on the bonded assembly in a determined position, and measuring the degree of adhesion of parts of the bonded assembly by the same ultrasound transducer maintained in the determined position, the degree of adhesion being measured by ZGV Lamb waves.

A method for nondestructive inspection by ultrasound of a bonded assembly is provided. The method comprises two steps, consisting of measuring a thickness of an adhesive joint of the bonded assembly by an ultrasound transducer arranged on the bonded assembly in a determined position, and measuring the degree of adhesion of parts of the bonded assembly by the same ultrasound transducer maintained in the determined position, the degree of adhesion being measured by ZGV Lamb waves.

Systems and methods for analyzing physical characteristics of a battery include arrangements of two or more transducers coupled to the battery. A control module controls one or more of the two or more transducers to transmit acoustic signals through at least a portion of the battery, and one or more of the two or more transducers to receive response acoustic signals. Distribution of physical properties of the battery is determined based at least on the transmitted acoustic signals and the response acoustic signals.

Systems and methods for analyzing physical characteristics of a battery include arrangements of two or more transducers coupled to the battery. A control module controls one or more of the two or more transducers to transmit acoustic signals through at least a portion of the battery, and one or more of the two or more transducers to receive response acoustic signals. Distribution of physical properties of the battery is determined based at least on the transmitted acoustic signals and the response acoustic signals.

Methods and systems for analyzing an industrial structure are provided. With a plurality of sensors (e.g. FBGs and/or piezoelectric transducers and/or electromagnetic acoustic transducers) deployed in, on or in proximity to the structure, sensors are interrogated and a function representative of the impulse response of the structure is determined by passive inverse filter. Subsequently, a map of the propagation of the elastic waves through the structure is determined via various modalities, and in particular by tomography (of bulk or guided waves, by analysis of time of flight or of the complete signal). Embodiments especially relate to the management of the number and position of the sensors, to the use of artificial noise sources, and to automatically controlling the sensors and/or noise sources to monitor the health of the structure, or even to view the dynamic behavior of the structure.

Systems and methods for analyzing physical characteristics of a battery include arrangements of two or more transducers coupled to the battery. A control module controls one or more of the two or more transducers to transmit acoustic signals through at least a portion of the battery, and one or more of the two or more transducers to receive response acoustic signals. Distribution of physical properties of the battery is determined based at least on the transmitted acoustic signals and the response acoustic signals.

Systems and methods for analyzing physical characteristics of a battery include arrangements of two or more transducers coupled to the battery. A control module controls one or more of the two or more transducers to transmit acoustic signals through at least a portion of the battery, and one or more of the two or more transducers to receive response acoustic signals. Distribution of physical properties of the battery is determined based at least on the transmitted acoustic signals and the response acoustic signals.

The invention comprises a device and method to estimate the elasticity of soft elastic solids from surface wave measurements. The method is non-destructive, reliable and repeatable. The final device is low-cost and portable. It is based in audio-frequency shear wave propagation in elastic soft solids. Within this frequency range, shear wavelength is centimeter sized. Thus, the experimental data is usually collected in the near-field of the source. Therefore, an inversion algorithm taking into account near-field effects was developed for use with the device. Example applications are shown in beef samples, tissue mimicking materials and in vivo skeletal muscle of healthy volunteers

The invention comprises a device and method to estimate the elasticity of soft elastic solids from surface wave measurements. The method is non-destructive, reliable and repeatable. The final device is low-cost and portable. It is based in audio-frequency shear wave propagation in elastic soft solids. Within this frequency range, shear wavelength is centimeter sized. Thus, the experimental data is usually collected in the near-field of the source. Therefore, an inversion algorithm taking into account near-field effects was developed for use with the device. Example applications are shown in beef samples, tissue mimicking materials and in vivo skeletal muscle of healthy volunteers

A method to create a parameter map depicting acoustical and mechanical properties of biological tissue at microscopic resolutions to identify potential health related issues. The method including mounting the biological tissue on a substrate, raster scanning the biological tissue with an RF frequency, recovering RF echo signals from said substrate and from a plurality of locations on said biological tissue, wherein each of the plurality of locations corresponds to a specific pixel comprising the parameter map, the recovered RF echo signals including a reference signal recovered from the substrate at a point devoid of tissue, a first sample signal recovered from an interface between the biological tissue and water, and a second sample signal recovered from an interface between said biological tissue and said substrate, repeatedly applying a plurality of computer-generated calculation steps based on the reference signal, the first sample signal and the second sample signal to generate estimated values for a plurality of parameters associated with each of the specific pixels in the parameter map. The plurality of computer-generated calculation steps includes a denoising step, and using the generated estimated values to create said parameter map depicting parameters including, but not limited, to acoustic impedance, speed of sound, ultrasound attenuation, mass density, bulk modulus and nonlinear attenuation.