A method is provided including the steps: —first excitation of the object via a multifrequency signal; —detecting a first response signal of the object at one or multiple measuring points at the object; —transforming the first response signal from a time range into a frequency-dependent range; —selecting one or multiple frequencies, based on the frequency-dependent range; —second excitation of the object based on the selected frequencies; —detecting a second response signal of the object at one or multiple measuring points of the object; —ascertaining a mechanical parameter based on the second response signal.

A method of detecting a deformation in a lattice structure comprises capturing first image data of the lattice structure via a first image capturing device with a first telecentric lens and a second image capturing device with a second telecentric lens. The first telecentric lens is directed toward the lattice structure, and the second telecentric lens is spaced apart from the first telecentric lens and also directed toward the lattice structure. The method includes compressing the lattice structure; capturing second image data of the lattice structure via the first and second image capturing devices; and detecting the deformation based at least in part on the first and second image data.

A modular pavement slab comprises a body, a strain sensor array, and a sensor processor. The body includes a top surface, a bottom surface, and four side surfaces. The modular pavement slab is configured to be coupled to at least one other modular pavement slab via connectors along at least one of the side surfaces. The strain sensor array is retained within the body and is configured to detect a plurality of strains on the body resulting from vehicular traffic across the top surface of the body. The sensor processor is in communication with the strain sensor array. The sensor processor is configured to communicate input signals to the strain sensor array, receive output signals from the strain sensor array, and determine a plurality of time-varying strain values, each strain value indicating a strain experienced over time by a successive one of a plurality of regions of the body.

A derivation method includes: an acquisition step of acquiring time-series data including a physical quantity generated at a predetermined observation point in a structure as a response caused by a movement of a formation moving object formed with one or more moving objects on the structure; an environment information acquisition step of acquiring, as environment information, information on a structure length that is a length of the structure, a moving object length that is a length of the moving object, and an installation position of a contact portion of the moving object with the structure; a fundamental frequency derivation step of deriving a fundamental frequency of the time-series data based on the time-series data; a passing period derivation step of deriving a passing period during which the formation moving object passes through the structure based on the time-series data; and a number derivation step of deriving the number of the moving objects included in the formation moving object based on the environment information, the fundamental frequency, and the passing period.

A dynamic response at a designated position is derived based on a deflection amount normalized by a vibration component of the dynamic response, an amplitude ratio, which is a ratio of a first deflection amount that is the normalized deflection amount indicating a distribution of a vibration amplitude of the observation point to a second deflection amount that is the normalized deflection amount indicating a distribution of a vibration amplitude of a designated position, the vibration component of the designated position derived based on the vibration component and the amplitude ratio, and the static response of the designated position derived based on the time-series data and the estimated value.

A time point is acquired by steps including a data acquisition step of acquiring time-series data indicating a time change of a displacement of a structure based on a physical quantity generated at a predetermined observation point in the structure as a response caused by a movement of a formation moving object formed with one or more moving objects on the structure; a removing step of removing a vibration component included in the time-series data; and a time point acquisition step of acquiring an entry time point at which the formation moving object enters the structure and an exit time point at which the formation moving object exits from the structure, based on the time-series data after the vibration component is removed.

A first index value, which is an index value of a deflection amount of a structure generated at an observation point, and a second index value, which is an index value of a deflection amount at a designated position in the structure, are acquired based on the number of moving objects formed in a formation moving object, an entry time point, an exit time point, and environment information. An estimated value of the deflection amount of the structure at the designated position is derived based on time-series data measured at the observation point, the first index value, and the second index value.

An apparatus, and related method, relates generally to a fiber-optic sensing system. In such a system, fiber-optic sensors are in a rosette or rosette-like pattern. An optical circulator is coupled to receive a light signal from a broadband light source, to provide the light signal to the fiber-optic sensors, and to receive a returned optical signal from the fiber-optic sensors. A spectral engine is coupled to the optical circulator to receive the returned optical signal and configured to provide an output signal.

The present invention relates to an airplane structure stiffener repair method based on measured data guidance. The method includes: respectively measuring point cloud data on a surface of a structure stiffener and point cloud data on a surface of a to-be-assembled position of a body; respectively extracting all assembly plane features in two point cloud data based on an RANSAC algorithm; performing pre-alignment according to the plane features; performing accurate alignment based on a signed distance constraint according to repair tolerance requirements; and calculating a repair allowance, and generating a machining path to serve as an accurate machining basis. According to the method in the present invention, a repair amount can be accurately calculated by virtue of an alignment algorithm of the signed distance constraint, and an envelope relationship during model matching is met.

An aviation component inspection device includes a camera, a display, an input device, and a computer. The camera is configured to capture images of an aviation component under inspection. The computer is configured to receive an image from the camera, evaluate the image with one or more machine-learning aviation component-detection models. Each machine-learning aviation component-detection model is previously trained to output at least one confidence score indicating a confidence that a corresponding aviation component is present in the image. The computer is configured to present, via the display, a list of candidate aviation components based on corresponding confidence scores output by the one or more machine-learning aviation component-detection models, and add data previously-associated with a selected candidate aviation component from the list to a digital inspection report responsive to receiving user verification, via the input device, confirming the selected candidate aviation component is present in the image.