A method for determining the temperature-induced sag variation of the main cable and the tower-top horizontal displacement of suspension bridges takes the sag variation and the span variation of each span of the main cable as the unknown quantities. By using the horizontal tension equilibrium at the tower top, the geometric relationship between the shape and the length of the main cable, and the compatibility condition to be satisfied by the sum of spans of each span of the main cable, a linear system of equations is constructed. The linear system of equations is solved to obtain the temperature-induced sag variation of the main cable and the tower-top horizontal displacement of the suspension bridge. This method can be extended to the temperature deformation analysis of the other cable systems with any number of spans such as transmission lines, ropeways, and the like.

A structure damage cause estimation system, a structure damage cause estimation method, and a structure damage cause estimation server that enable a damage cause to be estimated with a high probability are provided. A structure damage cause estimation system (100) includes a database (110) that has data of a captured image and a damage cause of a structure, an image acquisition unit (115) that acquires a captured image of a target structure to be inspected, a damage detection unit (125) that detects damage from the captured image, a similar damage extraction unit (130) that extracts similar damage similar to the damage by using the database (110), and a damage cause presentation unit (135) that presents damage causes of the similar damage. Also provided are a damage cause estimation method that uses the structure damage cause estimation system (100), and a damage cause estimation server.

An assessing device capable of assessing presence or absence of local damage in a structure is provided. The assessing device includes a dominant frequency identifying unit that identifies a dominant frequency of a vibration at each of a plurality of spots in a structure, based on information indicating the vibration at each of the plurality of spots, a phase difference identifying unit that identifies a phase difference at the dominant frequency between the vibrations at the plurality of spots, based on the dominant frequency and information indicating the vibrations; and an assessing unit that assesses damage in the structure, based on the phase difference.

A stress distribution measurement method is a method of measuring stress distribution generated on a structural object including two support parts and a beam part provided between the support parts. The method includes: generating first image data by performing, through a first image capturing unit, image capturing of a moving object or an identification display object attached to the structural object from the moving object; calculating, based on the first image data, a movement duration in which the moving object moves between the support parts; generating, as second image data, thermal image data by performing image capturing of the surface of the beam part through a second image capturing unit; calculating a temperature change amount based on a second image data group corresponding to the movement duration; and calculating a stress change amount based on the temperature change amount to calculate stress distribution based on the stress change amount.

The present invention belongs to the technical field of health monitoring for civil structures, and a dynamically non-Gaussian anomaly identification method is proposed for structural monitoring data. First, define past and current observation vectors for the monitoring data and pre-whiten them; second, establish a statistical correlation model for the whitened past and current observation vectors to obtain dynamically whitened data; then, divide the dynamically whitened data into two parts, i.e., the system-related and system-unrelated parts, which are further modelled by the independent component analysis; finally, define two statistics and determine their corresponding control limits, respectively, it can be decided that there is anomaly in the monitoring data when each of the statistics exceeds its corresponding control limit. The non-Gaussian and dynamic characteristics of structural monitoring data are simultaneously taken into account, based on that the defined statistics can effectively identify anomalies in the data.

The present invention provides a damage detection apparatus, a damage detection method, and a damage detection program that can detect damage in a support by measuring vibration of a supported object. The damage detection apparatus that detects damage in a structure including a supported object and a support according to one example embodiment of the present invention includes a dominant frequency acquisition unit that acquires a dominant frequency from vibration information at a plurality of points on the supported object; a rigid body vibration identification unit that identifies rigid body vibration information on the structure from the acquired dominant frequency; and a damage determination unit that determines damage in the support based on the identified rigid body vibration information.

According to one embodiment, a structure evaluation system of the embodiments includes a plurality of sensors, an arrival time determiner, a reliability calculator, and a map generator. The plurality of sensors detect elastic waves. The arrival time determiner determines arrival times of the elastic waves using elastic waves detected by the plurality of respective sensors. The reliability calculator calculates reliabilities related to measurement waveforms of the elastic waves on the basis of the arrival times. The map generator generates a first map on the basis of the calculated reliabilities or the reliabilities and a distance.

A detection device includes an acquirer that acquires a video of each of a plurality of bearings of a structure including the plurality of bearings, an extractor that extracts a dynamic feature corresponding to a plurality of degrees of freedom of each of the plurality of bearings based on the video, and an identifier that identifies, among the plurality of bearings, a bearing whose dynamic feature fails to match a dynamic feature of one or more other bearings of the plurality of bearings.

Embodiments herein provide a system (100) to estimate the amplitude of oscillations in a turbulent flow system (102) that exhibits oscillatory instabilities. The system (100) comprises of a sensor (102A) mounted on the turbulent flow system (102) to detect an oscillatory variable in the system obtaining a signal, a signal conditioner (104) that conditions the signal from the sensor, an amplitude estimator (110) that estimates the amplitude of the limit cycle oscillations, and also predict the proximity of the system to the oscillatory instability, a processor (108) connected to the amplitude estimator (110) to compare the predicted oscillation amplitude with a threshold value. The amplitude is estimated by estimating the spectral measure of the time series signal obtained from the system.

Systems and methods for monitoring eye health. The systems and methods monitor eye health by measuring scleral strain by way of an implantable monitor, a wearable monitor configured in eyeglasses, or an external monitor using a portable tablet computing device.

Certain embodiments of the strain monitor may be utilized to measure the strain on any surface to which it is attached, including, but not limited to, the skin of a patient or the surface of a structure such as a building or a bridge.