A system, apparatus, and method for remotely detecting defects in a structure may proceed non-destructively. A mobile sensing platform may place sensors in a desired positioning relative to the structure. The desired position may include a non-contacting relation between the sensors and structure. The mobile sensing platform may project laser beams onto the structure and sense backscattered light via the sensors. Variations in the backscattered light may correspond to motion of the structure, such as vibrations. By calculating the frequency and amplitude of the vibrations, defects in the structure may be detected. By correcting for noise, such as that associated with acceleration of the mobile sensing platform, accuracy and precision of defect detection may be enhanced.

A detection method of nonlinear ultrasonic guided wave with carrier modulation is described. The high and low frequency components are determined according to the frequency response characteristics of the detection object, and the high-frequency components are processed by delay and combined with the low-frequency components to form a carrier modulation signal. The single excitation and single receiving mode are adopted for signal acquisition. The carrier modulation signal with high frequency and low frequency components is excited by a single transducer. The nonlinear modulation effect is produced by the interaction between the carrier signal and the damage, and the signals are collected by the receiving transducer through transmission method. According to the arrival time of high frequency components and the time of end reflection echo, the signal is intercepted and analyzed. After filtering and normalization processing, the received signal is decomposed by empirical mode decomposition (EMD). According to the decomposed IMF spectrum information, IMF components including fundamental frequency and nonlinear frequency components are used for signal reconstruction. The difference frequency components generated by the modulation of high-frequency and low-frequency, namely nonlinear components, are extracted, and the non-linear coefficient is calculated. The damage degree of materials is evaluated based on the nonlinear coefficient of nondamaged state.

In a method of estimating displacement of a bridge, a first displacement including a low frequency component and a first high frequency component is generated based on a strain that is measured by a plurality of pairs of strain gauges installed at positions in a first direction from a reference point, in a bridge, a second displacement including a second high frequency component is generated based on an acceleration that is measured by an accelerometer installed at a first position spaced apart from the reference point by a first distance in the first direction, in the bridge, and a final displacement of the bride is generated based on an unknown parameter associated with the displacement, the low frequency component and the second high frequency component. The unknown parameter is generated by applying a recursive least square algorithm to the first high frequency component and the second high frequency component.

Disclosed is a sensor for monitoring a composite structure. The sensor includes multiple sensing elements of different sizes, each configured for different respective monitoring tasks. Also disclosed are methods of fabricating the sensor, designing and manufacturing the sensor, and attaching the sensor to the composite structure.

A composite part (sandwich or monolithic), including a rigid outer surface, to which is integrated an electronic instrumentation circuit, the electronic instrumentation circuit including a piezoelectric transducer, connected to a coil, an electronic control circuit, connected to a coil positioned facing the coil. The coil is printed on an insulating layer, printed directly on the rigid outer surface, the coil is printed on an insulating layer, covering the coil and the transducer, conducting tracks are printed on an insulating layer printed on at least one portion of the coil to be connected to it, the electronic control circuit being attached to the rigid outer surface and being connected to the tracks.

A method for determining road loads includes preparing a road map (15) that contains information about the local configuration of a plurality of roads. For each of a plurality of vehicles (1) a vehicle location is determined and at least one vehicle location signal (So) that characterizes the location of the vehicle concerned is generated. Using the vehicle location signal (So) and the road map, the vehicles (1) are assigned to the roads. For each vehicle (1) a vehicle load mass is determined and at least one vehicle load mass signal (Sm) that characterizes the vehicle load mass is generated. At least one road loading signal (Sb) that characterizes a road load is generated for each road using the vehicle load mass signals (Sm) of the vehicles (1) assigned to it.

A building monitoring computer system for monitoring building integrity may be provided. Various types of sensors may be embedded throughout or within certain portions of different types of building or construction material making up the building, such as within roofing, foundation, or structural materials. The sensors may be in wireless communication with a home controller. The sensors may be water, moisture, temperature, vibration, or other types of sensors, and may detect unexpected or abnormal conditions within the home. The sensors and/or home controller may transmit alerts to a mobile device of the home owner associated with the unexpected condition, and/or that remedial actions may be required to repair the home or mitigate further damage to the home. The sensor data may also be communicated to an insurance provider remote server to facilitate the insurance provider communicating insurance-related recommendations, updating insurance policies, or preparing insurance claims for review for home owners.

A method for a large space structure collapse detection apparatus to detect collapse of a large space structure according to the present invention includes: measuring a change in external load with respect to at least one main member in the large structure; calculating a stress or stress sensitivity according to the measured change in the external load; and comparing at least one of the calculated stress or the calculated stress sensitivity with a predetermined collapse diagnosis reference value and determining a risk of collapse of the large space structure.

A system and method for measuring dynamic properties of a structure, and for using the measured dynamic properties to assess the dynamic performance of the structure. The system and method measures dynamic properties of the structure such as frequencies of resonance, mode shapes, and non-linear damping, and uses them in an analysis of the structure to compare the dynamic response of the structure with the anticipated properties of a structure built according to applicable building code requirements. The system and method thus quantifies a risk of failure of the structure by determining a risk ratio that compares an as-is condition of the structure with an as-designed condition of the structure.

Systems and methods for automated MIMO force-response characterization of a device/structure-under-test. A SIMO exciter router is operated to selectively couple an excitation signal input to an exciter device while the sensor data indicative of a sensed response to the imparted excitation force is collected from a plurality of response sensors. The SIMO exciter router operates to collect sensor data for each of a plurality of different exciter-sensor combinations (i.e., sensor data is collected from each individual response sensor while the excitation force is applied by each individual exciter device). The sensor data is collected by a data acquisition system with a plurality of signal input channels each coupled to a different response sensor or a sensor router is used to selectively couple each individual sensor output to a shared signal input channel of the data acquisition system.