Shandong University

Chinese Academy of Sciences

Jilin Core Logistics and Coating Equipment Co., Ltd.

Shandong Gelnnt Environmental Technology Co., Ltd.

Mingshun Jiang

Qingmei Sui

Lei Jia

Lei Zhang

Faye Zhang

Shanshan Lv

Lingyu Sun

Juntao Wei

Lijia An

Yuxi Jia

Weiguo Yao

Linlin Gao

Haiqing Wang

Jieying Zhi

Yaru Zhao

Yunli Guo

Qinglin Wang

Feiyu Teng

A probability multiply-sum structural damage imaging positioning method and system based on a delay factor includes obtaining optimal excitation frequency and group-velocity theoretical correction function based on numerical simulation of composite laminates; based on optimal excitation frequency, obtaining ultrasonic guided wave response signals of composite laminates in healthy and lossy states and sensor coordinates used for signal collection; performing path screening based on ultrasonic guided wave response signals; obtaining group-velocity correction function based on measured group velocity obtained based on ultrasonic guided wave response signal in healthy state, and calculating actual delay time based on obtained effective path, group-velocity correction function, and sensor coordinates; obtaining damage delay factor based on actual and reference delay time; forming path probability distribution based on damage delay factor, and performing path probability multiply-sum operation to obtain structural damage imaging result; and obtaining structural damage positioning result based on peak point coordinates of imaging result.

Probability multiply-sum structural damage imaging positioning method and system based on delay factor

A digital, self-diagnosis, sensing intelligent layer integrating active and passive monitoring, including: a capacitance testing unit, configured to charge a to-be-tested piezoelectric transducer by generating a step signal, and determine a transition moment, to obtain a free capacitance value of the to-be-tested piezoelectric transducer; a frequency testing unit, to charge the to-be-tested piezoelectric transducer by generating sinusoidal signals of different frequencies, and detect a resonant frequency according to the transition moment; an active and passive monitoring module, to obtain analog response signals in an active mode and a passive mode, and convert the analog response signals into digital response signals for transmission; and a main control module, to transmit a self-diagnosis result and the digital response signals to a guided wave host. The intelligent layer integrates active damage scanning and passive impact monitoring while implementing self-diagnosis for a piezoelectric transducer state.

Digital, self-diagnosis, sensing intelligent layer integrating active and passive monitoring and method

A composite material packaged fiber grating sensor and a manufacturing method thereof. The sensor includes a fiber grating sensor component, a composite material coverage layer, a resin package layer and a composite material substrate layer. In the sensor, a temperature fiber grating and a strain fiber grating are packaged in a composite material structure, so that the structure is light and simple, its computability with the composite material is good, the measurement accuracy is high, and the survival rate and the service life of the installed sensor can be greatly improved, the sensor component can be externally pasted on to or inter-implanted in a composite material structural part, and can be applied to the distributed online health monitoring on the structural part. The manufacturing method of the composite material packaged fiber grating sensor is simple, efficient and stable, and is suitable for rapid mass production by enterprises.

Composite material packaged fiber grating sensor and manufacturing method thereof

Growing community of inventors

Jinan, China

Mingshun Jiang