Showing papers by "Ye Lu published in 2018"
TL;DR: This study presents the prediction of mechanical and electrical properties of ECC based on the artificial neural network (ANN) technique with the aim of providing a gateway for a more effective approach in ECC design.
36 citations
TL;DR: In this article, a Rayleigh damping model was used to numerically explore the influence of damping on the time-reversibility of Lamb waves and a new damage detection technique for use in highly damped composite structures using the time reversal method with different excitation amplitudes.
Abstract: This paper presents a new damage detection technique for use in highly damped composite structures using the time reversal method with different excitation amplitudes. A Rayleigh damping model was used to numerically explore the influence of damping on the time-reversibility of Lamb waves. In the experimental investigation, high-damping absorptive materials were introduced between a sensing path on a composite plate. Excitations of different amplitudes were applied on transducers to generate different energy levels for interrogating waves. It was found that high damping broke down the time-reversibility of the Lamb waves. Both the damped and the damaged sensing paths had much higher damage indices than the pristine path under a large excitation. However, with the decrease in excitation amplitude, the damage indices of the damaged path obviously decreased, whereas those of the highly damped path remained almost constant. The proposed method can effectively detect damage in composite structures and ...
9 citations
TL;DR: In this paper, an inductor-resistor model of the excitation system and a transformer model of sensor system were established to obtain the explicit relationship between the ratio result and the external tension.
Abstract: The magnetic permeability changes of ferromagnetic materials under elastic stress offer the potential to measure tension based on the inverse magnetostrictive effect. The elasto-magnetic (EM) sensor is the most promising technology for monitoring tension in steel structures. Nevertheless, difference in the device channel or variation of the external wire resistance results in an inaccurate induced voltage variation of the EM sensor in tension measurement. In this paper, the EM sensor for monitoring cable tension using an innovative ratio measurement method was presented. An inductor-resistor model of the excitation system and a transformer model of the sensor system were established to obtain the explicit relationship between the ratio result and the external tension. The experimental results show that the ratio of the integral value of the induced voltage to the excitation current variation is proportional to the external tension, a finding that is consistent with the theoretical derivation. In addition, the simulation analysis and experiment result demonstrate that the ratio measurement method improves sensor performance with the comparison of the traditional induced voltage method. Finally, the EM sensor was applied in the Zhengzhou Olympic Stadium of China. The monitoring results show that the proposed ratio measurement method could accurately measure cable tension.
6 citations
01 Jan 2018
TL;DR: The 7th Asia-Pacific Workshop on Structural Health Monitoring (APWSHM 2018), Hong Kong, China, 12-15 November 2018 as discussed by the authors, has been held.
Abstract: 7th Asia-Pacific Workshop on Structural Health Monitoring, APWSHM 2018, Hong Kong, China, 12-15 November 2018
1 citations