Hongwei Ma
Dongguan University of Technology
ArchSignalPhysicsEngineeringMode (statistics)Finite element methodPosition (vector)Strain ratePhase spaceComposite materialBeam (structure)Materials scienceVibrationSensitivity (control systems)AcousticsNoise (signal processing)Moving loadAlloyShell (structure)Damage detectionCompressive strengthMathematicsComputer scienceWaveletMetal foamAluminiumStrain (chemistry)Structural engineeringGuided wave testingSplit-Hopkinson pressure barBuckling
61Publications
13H-index
766Citations
Publications 55
Newest
#1Yi-Zhou Lin (JNU: Jinan University)H-Index: 3
#2Zhenhua Nie (JNU: Jinan University)H-Index: 10
Last. Hongwei Ma (DGUT: Dongguan University of Technology)H-Index: 13
view all 3 authors...
Principal component analysis (PCA) is a classical dimensionally reduction method having been widely applied in structural health monitoring (SHM) systems. However, it usually works as a “black-box”...
Source
#1Hongwei Ma (JNU: Jinan University)H-Index: 13
#2Yi-Zhou Lin (JNU: Jinan University)H-Index: 3
Last. Zhenhua Nie (JNU: Jinan University)H-Index: 10
view all 3 authors...
Principal component analysis (PCA) has been successfully applied in structural dynamics in recent years. However, it is usually used as a black-box, resulting in a gap between the application aspec...
8 CitationsSource
#1Lin Jing (Southwest Jiaotong University)H-Index: 19
#2Xingya Su (Southwest Jiaotong University)H-Index: 3
Last. Longmao Zhao (TUT: Taiyuan University of Technology)H-Index: 28
view all 5 authors...
The dynamic compressive behavior of closed-cell aluminum foams with different relative densities at a wide range of strain rates up to 4000 s−1 was investigated using a 37-mm Split Hopkinson Pressure Bar (SHPB) apparatus. The 30-mm-diameter specimens with two thicknesses (i.e., 6 and 10 mm) and three nominal relative densities (i.e., 0.11, 0.16, and 0.21) were fabricated. The influences of strain rate, relative density, specimen thickness on the mechanical properties of aluminum foams (e.g., str...
21 CitationsSource
#1Hong Hao (Curtin University)H-Index: 78
#2Zhang Weiwei (Taiyuan University of Science and Technology)H-Index: 4
Last. Hongwei Ma (JNU: Jinan University)H-Index: 13
view all 4 authors...
This paper presents a bridge condition assessment approach under moving loads with multi-sensor measurements and vibration phase technology. The phase trajectories of multi-sensor responses are obtained and a damage index is defined as the separated distance between the trajectories of undamaged and damaged structures to identify the damage existence and location. The damage will induce the local structural stiffness change, and the distance between the corresponding points on those two trajecto...
2 CitationsSource
#1Zhenhua Song (SYSU: Sun Yat-sen University)H-Index: 7
#2Xiangshang Qi (JNU: Jinan University)H-Index: 1
Last. Hongwei Ma (JNU: Jinan University)H-Index: 13
view all 4 authors...
Abstract A series of experiments on damage detection of large-diameter (88 mm diameter) pipe with and without liquid by guided waves have been conducted. Two types of liquid as water and machine oil are chosen to fill in pipe for detecting the influence of filler. The influences of liquid types on guided wave propagation, dispersion and attenuation characteristics have also been studied. The mode conversion phenomenon of reflection waves exists regardless filling state of pipe, but it is most se...
4 CitationsSource
#1Yi-Zhou Lin (JNU: Jinan University)H-Index: 3
#2Zhenhua Nie (JNU: Jinan University)H-Index: 10
Last. Hongwei Ma (DGUT: Dongguan University of Technology)H-Index: 13
view all 3 authors...
Structural damage detection is still a challenging problem owing to the difficulty of extracting damage-sensitive and noise-robust features from structure response. This article presents a novel damage detection approach to automatically extract features from low-level sensor data through deep learning. A deep convolutional neural network is designed to learn features and identify damage locations, leading to an excellent localization accuracy on both noise-free and noisy data set, in contrast t...
220 CitationsSource
#1Zhang Weiwei (Taiyuan University of Science and Technology)H-Index: 4
#2Hong Hao (Curtin University)H-Index: 78
Last. Chen Li (Taiyuan University of Science and Technology)H-Index: 1
view all 6 authors...
Abstract Ultrasonic Guided Wave (UGW)-based method is a very promising nondestructive testing (NDT) technique for detecting defects in elongated structures, such as pipelines, railway tracks and elongated bars. Minor damage in structures only introduce weak reflections of UGW, which limits the detection range of the method and make it ineffective to use guided wave signals for reliable detections of minor structural damages. In this paper, a novel technique based on analyzing the responses of a ...
16 CitationsSource
#1Zhang Weiwei (Taiyuan University of Science and Technology)H-Index: 4
#2Jun Li (Curtin University)H-Index: 39
Last. Hongwei Ma (JNU: Jinan University)H-Index: 13
view all 4 authors...
Abstract This paper presents a non-model based damage detection approach for bridge structures under moving loads based on the phase trajectory change of multi-type vibration measurements. A brief theoretical background on the vibration of a simply-supported bridge with a crack under moving load is described. The phase trajectories of multi-type dynamic responses are obtained and a damage index is defined as the separated distance between the trajectories of undamaged and damaged structures to i...
40 CitationsSource
#1Zhenhua NieH-Index: 10
#2Tuan NgoH-Index: 48
Last. Hongwei MaH-Index: 13
view all 3 authors...
This paper presents a novel damage detection method based on the reconstructed phase space of vibration signals using a single sensor. In this approach, a moving mass is applied as excitation source, and the structure vibration responses at different positions are measured using a single sensor. A Moving Filter Function (MFF) is also presented to be used to separate and filter the responses before phase space reconstruction. Using the determined time delay and embedding dimensions, the responses...
8 CitationsSource
#1Wu Jing (JNU: Jinan University)H-Index: 2
#2Yu Wang (JNU: Jinan University)H-Index: 1
Last. Hongwei Ma (Qinghai University)H-Index: 13
view all 6 authors...
Abstract This study proposes a novel small defect detection approach for steel pipes using the Lyapunov dimension ( D ) of the Duffing chaotic system based on ultrasonic guided waves. In this paper, inspection model is constructed by inputting the measured guided wave signal into the Duffing equation as the external turbulent driving force term and then D is calculated. The properties of the Duffing system's noise immunity are first demonstrated theoretically based on the Lyapunov exponents. By ...
17 CitationsSource