Article
Engineering, Multidisciplinary
Yuejie Shu, Jun Wu, Shiliang Zhou, Junjie Wang, Wensong Wang
Summary: The proposed method for pile damage identification using strain sensor arrays is effective for damage localization and severity quantification based on curvature change. Experimental and FEM results demonstrate the accuracy and reliability of this method, with potential for further improvement in accuracy through increased strain measurement point density.
Article
Engineering, Multidisciplinary
Nicholas E. Silionis, Konstantinos N. Anyfantis
Summary: This paper discusses the incorporation of SHM systems in ship hull structures for detecting damages and the use of ML methods for damage identification. The SHM strategy is applied virtually and experimentally, yielding promising results.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Computer Science, Interdisciplinary Applications
Said Quqa, Luca Landi, Kenneth J. Loh
Summary: Sensing skins and electrical impedance tomography are cost-effective alternative methods for distributed sensing in civil structures, but their performance declines with aging of the sensing film. This paper proposes a novel approach using electrical resistance tomography and deep neural networks for crack identification in nanocomposite paint sprayed on structural components. The method incorporates crack annotations collected during visual inspections and utilizes transfer learning to improve crack identification performance. The results demonstrate that the proposed method outperforms traditional approaches for crack localization in complex damage patterns.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Mathematics, Applied
Qinghe Shi, Kejun Hu, Lei Wang, Xiaojun Wang
Summary: This study proposes a method based on strain modal information for the identification of structural damage, and verifies its effectiveness through numerical examples and experiments. Different types of damage indexes are introduced to quantify the extent of damage and the possibility of damage.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Engineering, Multidisciplinary
Chengxing Yang, Liting Yang, Weinian Guo, Ping Xu
Summary: This paper adopts deep learning method to establish a network model for strain-based damage identification. By modularizing the damage identification network, proposing an overall design framework, and using a damage simulation method to construct a strain field damage dataset, the deep learning model accurately and quickly identifies the damage information of elements according to the strain field information.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Construction & Building Technology
Jiayan Lei, Yiguan Cui, Wei Shi
Summary: This study presents a support vector machine (SVM) based structural damage detection approach for a steel frame model. By simulating different damage scenarios and extracting damage indicator features, the SVM classifiers are developed to identify multiple damage states. The results demonstrate that the approach has good performance in terms of feature extraction and identification.
ADVANCES IN STRUCTURAL ENGINEERING
(2022)
Article
Engineering, Civil
Christos Aloupis, Harry W. Shenton, Michael J. Chajes
Summary: The Neutral Axis (NA) of a beam is a parameter used to detect damage and its position is influenced by the geometry of the cross-section and axial loads. Shifts in the NA position indicate changes in load distribution or geometric characteristics. For cable-stayed bridges, where inclined cables induce significant axial forces, the effect of axial loads on NA position is significant. A simplified analytical model was developed to simulate a cable-stayed bridge and calculate the NA position under a vertical point load. By changing element properties, the NA position behavior in different locations of the bridge can be observed to identify damage location.
STRUCTURE AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Engineering, Mechanical
Hooman Nick, Armin Aziminejad, Mir Hamid Hosseini, Karim Laknejadi
Summary: A two-stage damage identification technique was proposed to locate and estimate damages in steel girder bridges successfully. Initially, the damage location was determined using the modal strain energy-based damage index method, and an artificial neural network (ANN) was used for estimation of damage severity. The results indicated the appropriate accuracy and proper performance of the proposed method in estimating the damage magnitude.
ENGINEERING FAILURE ANALYSIS
(2021)
Article
Chemistry, Analytical
Jing Yang, Peng Hou, Caiqian Yang, Ning Yang, Kefeng Li
Summary: The method proposed identified damage on box girder bridges using the DSIL index, with data obtained from long-gauge fiber Bragg grating strain sensors. A regularized index DSIL was introduced for quantitative identification of damage location and extent. Experimental and numerical results confirmed the accuracy and effectiveness of the method in both pinpointing damage location and assessing extent under various working conditions.
Article
Engineering, Marine
Ning Wang, Rui-hu Zhu, Qi-ming Wang, Jin-hai Zheng, Jia-bao Zhang
Summary: This study presents a simple, accurate, and practical method for identifying damage in pile foundations of high-pile wharfs based on the modal strain energy residual variability. The qualitative and quantitative relationships between the modal strain energy residual variability and element damage extent are derived. The method enhances the sensitivity of the modal strain energy to damage and achieves the decoupling of damage element identification, making it easy to apply in practical engineering.
Article
Engineering, Civil
MinShui Huang, Xihao Cheng, YongZhi Lei
Summary: The study introduces a method for structural damage identification based on the substructure method, element relative modal strain energy, and improved whale optimization algorithm (LWOA). By decomposing the global structure, improving the algorithm, and constructing the objective function, the method can accurately identify the location and severity of damage in different structures, improving the efficiency of damage identification.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2021)
Article
Computer Science, Interdisciplinary Applications
Mohammad Hassan Daneshvar, Mohsen Saffarian, Hashem Jahangir, Hassan Sarmadi
Summary: Sensitivity-based methods using modal data are effective and reliable tools for damage localization and quantification. This article proposes a new method for damage localization and quantification by developing a new sensitivity function and solving the ill-posed inverse problem using an optimization-based iterative regularization method. The proposed method shows promising results in locating and quantifying damage under incomplete noisy modal data.
ENGINEERING WITH COMPUTERS
(2023)
Article
Engineering, Mechanical
Mengying Li, Dawei Jia, Ziyan Wu, Shumao Qiu, Wei He
Summary: The paper introduces a structural damage identification method based on strain mode differences using the inverse finite element method, which improves the efficiency of damage detection with limited strain measuring points and provides accurate localization and quantification prediction of damage. Additionally, the study explores the effectiveness of using convolutional neural networks in structural damage estimation.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Biophysics
Hainan Li, Liwei Wang, Xining Gao, Min Liu, Yunzhi Zhang, Yaqi Xu, Jiang Yu, Anni Sun
Summary: The study aimed to construct a dynamic disaster identification index based on the static evaluation of soybean after the disaster, taking into account the process of soybean chilling damage and using the historical disaster records to realize the dynamic prediction and analysis before the disaster. The results showed that the comprehensive indicators determined by the cumulative value of temperature anomaly-the cumulative days of negative temperature anomaly had better applicability in NEC than the single factor indicator. The indicator results were basically consistent with the historical disaster records, and the accuracy rate of the indicator verification reached 90.9%.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2023)
Article
Engineering, Electrical & Electronic
Weiming Yin, Yefa Hu, Guoping Ding, Zijun Fan, Ning Jiang
Summary: This study aims to collect real-time surface strain of CFRP laminates using a FBG sensor network and construct a structural damage identification model based on strain characteristics. The model accurately identifies the location of hole damage and the length and direction of crack damage, as validated through experiments. The study demonstrates the feasibility and effectiveness of combining finite element analysis, FBG sensor network, and intelligent algorithm to establish a CFRP structural damage identification system.
OPTICAL FIBER TECHNOLOGY
(2022)
Article
Engineering, Mechanical
Xuanen Kan, Yanjun Lu, Fan Zhang, Weipeng Hu
Summary: A blade disk system is crucial for the energy conversion efficiency of turbomachinery, but differences between blades can result in localized vibration. This study develops an approximate symplectic method to simulate vibration localization in a mistuned bladed disk system and reveals the influences of initial positive pressure, contact angle, and surface roughness on the strength of vibration localization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zimeng Liu, Cheng Chang, Haodong Hu, Hui Ma, Kaigang Yuan, Xin Li, Xiaojian Zhao, Zhike Peng
Summary: Considering the calculation efficiency and accuracy of meshing characteristics of gear pair with tooth root crack fault, a parametric model of cracked spur gear is established by simplifying the crack propagation path. The LTCA method is used to calculate the time-varying meshing stiffness and transmission error, and the results are verified by finite element method. The study also proposes a crack area share index to measure the degree of crack fault and determines the application range of simplified crack propagation path.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Rongjian Sun, Conggan Ma, Nic Zhang, Chuyo Kaku, Yu Zhang, Qirui Hou
Summary: This paper proposes a novel forward calculation method (FCM) for calculating anisotropic material parameters (AMPs) of the motor stator assembly, considering structural discontinuities and composite material properties. The method is based on multi-scale theory and decouples the multi-scale equations to describe the equivalence and equivalence preconditions of AMPs of two scale models. The effectiveness of this method is verified by modal experiments.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Zhang, Jiangcen Ke
Summary: This research introduces an intelligent scheduling system framework to optimize the ship lock schedule of the Three Gorges Hub. By analyzing navigational rules, operational characteristics, and existing problems, a mixed-integer nonlinear programming model is formulated with multiple objectives and constraints, and a hybrid intelligent algorithm is constructed for optimization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Jingjing He, Xizhong Wu, Xuefei Guan
Summary: A sensitivity and reliability enhanced ultrasonic method has been developed in this study to monitor and predict stress loss in pre-stressed multi-layer structures. The method leverages the potential breathing effect of porous cushion materials in the structures to increase the sensitivity of the signal feature to stress loss. Experimental investigations show that the proposed method offers improved accuracy, reliability, and sensitivity to stress change.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Benyamin Hosseiny, Jalal Amini, Hossein Aghababaei
Summary: This paper presents a method for monitoring sub-second or sub-minute displacements using GBSAR signals, which employs spectral estimation to achieve multi-dimensional target detection. It improves the processing of MIMO radar data and enables high-resolution fast displacement monitoring from GBSAR signals.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xianze Li, Hao Su, Ling Xiang, Qingtao Yao, Aijun Hu
Summary: This paper proposes a novel method for bearing fault identification, which can accurately identify faults with few samples under complex working conditions. The method is based on a Transformer meta-learning model, and the final result is determined by the weighted voting of multiple models.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaomeng Li, Yi Wang, Guangyao Zhang, Baoping Tang, Yi Qin
Summary: Inspired by chaos fractal theory and slowly varying damage dynamics theory, this paper proposes a new health monitoring indicator for vibration signals of rotating machinery, which can effectively monitor the mechanical condition under both cyclo-stationary and variable operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Wang, Songye Zhu
Summary: This paper extends the latching mechanism to vibration control to improve energy dissipation efficiency. An innovative semi-active latched mass damper (LMD) is proposed, and different latching control strategies are tested and evaluated. The latching control can optimize the phase lag between control force and structural response, and provide an innovative solution to improve damper effectiveness and develop adaptive semi-active dampers.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Menghao Ping, Xinyu Jia, Costas Papadimitriou, Xu Han, Chao Jiang, Wang-Ji Yan
Summary: Identification of non-Gaussian processes is a challenging task in engineering problems. This article presents an improved orthogonal series expansion method to convert the identification of non-Gaussian processes into a finite number of non-Gaussian coefficients. The uncertainty of these coefficients is quantified using polynomial chaos expansion. The proposed method is applicable to both stationary and nonstationary non-Gaussian processes and has been validated through simulated data and real-world applications.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Lei Li, Wei Yang, Dongfa Li, Jianxin Han, Wenming Zhang
Summary: The frequency locking phenomenon induced by modal coupling can effectively overcome the dependence of peak frequency on driving strength in nonlinear resonant systems and improve the stability of peak frequency. This study proposes the double frequencies locking phenomenon in a three degrees of freedom (3-DOF) magnetic coupled resonant system driven by piezoelectricity. Experimental and theoretical investigations confirm the occurrence of first frequency locking and the subsequent switching to second frequency locking with the increase of driving force. Furthermore, a mass sensing scheme for double analytes is proposed based on the double frequencies locking phenomenon.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Kai Ma, Jingtao Du, Yang Liu, Ximing Chen
Summary: This study explores the feasibility of using nonlinear energy sinks (NES) as replacements for traditional linear tuned mass dampers (TMD) in practical engineering applications, specifically in diesel engine crankshafts. The results show that NES provides better vibration attenuation for the crankshaft compared to TMD under different operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Wentao Xu, Li Cheng, Shuaihao Lei, Lei Yu, Weixuan Jiao
Summary: In this study, a high-precision hydraulic mechanical stand and a vertical mixed-flow pumping station device were used to conduct research on cavitation signals of mixed-flow pumps. By analyzing the water pressure pulsation signal, it was found that the power spectrum density method is more sensitive and capable of extracting characteristics compared to traditional time-frequency domain analysis. This has significant implications for the identification and prevention of cavitation in mixed-flow pump machinery.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaodong Chen, Kang Tai, Huifeng Tan, Zhimin Xie
Summary: This paper addresses the issue of parasitic motion in microgripper jaws and its impact on clamping accuracy, and proposes a symmetrically stressed parallelogram mechanism as a solution. Through mechanical modeling and experimental validation, the effectiveness of this method is demonstrated.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zhifeng Shi, Gang Zhang, Jing Liu, Xinbin Li, Yajun Xu, Changfeng Yan
Summary: This study provides useful guidance for early bearing fault detection and diagnosis by investigating the effects of crack inclination and propagation direction on the vibration characteristics of bearings.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
