Smart Materials and Structures最新文献_第3页

Identification of combined sensor faults in structural health monitoring systems 识别结构健康监测系统中的组合传感器故障

Smart Materials and Structures Pub Date : 2024-07-10 DOI: 10.1088/1361-665x/ad61a4

Heba Al-Nasser, Thamer Al-Zuriqat, K. Dragos, Carlos Chillón Geck, Kay Smarsly

{"title":"Identification of combined sensor faults in structural health monitoring systems","authors":"Heba Al-Nasser, Thamer Al-Zuriqat, K. Dragos, Carlos Chillón Geck, Kay Smarsly","doi":"10.1088/1361-665x/ad61a4","DOIUrl":"https://doi.org/10.1088/1361-665x/ad61a4","url":null,"abstract":"\u0000 Fault diagnosis (FD), comprising fault detection, isolation, identification and accommodation, enables structural health monitoring (SHM) systems to operate reliably by allowing timely rectification of sensor faults that may cause data corruption or loss. Although sensor fault identification is scarce in FD of SHM systems, recent FD methods have included fault identification assuming one sensor fault at a time. However, real-world SHM systems may include combined faults that simultaneously affect individual sensors. This paper presents a methodology for identifying combined sensor faults occurring simultaneously in individual sensors. To improve the quality of FD and comprehend the causes leading to sensor faults, the identification of combined sensor faults (ICSF) methodology is based on a formal classification of the types of combined sensor faults. Specifically, the ICSF methodology builds upon long short-term memory networks, i.e. a type of recurrent neural networks, used for classifying “sequences”, such as sets of acceleration measurements. The ICSF methodology is validated using real-world acceleration measurements from an SHM system installed on a bridge, demonstrating the capability of the long short-term memory networks in identifying combined sensor faults, thus improving the quality of FD in SHM systems. Future research aims to decentralize the ICSF methodology and to reformulate the classification models in a mathematical form with an explanation interface, using explainable artificial intelligence, for increased transparency.","PeriodicalId":506236,"journal":{"name":"Smart Materials and Structures","volume":"31 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141662271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A two-step modeling method for constructing 3D negative Poisson's ratio materials with high specific strength based on common lattice structures 基于普通晶格结构构建高比强度负泊松比三维材料的两步建模法

Smart Materials and Structures Pub Date : 2024-07-10 DOI: 10.1088/1361-665x/ad61a6

Weitao Lv, Dong Li

{"title":"A two-step modeling method for constructing 3D negative Poisson's ratio materials with high specific strength based on common lattice structures","authors":"Weitao Lv, Dong Li","doi":"10.1088/1361-665x/ad61a6","DOIUrl":"https://doi.org/10.1088/1361-665x/ad61a6","url":null,"abstract":"\u0000 The traditional negative Poisson's ratio (NPR) structure was basically designed based on concave or rotational mechanisms, resulting in relatively low specific strength and limiting its application. This paper proposed a two-step modeling method to establish a connection between the common lattice structures and NPR structures, which can obtain NPR structures with high specific strength. The models with different triaxial compression ratios were obtained through triaxial compression FE simulation to the selected initial configuration. Then, the mechanical properties of these models were studied through uniaxial compression FE simulation and experiments. In the research scope of this paper, the results demonstrate that the lattice structure can get NPR through the two-step modeling method when the Maxwell's number is less than or equal to zero. The specific strength of the NPR structure obtained through the two-step modeling method was at most 1.5 times higher than that of the traditional 3D star-shaped NPR structure. Due to the high designability and excellent mechanical properties of lattice structures, this work provides a novel method for the manufacture of NPR structures with high specific strength.","PeriodicalId":506236,"journal":{"name":"Smart Materials and Structures","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141661167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Soft lens with large focal length tuning range based on stacked PVC gel actuators 基于叠层 PVC 凝胶致动器的大焦距调节范围软透镜

Smart Materials and Structures Pub Date : 2024-07-10 DOI: 10.1088/1361-665x/ad61a5

Chi Zhang, Jianguo Qin, Yuan Gao, Leilei Cao, Xuejing Liu, Zicai Zhu

引用次数: 0

3D-electrozip touch: Multi-directional haptic feedback with electro-ribbon zipping actuators 3D 电子拉链触控利用电动拉链致动器实现多方位触觉反馈

Smart Materials and Structures Pub Date : 2024-07-10 DOI: 10.1088/1361-665x/ad61a3

Yuhan Pan, Ningzhe Hou, Wenjie Sun, Majid Taghavi

引用次数: 0

A comparative analysis between deep neural network-based 1D-CNN and LSTM models to harness the self-sensing property of the Shape Memory Alloy wire actuator for position estimation 基于深度神经网络的 1D-CNN 模型和 LSTM 模型之间的比较分析，以利用形状记忆合金线致动器的自感应特性进行位置估计

Smart Materials and Structures Pub Date : 2024-07-09 DOI: 10.1088/1361-665x/ad610c

Samarth Singh, M. Jadhav, Pretesh John, H. N. Bhargaw

{"title":"A comparative analysis between deep neural network-based 1D-CNN and LSTM models to harness the self-sensing property of the Shape Memory Alloy wire actuator for position estimation","authors":"Samarth Singh, M. Jadhav, Pretesh John, H. N. Bhargaw","doi":"10.1088/1361-665x/ad610c","DOIUrl":"https://doi.org/10.1088/1361-665x/ad610c","url":null,"abstract":"\u0000 The article presents a performance based comparative analysis of popular deep neu- ral network(DNN) models such as 1D-CNN and LSTM for Shape Memory alloy(SMA)- based wire actuator position estimation. These DNN models utilize the self-sensing property(SSP) for position prediction of the SMA actuator. The phase dependent elec- trical resistivity of SMA wire act as SSP, where the electrical resistivity is in the form of resistance acts as inputs to the proposed models for precise estimation of current position of the SMA actuator. For effective position control of the actuator, an ac- curate sensor feedback is required, utilizing SSP results in the elimination of external position sensor. This will improve the overall system in terms of more compactness and reduced interface complexity. Coming to DNN models, 1-D CNN has been meagerly explored in the current literature landscape for self-sensing prediction of SMA actua- tors, these 1-D CNN models are becoming quite popular for time series prediction for various applications and are emerging as an alternative to LSTM models. In this paper, a novel implementation of a 1D-CNN model for SMA actuator position estimation has been done. A comparative analysis between 1D-CNN and LSTM has been done for prediction capability and inference speed based on performance measures such as Mean Square Error(MSE), Mean Absolute Error(MAE), sMAPE(symmetric Mean Absolute Percentage Error), data distribution and average inference speed. This comparison shows that 1D-CNN has matching performance with the LSTM model with respect to the prediction capability, however 1D-CNN offers faster inference speed. This analy- sis can be useful for choosing suitable DNN model for deployment in low computing platform such as micro-controller for SMA actuator based real time applications where time latency is a critical parameter.","PeriodicalId":506236,"journal":{"name":"Smart Materials and Structures","volume":"98 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141664314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hidden corrosion monitoring via phase shift evaluation of lamb wave modes 通过λ波模式相移评估进行隐蔽腐蚀监测

Smart Materials and Structures Pub Date : 2024-07-08 DOI: 10.1088/1361-665x/ad6069

Liping Huang, Liang Zeng, Xuhui Zhang, Xiang Wan, Feiyu Chen

{"title":"Hidden corrosion monitoring via phase shift evaluation of lamb wave modes","authors":"Liping Huang, Liang Zeng, Xuhui Zhang, Xiang Wan, Feiyu Chen","doi":"10.1088/1361-665x/ad6069","DOIUrl":"https://doi.org/10.1088/1361-665x/ad6069","url":null,"abstract":"\u0000 Lamb wave inspection is a promising candidate for real-time monitoring of hidden corrosion in thin-walled metallic structures. The time-of-flight (ToF) which represents the variation of group velocity due to thickness reduction is commonly used, but its sensitivity is limited at the early stage of corrosion. To address this issue, the phase shift as a function of the phase velocity is defined and evaluated for corrosion detection in this paper. Specifically, the analytic cross-correlation method is applied, which estimates the group delay and the phase shift between two Lamb wave responses before and after the existence of corrosion simultaneously. The simulated examples show that the phase shift performs an obvious improvement on corrosion sensitivity compared to the ToF, and its value increases nearly monotonically as the corrosion gets deeper. Ultimately, an experimental example is also introduced, where an active sensor network is deployed and a probabilistic imaging algorithm is introduced. The imaging results demonstrate that the proposed method could successfully identify and accurately localize the hidden corrosion.","PeriodicalId":506236,"journal":{"name":"Smart Materials and Structures","volume":"111 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141668068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A load impedance emulation active interface for piezoelectric vibration energy harvesters 用于压电振动能量收集器的负载阻抗仿真有源接口

Smart Materials and Structures Pub Date : 2024-07-08 DOI: 10.1088/1361-665x/ad606b

A. Lo Schiavo, L. Costanzo, Massimo Vitelli

引用次数: 0

A flexible piezoelectric energy harvester featuring an eccentric pendulum via frequency up-conversion for human motion 通过频率上变频实现人体运动的柔性压电能量收集器，以偏心摆为特色

Smart Materials and Structures Pub Date : 2024-07-08 DOI: 10.1088/1361-665x/ad606a

Yue Zhu, Gantong Chen, Jiaqin Zhang, Zhiyuan Li, Shengxi Zhou

{"title":"A flexible piezoelectric energy harvester featuring an eccentric pendulum via frequency up-conversion for human motion","authors":"Yue Zhu, Gantong Chen, Jiaqin Zhang, Zhiyuan Li, Shengxi Zhou","doi":"10.1088/1361-665x/ad606a","DOIUrl":"https://doi.org/10.1088/1361-665x/ad606a","url":null,"abstract":"\u0000 This paper presents an innovative design of a flexible piezoelectric energy harvester featuring an eccentric pendulum (FPEH-P), which has two major characteristics: frequency up-conversion and large deformation that can improve output capacity. To clarify operational principles, we establish a dynamic model of the pendulum, and the vibration of the flexible piezoelectric plate is analyzed. Then, the two major characteristics of the FPEH-P are verified by experiments and simulations. Furthermore, it is verified that the FPEH-P can work at a low frequency (about 2 Hz) experimentally. Due to the large deformation of the piezoelectric plate, the maximum peak open-circuit voltage can reach 6.82 V. At an excitation frequency of 1.9 Hz and amplitude of 100 mm, the maximum average power can reach 6.06 μW. The FPEH-P can efficiently harvest energy from individuals engaged in walking, jogging, and running, as evidenced by the output load voltage and average power. Moreover, it can also output voltage under multiple motion actions. Finally, it has been verified that the high-instantaneous voltage characteristic of the harvester can provide sustainable power to a timer.","PeriodicalId":506236,"journal":{"name":"Smart Materials and Structures","volume":"116 25","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141667849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Temperature gradient for improving the output non-linearity in shape memory alloy actuators 用于改善形状记忆合金致动器输出非线性的温度梯度

Smart Materials and Structures Pub Date : 2024-07-02 DOI: 10.1088/1361-665x/ad5e4e

Andres Osorio Salazar, Yusuke Sugahara

{"title":"Temperature gradient for improving the output non-linearity in shape memory alloy actuators","authors":"Andres Osorio Salazar, Yusuke Sugahara","doi":"10.1088/1361-665x/ad5e4e","DOIUrl":"https://doi.org/10.1088/1361-665x/ad5e4e","url":null,"abstract":"\u0000 The non-linearity of Shape Memory Alloy's (SMA) input vs. output relationship has been a significant barrier to their broader application for actuators. In this article, we introduce a novel activation approach with the objective of improving the output nonlinearity in SMA actuators by using a liquid temperature gradient for activation. This gradient, with a narrow inflection point, selectively activates and deactivates different portions of the SMA, allowing control of the overall actuator's output by adjusting the inflection point's position. Two prototypes with the proposed concept were constructed and tested for force and displacement output. Their inner shape design facilitates the creation of a temperature gradient, whose inflection point is adjusted by varying the mix ratio of the inlet of hot and cold water. The performance of the prototypes was evaluated, including their ability to generate a temperature gradient, output linearity, activation dead time and time constant, and compatibility with a linear controller. The output linearity, activation dead time, and time constant were also compared with traditional wet activation. Our findings suggest that this technique significantly enhances the performance and predictability of SMA-based actuators and is compatible with PID controllers without additional feedforward or modeling techniques, offering a practical solution to a long-standing challenge in the field.","PeriodicalId":506236,"journal":{"name":"Smart Materials and Structures","volume":"16 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141685918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling and parameter identification of rate-dependent hysteresis behavior based on modified-generalized Prandtl–Ishlinskii model 基于修正广义普朗特-伊什林斯基模型的速率相关性滞后行为建模和参数识别

Smart Materials and Structures Pub Date : 2024-05-17 DOI: 10.1088/1361-665x/ad4d38

Ruina Zhu, Lu Liu, Yuhang Wu, Huan Chen, Weimin Lou, Peng Yang, Ming Kong

{"title":"Modeling and parameter identification of rate-dependent hysteresis behavior based on modified-generalized Prandtl–Ishlinskii model","authors":"Ruina Zhu, Lu Liu, Yuhang Wu, Huan Chen, Weimin Lou, Peng Yang, Ming Kong","doi":"10.1088/1361-665x/ad4d38","DOIUrl":"https://doi.org/10.1088/1361-665x/ad4d38","url":null,"abstract":"\u0000 The intrinsic characteristic of piezoelectric actuators (PEA), known as hysteresis, has been demonstrated to diminish the capability and stability of the system significantly. This paper proposes a modified-generalized Prandtl-Ishlinskii (MGPI) model to describe the rate-dependent hysteresis in piezoelectric actuators. The developed model incorpo-rates a voltage change rate function to replace the first part of the generalized Prandtl-Ishlinskii (GPI) model. Additionally, the model integrates the cubic polynomial into the envelope function, along with the dynamic thresholds and weights. When describing the hysteresis of the piezoelectric actuator (PEA), the model parameters are identified using the Improved Grey Wolf Optimizer (IGWO) algorithm. To prevent the algorithm from getting trapped in local optima, the cubic chaotic mapping is utilized for population initialization, as well as a nonlinear convergence factor, and the Levy flight strategy factor is introduced to update the Wolf pack's position. The rate-dependent hysteresis behavior of a PEA under excitation in the 1~200 Hz frequency range was experimentally meas-ured. The measured data were used to demonstrate the validity of the proposed MGPI model. The relative root-mean-square error and the relative maximum error of the MGPI model are 1.41% and 6.00%, respectively, which are lower than those of the GPI model, which are 3.15% and 10.58%. Under the composite frequency driving, the outputs of the GPI model and MGPI model were compared with the measured data of the PEA, the results suggest that the MGPI model and the IGWO algorithm can more accurately describe the rate-dependent hysteresis of the piezoelectric actuators.","PeriodicalId":506236,"journal":{"name":"Smart Materials and Structures","volume":"17 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140962874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0