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A Parametric Study of Piezoelectric Energy Harvesting by Vortex Induced Vibration of a Pair of Cylinders 一对圆柱体涡激振动压电能量收集的参数化研究
Pub Date : 2021-11-01 DOI: 10.1115/imece2021-71636
Thomas Cornett, Arka Chattopadhyay, M. Esmaeilpour
The design of a piezoelectric based device that uses interference bluff body to harvest wind energy is presented. Different prototypes including cantilever beam, cylinder as oscillating body, and cylinder as interference body were used and tested to investigate the effects of interference bluff body’s properties such as the size and distance from fix oscillating body on the performance of energy harvesting system. To compare the frequency of oscillating beam and its natural frequency, a numerical simulation based on Finite Element Method was performed to obtain the natural frequency of cantilever beam. It was found that the energy harvester can be greatly improved by placing a fixed bluff body as interference bluff body in upstream of the oscillating bluff body. Through experimental tests, this study reveals that both diameter of interference cylinder and the distance between oscillating and interference cylinder play a key role in the energy harvester’s performance. Moreover, two different modes of oscillation were observed, depending on diameter of interference cylinder and its distance from bluff body. For all cases, the Fast Fourier Transform (FFT) analysis was used to monitor the frequency of oscillating cylinder and these values were compared with the natural frequencies obtained by Finite Element Method’s analysis. The results showed that the shorter beams oscillate with a frequency of about 5 Hz, close to the natural frequency of 6Hz, while the longer beams oscillate with a frequency of about 2.2 Hz, close to the natural frequency of 2.17Hz.
介绍了一种利用干涉钝体收集风能的压电装置的设计。采用悬臂梁、圆柱体作为振荡体和圆柱体作为干涉体的不同原型,研究了干涉钝体的尺寸和与固定振荡体的距离等特性对能量收集系统性能的影响。为了比较悬臂梁的振动频率和固有频率,采用有限元法进行了数值模拟,得到了悬臂梁的固有频率。结果表明,在振荡钝体的上游放置一个固定钝体作为干涉钝体,可以大大提高能量采集器的性能。通过实验测试,本研究表明,干涉缸直径和振荡与干涉缸之间的距离是影响能量采集器性能的关键因素。此外,干涉柱的直径及其与钝体的距离不同,还观察到两种不同的振荡模式。在所有情况下,采用快速傅里叶变换(FFT)分析监测振荡圆柱的频率,并将这些值与有限元法分析得到的固有频率进行比较。结果表明,短波束的振荡频率约为5 Hz,接近于6Hz的固有频率,而长波束的振荡频率约为2.2 Hz,接近于2.17Hz的固有频率。
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引用次数: 0
Performance Analysis of the Direct Contact Membrane Distillation Using Sonication Effect 利用超声效应对直接接触膜蒸馏进行性能分析
Pub Date : 2021-11-01 DOI: 10.1115/imece2021-73478
Ussama Ali, M. Sajjad, I. Janajreh
Direct contact membrane distillation (DCMD) for desalination often suffers from membrane fouling, scaling, low permeate water flux and pore wetting. This study focuses on the integration of sonication with DCMD to mitigate these problems by enhancing mass flux and reducing temperature polarization. A computational fluid dynamic model has been developed for the evaluation of temperature polarization through sonication enhanced DCMD. The computational domain consists of two channels, i.e., feed and permeate. It has a length of 20 mm, with a height of 1 mm for each channel, and a membrane thickness of 130 μm. Laminar flow at a low Reynolds number is considered (Re □ 10), with feed and permeate flowing in a counter-flow arrangement at the same inlet velocity but different temperatures. The employed numerical model is unsteady non-isothermal governed by Navier–Stokes equations which are conjugated thermally with the polymeric membrane. The model is subjected to different sonication frequencies and amplitudes. It employs dynamic mesh in conjunction with temporal sound application with a very small-time step to solve the governing equations associated with the sonication effect. A sensitivity study based on the effect of different parameters on the performance of the direct contact membrane distillation is conducted. The parameters studied include the effect of sonication wave (amplitude and frequency), feed flow rate and feed temperature on temperature polarization coefficient (TPC) and mass flux. Results show that sonication definitely can ameliorate the DCMD performance seen as a gain in both TPC and mass flux.
直接接触式膜蒸馏(DCMD)在脱盐过程中经常遇到膜污染、结垢、渗透通量低和孔隙润湿等问题。本研究的重点是将超声与dmd相结合,通过提高质量通量和降低温度极化来缓解这些问题。建立了一种计算流体动力学模型来评估超声增强dmd的温度极化。计算域包括两个通道,即馈入通道和渗透通道。全长20mm,通道高1mm,膜厚130μ m。考虑低雷诺数层流(Re□10),进料和渗透在相同的进口速度下以逆流的方式流动,但不同的温度。所采用的数值模型为非定常非等温模型,由与聚合物膜热共轭的Navier-Stokes方程控制。该模型受不同的声频和幅值的影响。它采用动态网格与时间声音应用相结合,以非常小的时间步长来解决与声效相关的控制方程。对不同参数对直接接触膜蒸馏性能的影响进行了灵敏度研究。研究了超声波(振幅和频率)、进料流量和进料温度对温度极化系数(TPC)和质量通量的影响。结果表明,超声确实可以改善dmd的性能,在TPC和质量通量方面都有所提高。
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引用次数: 1
Using d15 Piezoelectric Transducers for Ultrasonic Inspection of Delamination in Laminated Structures 用d15压电换能器超声检测层合结构中的分层现象
Pub Date : 2021-11-01 DOI: 10.1115/imece2021-69157
H. Altammar, N. Salowitz
A laminated beam consisted of internally embedded d15 piezoelectric transducers in a pitch-catch configuration was fabricated with artificial delamination created at the interface of aluminum layers. The severity of damage was also varied to evaluate the effectiveness of the approach to detect delamination. A five-peak tone burst signal centered at 30 kHz was supplied to piezoelectric actuators throughout the experiment to produce antisymmetric waves in the laminate specimen. It was found that the closer the delamination occurred to the d15 PZT actuator the greater the change in signal increasing the probability to be identified using antisymmetric A0 wave mode. The analysis suggests that d15 PZT actuators should be placed in regions where delamination is likely to occur in laminated structures. Also, the propagation path of delamination was successfully predicted using a set of sensor signals processed using damage index methods including Pearson correlation coefficient and root mean square deviation. Evaluation of the results indicated that embedded d15 piezoelectric transducers exclusively couple to antisymmetric guided waves and can advance signal analysis for detection of delamination with ultrasonic structural health monitoring systems.
在铝层的界面处人工分层,制作了一种由内部嵌入的d15压电换能器组成的层压梁。损伤的严重程度也有所不同,以评估该方法检测分层的有效性。在整个实验过程中,向压电致动器提供以30 kHz为中心的五峰突音信号,在层压试样中产生反对称波。发现离d15 PZT致动器越近的分层发生,信号的变化越大,增加了使用反对称A0波模式识别的概率。分析表明,在层合结构中,d15 PZT致动器应放置在易发生分层的区域。利用损伤指数法处理的传感器信号,包括Pearson相关系数和均方根偏差,成功预测了分层的传播路径。结果表明,嵌入式d15压电换能器与反对称导波完全耦合,可以推进超声结构健康监测系统对分层检测的信号分析。
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引用次数: 0
Topological Optimization of Piezoelectric Materials for the Control of Wave Propagation in Periodic Structures 用于周期性结构中波传播控制的压电材料拓扑优化
Pub Date : 2021-11-01 DOI: 10.1115/imece2021-70964
Jiahui Shi, Yu Fan, Lin Li
Piezoelectric materials can be introduced as the additional components into the periodic structures as they can couple the mechanical and electric fields. However, the added mass is always constrained in practical engineering. A method is needed to guide how to posit the piezoelectric materials on the host structure under the mass limit. In this work, we develop a numerical method to determine the best distribution of piezoelectric materials on the host structure in order to control the wave propagation in the periodic structures. This is based on the fact that the propagation properties of the waves in the mechanical field can be regulated by electric impedance shunted to the piezoelectric materials. The coupling strength between the mechanical field and the electric field is quantified by the wave electromechanical coupling factor (WEMCF). It is related to the geometric of the piezoelectric materials only. As the periodic structures are constructed by the identical unit cell, the aim is to design the distribution of the piezoelectric materials on the unit cell. There is no constrain on the shape of piezoelectric materials in the optimized method, only the overall mass is limited. A linear weighing of stress components is proposed as the criterion to determine the priority of locations for piezoelectric materials. In the proposed method, the piezoelectric materials are introduced to the FE model by adding the additional piezoelectric element layers on the host structure. Details for handling polarization direction, electrode connection and the electric circuit parameters selection are also presented. A 1D thin-wall box beam is taken as the application example. Results show that the Bragg band gap can be adjusted to cover the target frequency range under the optimization design with the 10% mass limitation.
压电材料可以作为附加元件引入到周期结构中,因为它们可以耦合机械和电场。然而,在实际工程中,增加的质量总是受到限制的。需要一种方法来指导如何在质量限制下将压电材料置于主体结构上。在这项工作中,我们开发了一种数值方法来确定压电材料在主结构上的最佳分布,以控制波在周期性结构中的传播。这是基于这样一个事实,即波在机械场中的传播特性可以通过分流到压电材料上的电阻抗来调节。用波机电耦合系数(WEMCF)来量化机械场与电场之间的耦合强度。它只与压电材料的几何形状有关。由于周期结构是由相同的晶胞构成的,目的是设计压电材料在晶胞上的分布。优化方法对压电材料的形状没有约束,只对总质量有限制。提出了应力分量的线性加权作为确定压电材料位置优先级的准则。该方法通过在主体结构上附加压电元件层,将压电材料引入有限元模型。并详细介绍了极化方向的处理、电极的连接和电路参数的选择。以一维薄壁箱梁为应用实例。结果表明,在质量限制为10%的优化设计条件下,可以调整Bragg带隙以覆盖目标频率范围。
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引用次数: 0
An Exploration of X-Vectors for Damage Detection and Identification 基于x向量的损伤检测与识别研究
Pub Date : 2021-11-01 DOI: 10.1115/imece2021-73324
Kyle L. Hom, H. Beigi, R. Betti
Damage identification for structural health monitoring (SHM) is explored through applying the x-vector speaker recognition technique in the structural domain. Using the progressive damage tests from the Z24 Bridge Benchmark dataset, a time-delay neural network (TDNN) is trained as an acoustic model to classify the provided global damage scenarios. The outputs of a pre-final layer, called x-vectors, are used as damage-sensitive features for identification of damage presence and mechanisms. Since the developed TDNN has learned the underpinning dynamics of the damage mechanisms in the Z24 tests, we apply it as a basis for damage identification problems tangential to the Z24 progressive damage classification task. Transfer learning and domain transfer are investigated via application of the developed TDNN towards local damage identification of the Z24 Bridge, and global and local damage identification for the unseen LANL SHM Alamosa Canyon Bridge, UC-Irvine Bridge Column, and Bookshelf studies. Supervised and unsupervised classification techniques are explored to assess this method, and strong results in damage detection are obtained for these SHM problems.
将x向量说话人识别技术应用于结构领域,对结构健康监测中的损伤识别进行了探索。使用来自Z24 Bridge Benchmark数据集的渐进式损伤测试,将时滞神经网络(TDNN)训练为声学模型,对提供的全局损伤场景进行分类。预终层的输出称为x向量,用作识别损伤存在和机制的损伤敏感特征。由于开发的TDNN已经学习了Z24试验中损伤机制的基础动力学,我们将其作为与Z24渐进损伤分类任务无关的损伤识别问题的基础。通过将开发的TDNN应用于Z24桥的局部损伤识别,以及未见的LANL SHM Alamosa Canyon桥、UC-Irvine桥柱和Bookshelf的全局和局部损伤识别,研究了迁移学习和领域转移。研究了有监督分类和无监督分类两种方法,并在损伤检测方面取得了较好的结果。
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引用次数: 0
Operational Modal Analysis of a Rotating Structure Subject to Random Excitation Using a Tracking Continuously Scanning Laser Doppler Vibrometer via a Two-Dimensional Scan Scheme 利用二维扫描跟踪连续扫描激光多普勒测振仪分析随机激励下旋转结构的运行模态
Pub Date : 2021-11-01 DOI: 10.1115/imece2021-71521
L. Lyu, Wei-dong Zhu
A two-dimensional (2D) scan scheme is developed for a tracking continuously scanning laser Doppler vibrometer (CSLDV) system to scan the whole surface of a rotating structure excited by a random force. A tracking CSLDV system is developed to track a rotating structure and sweep its laser spot on its surface. The measured response of the structure using the 2D scan scheme of the tracking CSLDV system is considered as the response of the whole surface of the structure subject to random excitation. The measured response can be processed by an operational modal analysis (OMA) method called the improved demodulation method based on a rigorous model of a rotating plate to obtain modal parameters of the rotating structure, such as damped natural frequencies and undamped full-field mode shapes. Damped natural frequencies of the rotating structure are estimated from the fast Fourier transform of the measured response. Undamped full-field mode shapes are estimated by multiplying the measured response using sinusoids whose frequencies are estimated damped natural frequencies. Experimental investigation of the 2D scan scheme of the tracking CSLDV system and OMA method is conducted, and damped natural frequencies and undamped full-field mode shapes of a rotating fan blade with different constant speeds are estimated. It is theoretically and experimentally shown that damped natural frequencies of the rotating fan blade increases with its rotation speed.
为跟踪连续扫描激光多普勒测振仪(CSLDV)系统设计了一种二维扫描方案,用于扫描受随机力激励的旋转结构的整个表面。研制了一种跟踪CSLDV系统,用于跟踪旋转结构并对其表面的激光光斑进行扫描。采用跟踪CSLDV系统的二维扫描方案测量结构的响应被认为是结构在随机激励下的整个表面的响应。采用基于旋转板严格模型的改进解调方法对实测响应进行运算模态分析(OMA),得到旋转结构的阻尼固有频率和无阻尼全场模态振型等模态参数。通过测量响应的快速傅里叶变换估计旋转结构的阻尼固有频率。通过使用频率估计为阻尼固有频率的正弦波乘以测量响应来估计无阻尼的全场模态振型。对跟踪CSLDV系统的二维扫描方案和OMA方法进行了实验研究,估计了不同恒转速下旋转风扇叶片的阻尼固有频率和无阻尼全场模态振型。理论和实验结果表明,风机叶片阻尼固有频率随转速的增加而增大。
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引用次数: 0
Prediction of a Blast Induced Peak Particle Velocity in Mining Operations: A Fuzzy Mamdani and ANFIS-Based Evaluating Methodology 采矿作业爆破峰值颗粒速度预测:基于模糊Mamdani和anfisi的评价方法
Pub Date : 2021-11-01 DOI: 10.1115/imece2021-71256
Mosa Machesa, L. Tartibu, M. Okwu
Activities in the mining industries as a result of rock blasting is the cause of extreme rock vibration which is considered a serious environmental hazard. In most cases, explosives are often used for the disintegration of rocks in opencast mine. One of the major challenges often experienced in mining industries is the case of ineffective use of explosive energy while performing such opencast operation, this could lead to disproportionate ground vibration, often measured by peak particle velocity (PPV). To reduce such ground vibration and environmental impediments, it is important to adopt creative models for the effective prediction of PPV. Considering the inevitable impact on rock mass, neighbouring structures and sometimes on human beings, an accurate prediction of ground vibrations and the evaluation of the aftereffects must be carried out prior to the actual blasting event. This research is an exposition of the prediction performance of a blast-induced PPV using a creative model -Fuzzy Mamdani Model (FMM) and a hybrid algorithm -Adaptive Neuro-Fuzzy Inference System (ANFIS), in mining operation. These models are employed to predict the blast-induced PPV, which is a measurement of the movement or vibration of a single earth particle as the shock waves from a particular location or blasting event moves through the system. Experimental dataset used in this research consists of three (3) input variables (change weight per delay, distance and scaled distance) and forty-four (44) record samples; the peak particle velocity represents the experimental result. The dataset is fed into MATLAB 2020 platform as input parameters. Results obtained using the creative and hybrid algorithms were compared based on root mean squared error (RMSE) and correlation coefficient between the experimental and predicted values of the PPV. The regression values obtained are 0.8487 and 0.97729 for the Fuzzy Mamdani model and ANFIS model respectively. From the result obtained, the best vibration prediction was achieved using the ANFIS model. It can be concluded that the ANFIS model gave a better prediction in terms of speed of computation and prediction accuracy. It is recommended that other hybrid algorithms and metaheuristic techniques be introduced and compared with the existing solution models for effective prediction of PPV in mining operations.
在矿山工业活动中,岩石爆破是造成岩石极端振动的原因,被认为是严重的环境危害。在露天矿中,爆破通常用于岩石的崩解。采矿行业经常遇到的主要挑战之一是,在进行这种露天作业时,爆炸能量的使用无效,这可能导致地面不相称的振动,通常通过峰值颗粒速度(PPV)来测量。为了减少这种地面振动和环境障碍,采用创新的模型来有效地预测PPV是很重要的。考虑到对岩体、邻近结构,有时对人体的不可避免的影响,必须在实际爆破事件发生之前进行准确的地面振动预测和余震评估。本文研究了利用模糊马姆达尼模型(fuzzy Mamdani model, FMM)和自适应神经模糊推理系统(adaptive neural -Fuzzy Inference System, ANFIS)混合算法对采矿作业中爆炸诱发PPV的预测性能。这些模型被用来预测爆炸诱发的PPV,它是对来自特定位置或爆炸事件的冲击波通过系统时单个地球粒子的运动或振动的测量。本研究使用的实验数据集由3个输入变量(每延迟变化权重、距离和缩放距离)和44个记录样本组成;峰值粒子速度表示实验结果。将数据集作为输入参数馈入MATLAB 2020平台。基于实验值和预测值的均方根误差(RMSE)和相关系数,比较了创新算法和混合算法得到的结果。模糊Mamdani模型和ANFIS模型的回归值分别为0.8487和0.97729。结果表明,采用ANFIS模型进行振动预测效果最好。结果表明,ANFIS模型在计算速度和预测精度方面具有较好的预测效果。建议引入其他混合算法和元启发式技术,并与现有的求解模型进行比较,以有效预测采矿作业中的PPV。
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引用次数: 1
Tunable Topological Wave Control in a Three-Dimensional Metastable Elastic Metamaterial 三维亚稳态弹性超材料的可调谐拓扑波控制
Pub Date : 2021-11-01 DOI: 10.1115/imece2021-69410
P. Dorin, Xiang-Rui Liu, K. W. Wang
The concepts of topological insulators in condensed matter physics have been harnessed in elastic metamaterials to obtain quasi-lossless and omnidirectional guiding of elastic waves. Initial studies concerning topological wave propagation in elastic metamaterials focused on localizing waves in 1D or 2D mechanical structures. More recent investigations involving topological metamaterials have uncovered methodologies to achieve unprecedented control of elastic waves in 3D structures. However, a 3D topological metamaterial that can be tuned online to expand functionalities and respond to external conditions has yet to be developed. To advance the state of the art, this research proposes a tunable 3D elastic metamaterial that enables the reconfiguration of a topological waveguide through the switching of metastable states. Through careful design of internal bistable elements in the metastable unit cell, a switching methodology is developed to obtain topologically distinct lattices and a full topological bandgap. Analysis of the dispersion relation for a supercell reveals the presence of a topological surface state at the interface of topologically distinct lattices. Full-scale finite element simulations illustrate topological wave propagation in a 3D structure with a path that can be tailored on-demand. The research outcomes presented in this paper could be beneficial to potential applications requiring programmable and robust energy transport in 3D mechanical structures and serve as an inspiration for further work in adaptive 3D topological metamaterials.
将凝聚态物理中拓扑绝缘子的概念应用于弹性超材料中,实现了弹性波的准无损全向引导。关于弹性超材料中拓扑波传播的初步研究主要集中在一维或二维机械结构中的波局部化。最近涉及拓扑超材料的研究发现了在三维结构中实现前所未有的弹性波控制的方法。然而,一种可以在线调整以扩展功能和响应外部条件的三维拓扑超材料尚未开发。为了提高技术水平,本研究提出了一种可调的3D弹性超材料,该材料可以通过亚稳态的切换来重新配置拓扑波导。通过对亚稳单元胞内部双稳元件的精心设计,开发了一种开关方法,以获得拓扑上不同的晶格和完整的拓扑带隙。对超级单体色散关系的分析揭示了在不同晶格的界面处存在拓扑表面态。全尺寸有限元模拟说明了拓扑波在三维结构中的传播,其路径可以按需定制。本文的研究成果可能有利于三维机械结构中需要可编程和鲁棒能量传输的潜在应用,并为自适应三维拓扑超材料的进一步研究提供灵感。
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引用次数: 0
Research on Control Strategy of Automobile Simulate Sound Based on Harmonic Algorithm 基于谐波算法的汽车仿真声控制策略研究
Pub Date : 2021-11-01 DOI: 10.1115/imece2021-70700
Zhien Liu, Rong-pei Qin, Liping Xie, Kai Liu
In order to optimize the control strategy of the electric vehicle active voice (ASG) system and improve the authenticity of the simulation sound. This paper presents a sound control method for vehicle simulation based on harmonic algorithm. In this paper, based on the harmonic algorithm, starting from the virtual rotation rate (rpm) input by ASG system, according to the data collected from the actual internal combustion engine car, design control strategy and add shift point in the system. Determine the actual rotation rate of internal combustion engine car and the shift point of throttle opening, and through the python simulation curve. In this paper, using the offset proportional series algorithm to calculate the gear transmission ratio and optimize and simulate it. Since there is no shift or rotation rate mutation in electric vehicle, using quadratic function fitting to optimize the virtual rotation rate. Complete the “virtual rotation rate” transformation of ASG system based on real-time rotation rate of electric vehicle. Finally, the whole optimization system takes the “virtual rotation rate” of the real-time rotation rate of the actual electric vehicle as the input, and takes stm32f7 Series MCU as the hardware carrier. Organize engineers and students with sound quality experience to evaluate the simulated sound quality of internal combustion engine car. The results show that the control strategy proposed in this paper can realize the sound simulation of internal combustion engine car in the electric vehicle cab, and the optimized ASG system can better meet the majority of drivers’ preference for sound than the original ASG system.
为了优化电动汽车主动语音(ASG)系统的控制策略,提高仿真声音的真实性。提出了一种基于谐波算法的车辆仿真声音控制方法。本文基于谐波算法,从ASG系统输入的虚拟转速(rpm)出发,根据实际内燃机车采集的数据,设计控制策略,并在系统中增加换挡点。确定内燃机车的实际转速和节气门开启换挡点,并通过python仿真曲线。本文采用偏置比例级数算法计算齿轮传动比,并对其进行优化仿真。由于电动汽车不存在位移和转速突变,采用二次函数拟合对虚拟转速进行优化。完成基于电动汽车实时转速的ASG系统“虚拟转速”转换。最后,整个优化系统以实际电动汽车实时转速的“虚拟转速”为输入,以stm32f7系列MCU为硬件载体。组织有音质经验的工程师和学生对内燃机汽车的模拟音质进行评估。结果表明,本文提出的控制策略能够实现内燃机汽车在电动汽车驾驶室中的声音模拟,优化后的ASG系统比原ASG系统更能满足大多数驾驶员对声音的偏好。
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引用次数: 0
Output-Only Structural System Identification Based on Symplectic Geometry Mode Decomposition 基于辛几何模态分解的纯输出结构系统辨识
Pub Date : 2021-11-01 DOI: 10.1115/imece2021-68740
Zhan Pengming, Qin Xianrong, Zhang Qing, Sun Yuantao
In this paper, a novel output-only structural system identification method is proposed based on the decomposition of the response signal by applying newly developed symplectic geometry mode decomposition (SGMD). The SGMD can decompose the output signal into a limited of single component signals which are also called symplectic geometry components (SGCs) adaptively without determining too many parameters. Then the random decrement technique (RDT) is applied to extract the free decay responses from SGCs. Finally, the modal parameters such as modal frequency and damping ratio can be identified using the Hilbert transform (HT) method. To demonstrate the validity and effectiveness of the proposed method, a numerical example and a monitored quayside container crane structure are conducted. The modal parameters of those studies can be obtained accurately and effectively by using the proposed method.
本文应用新发展的辛几何模态分解(SGMD),提出了一种基于响应信号分解的结构系统识别新方法。该方法可以在不需要确定过多参数的情况下,自适应地将输出信号分解为有限的单分量信号(也称为辛几何分量(SGCs))。然后应用随机衰减技术(RDT)提取SGCs的自由衰减响应。最后,利用希尔伯特变换(Hilbert transform, HT)方法识别模态参数,如模态频率和阻尼比。为验证该方法的有效性和有效性,通过数值算例和岸线集装箱起重机结构的监测进行了算例分析。利用该方法可以准确有效地获得这些研究的模态参数。
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引用次数: 0
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Volume 1: Acoustics, Vibration, and Phononics
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