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Vibration analysis of sandwich beam with honeycomb core and piezoelectric facesheets affected by PD controller PD控制器对蜂窝芯压电夹层梁的振动分析
IF 3.5 3区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2021-08-01 DOI: 10.12989/SSS.2021.28.2.195
Zeinab Soleimani-Javid, S. Amir, Z. K. Maraghi
Free vibration analysis of a sandwich beam with honeycomb core and piezoelectric face sheets, which is rested on the viscoelastic foundation is investigated. The thermal environment and the electric field are applied to this structure. Also, it is affected by the proportional-derivative (PD) controller. The amount of gain in this controller can affects the vibration frequency. The displacement components are expressed by improved high-order sandwich panel theory (IHSAPT) that considers continuity conditions for transverse shear stress at the interfaces and the zero transverse shear stresses conditions on the upper and lower surfaces of the beam and core flexibility. The motion equations are derived and solved by Hamilton's principle and Navier's method, respectively. This paper examines the effects of various parameters, such as the internal aspect ratio and the cell angle/thickness of the honeycomb core, temperature variations, viscoelastic environment, electric load, and control gain on its natural frequencies. The results show when the honeycomb core's to face sheet's thickness ratio increases, the beam dimensionless frequency increases, too. Also, by increasing the internal aspect ratio of honeycomb core, the frequency of sandwich beam decreases. The results of this study can be used to vibration control in aerospace engineering and constructions.
研究了粘弹性地基上蜂窝芯压电面板夹层梁的自由振动分析。热环境和电场被应用于该结构。此外,它还受到比例微分(PD)控制器的影响。该控制器中的增益量会影响振动频率。位移分量由改进的高阶夹芯板理论(IHSAPT)表示,该理论考虑了界面处横向剪切应力的连续性条件以及梁上下表面和芯体柔性上的零横向剪应力条件。分别用Hamilton原理和Navier方法推导和求解了运动方程。本文研究了蜂窝芯的内长宽比和蜂窝角/厚度、温度变化、粘弹性环境、电负载和控制增益等各种参数对其固有频率的影响。结果表明,随着蜂窝芯板厚度比的增大,梁的无量纲频率也随之增大。同时,通过增加蜂窝芯的内部纵横比,夹层梁的频率降低。研究结果可用于航空航天工程和结构的振动控制。
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引用次数: 1
Modifications on F 2 MC tubes as passive tunable vibration absorbers F2 MC管作为被动可调谐减振器的改进
IF 3.5 3区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2021-08-01 DOI: 10.12989/SSS.2021.28.2.153
Shiren O. Muhammad, N. A. Hussain
This paper presents new parameters for damping improvement in F2MC tubes performance as tunable vibration absorbers. They offer very good performance with environments having susceptibility to high frequency vibration noise. This study highlights the behavior of changing some parameters of F2MC tubes which never have been studied before. These parameters include thickness ratio between each two respective layers and fluid type that the tubes are filled with. In this paper the beam governing equations with the tube's stress analyses equations are solved for finding the combined system's response by MATLAB® software function solvers. To ensure accuracy of modifications, validations have been proposed by performing illustrative examples and comparing the results with the existing data available in literature. The results showed improvements of F2MC tubes performance 20% over previous studies achievements by studying the thickness ratio, and another 12.82% can be added by using glycerin instead of water under the same conditions. Finally, the reduction of 34.34 dB in first mode amplitude of vibration was achieved in the beam's frequency response function plot.
本文提出了新的参数,以改善F2MC管作为可调谐减振器的阻尼性能。它们在易受高频振动噪声影响的环境中提供了非常好的性能。这项研究强调了改变F2MC管的一些参数的行为,这是以前从未研究过的。这些参数包括每两个相应层之间的厚度比和管中填充的流体类型。本文通过MATLAB®软件函数求解器求解梁的控制方程和管的应力分析方程,以求得组合系统的响应。为了确保修改的准确性,已经通过执行示例并将结果与文献中现有的数据进行比较来提出验证。结果表明,通过研究厚度比,F2MC管的性能比以前的研究成果提高了20%,在相同条件下,用甘油代替水可以再提高12.82%。最后,在梁的频率响应函数图中,实现了34.34dB的一阶模态振幅降低。
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引用次数: 0
An inerter-system chain and energy-based optimal control of adjacent single-degree-of-freedom structures 间系统链及基于能量的相邻单自由度结构最优控制
IF 3.5 3区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2021-08-01 DOI: 10.12989/SSS.2021.28.2.245
Qingjun Chen, Zhipeng Zhao, Zhang Ruifu
Because of the limited land resources and preference of centralized services, more structures are often built close to each other, correspondingly yielding a demand that mitigates the dynamic responses of adjacent structures. Utilizing the intrinsic potential of the inerter to improve structural energy performances, an inerter-system chain is proposed for the adjacent singledegree-of-freedom structures, which forms a novel configuration featuring the reduction in input energy transmitted to the adjacent structures. The inerter-system chain is realized by two end-placed inerter-dashpot dampers and inter-placed springinerter-dashpot elements arranged in parallel. Stochastic energy balance analysis is conducted to derive a closed-form energy equation that reveals the energy basis of the inerter-system chain. An energy-based and bi-objective optimization strategy is developed with simultaneous consideration of displacement and energy performances, particularly easy-to-use design formulae being derived. The findings of this study show that a complete inerter-system chain exhibits a significant multi-reduction in the structural displacement, shear force, and dissipation energy burden. Particularly, the effectiveness of reducing the input power and vibrational energy transmitted into the entire structures counts on the series inerter-chain, which differentiates the proposed chain from alternative layouts. The proposed energy-based design framework is capable of minimizing the energy dissipation cost, with target displacement control demand satisfied.
由于有限的土地资源和集中服务的偏好,更多的结构往往建在彼此靠近,相应产生的需求,减轻了相邻结构的动态响应。利用干涉器的内在潜力来提高结构的能量性能,针对相邻的单自由度结构提出了一种干涉系统链,形成了一种新的构型,其特点是传递给相邻结构的输入能量减少。互联系统链由两个端置互联减震器和并联的互联减震器弹簧元件实现。通过随机能量平衡分析,导出了一个封闭形式的能量方程,揭示了系统间链的能量基础。提出了一种基于能量和双目标的优化策略,同时考虑了位移和能量性能,特别是推导了易于使用的设计公式。研究结果表明,一个完整的相互作用体系链对结构位移、剪力和耗散能负担具有显著的多重减小作用。特别是,减少输入功率和传递到整个结构的振动能量的有效性取决于串联互扰链,这将所提出的链与其他布局区分开来。提出的基于能量的设计框架能够在满足目标位移控制需求的情况下使耗能成本最小化。
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引用次数: 5
Application of multi-hybrid metaheuristic algorithm on prediction of split-tensile strength of shear connectors 多混合元启发式算法在抗剪连接件劈拉强度预测中的应用
IF 3.5 3区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2021-08-01 DOI: 10.12989/SSS.2021.28.2.167
Chao Liu, Y. Zandi, Abouzar Rahimi, Yongli Peng, G. Ge, M. Khadimallah, A. Issakhov, Subbotina Tatyana Yu
Shear connectors play a major role in the development of composite steel concrete systems. The behavior of shear connectors is usually calculated by push-out measurements. These experiments are expensive and take a lot of time. Soft Computation (SC) may be applied as an additional solution to remove the need for push-out testing. The objective of the research is to explore the implementation, as sub-branches of the SC approaches, of artificial intelligence (AI) techniques for the prediction of advanced C-shaped shear connectors. To this end, multiple push-out tests on these connectors will be carried out and the requisite data is obtained for the AI models. The Grey Wolf Optimizer algorithm (GWO) is built to define the parameters that influence the shear strength of angle connectors. Two regression metrics as determination coefficient (R2) and root mean square (RMSE) were used to measure the results of model. Furthermore, only four parameters in the predictive models are sufficient to provide an extremely precise prediction. It was found that GWO is a faster method and is able to achieve marginally higher output indices than in experiments.
抗剪连接件在钢-混凝土复合体系的发展中发挥着重要作用。抗剪连接件的性能通常通过推出测量来计算。这些实验既昂贵又耗时。软计算(SC)可以作为一种额外的解决方案来应用,以消除推出测试的需要。本研究的目的是探索人工智能(AI)技术作为SC方法的分支,用于预测先进的C形抗剪连接件。为此,将对这些连接器进行多次推出测试,并获得人工智能模型所需的数据。Grey-Wolf Optimizer算法(GWO)用于定义影响角连接件抗剪强度的参数。采用确定系数(R2)和均方根(RMSE)两个回归指标来衡量模型的结果。此外,预测模型中只有四个参数就足以提供极其精确的预测。研究发现,GWO是一种更快的方法,并且能够实现比实验略高的输出指标。
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引用次数: 2
Seismic resistant design of highway bridge with multiple-variable frequency pendulum isolator 公路桥梁多变频摆隔振器的抗震设计
IF 3.5 3区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2021-08-01 DOI: 10.12989/SSS.2021.28.2.229
Liangde Xu, Wen Jianian, Q. Han, Du Xiuli
Multiple variable frequency pendulum isolator (MVFPI) has been recently developed as a superior alternative to the traditional friction pendulum bearing (FPB) especially for the seismic isolation in near-fault regions. The MVFPI is characterized by its variable frequency and self-adaptability, which are achieved by piecewise function of sliding surface and shape memory alloy (SMA). The objective of this study is to propose the design algorithm of the MVFPIs in highway bridge as an extension of the direct displacement-based design (DDBD) framework. The nonlinearities of the structural components are taken into account in the design procedure, and the corresponding damage states satisfy the two-stage design philosophy. The accuracy and robustness of the design procedure are verified by an isolated four-span highway bridge through nonlinear time history (NLTH) analyses. The analytical results indicate that the proposed design procedure can predict the profile of deck displacement and amplitude, as well as the damage states of the piers. From statistic aspect, the fragility analyses illustrate that the bridge isolated by MVFPIs exhibits better seismic performance than that of the bridge isolated by FPBs.
多变频摆隔震器(MVFPI)是近年来发展起来的一种替代传统摩擦摆轴承(FPB)的新型隔震装置,尤其适用于近断裂带的隔震。MVFPI的特点是通过滑动表面的分段函数和形状记忆合金(SMA)来实现频率的变化和自适应。本研究的目的是提出公路桥梁mvfpi的设计算法,作为直接基于位移的设计(DDBD)框架的扩展。在设计过程中考虑了结构构件的非线性,相应的损伤状态满足两阶段设计原则。通过对一座孤立四跨公路桥梁的非线性时程分析,验证了设计方法的准确性和鲁棒性。分析结果表明,所提出的设计方法可以预测桥面位移和振幅的分布,以及桥墩的损伤状态。从易损性分析的统计角度来看,mvffi隔震桥梁的抗震性能优于FPBs隔震桥梁。
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引用次数: 0
Machine learning-based prediction and performance study of transparent soil properties 基于机器学习的透明土壤性质预测与性能研究
IF 3.5 3区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2021-08-01 DOI: 10.12989/SSS.2021.28.2.289
Bo Wang, H. Hou, Z. Zhut, Wang Xiao
An indispensable process of geotechnical modeling with transparent soils involves analyzing images and soil property simulations. This study proposes an objective framework for quantitative analysis of the influential mechanism of three key factors, namely, different aggregate proportions (DAP), solvent ratio (SR), and solute solution ratio (SSR) on transparent soils' transparency and shear strength. 125 groups of transparent soil samples considering these three factors were prepared to investigate their impact on transparency and shear strength through Elastic Net regression. Spearman correlation analysis was performed for transparency and shear strength. Furthermore, by comparing the performance of XGBoost, GBDT, Random Forest, and SVR after hyperparameter tuning in predicting transparency and shear strength, XGBoost proved to be the optimal machine learning model with the lowest MSE of 0.0048 and 0.0306 and was innovatively adopted to analyze how various factors affect the transparency and shear strength, thus enhancing the interpretability of machine learning. A ranking system, according to the importance scores of XGBoost, shows that SSR was the most important factor affecting both shear strength and transparency of transparent soils, with importance scores being 0.45 and 0.57, respectively. Our study may shed light on the preparation and performance study of transparent soils.
透明土壤岩土工程建模的一个不可或缺的过程包括分析图像和土壤特性模拟。本研究提出了一个客观的框架来定量分析三个关键因素,即不同的集料比(DAP)、溶剂比(SR)和溶质溶液比(SSR)对透明土壤透明度和抗剪强度的影响机制。制备了125组考虑这三个因素的透明土样品,通过弹性网回归研究它们对透明度和抗剪强度的影响。对透明度和剪切强度进行了Spearman相关性分析。此外,通过比较XGBoost、GBDT、随机森林和SVR在超参数调整后预测透明度和剪切强度的性能,XGBoost被证明是MSE最低为0.0048和0.0306的最优机器学习模型,并被创新性地用于分析各种因素如何影响透明度和抗剪强度,从而增强了机器学习的可解释性。根据XGBoost的重要性得分,排序系统显示SSR是影响透明土抗剪强度和透明度的最重要因素,重要性得分分别为0.45和0.57。我们的研究有助于透明土壤的制备和性能研究。
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引用次数: 0
Real-time structural health monitoring system based on streaming data 基于流数据的结构健康实时监测系统
IF 3.5 3区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2021-08-01 DOI: 10.12989/SSS.2021.28.2.275
Qilin Zhang, Siyuan Sun, B. Yang, R. Wüchner, Licheng Pan, Haitao Zhu
In this paper, a novel real-time structural health monitoring (SHM) system based on streaming data is proposed. In contrast to a traditional SHM system, the proposed system implements a series of optimizations for data transmission and processing to reduce the latency and better satisfy the real-time requirement. The concept of the watermark in the streaming system is adopted to address the problem of when to trigger the time window calculation under the real-time requirement. Moreover, a well-designed parallel mechanism is used to satisfy the multistage computation requirement in the parallel data stream. A case study in which the proposed system is applied to the Shanghai Tower is presented. The peak picking method is used as an example in the test environment to track the latency of each main operation under different parallelism schemes. The results show that computing in parallel effectively reduces the latency and provides a reference for integrating the random decrement technique (RDT), stochastic subspace identification (SSI), or other more complex but effective algorithms in parallel into the system in the future. The total latency under the test environment from data generation to data transmission to the web server is approximately only 200-400 ms, which indicates the excellent real-time performance of the system.
提出了一种基于流数据的结构实时健康监测系统。与传统的SHM系统相比,该系统对数据传输和处理进行了一系列优化,以减少延迟,更好地满足实时性要求。采用了流系统中水印的概念,解决了在实时性要求下何时触发时间窗计算的问题。此外,采用了设计良好的并行机制来满足并行数据流的多级计算需求。最后给出了该系统在上海中心大厦的应用实例。以峰值拾取方法为例,在测试环境中跟踪不同并行方案下各主操作的延迟。结果表明,并行计算有效地降低了延迟,为将来将随机减量技术(RDT)、随机子空间识别(SSI)或其他更复杂但有效的并行算法集成到系统中提供了参考。在测试环境下,从数据生成到数据传输到web服务器的总延迟约为200-400 ms,表明系统具有良好的实时性。
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引用次数: 2
Advancing real-time hybrid simulation for coupled nonlinear soil-isolator-structure system 推进非线性隔土-结构耦合系统的实时混合仿真
IF 3.5 3区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2021-07-01 DOI: 10.12989/SSS.2021.28.1.105
Hongwei Li, A. Maghareh, Johnny Condori Uribe, H. Montoya, S. Dyke, Zhao-dong Xu
Experiments involving soil-structure interaction are often constrained by the capacity and other limitations of the shake table. Additionally, it is usually necessary to consider different types of soil in experiments. Real-time hybrid simulation (RTHS) offers an alternative method to conduct such tests. RTHS is a cyber-physical testing technique that splits the dynamic system under investigation into numerical and physical components, and then realistically couples those components in a single test. A limited number of previous studies involving soil-structure interaction have been conducted using RTHS, with a focus on linear models and systems. The presence of isolators was not considered in these studies to the authors
涉及土壤-结构相互作用的实验通常受到振动台的容量和其他限制的约束。此外,在实验中通常有必要考虑不同类型的土壤。实时混合仿真(RTHS)提供了一种进行此类测试的替代方法。RTHS是一种网络物理测试技术,它将正在研究的动态系统拆分为数字和物理组件,然后在单个测试中真实地耦合这些组件。以前使用RTHS进行的涉及土壤-结构相互作用的研究数量有限,重点是线性模型和系统。作者在这些研究中没有考虑隔离器的存在
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引用次数: 1
A study of a new hybrid vibration energy harvester based on broadband-multimode 基于宽带-多模混合振动能量采集器的研究
IF 3.5 3区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2021-07-01 DOI: 10.12989/SSS.2021.28.1.029
Bing Chen, Shi-Qi Li, Xiaolei Tang, Lijie Zhang
To improve the energy conversion efficiency and working frequency bandwidth of a single frequency piezoelectric vibration energy harvester, a new type of hybrid vibration energy harvester is developed which is combined with the mechanism of piezoelectric and electromagnetic energy conversion. The system comprises of a PZT cantilever beam, an elastic suspended magnetic mass, a magnet block attached to the end of the cantilever beam and a resonator. The addition of resonator can not only increase the mode, but also adjust the frequency of harvester flexibly. Nonlinear magnetic force of magnet block not only broadens the frequency band and improves the output performance of the system, but also changes the resonant frequency to make the harvester have better adjustable performance. On this basis, an improved electromechanical coupled analytical model of continuum is proposed which can be solved by the Runge-Kutta algorithm and the influence of different factors (the mass and spring stiffness of the resonator, as well as the electromechanical coupling coefficient, electromagnetic coupling coefficient, magnet mass and magnetic flux) on the output are analyzed. According to the prototype of the vibration energy harvester developed, an experimental system was built. The performance of the independent and hybrid energy harvesters is evaluated by experimental and analytical methods. The peak output voltage of the piezoelectric part was about 4 times that of the electromagnetic part. The peak output current of the electromagnetic part is about 30 times that of the piezoelectric part. The study results show that the proposed new hybrid vibration energy harvester can achieve a wider frequency range and multimodal vibration energy harvesting. In addition, the bandwidth and power of the harvester can be dynamically adjusted by changing the resonator or electromechanical coupling coefficient, and the bandwidth of the harvester can also be adjusted by changing the quality and characteristics of the magnet.
为了提高单频压电振动能量采集器的能量转换效率和工作频带,将压电和电磁能量转换机制相结合,开发了一种新型的混合式振动能量采集器。该系统包括PZT悬臂梁、弹性悬浮磁性体、连接到悬臂梁末端的磁体块和谐振器。谐振器的加入不仅可以增加谐振频率,而且可以灵活地调节采集器的频率。磁块的非线性磁力不仅拓宽了系统的频带,提高了系统的输出性能,而且改变了谐振频率,使采集器具有更好的可调性能。在此基础上,提出了一种改进的连续体机电耦合分析模型,该模型可以用龙格-库塔算法求解,并分析了不同因素(谐振器的质量和弹簧刚度,以及机电耦合系数、电磁耦合系数、磁体质量和磁通量)对输出的影响。根据研制的振动能量采集器样机,建立了实验系统。通过实验和分析方法对独立式和混合式能量采集器的性能进行了评估。压电部件的峰值输出电压是电磁部件的峰值电压的大约4倍。电磁部分的峰值输出电流大约是压电部分的30倍。研究结果表明,所提出的新型混合式振动能量采集器可以实现更宽的频率范围和多模态的振动能量采集。此外,采集器的带宽和功率可以通过改变谐振器或机电耦合系数来动态调整,采集器的宽度也可以通过改变磁体的质量和特性来调整。
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引用次数: 1
Debonding defect quantification method of building decoration layers via UAV-thermography and deep learning 基于无人机热成像和深度学习的建筑装饰层脱粘缺陷量化方法
IF 3.5 3区 工程技术 Q2 ENGINEERING, CIVIL Pub Date : 2021-07-01 DOI: 10.12989/SSS.2021.28.1.055
Peng Xiong, Xingu Zhong, Anhua Chen, Chao Zhao, Canlong Liu, Y. Chen
The falling offs of building decorative layers (BDLs) on exterior walls are quite common, especially in Asia, which presents great concerns to human safety and properties. Presently, there is no effective technique to detect the debonding of the exterior finish because debonding are hidden defect. In this study, the debonding defect identification method of building decoration layers via UAV-thermography and deep learning is proposed. Firstly, the temperature field characteristics of debonding defects are tested and analyzed, showing that it is feasible to identify the debonding of BDLs based on UAV. Then, a debonding defect recognition and quantification method combining CenterNet (Point Network) and fuzzy clustering is proposed. Further, the actual area of debonding defect is quantified through the optical imaging principle using the real-time measured distance. Finally, a case study of the old teaching-building inspection is carried out to demonstrate the effectiveness of the proposed method, showing that the proposed model performs well with an accuracy above 90%, which is valuable to the society.
外墙建筑装饰层脱落现象十分普遍,尤其是在亚洲,这对人类安全和财产造成了极大的关注。目前,由于脱胶是一种隐藏的缺陷,没有有效的技术来检测外饰面的脱胶。本研究提出了一种通过无人机热成像和深度学习识别建筑装饰层脱胶缺陷的方法。首先,对脱胶缺陷的温度场特性进行了测试和分析,表明基于无人机识别BDL脱胶是可行的。然后,提出了一种结合CenterNet(点网络)和模糊聚类的去粘缺陷识别和量化方法。此外,通过光学成像原理使用实时测量的距离来量化脱胶缺陷的实际面积。最后,通过对老教学楼检测的实例分析,验证了该方法的有效性,表明该模型性能良好,准确率在90%以上,具有一定的社会实用价值。
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引用次数: 4
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