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Parametric analytical optimization and analysis of structural seismic reduction using RIDTMD

Zhendong yu Chongji/Journal of Vibration and Shock 2025年第11期44卷 215-224页

作者： Luo, Yifan Gao, Jianbo Zhao, Wentao Sun, Hongxin Liu, Bali Wen, Qing Hunan Provincial Key Lab of Structural Engineering for Wind Resistant and Vibration Control School of Civil Engineering Hunan University of Science and Technology Xiangtan411201 China

In passive control devices, classical tuned mass damper (TMD) is the most widely used. However, classic TMDs often require larger additional mass and larger installation space in practical installation and use to bring inconvenience to practical applications. Rotational inertia double tuned mass damper (RIDTMD) is a novel and efficient vibration control device utilizing apparent mass enhancement function of inerter and the dual-tuning effect of tuning mass and tuning inerter. It has better seismic reduction performance and lightweight control feature. However, when considering optimization design of main structure control under basic excitation using RIDTMD, current design methods are mostly numerical methods, they are inconvenient to use. Here, to solve problems mentioned above, taking RMS value of displacement of main structure as the objective function, parametric analytical optimization design formula for RIDTMD seismic reduction system based on H2 optimization theory was derived. Based on the derived analytical formula, seismic reduction performance and lightweight effect of RIDTMD were analyzed with two numerical simulation methods in frequency domain and time domain, respectively to verify the correctness and applicability of the analytical formula. The simulation results showed that in frequency domain, RIDTMD is superior to TMD in terms of main structure displacement frequency response peak value control and seismic reduction bandwidth, and RIDTMD has advantages of lightweight and small working stroke;in time domain, taking a 5 MW onshore wind turbine as an example, under actual seismic wave excitation, RIDTMD is superior to TMD in terms of RMS value and peak value of seismic reduction for tower first-order longitudinal bending, and RIDTMD can realize better lightweight effect under the same performance indexes. © 2025 Chinese Vibration engineering Society. All rights reserved.

关键词： Frequency domain analysis

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On Stable Learning control Study For Underwater Robot Operation Under Ocean Currents

On Stable Learning Control Study For Underwater Robot Operat...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Shi, Bao Ou, Yongsheng Zhao, Guoliang Wang, Degang School of Control Science and Engineering Dalian University of Technology Dalian116024 China College of Electronic Information Engineering Inner Mongolia University Hohhot010021 China

ISBN: (纸本)9781665481090

With the continuous advancement and widespread application of robotics technology, reliable and adaptable control systems have become particularly critical. This strategy can not only improve the stability and operational efficiency of robots in complex interference environments, but also bring significant social benefits, especially in the exploitation of under-water resources. However, in the face of ocean currents, robot systems need to strike a balance between stability, real-time performance, and adaptability. Therefore, this article proposes a stable control strategy with generalization ability in ocean current environments, namely, a learning based robot stability control strategy. Specifically, a control law is designed based on the state offset between the expected state and the actual state to correct the position deviation of the robot. Meanwhile, Lyapunov stability theory is used to ensure the stability of the system. It should be emphasized that this strategy can be extended to different trajectory tracking without the need for repeated parameter adjustments. In addition, to avoid the interference of ocean currents affecting the positioning of the robot itself, we use visual monitoring to obtain the real-time status of the robot. Finally, multiple sets of real experiments are constructed to validate the effectiveness of the proposed strategy. © 2024 IEEE.

关键词： control system stability

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Research on rock crack contact model considering linked substances based on particle flow method

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International Journal of Mining science and Technology 2025年第4期35卷 553-571页

作者： Fukun Xiao Kai Xie Lei Shan Gang Liu Lianchong Li Fedotova Iuliia Heilongjiang Ground Pressure&Gas Control in Deep Mining Key Lab Heilongjiang University of Science and TechnologyHarbin 150022China School of Safety Engineering Heilongjiang University of Science and TechnologyHarbin 150022China School of Resources and Civil Engineering Northeastern UniversityShenyang 110819China Khabarovsk Federal Research Center of the Far Eastern Branch of the Russian Academy of Sciences Khabarovsk 68000Russia

The models constructed by particle flow simulation method can effectively simulate the heterogeneous substance characteristics and failure behaviors of ***,existing contact models overlook the rock cracks,and the various simulation methods that do consider cracks still exhibit certain *** this paper,based on Flat-Joint model and Linear Parallel Bond model,a crack contact model considering linked substance in the crack is proposed by splitting the crack contact into two portions:linked portion and unlinked portion for *** new contact model considers the influence of crack closure on the contact force-displacement *** a better compressive tensile strength ratio(UCS/T)was obtained by limiting the failure of the contact bond to be solely controlled by the contact force and moment of the linked ***,by employing the FISH Model tool within the Particle Flow Code,the contact model was constructed and verified through contact force–displacement experiments and loading-unloading tests with cracked ***,the contact model was tested through simulations of rock mechanics *** results indicate that the contact model can effectively simulate the axial and lateral strain laws of rocks simultaneously and has a relatively good reproduction of the bi-modularity of rocks.

关键词： Crack closure Contact model Compaction stage Initial effective modulus Lateral strain

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Optimal Isobath Routing Strategy based on Multibeam Bathymetry Technology 2

Optimal Isobath Routing Strategy based on Multibeam Bathymet...

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2nd IEEE International Conference on Integrated Circuits and Communication Systems, ICICACS 2024

作者： Chen, Jieyu Liu, Yansha Luo, Ao Liu, Xiaodong Kong, Siyi Xu, Yuxiang Nanjing University of Technology School of Electrical Engineering and Control Science Nanjing China Xuzhou Construction Engineering Testing Center Co. Ltd Xuzhou China

ISBN: (纸本)9798350317558

With the rapid development of channel survey technology, multibeam bathymetric system plays an increasingly important role in channel survey. Firstly, we establish a physical model, use the tangent formula to find out the depth of seawater D, after the analysis of the plane model and use the sine theorem to find out the coverage width W, and then use the spacing of the two adjacent survey lines and the coverage width, and with the help of the expression of the relationship between the overlap rate with the previous survey line is solved ?. The overlap with the previous line is then solved with the help of an expression relation. Finally, SketchUp was used to convert the given information into a three-dimensional model for analysis, and the expression for the relationship between angles and edges in a three-dimensional structure was obtained. We found that the optimal wiring strategy is "horizontal wiring along the isobaths", and the optimal number of survey lines for the vessel on these three slopes is 67 in total, with the missed area accounting for 1.325% of the total area of the region. © 2024 IEEE.

关键词： Channel Survey multibeam bathymetric optimal wiring strategy plane model survey lines

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Deep Reinforcement Learning-based Computing Offloading and Resource Allocation Algorithm in Internet of Vehicles 11

Deep Reinforcement Learning-based Computing Offloading and R...

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2023 IEEE 11th International Conference on Information, Communication and Networks, ICICN 2023

作者： Yuan, Yiping Chen, Xin Jiao, Libo Wang, Yijie Beijing Information Science & Technology University School of Control Science and Engineering Beijing China Beijing Information Science & Technology University School of Computer Science Beijing China

ISBN: (纸本)9798350314014

With the rapid emergence of the Internet of Vehicles (IoV) and 6G networks, the exponential growth in data traffic has presented a formidable challenge to the limited computational capabilities of in-vehicle devices. To overcome this challenge, mobile edge computing (MEC) offers a viable solution by offloading computationally intensive tasks to the edge servers. In this study, we design a novel joint optimization approach that leverages deep reinforcement learning (DRL) to inform decisions on computational offloading, energy consumption, and resource allocation. Our proposed scheme considers the involvement of both the base station (BS) and road side units (RSUs) in providing computing resources to the user while simultaneously minimizing energy consumption and reducing latency of computational tasks. Our simulations unequivocally establish the efficacy of the Deep Reinforcement Learning-based computing offloading and resource allocation (DCORA) algorithm. The proposed DCORA algorithm outperforms alternative baseline schemes by approximately 15% in direct comparison. © 2023 IEEE.

关键词： Reinforcement learning

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Connection Fault Diagnosis for Series-connected Lithium-ion Battery Based on Curve Similarity Calculation and Curve Conversion 6

Connection Fault Diagnosis for Series-connected Lithium-ion ...

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6th CAA International Conference on Vehicular control and Intelligence, CVCI 2022

作者： Ding, Xinchao Cui, Zhongrui Cui, Naxin School of Control Science and Engineering Shandong University Jinan China

ISBN: (数字)9781665453745

ISBN: (纸本)9781665453745

In electric vehicles (EVs), the connection faults in lithium-ion battery packs may cause accelerated battery aging and inconsistency. Timely and effective connection fault diagnosis is of great significance to ensure the safe operation of EVs. This paper proposes a connection fault diagnosis method for series-connected battery packs based on the combination of edit distance on real-sequence (EDR) and charging capacity-voltage (QV) curve conversion. The method can determine the location of the faulty cell and the preliminary quantification of fault degree by calculating the similarity of the cell charging curve. Then, by calculating the conversion parameters, the specific connection resistance value can be calculated and distinguished from the internal resistance. A set of experiments were designed on series-connected batteries to simulate the connection faults with different severity. The experimental results show that the method can effectively locate the connection fault and diagnose its severity in the series-connected batteries without complex battery model. © 2022 IEEE.

关键词： Lithium-ion batteries

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A traffic data imputing method based on multisource recurrent neural network

A traffic data imputing method based on multisource recurren...

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2021 International Conference on Computer Application and Information Security, ICCAIS 2021

作者： Ji, Zhongchang Zhu, Wenxing School of Control Science and Engineering Shandong University Jinan China

ISBN: (纸本)9781510655218

This paper proposes a method to fill in the missing traffic data by using multi-source data. Due to the regularity and specificity of traffic data, Gru network is used to capture missing patterns. The processed missing data, mask data and time interval data are input into Gru network for more in-depth information capture. The results of road speed matching for the floating vehicle data on the road in the corresponding period are further studied by Gru network, and the two results are fused to obtain the filling value of missing value. © The Authors.

关键词： Recurrent neural networks

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Synergistic cytotoxicity of binary combinations of inorganic and organic disinfection byproducts assessed by real-time cell analysis

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Journal of Environmental sciences 2022年第7期34卷 222-231页

作者： Mengge Fan Longfei Shu Xinran Zhang Miao Yu Yongting Du Junlang Qiu Xin Yang Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology School of Environmental Science and EngineeringSun Yat-sen UniversityGuangzhou 510006China

Chlorine, chlorine dioxide, and ozone are widely used as disinfectants in drinking water treatments. However, the combined use of different disinfectants can result in the formation of various organic and inorganic disinfection byproducts(DBPs). The toxic interactions, including synergism, addition, and antagonism, among the complex DBPs are still unclear. In this study, we established and verified a real-time cell analysis(RTCA) method for cytotoxicity measurement on Chinese hamster ovary(CHO) cell. Using this convenient and accurate method, we assessed the cytotoxicity of a series of binary combinations consisting of one of the 3 inorganic DBPs(chlorite, chlorate, and bromate) and one of the 32 regulated and emerging organic DBPs. The combination index(CI) of each combination was calculated and evaluated by isobolographic analysis to reflect the toxic interactions. The results confirmed the synergistic effect on cytotoxicity in the binary combinations consisting of chlorite and one of the 5 organic DBPs(2 iodinated DBPs(I-DBPs) and 3 brominated DBPs(Br-DBPs)), chlorate and one of the 4 organic DBPs(3 aromatic DBPs and dibromoacetonitrile), and bromate and one of the 3 organic DBPs(2 I-DBPs and dibromoacetic acid). The possible synergism mechanism of organic DBPs on the inorganic ones may be attributed to the influence of organic DBPs on cell membrane and cell antioxidant system. This study revealed the toxic interactions among organic and inorganic DBPs, and emphasized the latent adverse outcomes in the combined use of different disinfectants.

关键词： Disinfection byproducts(DBPs) Real-time cell analysis(RTCA) Synergistic cytotoxicity

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DOUBLE WAVELET THRESHOLD FILTER DESIGN FOR REAL-TIME ADAPTIVE DENOISING IN OA-ICOS

DOUBLE WAVELET THRESHOLD FILTER DESIGN FOR REAL-TIME ADAPTIV...

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2024 Jiangsu Annual Conference on Automation, JACA 2024

作者： Deng, Yixin Wang, Zairan Chen, Yang-Yang Liu, Qin Wang, Xiangyu School of Automation Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China School of Cyber Science and Engineering Southeast University Nanjing China

ISBN: (纸本)9781837242689

In the Off-Axis Integrated Cavity Output Spectroscopy (OA-ICOS) technique, single-stage filters are commonly used to reduce noise and improve the signal-to-noise ratio, enabling more precise CO2 concentration detection. However, these filters often underperform under real-time conditions. To enhance real-time performance, this paper proposes a novel framework based on Double Wavelet Threshold Filter (DWTF) that adaptively suppresses noise while preserving key features of CO2 concentration signal. Firstly, one wavelet threshold filter (WT) is introduced to calculate the mean of the current sequence, providing an initial denoising step. Secondly, another WT is employed to extract features from a longer sequence for adaptive computation of the discount factor. Finally, an exponential moving average filter (EMA) is applied to combine both current and historical data to produce a smoother aggregated output. To validate the effectiveness, DWTF was compared with other conventional algorithms for a CO2 dataset with three distinct states: smooth, ship and mutant, obtained by OA-ICOS. The experimental results demonstrate that DWTF performs effectively in all three states. © The Institution of engineering & Technology 2024.

关键词： Adaptive filters

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Object Detection Methods for Autonomous Driving in Adverse Weather Conditions 3

Object Detection Methods for Autonomous Driving in Adverse W...

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3rd International Conference on Electronics and Information Technology, EIT 2024

作者： Wang, Yuantao Lu, Yuanyao Qiu, Yongsheng Yang, Chaochao North China University of Technology School of Electrical and Control Engineering Beijing China North China University of Technology School of Information Science and Technology Beijing China

ISBN: (纸本)9798350369151

Autonomous driving systems open up a new frontier in the automotive industry, offering new possibilities for future transportation with increased efficiency and a comfortable experience. However, object detection in adverse weather conditions remains a challenge that hinders the advancement of higher-level autonomous driving. This paper provides a detailed report on the latest developments in target detection algorithms under adverse weather conditions. It analyzes the impact of adverse weather on autonomous vehicle sensors, the establishment and use of related datasets, research on image restoration algorithms for adverse weather conditions and their effects on target detection tasks, and the application of domain adaptation methods in transfer learning for target detection. Additionally, the paper discusses future work and potential research areas in this field. © 2024 IEEE.

关键词： Automotive industry

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