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Interfacial behaviors, kinetic analysis and dynamic parameters of disturbance waves in 3 x 3 rod bundle channels

PROGRESS IN NUCLEAR ENERGY 2025年 184卷

作者： Jin, Guangyuan Bai, Jinghu Li, Weilian He, Hongye Hou, Yandong Northeast Elect Power Univ Sch Energy & Power Engn Jilin 132012 Peoples R China

To facilitate operational monitoring and accident management in various nuclear power plants, it is essential to investigate the interfacial behaviors, parameter characteristics, and formation mechanisms of annular flow in rod bundle channels. A visual experimental system was developed to record and classify the interfacial behaviors of disturbance waves on side and corner rods. The results indicated that the disturbance waves can be categorized into Small-scale waves, Bag-crest waves, and Ligament-crest waves. The flow map of the two channels indicated that wave structures with lower heights in Channel-1 appeared earlier when the liquid phase velocity remained constant. The peak values in the Power Spectral Density (PSD) results reflect the type and energy of various waves. The highest peak value gradually increases as the wave structure transitions from SS, BC, LC to LC-ll waves. The increasing texture lines with the highest values in the RP results indicate a distinct periodicity of BC waves. Furthermore, the periodicity of BC waves is more pronounced on the corner rod than on the side rod. The MPE value increases as wave types change from Small-scale to Single-crest waves. Additionally, the value of liquid film thickness are generally higher than that of pressure drop. The wave height, velocity, and frequency under different flow conditions were presented and compared. The results indicated that variations in dynamic parameters are closely related to the characteristics of disturbance wave structures.

关键词： Disturbance waves Interfacial behaviors Kinetic analysis dynamic parameters

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Investigation of the Effect of Coating Light Steel Container Houses with Nano-TiO2 on dynamic parameters Using OMA

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BUILDINGS 2025年第6期15卷

作者： Gunday, Furkan Giresun Univ Fac Engn Dept Civil Engn TR-28200 Giresun Turkiye

In recent years, the integration of nano titanium dioxide (TiO2) into building materials has become a popular research topic due to its superior mechanical, photocatalytic and self-cleaning properties. In this study, the dynamic behavior of a light steel container house model coated with nano-TiO2 is investigated using Operational Modal Analysis (OMA). The effects of TiO2 on the natural frequencies, damping ratios and mode shapes of the light steel container house model are investigated. The Stochastic Subspace Identification-Unweighted Principal Component (SSI-UPC) method is used to extract the modal parameters from the ambient vibration data. The results show that the TiO2 coating significantly increases the stiffness and improves the damping properties by increasing the natural frequencies of the light steel container house model. The findings indicate that nano-TiO2 coatings can increase the structural integrity and durability of light steel container houses. This study provides a foundation for future research on nano-reinforced coatings in light steel structural systems.

关键词： operational modal analysis dynamic parameters titanium dioxide (TiO2) damping nano-coating

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An Approach for Identifying dynamic parameters in Robotic Systems With Inconsistent Joint Measurements

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JOURNAL OF dynamic SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME 2025年第1期147卷 011002页

作者： Zhu, Weiliang Zhang, Guoteng Rong, Xuewen Li, Yibin Shandong Univ Sch Control Sci & Engn Jinan 250061 Peoples R China

Achieving accurate robot control and realistic robot simulation relies on the precise modeling of robotic dynamics. Although the identification method for obtaining dynamic parameters has been developed for several years, joint inconsistency has largely been disregarded in prior studies. The inconsistency of joint actuators results in varying confidence levels of their measurement results, leading to the departure of the final identification parameters from valid values, thereby impacting the control performance. This paper presents a novel identification method that effectively addresses the issue of joint inconsistency by assigning distinct weights to each joint. The presented approach extends the least square (LS) method and incorporates the particle swarm optimization (PSO) algorithm to calculate the weights of each individual joint. This approach is referred to as PSO-based weighted least square (PWLS). Simulation experiments demonstrated the superior identification accuracy of the PWLS method compared to the LS method in a robot system characterized by joint inconsistency. Moreover, the experiments were performed on a three degrees-of-freedom (DOFs) robotic limb, which exhibited improved identification performance in both the excitation and verification trajectories. These findings have promising implications for enhancing the control and simulation of robotic systems.

关键词： dynamic parameters system identification particle swarm optimization weighted least squares

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A dynamic parameters genetic algorithm for collaborative strike task allocation of unmanned aerial vehicle clusters towards heterogeneous targets

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APPLIED SOFT COMPUTING 2025年 175卷

作者： Zhang, Chao Guo, Jianlu Wang, Fei Chen, Boyuan Fan, Chunshi Yu, Linghui Wang, Zhiwen Northwestern Polytech Univ Sch Aeronaut Dept Integrated Technol & Control Engn Xian 710072 Peoples R China Natl Key Lab Aircraft Design Xian 710072 Peoples R China DFH Satellite Co Ltd Beijing 100094 Peoples R China

Collaborative strikes by unmanned aerial vehicle clusters (UAVCs) is becoming a key focus in the future air warfare, which can significantly enhance warfare effectiveness and reduce costs. To exactly describe the real battlefield scenarios, various heterogeneous strike-targets should be embedded. However, it will significantly increase the complexity of multi-constraint combinatorial optimization problem, thus the traditional genetic algorithm (GA) is difficult to solve efficiently due to its unchanged gene operator. In this paper, a dynamic parameters genetic algorithm has been proposed for UAVCs collaborative task allocation towards heterogeneous targets. Firstly, according to the differences of type, value, combat and defense, the heterogeneous strike-targets have been abstracted into strike target points and the UAVCs have been formulated into a set. Secondly, an innovative multiple unmanned aerial vehicles duplicate tasks orienteering problem (MUDTOP) model has been built to achieve multiple strikes on certain targets. Finally, the new triple-chromosome encoding and duplicate gene segments have been designed, and a novel genetic algorithm called DPGA-TEDG has been presented through dynamic gene operator. Experimental comparison results across various battlefield scales demonstrate that the outcomes of the proposed DPGA-TEDG algorithm not only meet practical requirements, but also outperform that of the other three algorithms in both optimality and robustness. Especially, in the battlefield scale environment of 180 km* 180 km, the average objective value of DPGA-TEDG is better than that of traditional genetic algorithm (GA-TEDG), simulated annealing algorithm (SA) and particle swarm optimization algorithm (PSO) about 2.71 %, 6.58 % and 20.49 %, respectively.

关键词： UAV cluster Heterogeneous targets Task allocation dynamic parameters Genetic algorithm

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dynamic parameters optimization of straddle-type monorail vehicles based multiobjective collaborative optimization algorithm

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VEHICLE SYSTEM dynamicS 2020年第3期58卷 357-376页

作者： Zhou, Junchao Du, Zixue Yang, Zhen Xu, Zhouzhou Chongqing Jiaotong Univ Inst Urban Rail Chongqing Peoples R China Sichuan Univ Sci & Engn Sch Mech Engn Zigong Sichuan Peoples R China Sichuan Univ Sci & Engn Sichuan Prov Key Lab Proc Equipment & Control Zigong Sichuan Peoples R China

The dynamic parameters of Straddle-type monorail vehicles with single-axle bogies are optimised by utilising the multi-body dynamic method. The dynamic parameter optimisation is conducted aiming at the curve negotiation properties, comfort and tire eccentric wear of monorail vehicles. The optimisation model is established with software ADAMS and modeFRONTIER and the Sobol is adopted for sensitivity analysis to acquire the optimised parameters. Finally, the multiobjective collaborative optimisation algorithm is utilised for optimised analysis. According to the results, the proposed method can conduct multi-objective optimisation to the monorail vehicles in a successful way. The curve negotiation properties and comfort are improved, and the tire wear is reduced with dynamic parameters after optimisation. Especially, a conversion strategy of the consistent objective function is proposed aiming at multiobjective nonlinear convergence.

关键词： Straddle-type monorail vehicles dynamic parameters multiobjective collaborative algorithm sensitivity analysis

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dynamic parameters of vehicles under heterogeneous traffic stream with non-lane discipline:An experimental study

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Journal of Traffic and Transportation Engineering(English Edition) 2018年第5期5卷 386-405页

作者： Geetimukta Mahapatra Akhilesh Kumar Maurya Department of Civil Engineering Indian Institute of Technology Guwahati

On the heterogeneous and no lane disciplined traffic, the abreast maneuver of vehicles depends upon the driver behavior, vehicle type and most importantly the traffic parameters such as vehicle speed and acceleration. Hence, the drivers have two basic tasks while driving, first is to control the vehicle＇s position along longitudinal direction of motion and second is to control the vehicle＇s position along lateral direction i.e. the width of the roadway. The relation between the dynamic parameters （speed and lateral/longitudinal acceleration）, can very well represent the driving behavior of vehicles in mixed with weak or no lane disciplined traffic. Hence, the study of longitudinal and lateral control of vehicles in a comprehensive manner is necessary. In the present paper, driving behavior of vehicles are studied by analyzing longitudinal and lateral acceleration/deceleration （A/D） with operating speed of vehicles on different straight roadway sections. Data are collected from five major cities of India using GPS based instrument （Video-VBOX） mounted on five different type of vehicles. The probability distribution of longitudinal A/D and the lateral acceleration are analysed, and their relationship with operating speed of vehicles are studied on roads with a different number of lanes for different vehicle types. A two-term exponential and linear relationship with operating speed are observed for lateral and longitudinal A/D respectively.

关键词： Non-lane discipline traffic Mixed traffic Driving behavior dynamic parameters Operating speed g-g diagram

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dynamic parameters evaluation for femtosecond streak tubes

Dynamic parameters evaluation for femtosecond streak tubes

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26th International Congress on High-Speed Photography and Photonics

作者： Degtyareva, VP Bryukhnevich, GI Lozovoi, VI Schelev, MY Semichastnova, ZM Vorobiev, NS Russian Acad Sci AM Prokhorov Gen Phys Inst Dept Photoelect Moscow 119991 Russia

ISBN: (纸本)081945530X

Presented are the experimental results on femtosecond streak tubes measurements in dynamic mode. Several streak tube prototypes have been manufactured, with either distributed coaxial-strip line or capacitor-type photocathode-accelerating mesh assembly. Electrical field transition time in the photocathode-accelerating mesh gap was investigated. Tubes have been tested in a variety of regimes, in order to define the most efficient ones. dynamic parameters of the developed femtosecond streak tubes were measured inside the streak camera prototype. The following dynamic parameters were evaluated: ultimate time resolution, dynamic range, and signal/noise ratio, spectral range, input sensitivity, streak speed and its nonlinearities, etc. The developed and optimized femtosecond streak tubes represent a reliable basis for design of streak cameras being required for photographic recording of ultrafast events in laser and plasma physics, time-resolved spectroscopy, laser interaction with matter, laser fusion, etc.

关键词： femtosecond streak tubes dynamic parameters laser and plasma physics

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dynamic parameters identification for a longitudinal model of an AUV exploiting experimental data

Dynamic parameters identification for a longitudinal model o...

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Global OCEANS Singapore - U.S. Gulf Coast Conference

作者： Bresciani, Matteo Costanzi, Riccardo Manzari, Vincenzo Peralta, Giovanni Terracciano, Daniele S. Caiti, Andrea Univ Pisa Dipartimento Ingn Informaz Pisa Italy Univ Pisa Ctr Ric E Piaggio Pisa Italy ISME Pisa Italy Naval Support & Expt Ctr Italian Navy La Spezia Italy

ISBN: (纸本)9781728154466

This work addresses the problem of determining a low cost method to identify the dynamic parameters of the surge motion model for an Autonomous Underwater Vehicle (AUV) utilising experimental data. With this goal, various sea tests were planned and carried out, involving minimal equipment. In particular, an acoustic tracking system composed of passive Direction of Arrival (DoA) sensors was used to track the vehicle while moving underwater. Such dataset was exploited to identify the values of the dynamic parameters with a best fit approach. Eventually, the comparison between the signals computed through the identified model and the experimental data has been reported as a preliminary evaluation.

关键词： dynamic parameters Identification Kalman filter Autonomous Underwater Vehicles Bearing-only tracking Acoustic Modems USBL

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Quantized Fuzzy Output Feedback H∞ Control for Nonlinear Systems With Adjustment of dynamic parameters

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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2019年第10期49卷 2005-2015页

作者： Chang, Xiao-Heng Yang, Can Xiong, Jun Wuhan Univ Sci & Technol Sch Informat Sci & Engn Wuhan 430081 Hubei Peoples R China Wuhan Univ Sci & Technol Minist Educ Engn Res Ctr Met Automat & Measurement Technol Wuhan 430081 Hubei Peoples R China

This paper investigates the output feedback H-infinity control problem for a class of continuous-time nonlinear systems with both output and input quantization. The nonlinear plant is represented by a Takagi-Sugeno fuzzy model. The measurement output and the control input signals will be quantized by dynamic quantizers. The attention of this paper is focused on the design of the output feedback controller and quantizers such that the fuzzy closed-loop system is asymptotically stable and also achieves a prescribed H-infinity noise attenuation level with respect to the effect of quantization. In the presence of quantization, two novel H-infinity performance analysis criteria are presented for the considered fuzzy systems based on the descriptor representation approach. Then, sufficient conditions for the existence of the feedback H-infinity controller gain and the quantizers' dynamic parameters are expressed in terms of linear matrix inequalities. An adjusting scheme on quantizers' parameters is proposed for the fuzzy system. Simulation examples are provided to show the effectiveness of the proposed design method.

关键词： dynamic parameters nonlinear systems output feedback quantization Takagi-Sugeno (T-S) fuzzy systems

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A systematic procedure for the identification of dynamic parameters of robot manipulators

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ROBOTICA 1999年第4期17卷 427-435页

作者： Antonelli, G Caccavale, F Chiacchio, P Univ Naples Federico II Dipartimento Informat & Sistemist I-80125 Naples Italy

In this paper a complete and systematic procedure for the identification of the dynamic parameters of rigid robot manipulators is presented. Starting from the basic results on the subject present in the literature and on a new technique to find exciting trajectories for the estimation, the procedure is developed. A set of algorithms is provided for the implementation of the various steps of the procedure for a generic open-chain structure. The algorithms have been coded in the popular Matlab/Maple environment and the procedure has been tested in a practical case study to identify the dynamic parameters of a six-degree-of-freedom conventional industrial robot.

关键词： dynamic parameters rigid robots open-chain structure identification algorithms

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