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Groundwater flow through fractured rocks and seepage control in geotechnical engineering: Theories and practices

Journal of Rock Mechanics and Geotechnical Engineering 2023年第1期15卷 1-36页

作者： Chuang-Bing Zhou Yi-Feng Chen Ran Hu Zhibing Yang State Key Laboratory of Water Resources and Hydropower Engineering Science Wuhan UniversityWuhan430072China Key Laboratory of Rock Mechanics in Hydraulic Structural Engineering of the Ministry of Education Wuhan430072China School of Infrastructure Engineering Nanchang UniversityNanchang330031China

Groundwater flow through fractured rocks has been recognized as an important issue in many geotechnical engineering *** key aspects of fundamental mechanisms,numerical modeling and engineering applications of flow in fractured rocks are ***,the microscopic mechanisms of fluid flow in fractured rocks,especially under the complex conditions of non-Darcian flow,multiphase flow,rock dissolution,and particle transport,have been revealed through a com-bined effort of visualized experiments and theoretical ***,laboratory and field methods of characterizing hydraulic properties(*** permeability,inertial permeability,and unsaturated flow parameters)of fractured rocks in different flow regimes have been ***,high-performance numerical simulation approaches for large-scale modeling of groundwater flow in frac-tured rocks and aquifers have been *** procedures for optimization design of seepage control systems in various settings have also been *** of coupled hydro-mechanical processes and control of flow-induced deformation have been ***,three case studies are presented to illustrate the applications of the improved theoretical understanding,characterization methods,modeling approaches,and seepage and deformation control strategies to geotechnical engi-neering projects.

关键词： Fractured rock Groundwater flow Flow visualization Hydraulic property Hydromechanical coupling Groundwater flow modeling Seepage control

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Biological Vibration Damping Strategies and Mechanisms

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Journal of Bionic Engineering 2023年第4期20卷 1417-1433页

作者： He Zhang Jianhao Li Ze Wang Shichao Niu Junqiu Zhang Zhiwu Han Zhengzhi Mu Bo Li Luquan Ren Key Laboratory of Bionic Engineering Ministry of EducationJilin UniversityChangchun130022China School of Mechanical and Aerospace Engineering Jilin UniversityChangchun130022China

Excessive vibration in civil and mechanical systems can lead to structural damage or harmful *** vibration can be mitigated by reducing the energy of the vibration source or by isolating the external disturbance from the target *** on the tunability and power consumption of the system,existing vibration control strategies are divided into active,passive and semi-active types,providing a more stable and efficient solution for vibration ***,conventional damping structures have difficulty in meeting the requirements of wide frequency range and high precision damping under complex operating ***,the design of efficient damping structures is one of the key challenges in the development of vibration control *** have evolved over millions of years to effectively damp vibrations through special structures and composite materials to ensure their *** up damping vibration isolation technology from a bionic perspective can meet the frequency requirements of vibration damping and guarantee higher output accuracy of *** review summarizes the basic principles of vibration control and analyses the vibration control strategies for different damping materials and damping ***,various models of bio-damped structures are ***,the current status and recent progress of research on bionic damped structures based on bio-vibration control strategies are ***,new perspectives on future developments in the field of bionic damped vibration control techniques are also presented.A comprehensive understanding of existing vibration damping mechanisms and new methods of bionic damping design will certainly trigger important applications of precision vibration control in the fields of aerospace,rail transportation and mechanical systems.

关键词： Organic texture Vibration control Structural design optimization Bionic damping

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A new discrepancy for sample generation in stochastic response analyses of aerospace problems with uncertain parameters

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Chinese Journal of Aeronautics 2024年第12期37卷 192-211页

作者： Feng WU Yuelin ZHAO Yuxiang YANG Xiaopeng ZHANG Ning ZHOU State Key Laboratory of Structural Analysis Optimization and CAE Software for Industrial EquipmentSchool of Mechanics and Aerospace EngineeringDalian University of TechnologyDalian 116024China

Good distribution of samples and weights can improve the computational accuracy and efficiency in the stochastic response analyses of aerospace problems with uncertain *** work proposes a new Generalized L2 Discrepancy based on a General Point(GL2D-GP)for generating samples and their corresponding *** proposed GL2D-GP is an extension of the existing discrepancy by introducing the non-same weights and a smaller box to measure probability *** the GL2D-GP can yield a weight optimization formula that generates a set of optimal non-identical weights for a given sample *** minimizing the GL2D-GP assigned to the set of optimal non-same weights,a new sample and weight generation method is *** the proposed method,the samples can be easily generated in terms of the generalized Halton formula with a series of optimal permutation vectors which are found by the intelligent evolutionary *** the sample set is obtained,the optimal weights can be generated in terms of the weight optimization *** numerical examples are presented to verify the high accuracy,efficiency,and strong robustness of the proposed sample generation method based on GL2D-GP.

关键词： Stochastic systems Aerospace engineering Monte Carlo methods Sample generation Generalized discrepancy Non-same weights

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Ship Weather Routing Based on hybrid Genetic Algorithm Under Complicated Sea Conditions

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Journal of Ocean University of China 2023年第1期22卷 28-42页

作者： ZHOU Peng ZHOU Zheng WANG Yan WANG Hongbo State Key Laboratory on Integrated Optoelectronics College of Electronic Science and EngineeringJilin UniversityJilin 130012China

Considering the effects of increased economic globalization and global warming,developing methods for reducing shipping costs and greenhouse gas emissions in ocean transportation has become *** to its key role in modern navigation technology,ship weather routing is the research focus of several scholars in this *** study presents a hybrid genetic algorithm for the design of an optimal ship route for safe transoceanic navigation under complicated sea *** the basis of the basic genetic algorithm,simulated annealing algorithm is introduced to enhance its local search ability and avoid premature convergence,with the ship’s voyage time and fuel consumption as optimization ***,a mathematical model of ship weather routing is developed based on the grid system.A measure of fitness calibration is proposed,which can change the selection pressure of the algorithm as the population *** addition,a hybrid crossover operator is proposed to enhance the ability to find the optimal solution and accelerate the convergence speed of the ***,a multi-population technique is applied to improve the robustness of the algorithm using different evolutionary strategies.

关键词： genetic algorithm simulated annealing algorithm weather routing ship speed loss

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Multi-objective Design of Blending Fuel by Intelligent optimization Algorithms

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Transactions of Tianjin University 2024年第3期30卷 221-237页

作者： Ruichen Liu Cong Li Li Wang Xiangwen Zhang Guozhu Li Key Laboratory for Green Chemical Technology of Ministry of Education School of Chemical Engineering and TechnologyTianjin UniversityTianjin 300072China Collaborative Innovation Center of Chemical Science and Engineering(Tianjin) Tianjin 300072China Haihe Laboratory of Sustainable Chemical Transformations Tianjin 300192China

Fuel design is a complex multi-objective optimization problem in which facile and robust methods are urgently ***,a complete workflow for designing a fuel blending scheme is presented,which is theoretically supported,efficient,and *** on the data distribution of the composition and properties of the blending fuels,a model of polynomial regression with appropriate hypothesis space was *** parameters of the model were further optimized by different intelligence algorithms to achieve high-precision ***,the design of a blending fuel was described as a multi-objective optimization problem,which was solved using a Nelder–Mead algorithm based on the concept of Pareto ***,the design of a target fuel was fully validated by *** study provides new avenues for designing various blending fuels to meet the needs of next-generation engines.

关键词： Multi-objective optimization Machine learning Blending fuel

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Motion Control and Dynamics of the hybrid AUV in Underwater Noise Monitoring Mode

Motion Control and Dynamics of the Hybrid AUV in Underwater ...

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2023 International Conference on Ocean Studies, ICOS 2023

作者： Kiselev, Lev Kostenko, Vladimir Bykanova, Anna Medvedev, Andrey Institute of Marine Technology Problems of the Far-Eastern Branch of the Russian Academy of Sciences Laboratory 41 Vladivostok Russia Institute of Marine Technology Problems of the Far-Eastern Branch of the Russian Academy of Sciences Laboratory 43 Vladivostok Russia

ISBN: (纸本)9798350382457

The problems of controlling the movement of a hybrid autonomous unmanned underwater vehicle (HAUV) during operational monitoring of the noise field in the sea are considered. To organize the movement of the HAUV, which consists of several stages, a control complex is used that ensures the fulfillment of the specified requirements for the dynamics of the vehicle and for the conditions for effective measurements of noise field parameters using a scalar-vector receiving system. The structure and mathematical models of the propulsion-steering complex, buoyancy and moment of stability control systems are studied. optimization of the operation of the HAUV in the acoustic station mode was carried out by model and experimental adjustment of the parameters of these systems, taking into account the specific features of their design. When analyzing its structure and dynamic properties, the MMT-300-M AUV was adopted as a prototype of the HAUV. The results of a computational experiment on the hydrodynamics of the vehicle based on the virtual purging of its three-dimensional model are presented, as well as the results of modeling the dynamics of the vehicle when operating in the acoustic station mode. © 2023 IEEE.

关键词： Control systems

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MSC-APFNN: Fault Diagnosis Deep Transfer Network for Rotating Machine based on Multi-scale Convolutional Extraction and Adaptive Pruning Fuzzy Inference System

MSC-APFNN: Fault Diagnosis Deep Transfer Network for Rotatin...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Zhou, Yanrun Lei, Zihao Wen, Guangrui Su, Yu Zhang, Zhifen National Key Lab of Aerospace Power System and Plasma Technology Xi’an Jiaotong University Xi’an710049 China State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong University Xi’an710049 China Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi’an710049 China

ISBN: (纸本)9789819639687

Intelligent fault diagnosis on mechanical transmission system of the train is of great importance to ensure the efficient operation of high-speed trains. However, due to the complex and changeable operation conditions (OCs), it is difficult to ensure the uniformity of the data distribution obtained by real-time acquisition, which sets a higher standard for the design of intelligent algorithms. Empowered by deep transfer learning (DTL) methods, the fuzzy inference system provides an effective solution to the abovementioned problem. In this paper, an Adaptive Pruning Fuzzy Inference System (APFIS) is proposed predicated on the fuzzy theory and the basic structure of fuzzy neural network, along with the hybrid model MSC-APFNN constructed by combining the multi-scale convolutional network with the proposed APFIS. This model can be employed as a backbone for the application to transfer diagnostic detection of rotating systems based on adversarial networks. Experimental results demonstrate that the proposed model achieves excellent diagnostic results under variable operating conditions, which provide a novel insight into the optimization of the traditional convolutional and fully-connected deep network structure and offer a promising avenue for the research of fuzzy decision-making in the context of fault diagnostics for high-speed trains. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Fuzzy neural networks

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Recent progress on equation-oriented optimization of complex chemical processes

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Chinese Journal of Chemical Engineering 2022年第1期35卷 162-169页

作者： Yuyang Kang Yiqing Luo Xigang Yuan Chemical Engineering Research Center School of Chemical Engineering and TechnologyTianjin UniversityTianjin 300350China State Key Laboratory of Chemical Engineering Tianjin UniversityTianjin 300350China

Process optimization in equation-oriented(EO)modeling environments favors the gradient-based optimization algorithms by their abilities to provide accurate Jacobian matrices via automatic or symbolic ***,computational inefficiencies including that in initial-point-finding for Newton type methods have significantly limited its ***,progress has been made in using a pseudo-transient(PT)modeling method to address these difficulties,providing a fresh way forward in EO-based ***,research in this area remains open,and challenges need to be ***,understanding the state-of-the-art research on the PT method,its principle,and the strategies in composing effective methodologies using the PT modeling method is necessary for further developing EO-based methods for process *** this purpose,the basic concepts for the PT modeling and the optimization framework based on the PT model are reviewed in this *** typical applications,e.g.,complex distillation processes,cryogenic processes,and optimizations under uncertainty,are presented as ***,we identify several main challenges and give prospects for the development of the PT based optimization methods.

关键词： Simulation optimization Algorithm Pseudo-transient modeling method Equation-oriented optimization complex chemical processes

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Intelligent optimization methods of phase-modulation waveform

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Journal of systems Engineering and Electronics 2022年第4期33卷 916-923页

作者： SUN Jianwei WANG Chao SHI Qingzhan REN Wenbo YAO Zekun YUAN Naichang College of Electronic Science and Technology National University of Defense TechnologyChangsha 410073China State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense TechnologyChangsha 410073China

With the continuous improvement of radar intelligence, it is difficult for traditional countermeasures to achieve ideal results. In order to deal with complex, changeable, and unknown threat signals in the complex electromagnetic environment, a waveform intelligent optimization model based on intelligent optimization algorithm is proposed. By virtue of the universality and fast running speed of the intelligent optimization algorithm, the model can optimize the parameters used to synthesize the countermeasure waveform according to different external signals, so as to improve the countermeasure *** algorithm(GA) and particle swarm optimization(PSO)are used to simulate the intelligent optimization of interruptedsampling and phase-modulation repeater waveform. The experimental results under different radar signal conditions show that the scheme is feasible. The performance comparison between the algorithms and some problems in the experimental results also provide a certain reference for the follow-up work.

关键词： waveform optimization intelligent optimization phase-modulation genetic algorithm(GA) particle swarm optimization(PSO)

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Online Simultaneous Modeling and Gain Profile optimization for Multi-pump Raman Amplifiers in C+L-band Optical systems 49

Online Simultaneous Modeling and Gain Profile Optimization f...

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49th European Conference on Optical Communications, ECOC 2023

作者： Liu, Xiaomin Zhang, Yihao Liu, Yichen Cai, Meng Yi, Lilin Hu, Weisheng Zhuge, Qunbi State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai China Peng Cheng Laboratory Shenzhen China

ISBN: (纸本)9781839539954

We propose an online paradigm to simultaneously model and optimize Raman gain profiles. Real-time experiments demonstrate the proposed scheme can approach the optimal modelling and optimization performance within 30 data, reducing ~90% of the data compared with the scheme based on an offline-built model. © The Institution of Engineering & Technology 2023.

关键词： Optical systems

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