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doi: 10.6052/1000-0992-24-030
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doi: 10.6052/1000-0992-24-032
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doi: 10.6052/1000-0992-24-040
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doi: 10.6052/1000-0992-24-028
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doi: 10.6052/1000-0992-24-039
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doi: 10.6052/1000-0992-24-016
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2025, 55(1): 1-29.
doi: 10.6052/1000-0992-24-044
Abstract:
On-orbit assembly of ultra-large space structures serves as the technological foundation for future space missions including high-capacity space-based communications, high-precision space-based observations and space-based solar power stations. It holds significant scientific and engineering values. Addressing the demands for assembling ultra-large structures like 100-m parabolic antennas on orbit, this review article surveys the research progress and challenges in the dynamics and control of ultra-large space structures assembled on orbit. The article focuses on five key aspects, including the overall assembly design and its dynamic problems, the dynamic modeling and computation of flexible multibody systems, the motion planning and control of robots, the dynamic verification and adjustment of assembly outcomes, and the ground simulation experiments. It highlights the necessity of solving critical issues such as the multi-scaled spatiotemporal coupling dynamics of flexible components undergoing large overall motions, the efficient motion planning and accurate control method of robots, and the thermal-mechanically coupled error verification and adjustment strategies. As such, the necessity requires a comprehensive research framework integrating theoretical analysis, numerical simulation, and ground experimental validation to realize the ultra-large space structures in a scale from 100 to 1000 m. Finally, the article outlines research priorities for the next decade, including the efficient dynamics modeling, the motion planning and control of robots in complex environments, the dynamic prediction and adjustment of multi-module closed-loop assembly, and the earth-space consistent experiment validation systems, providing systematic suggestions for promoting the on-orbit assembly technology of ultra-large space structures.
On-orbit assembly of ultra-large space structures serves as the technological foundation for future space missions including high-capacity space-based communications, high-precision space-based observations and space-based solar power stations. It holds significant scientific and engineering values. Addressing the demands for assembling ultra-large structures like 100-m parabolic antennas on orbit, this review article surveys the research progress and challenges in the dynamics and control of ultra-large space structures assembled on orbit. The article focuses on five key aspects, including the overall assembly design and its dynamic problems, the dynamic modeling and computation of flexible multibody systems, the motion planning and control of robots, the dynamic verification and adjustment of assembly outcomes, and the ground simulation experiments. It highlights the necessity of solving critical issues such as the multi-scaled spatiotemporal coupling dynamics of flexible components undergoing large overall motions, the efficient motion planning and accurate control method of robots, and the thermal-mechanically coupled error verification and adjustment strategies. As such, the necessity requires a comprehensive research framework integrating theoretical analysis, numerical simulation, and ground experimental validation to realize the ultra-large space structures in a scale from 100 to 1000 m. Finally, the article outlines research priorities for the next decade, including the efficient dynamics modeling, the motion planning and control of robots in complex environments, the dynamic prediction and adjustment of multi-module closed-loop assembly, and the earth-space consistent experiment validation systems, providing systematic suggestions for promoting the on-orbit assembly technology of ultra-large space structures.
2025, 55(1): 30-79.
doi: 10.6052/1000-0992-24-025
Abstract:
Fatigue life models are fundamental when assessing the integrity and reliability of engineering components made of metallic materials. Hence, a plethora of domain knowledge-driven models have been developed over the past centuries, pursuing the consistency with fatigue failure mechanisms and the rationality of mathematical expressions. They generally demonstrate physical significance and can describe the complex processes of fatigue damage evolution explicitly and comprehensively. However, with the increasing demand for the operational safety of critical components and high-performance structural materials emerging constantly, they are facing limitations in the aspects of predictive capability, application scope, and engineering practicality. As an alternative, data-driven models, under the impetus of Artificial Intelligence tide, have attained growing attention and found increasing applications in life-prediction issues under various loading patterns. Data-driven models feature their powerful ability to derive optimal explicit/implicit relationships between fatigue life with numerous influential factors, without suffering from human errors. Moreover, they can quickly discover the physical laws governing fatigue failure which are difficult to be clarified by domain knowledge-driven models. Nowadays, data-driven models are recognized as opening a new pathway for fatigue damage analysis and life prediction, being a hot spot in fatigue research. This paper reviews the progress of research in developing data-driven models for predicting the fatigue life of metallic materials. Different types of data-driven models, including pure data-driven models and knowledge informed data-driven models, are summarized, along with their distinct construction methodologies and application advantages. The future prospects and challenges in this field are also discussed.
Fatigue life models are fundamental when assessing the integrity and reliability of engineering components made of metallic materials. Hence, a plethora of domain knowledge-driven models have been developed over the past centuries, pursuing the consistency with fatigue failure mechanisms and the rationality of mathematical expressions. They generally demonstrate physical significance and can describe the complex processes of fatigue damage evolution explicitly and comprehensively. However, with the increasing demand for the operational safety of critical components and high-performance structural materials emerging constantly, they are facing limitations in the aspects of predictive capability, application scope, and engineering practicality. As an alternative, data-driven models, under the impetus of Artificial Intelligence tide, have attained growing attention and found increasing applications in life-prediction issues under various loading patterns. Data-driven models feature their powerful ability to derive optimal explicit/implicit relationships between fatigue life with numerous influential factors, without suffering from human errors. Moreover, they can quickly discover the physical laws governing fatigue failure which are difficult to be clarified by domain knowledge-driven models. Nowadays, data-driven models are recognized as opening a new pathway for fatigue damage analysis and life prediction, being a hot spot in fatigue research. This paper reviews the progress of research in developing data-driven models for predicting the fatigue life of metallic materials. Different types of data-driven models, including pure data-driven models and knowledge informed data-driven models, are summarized, along with their distinct construction methodologies and application advantages. The future prospects and challenges in this field are also discussed.
2025, 55(1): 80-112.
doi: 10.6052/1000-0992-24-033
Abstract:
This paper reviews the research progress on symmetry and conservation laws in mechanical analysis. It begins by introducing Lie group symmetries in continuous systems, including the symmetries of differential equations, partial differential equations, functionals, and approximate Lie symmetries of perturbed differential equations, with practical applications demonstrated through examples. The paper then explores symmetries and conservation laws in discrete systems, focusing on the dynamics equations, Noether symmetries, Lie symmetries, and Mei symmetries, with explanations supported by specific application examples. Finally, it reviews symmetries and conservation laws in stochastic systems, discussing the symmetries of Ito and Stratonovich stochastic differential equations, particularly in the statistical sense. The aim of this paper is to provide theoretical references for subsequent research and to advance the development of related fields.
This paper reviews the research progress on symmetry and conservation laws in mechanical analysis. It begins by introducing Lie group symmetries in continuous systems, including the symmetries of differential equations, partial differential equations, functionals, and approximate Lie symmetries of perturbed differential equations, with practical applications demonstrated through examples. The paper then explores symmetries and conservation laws in discrete systems, focusing on the dynamics equations, Noether symmetries, Lie symmetries, and Mei symmetries, with explanations supported by specific application examples. Finally, it reviews symmetries and conservation laws in stochastic systems, discussing the symmetries of Ito and Stratonovich stochastic differential equations, particularly in the statistical sense. The aim of this paper is to provide theoretical references for subsequent research and to advance the development of related fields.
2025, 55(1): 113-174.
doi: 10.6052/1000-0992-24-027
Abstract:
Slender pipes conveying fluid are an important structure in various engineering equipment systems such as engine hydraulic device, aviation tanker, nuclear heat exchanger and offshore drilling platform. When the flow velocity is sufficiently high, the slender pipe may be subjected to flow-induced instability including buckling and flutter, which may lead to safety accidents in serious cases. Flow-induced instability and nonlinear vibration of pipes conveying fluid are typical fluid-structure interaction behaviors, and have become a generic paradigm and fertile dynamics problem in nonlinear dynamics and fluid-structure interaction mechanics. After establishing governing equation, clarifying the stability mechanism and analyzing the nonlinear vibration mechanism of pipes conveying fluid, much attention has been payed to the large-deformation dynamics of this dynamical system in recent years. In this review, the research progress of nonlinear vibrations, especially the large-deformation bending dynamics of slender pipes are systematically introduced. Firstly, the nonlinear characteristics and classification of the fluid-conveying pipe system are summarized, and the applicability of some common assumptions is briefly analyzed. Secondly, the Taylor expansion approximation model, geometrically exact model, absolute node coordinate formulation model, data-driven model and other related modeling and solving methods are reviewed. Then, the nonlinear dynamics mechanism and evolution law of cantilevered and supported pipes are reviewed, and some recent research progress of cantilevered pipes from small-deformation hypothesis to large-deformation response is emphasized. On this basis, several typical methods of improving the stability of the pipe, suppressing the nonlinear vibrations of the pipe and utilizing the large-deformation response of the pipe are also introduced. Finally, the research status of large-deformation dynamics of slender pipe conveying fluid is summarized, and several basic scientific problems worthy of attention are pointed out.
Slender pipes conveying fluid are an important structure in various engineering equipment systems such as engine hydraulic device, aviation tanker, nuclear heat exchanger and offshore drilling platform. When the flow velocity is sufficiently high, the slender pipe may be subjected to flow-induced instability including buckling and flutter, which may lead to safety accidents in serious cases. Flow-induced instability and nonlinear vibration of pipes conveying fluid are typical fluid-structure interaction behaviors, and have become a generic paradigm and fertile dynamics problem in nonlinear dynamics and fluid-structure interaction mechanics. After establishing governing equation, clarifying the stability mechanism and analyzing the nonlinear vibration mechanism of pipes conveying fluid, much attention has been payed to the large-deformation dynamics of this dynamical system in recent years. In this review, the research progress of nonlinear vibrations, especially the large-deformation bending dynamics of slender pipes are systematically introduced. Firstly, the nonlinear characteristics and classification of the fluid-conveying pipe system are summarized, and the applicability of some common assumptions is briefly analyzed. Secondly, the Taylor expansion approximation model, geometrically exact model, absolute node coordinate formulation model, data-driven model and other related modeling and solving methods are reviewed. Then, the nonlinear dynamics mechanism and evolution law of cantilevered and supported pipes are reviewed, and some recent research progress of cantilevered pipes from small-deformation hypothesis to large-deformation response is emphasized. On this basis, several typical methods of improving the stability of the pipe, suppressing the nonlinear vibrations of the pipe and utilizing the large-deformation response of the pipe are also introduced. Finally, the research status of large-deformation dynamics of slender pipe conveying fluid is summarized, and several basic scientific problems worthy of attention are pointed out.
2025, 55(1): 175-217.
doi: 10.6052/1000-0992-24-024
Abstract:
Ventilated supercavity drag reduction is a key technology to break through the traditional underwater speed limit and achieve high-speed operation of underwater vehicles, which has important engineering application value. The navigation stability of underwater vehicles is a bottleneck problem that restricts the development of supercavitating vehicles, which is closely related to the stability of ventilated supercavity. Therefore, accurate prediction and control of supercavity shape are one of the key factors in the overall design of supercavitating vehicles. This paper first introduces the research progress on the flow morphology characteristics of ventilated supercavities under different flow conditions, and further sorts out the key scientific issues that affect the flow morphology, including the characteristics and stability mechanism of the cavity interface, the closure mechanism of the supercavity, and the interaction between the jet and the supercavity. Finally, based on the understanding and recognition of the morphology of ventilated supercavities, a method for achieving flow control of ventilated supercavities is introduced.
Ventilated supercavity drag reduction is a key technology to break through the traditional underwater speed limit and achieve high-speed operation of underwater vehicles, which has important engineering application value. The navigation stability of underwater vehicles is a bottleneck problem that restricts the development of supercavitating vehicles, which is closely related to the stability of ventilated supercavity. Therefore, accurate prediction and control of supercavity shape are one of the key factors in the overall design of supercavitating vehicles. This paper first introduces the research progress on the flow morphology characteristics of ventilated supercavities under different flow conditions, and further sorts out the key scientific issues that affect the flow morphology, including the characteristics and stability mechanism of the cavity interface, the closure mechanism of the supercavity, and the interaction between the jet and the supercavity. Finally, based on the understanding and recognition of the morphology of ventilated supercavities, a method for achieving flow control of ventilated supercavities is introduced.
2025, 55(1): 218-227.
doi: 10.6052/1000-0992-25-004
Abstract:
This paper summarizes and analyzes statistically the applications, peer reviews and funding of the discipline of mechanics of National Natural Science Foundation of China in 2024, and also reports the progress reforms and problems during the project review. The objective is to draw wide attentions from scientists in the communities of mechanics, and work together to advance the funding progress in the discipline of mechanics of NSFC.
This paper summarizes and analyzes statistically the applications, peer reviews and funding of the discipline of mechanics of National Natural Science Foundation of China in 2024, and also reports the progress reforms and problems during the project review. The objective is to draw wide attentions from scientists in the communities of mechanics, and work together to advance the funding progress in the discipline of mechanics of NSFC.
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