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Fluid–structure interaction modes under complex unsteady vortices: A review
HAN Peng, ZHANG Junduo, LI Yiran, FAN Dixia, HUANG Weixi
 doi: 10.6052/1000-0992-25-022
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Abstract:
In complex unsteady wakes, the fluid–structure interaction (FSI) modes can differ significantly from those under uniform flows, often involving rich physical mechanisms. This paper reviews recent advances in three representative FSI phenomena: Vortex-induced vibration (VIV) of cylinders, flapping of flexible plates, and locomotion of swimming/flying organisms. These phenomena are widely observed in both nature and engineering applications and span self-excited, active, and hybrid FSI modes. First, we compare the response modes under uniform and unsteady wake inflows. Results show that incoming vortices can substantially amplify vibration amplitudes of cylinders and plates, potentially triggering new instabilities. In contrast, biological swimmers may actively exploit incoming vortices by modulating their motions to enhance propulsion efficiency. Furthermore, this paper discusses potential applications of such FSI modes in complex wake flows, including enhanced energy harvesting from flow-induced vibrations and the development of bioinspired robots with improved sensing and decision-making capabilities. Finally, the challenges and future research directions in this area are outlined to guide further exploration.
Advances in matrix engineering and matrix therapy driven by extracellular matrix mechanics
XIE Yizhou, LIU Zhaoxinru, XU Feng, WEI Zhao
 doi: 10.6052/1000-0992-25-029
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Abstract:
With the global aging population and high incidence of chronic diseases, major intractable conditions such as cardiovascular diseases, tumors, and diabetes have become primary challenges to public health and socioeconomic development worldwide. Their pathological processes are often accompanied by abnormal remodeling of the extracellular matrix (ECM) and disruption of mechanical homeostasis, rendering traditional treatments ineffective in reversing these conditions. Recent studies reveal that actively modulating the mechanical properties of the ECM through principles of materials science and engineering to precisely mediate cellular behavior can effectively activate endogenous tissue repair, significantly promoting tissue regeneration. This research strategy, termed force-materials science, involves actively designing materials to leverage force−structure−function relationships for proactive control of the mechanical environment within biological systems. Based on this concept, this paper proposes: systematically identifying the molecular composition of the ECM from a matrixomics perspective and deconstructing its mechanical information encoding; utilizing matrix biomechanics to understand cell−ECM interaction mechanisms and decipher pathological ECM “re-encoding” processes; and, grounded in deep understanding of the ECM’s mechanical microenvironment, exploring matrix engineering technologies for “de-encoding” abnormal ECM and restoring function by integrating matrix biomechanics principles, ultimately achieving the goal of matrix therapy for endogenous tissue repair. Specifically, this paper introduces the composition and dynamic coding of the ECM, systematically summarizes the physiological/pathological changes in abnormal ECM mechanical microenvironments, and emphasizes the proposal and construction of novel matrix engineering and therapeutic strategies based on molecular targeting and material reconstruction. These efforts aim to provide new theoretical foundations and innovative approaches for the intervention of major intractable diseases and the advancement of regenerative medicine.
Nanofluidics: Flow and transport at nanoscale
YAN Meng, LUAN Shuyong, SHI Deli, GU Yewen, LU Jiajia, XIE Yanbo
 doi: 10.6052/1000-0992-25-034
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Abstract:
Nanofluidics studies flow and mass transport in confined systems with characteristic dimensions ranging from about 100 nm down to the sub-nanometer scale. Nanofluidics is not simply a scaled-down version of macroscopic flow, where the predominant forces and boundary conditions are fundamentally different from the macroscopic flows, giving rise to new phenomena and enabling new applications. The development of nanotechnology enables the fabrication of nano- and even sub-nanometer structures, enabling to investigate the flow and transport in such small scales. This review summarizes the state-of-art in nanofluidics, including concepts, open questions, experiments advances, and examples of application. First, we outline the key scientific questions in nanofluidics, including boundary slip in nanochannels, coupling between flow and mass transport, two-phase flow in confinement, and the breakdown of continuum descriptions at the smallest scale. Second, we summarize key nanofabrication techniques and experimental methods used to probe flow and transport in such small confinement. Third, we describe multiscale simulation approaches used in nanofluidics—from continuum models to molecular dynamics and the ab initio simulations—and illustrate how they unvail the mechanisms of flow in nanoscale. Finally, we discuss emerging application areas in nanofluidics, such as drag reduction, energy conversion, chemical engineering, artificial intelligence, advanced manufacturing, and diagnosis. Overall, by bridging molecular-scale dynamics and macroscopic transport, nanofluidics has emerged as an important direction in fluid mechanics with broad interdisciplinary applications.
Research advances in uncertainty quantification and design optimization for flight vehicles
ZHANG Hairui, WANG Yao, HONG Dongpao
 doi: 10.6052/1000-0992-25-032
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Abstract:
Uncertainty quantification (UQ) and uncertainty-based design optimization (UBDO), as an emerging design paradigm for flight vehicles, provide a systematic methodological framework for addressing the precise characterization, propagation, and design optimization of uncertainties. This paper reviews the core concepts and key technologies in this field. It summarizes the uncertainty challenges associated with critical systems and significant environmental conditions of flight vehicles. Based on the latest research progress, five key research directions are identified: (1) High-dimensional uncertainty quantification and efficient propagation: Constructing an adaptive high-dimensional UQ framework by integrating techniques such as dimensionality reduction, compressed sensing, and low-rank tensor decomposition to effectively address the “curse of dimensionality”. (2) Hybrid uncertainty quantification and efficient propagation: A unified framework is established to accommodate various types of uncertainties—including probabilistic, interval, fuzzy, and evidence theory. The computational efficiency for complex, multi-source uncertainty problems is further enhanced by incorporating surrogate modeling and active learning strategies. (3) Multi-level and multi-fidelity UQ framework: Achieving dynamic and optimal allocation of computational resources across models of varying fidelities by integrating techniques like generalized approximate control variates and adaptive multi-index stochastic collocation. (4) Uncertainty-based design optimization algorithms and frameworks: Unifying probabilistic constraints and robustness metrics within a multi-objective optimization and decision-making framework under uncertainty, enabling trade-off optimization among performance, reliability, and robustness through single-loop and decoupled optimization strategies. (5) Uncertainty design and analysis based on artificial intelligence techniques: Centered on physics-informed neural networks, this direction incorporates physical knowledge and multi-source data to establish intelligent frameworks for uncertainty quantification and optimization.
Research progress on online monitoring technology for metal laser additive manufacturing
JIANG Ce, FENG Wei, LONG Ziyun, WANG Puxiang, ZHAO Jinzhao, ZHENG Bo, XIE Huimin, LIU Zhanwei
 doi: 10.6052/1000-0992-25-027
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Abstract:
Metal laser additive manufacturing technology exhibits the capability for precision forming of complex components in high-end fields such as the aerospace, defense, and medicine. However, its broader application in advanced engineering fields remains constrained by manufacturing defects; fluctuations in power density and cooling rate during processing can readily induce defects such as thermally induced porosity and high-stress cracking, thereby posing interdisciplinary challenges for in-situ monitoring and quality control. This paper reviews the establishment of a multi-dimensional detection technology system and systematizes the advancements in key testing methods and technologies. Specifically, mainstream sensing technologies, including optical and acoustic sensing, when integrated with advanced intelligent algorithms, facilitate dynamic identification of surface defects and extraction of internal defect characteristics. Multi-source data fusion further establishes a collaborative analysis framework linking microscopic molten pool behavior to macroscopic geometric accuracy. Additionally, emerging techniques, such as high-speed synchrotron radiation imaging, offer accurate cross-scale online observation tools for investigating the initiation and evolution mechanisms of defects. Current technologies are constrained by challenges such as multi-source noise interference and low synchronization efficiency of multi-physics field data. Future research should focus on the in-depth integration of multi-sensor detection technology with machine learning, explore online intelligent detection approaches, and develop full-process quality prediction models driven by digital twins. This study intends to provide theoretical synthesis and technical pathway analysis to address the common challenges of defect monitoring and forming accuracy control in the additive manufacturing process.
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