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  • Open Access

    PROCEEDINGS

    Koopman-Operator-Based Optimal Predictive Control for Libration Point Orbit Rendezvous

    Zhiguang Zhang, Caisheng Wei, Guanhua Huang, Zeyang Yin*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.010967

    Abstract An optimal predictive control method for spacecraft rendezvous based on Koopman operator is proposed for the the libration point rendezvous problem of Earth-moon system. Firstly, the relative motion dynamics model between the chaser and the target spacecraft in the Earth-moon system is established. Secondly, considering the influence of nonlinearity on spacecraft rendezvous control, a global linearization method of nonlinear rendezvous system driven by Koopman operator is proposed. In this method, the Koopman linearization operator is approximated by the extended dynamic mode decomposition (EDMD) method on the finite dimension. Subsequently, based on the linearization model of… More >

  • Open Access

    PROCEEDINGS

    Research on the Stress Field Measurement Method Based on Terahertz Time-Domain Spectroscopy

    Kai Kang1,*, Zhiyong Wang2,3

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.012678

    Abstract Terahertz time-domain spectroscopy (THz-TDS) can be utilized to probe internal parameters of dielectric materials, such as the refractive index. Based on the stress-optic law, stress-induced variations in the refractive index enable the calculation of applied stress through measured changes in the refractive index. This paper introduces a THz-TDS-based methodology for stress field measurement. First, a THz-TDS stress field scanning and imaging system was developed, incorporating an amplitude-field imaging method that maps stress distributions using variations in the amplitude of THz pulses. Second, two analytical algorithms were established: a planar stress analysis algorithm based on THz… More >

  • Open Access

    PROCEEDINGS

    AI-Assisted Generative Inverse Design of Heterogeneous Meta-Biomaterials Based on TPMS for Biomimetic Tissue Engineering

    Xiaolong Zhu, Feng Chen, Yuntian Chen, Wei Zhu, Xiaoxiao Han*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.012584

    Abstract Human tissues and organs exhibit not only intricate anatomical architectures but also spatially heterogeneous distributions of elastic modulus—for example, between cancellous and cortical bone, across the epidermis, dermis, and subcutaneous layers, and between healthy and fibrotic liver tissues. Conventional biomaterials often fail to replicate such mechanical heterogeneity, thereby limiting their capacity to recreate biomimetic physiological microenvironments essential for applications like tissue regeneration and disease modeling. Meta-biomaterials, artificially engineered through the rational structural design of continuous materials, have emerged as a promising class of materials owing to their highly tunable mechanical and biological properties. These attributes… More >

  • Open Access

    PROCEEDINGS

    Uncovering the Mechanisms by Which Hot Isostatic Pressing Improves the Mechanical Properties of LPBF Ti-6Al-4V

    ZiQi Zhao, MingYang Xu, ChaoYang Sun, PeiPei Li*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.012382

    Abstract Hot isostatic pressing (HIP) is often utilized to obtain laser powder bed fused (LPBF) Ti-6Al-4V with good mechanical properties. To uncover the underlying mechanisms by which HIP improves the mechanical properties, several mechanisms are considered and examined against experimental data sets available in the literature. The results suggest that HIP improves mechanical properties by both reducing defect sizes below a critical threshold and altering the microstructure surrounding defects. Based on these findings, a pore healing model was developed, and optimized HIP processing parameter range (temperature, pressure, and soaking time) were proposed. Severe plastic deformation driven… More >

  • Open Access

    PROCEEDINGS

    3D Printing of Complex Micro-Macrostructure Composites with Enhanced Mechanical Properties

    Lizhi Guan1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.012356

    Abstract Complex hierarchical structure in nature with remarkable performances of such as lightweight, high stiffness and strength, and so on, has inspired researchers designing and fabricating aligned structures for reinforced composites. Conventional techniques like freeze-casting, self-assembly, wet-spinning, shear force, electric, and magnetic field have been demonstrated to achieve excellent reinforced structures. Still, they are limited to microstructure control and small-sized samples. While 3D printing techniques enable to achieve a large diversity of dimensions, multimaterial and multifunctional 3D structures. Particularly, recent 3D printing combined with external force e.g., shear force, magnetic and electrical field has been employed… More >

  • Open Access

    PROCEEDINGS

    SEM-FEM Co-Simulation via Substructure Coordination for Train-Track-Tunnel-Soil System Dynamics

    Liu Pan, Lei Xu*, Bin Yan

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.012221

    Abstract To address the issue of computational inefficiency arising from the large dimensionality of dynamic matrices in the train-track-tunnel-soil (TTTS) dynamic model, this study integrates the spectral element method (SEM) and finite element method (FEM) to develop a highly efficient dynamic model for the TTTS system. The model leverages the distinct vibration characteristics of the near- and far- field regions of TTTS system, employing different modelling approaches: the FEM, known for its superior shape adaptability and precise high-frequency dynamic response computation, is applied to the tunnel and near-field soil; the SEM, recognized for its rapid convergence… More >

  • Open Access

    PROCEEDINGS

    Intelligent Structural Strength Monitoring Method Using Dynamic Evolving Digital Twin Model

    Chenjun Ni, Kuo Tian*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.012069

    Abstract The development of large-scale, high-precision aerospace structures has imposed increasingly stringent requirements on mechanical response monitoring during ground testing. Aiming at the long-standing limitations of mechanical response monitoring for ground tests in terms of accuracy and real-time performance, this study introduces an intelligent structural strength monitoring method using a dynamically evolving digital twin model.
    First, a reduced-order modeling method that accounts for actual test deviations is established. By jointly sampling deviation and loading information as variables, a reduced-order model with full-field mechanical responses as output is constructed, enabling rapid updates to reflect the real test conditions.… More >

  • Open Access

    PROCEEDINGS

    Shape-Memory Elastomers for Soft Actuators: Challenges and Opportunities

    Jin Wang*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.011894

    Abstract Shape-memory elastomers (SMEs) have emerged as promising smart-materials platforms for soft actuators and intelligent structures due to their programmable thermally-induced reversible shape transformations. However, four critical scientific and technological challenges impede their practical engineering implementation. First, the thermodynamic and molecular mechanisms governing their thermomechanical behavior remain incompletely elucidated. Second, achieving large reversible deformations requires retention of molecular orientation during thermal actuation cycles- a persistent challenge given their large strain recovery at the heating temperature. Third, while biological muscles achieve sub-second actuation, current SME systems exhibit response times spanning several seconds, necessitating at least one order More >

  • Open Access

    PROCEEDINGS

    A Deep-Learning Based Model with Intra- and Inter-Well Constraints for Intelligent Identification of Stratigraphic Layers

    Jinghua Yang1, Bin Gong1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-2, 2025, DOI: 10.32604/icces.2025.011889

    Abstract Geological stratification interpretation divides geological strata based on acquired well-logging data, providing comparative analysis results for strata and structures. This process serves as a fundamental framework for subsequent drilling and development design plans, making it a crucial step in oil exploration and development process. Traditional geological stratification interpretation methods are based primarily on geological, logging, and experimental data, with manual determination of strata boundaries to obtain interpretation results. However, manual interpretation is characterized by strong subjectivity and reliance on experience, which may compromise the quality and consistency of the results. To eliminate the dependency on… More >

  • Open Access

    PROCEEDINGS

    Grayscale Digital Light Processing of Graded Porous Materials for Bone Regeneration

    Guanghai Fei*, Yue Zhang

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.011869

    Abstract The regeneration of large-segment bone defects remains a significant challenge in orthopedics. Synthetic bone implants offer a promising solution; however, existing implants struggle to accurately replicate the heterogeneity and graded porosity of natural bone tissue while also failing to meet patients' individualized needs. Leveraging stereolithography-based 3D printing, we developed a halftoning grayscale 3D printing strategy for the precise fabrication of bone scaffolds with complex structures and graded porosity, closely mimicking natural bone tissue. This research focuses on optimizing both the 3D printing process and the performance of graded porous biomimetic bone scaffolds. More >

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