今日更新:Composite Structures 2 篇,Composites Part A: Applied Science and Manufacturing 4 篇,Composites Part B: Engineering 3 篇
Modeling and numerical simulation of magneto-electro-elastic sandwich structures with viscoelastic core
Ya-Fei Zhao, Ying-Shan Gao, Shuai Li
doi:10.1016/j.compstruct.2025.119579
粘弹性磁-电弹性夹层结构的建模与数值模拟
This paper develops a “magneto-electric-visco/elastic” coupled finite element (FE) model based on Zigzag hypothesis, investigating the vibration and damping characteristics of magneto-electric-elastic (MEE) sandwich structures with viscoelastic core. Three kinds of MEE sandwich plate/shell structures are considered according to the position of mid-surface, with both elastic and viscoelastic layers are assumed to be Reissner–Mindlin plates. The coordinate transformation matrices between the material and structural coordinate systems are established, enabling the calculation of arbitrary vertical fiber angles. Through the complex modulus approach, we have formulated the coupled “magneto-electric-visco/elastic” constitutive equations. The type of element employs an 8-node quadratic element with each node having 7 degrees of freedom (DOFs). Simulation results show that the natural frequency of the present model converges using only 0.44% of the three-dimensional (3-D) element model’s DOFs, with a deviation of merely 0.0025%. This study has important theoretical significance for the design and development of advanced MEE damping laminated structures.
基于“之字形”假设,建立了“磁电粘弹”耦合有限元模型,研究了具有粘弹芯的磁电弹夹层结构的振动和阻尼特性。根据中面位置考虑了三种MEE夹层板壳结构,其中弹性层和粘弹性层均假定为Reissner-Mindlin板。建立了材料坐标系与结构坐标系之间的坐标变换矩阵,实现了任意垂直纤维角的计算。通过复模量法,建立了“磁电粘弹性”耦合本构方程。单元类型采用8节点二次元,每个节点具有7个自由度(dof)。仿真结果表明,该模型的固有频率仅利用三维单元模型的0.44%的自由度收敛,偏差仅为0.0025%。该研究对先进MEE阻尼层合结构的设计与开发具有重要的理论意义。
Unraveling the puzzle of the mechanical degradation: shear behavior of nickel foam/polyurethane composites under different loading paths
Yi Su, Jiacheng Tian, Jiashuo Wang
doi:10.1016/j.compstruct.2025.119638
泡沫镍/聚氨酯复合材料在不同载荷路径下的剪切行为
Mechanical performance of foam metals degrades when loaded in multi-direction, so similar behaviour exists in foam metal/polymer. Therefore, using strength obtained from uniaxial tests as the basis for design is unsafe. Degradation of mechanical properties of nickel foam/polyurethane (NF/PU) under biaxial loading has been investigated. Monotonic and cyclic shear tests were performed under different biaxial loading paths. A fine-scale finite element model was established using X-ray CT. Shear behavior and performance under various paths were quantitatively evaluated. Microstructural evolutions of cells were ana lyzed to elucidate mechanis ms. The results indicate that damage in one-direction simultaneously affects behavior in orthogonal-direction, contributing to reduction in performance. Energy dissipation may increase with the distance of the path. Integration of PU enhances force trans mission pathways while simultaneously altering deformation mechanis ms and failure modes of the embedded NF skeleton. Edge degradation in NF skeleton is less pronounced than in standalone NF under biaxial loading at equivalent strain levels. A correlation between the load-carrying capacities of NF/PU under biaxial and uniaxial loading has been established, and a method for evaluating performance under biaxial loading has been proposed. These insights provide theoretical foundations to support the application of NF/PU in vibration control, civil engineering, and other domains.
在多方向加载时,泡沫金属的力学性能下降,因此泡沫金属/聚合物也存在类似的行为。因此,用单轴试验得到的强度作为设计依据是不安全的。研究了泡沫镍/聚氨酯(NF/PU)在双轴载荷作用下力学性能的退化。在不同的双轴加载路径下进行了单调和循环剪切试验。利用x射线CT建立了精细尺度有限元模型。定量评价了不同路径下的剪切行为和剪切性能。通过分析细胞的微观结构演变来阐明其机制。结果表明,单向损伤同时影响正交方向的性能,导致性能降低。能量耗散随路径的距离增加而增加。PU的集成增强了力传递途径,同时改变了内嵌NF骨架的变形机制和破坏模式。在等效应变水平的双轴载荷下,NF骨架的边缘退化比独立NF骨架的边缘退化不那么明显。建立了NF/PU在双轴和单轴载荷下承载能力的相关性,并提出了一种评价NF/PU在双轴载荷下承载能力的方法。这些见解为NF/PU在振动控制、土木工程等领域的应用提供了理论基础。
Load history effects in fiber–polymer composites: A CRNN-based hybrid deep learning approach for fatigue life prediction and structural health monitoring via infrared thermography
A. Vahid Movahedi-Rad, Thomas Keller
doi:10.1016/j.compositesa.2025.109263
纤维-聚合物复合材料的载荷历史效应:基于crnn的混合深度学习方法,用于疲劳寿命预测和红外热成像结构健康监测
In this work, periodically captured thermal images from infrared (IR) thermography were utilized as health indicators and integrated into a hybrid deep learning model to non-destructively predict the fatigue life of fiber–polymer composites under continuous-fatigue, interrupted-fatigue, and creep-fatigue loading patterns for structural health monitoring (SHM). The hybrid model was based on a Convolutional Recurrent Neural Network (CRNN) consisting of a ResNet50 architecture for feature extraction from thermal images, followed by dimension reduction using principal component an alysis (PCA), and finally a multi-layer recurrent neural network (MLRNN) to address the necessity of considering load history effects for accurate fatigue life prediction. The performance of the trained model was evaluated using the coefficient of determination (R2), calculated by regressing the predicted fatigue life values against the experimental ones at various input data points, corresponding to different percentages of thermal images used per experiment. It was observed that using thermal images obtained from the first 20% of each experiment, the model reached R2 score of more than 0.90 on the test dataset. Accuracy gradually increased when up to 40% of the initial fatigue life was incorporated into the model, after which it remained stable. In general, this trend was consistent across all loading patterns. To evaluate the robustness of the trained model, the MLRNN was trained and tested using different sequence lengths. Various subsampling scenarios were defined, and it was observed that the best performance was achieved with a sequence length of 5, which enabled the model to well predict the fatigue life even in a very sparse subsampling scenario. The proposed approach demonstrated the potential of combining thermal ana lysis and machine learning methods to accurately predict the fatigue life of composites in the early stages of their service life, even with limited available data.
在这项工作中,从红外(IR)热成像中周期性捕获的热图像被用作健康指标,并集成到混合深度学习模型中,以非破坏性地预测纤维-聚合物复合材料在连续疲劳、中断疲劳和蠕变疲劳载荷模式下的疲劳寿命,用于结构健康监测(SHM)。该混合模型基于卷积递归神经网络(CRNN),该网络由ResNet50架构组成,用于从热图像中提取特征,然后使用主成分分析(PCA)进行降维,最后使用多层递归神经网络(MLRNN)来解决考虑载荷历史影响的必要性,以实现准确的疲劳寿命预测。根据每次实验使用的不同百分比的热图像,通过将不同输入数据点的预测疲劳寿命值与实验疲劳寿命值进行回归计算,利用决定系数(R2)对训练模型的性能进行评估。观察到,使用每次实验前20%的热图像,该模型在测试数据集上的R2得分均大于0.90。当模型中包含高达40%的初始疲劳寿命时,精度逐渐提高,之后保持稳定。总的来说,这一趋势在所有加载模式中都是一致的。为了评估训练模型的鲁棒性,使用不同的序列长度对MLRNN进行训练和测试。定义了不同的子采样场景,当序列长度为5时,该模型的性能最好,即使在非常稀疏的子采样场景下,该模型也能很好地预测疲劳寿命。该方法展示了将热分析和机器学习方法相结合的潜力,即使在可用数据有限的情况下,也可以在复合材料使用寿命的早期阶段准确预测其疲劳寿命。
Review of boron nitride based polymer composites with ultrahigh thermal conductivity: Critical strategies and applications
Hongyu Niu, Yakun Cao, Ke Yang, Hanhai Dong, Qingli Cheng, Yanru Chen
doi:10.1016/j.compositesa.2025.109289
超高导热性氮化硼基聚合物复合材料研究进展:关键策略与应用
The rapid advancement of emerging technologies, particularly artificial intelligence and third-generation semiconductors, has driven a surge in demand for efficient thermal management in high-power-density electronic systems. Polymer-based thermally conductive composites integrate the flexibility and processability of polymers with high thermal conductivity (TC) of inorganic fillers, making them promising candidates for electronic packaging, energy storage, and communication devices. Among various fillers, hexagonal boron nitride (BN), which possesses high in-plane TC coupled with electrically insulating properties, has attracted increasing attention. However, achieving ultrahigh out-of-plane TC in BN/polymer composites remains one of the key challenges. This review systematically summarizes the research progress of the past five years in realizing ultrahigh out-of-plane TC, with a particular focus on two enhancement strategies: scalable preparation of large-sized BN nanosheets and regulation of filler morphologies and orientation structures, including comparative ana lyses of various methods. By employing high filler loadings, alignment techniques and interface engineering, the out-of-plane TC of these composites has been increased from conventional TC below 5 W m−1 K−1 to approximately 50 W m−1 K−1. In addition, potential applications and future perspectives of BN/polymer composites are also briefly outlined. This review aims to provide valuable insights for the large-scale fabrication and applications of high-performance thermally conductive BN/polymer composites.
新兴技术的快速发展,特别是人工智能和第三代半导体,推动了对高功率密度电子系统中高效热管理的需求激增。聚合物基导热复合材料将聚合物的柔韧性和可加工性与无机填料的高导热性(TC)相结合,使其成为电子封装,储能和通信设备的有希望的候选者。在各种填料中,六方氮化硼(BN)由于具有较高的面内TC和电绝缘性能而受到越来越多的关注。然而,在BN/聚合物复合材料中实现超高面外TC仍然是关键挑战之一。本文系统地总结了近五年来在实现超高面外温度转换方面的研究进展,重点介绍了两种增强策略:大尺寸BN纳米片的可扩展制备和填料形貌和取向结构的调控,并对各种方法进行了比较分析。通过采用高填料加载、取向技术和界面工程,这些复合材料的面外TC从传统的低于5 W m−1 K−1的TC增加到约50 W m−1 K−1。此外,还简要介绍了氮化硼/聚合物复合材料的应用前景。本文综述旨在为高性能导热BN/聚合物复合材料的大规模制备和应用提供有价值的见解。
Carbon fiber-based asymmetric supercapacitors with MOF-derived Cu-doped Fe2O3 and Ni-doped Co3O4 coatings
Andrés González-Banciella, J. Artigas-Arnaudas, David Martinez-Diaz, María Sánchez, Alejandro Ureña
doi:10.1016/j.compositesa.2025.109292
基于mof衍生的cu掺杂Fe2O3和ni掺杂Co3O4涂层的碳纤维非对称超级电容器
The development of multifunctional energy storage devices presents a promising strategy to reduce the mass in electric vehicles in order to increase their autonomy. In this study, an asymmetric carbon fiber-based supercapacitor based in MOF-derived TMO-coated carbon fiber electrodes is proposed. The MOF-derived materials offer high surface area, while the TMO coatings provide pseudocapacitive energy storage mechanis ms. The negative electrode incorporates Cu-doped MIL-100-derived Fe2O3, resulting in a 34 % increase in specific capacitance. For the positive electrode, Ni-doped ZIF-L-derived Co3O4 was employed. The all-solid-state supercapacitor was fabricated using a polymeric electrolyte, composed of PEGDGE and the ionic liquid EMIM BF4, infused via vacuum-assisted resin infusion molding (VARIM). The resulting device exhibited a promising electrochemical performance, displaying a maximum specific capacitance of 0.09 F/g at 0.12 mA/cm2, an energy density of 22.2 mWh/kg, and a peak power density of 548.5 mW/kg. Moreover, the mechanical characterization revealed an elastic modulus of 15.9 ± 3.7 GPa and a tensile strength of 85 ± 4 MPa. These findings demonstrate that porous MOF-derived TMO coatings on carbon fibers, in combination with the PEGDGE-EMIM BF4 electrolyte, enable the development of multifunctional supercapacitors that overcome the inherent limitations of the traditional EDLC systems, significantly enhancing the specific capacitance.
多功能储能装置的发展为降低电动汽车的质量以提高其自主性提供了一种很有前途的策略。在这项研究中,提出了一种基于mof衍生的tmo涂层碳纤维电极的非对称碳纤维超级电容器。mof衍生材料提供高表面积,而TMO涂层提供假电容储能机制。负极加入了cu掺杂mil -100衍生的Fe2O3,导致比电容增加了34% %。正极采用掺杂ni的zif - l衍生Co3O4。采用聚乙二醇(PEGDGE)和离子液体EMIM BF4组成的聚合物电解质,通过真空辅助树脂注射成型(VARIM)注入制备全固态超级电容器。该器件在0.12 mA/cm2下的最大比电容为0.09 F/g,能量密度为22.2 mWh/kg,峰值功率密度为548.5 mW/kg。此外,力学特性表明,弹性模量为15.9 ± 3.7 GPa,抗拉强度为85 ± 4 MPa。这些发现表明,碳纤维上多孔mof衍生的TMO涂层与pegge - emim BF4电解质相结合,可以开发出多功能超级电容器,克服了传统EDLC系统的固有局限性,显著提高了比电容。
From molecular assembly to multifunctional integration: Scalable fabrication of ultra-strong PPTA-based flexible films for s mart protective systems
Fengdong Teng, Ying Yuan, Na Li, Shubin Song, Junrong Yu, Yan Wang, Zuming Hu
doi:10.1016/j.compositesa.2025.109286
从分子组装到多功能集成:用于智能保护系统的超强ppta柔性薄膜的可扩展制造
The synergistic integration of mechanical robustness with multifunctionality remains a critical challenge in flexible shielding materials. Here, a molecular engineering strategy using para-aramid (PPTA) prepolymers as reactive monomers in an NMP/CaCl2 composite solvent system was introduced, through which high-molecular-weight PPTA (HMW-PPTA) solutions with an inherent viscosity of 4.1 dL·g−1 were synthesized via controlled secondary polymerization. Scalable blade-coating synergized with molecular assembly enabled rapid processing of these solutions into films exhibiting a tensile strength of 278.5 MPa, elongation at break of 14.3 %, and toughness of 23.5 MJ·m−3. Hydrogen-bond-mediated in situ polymerization of conductive polypyrrole (PPy) on PPTA substrates yielded multifunctional PPTA-PPy (PAP) composite films. Dynamic interfacial interactions and nanoparticle-enabled defect repair synergistically enhanced the tensile strength and toughness of the optimized PAP (PAP-15) films to 311.4 MPa and 32.4 MJ·m−3, respectively, alongside a high electrical conductivity of 1510 S·m−1. Leveraging this conductivity, PAP-15 films achieve multifunctional integration, including 28.3 dB (8201 dB·cm2·g−1) electromagnetic interference shielding effectiveness in the X-band, rapid Joule heating to 134 ℃ within 10 s at 5 V, and self-extinguishing behavior. This work establishes a universal platform for scalable production of high-performance PPTA-based flexible composites, overcoming traditional mechanical-functional trade-offs in shielding materials.
机械稳健性与多功能性的协同集成仍然是柔性屏蔽材料的关键挑战。本文介绍了在NMP/CaCl2复合溶剂体系中,以对芳纶(PPTA)预聚物为反应单体的分子工程策略,通过可控的二次聚合合成了固有粘度为4.1 dL·g−1的高分子量PPTA (hw -PPTA)溶液。可扩展的叶片涂层与分子组装协同作用,使这些溶液快速加工成薄膜,其抗拉强度为278.5 MPa,断裂伸长率为14.3%,韧性为23.5 MJ·m−3。导电聚吡咯(PPy)在PPTA基体上的氢键原位聚合制备了多功能PPTA-PPy (PAP)复合薄膜。动态界面相互作用和纳米粒子缺陷修复协同提高了优化后的PAP (PAP-15)薄膜的拉伸强度和韧性,分别达到311.4 MPa和32.4 MJ·m−3,同时具有1510 S·m−1的高电导率。利用这种导电性,PAP-15薄膜实现了多功能集成,包括28.3 dB (8201 dB·cm2·g−1)x波段电磁干扰屏蔽效果,5 V下10 s内快速焦耳加热到134℃,以及自熄性能。这项工作为高性能ppta基柔性复合材料的可扩展生产建立了一个通用平台,克服了传统屏蔽材料的机械功能权衡。
Ni–Deficient NiO/Downsized RuO2 Composite Catalyst with Rivalrous Size Evolution for Rechargeable Li–CO2 Batteries
Dae–Kwon Boo, Huiju Kim, Seung Jae Kwak, Ho–Jin Lee, Yeji Lim, Yoonjeong Yoo, Hyechan Park, Junhyuk Tak, Ji Hyun Lee, Jae–Woo Seo, Seon–Jin Choi, Ki Ro Yoon, Wonchang Choi, Bonjae Koo, Won Bo Lee, YongJoo Kim, Won–Hee Ryu, Ji–Won Jung
doi:10.1016/j.composites b.2025.113004
可充电锂-二氧化碳电池用缺镍NiO/缩小尺寸RuO2复合催化剂
Lithium–carbon dioxide (Li–CO2) batteries utilize a lightweight and environmentally impactful CO2 gas as a cathode and offer a high energy density (1,876 Wh kg–1). However, the thermodynamically stable discharge product, Li2CO3, necessitates the use of catalysts to facilitate reversible reaction kinetics, underscoring the importance of developing efficient catalysts to overcome this bottleneck. In this study, we fabricate nanofiber NiO–RuO2 composite oxide catalysts (nf–NRO) to utilize the synergistic effect of the two oxides. In particular, we spotlight a critical phenomenon–rivalrous grain growth between two oxide components–as a strategy for catalyst optimization, balancing cost–effectiveness and catalytic performance. We observe rivalrous particle size changing behavior, where increasing the RuO2 ratio in the composite oxide leads to RuO2 downsizing and NiO coarsening. To elucidate this phenomenon, we propose expected mechanis ms supported by DFT calculations; 1) Band bending between metallic oxide and p–type semiconductor, 2) Interfacial redox reactions driven by differences in the reduction potentials of the NiO and RuO2 nanoparticles, 3) Acceleration of NiO growth due to the oxygen donor effect of RuO2 coupled with surface energy–driven growth mechanis ms. Accordingly, the catalytic property of nf–NRO55 is maximized by downsizing RuO2 and Ni3+–rich NiO. The Li–CO2 battery with nf–NRO exhibits lower charge platform and superior cycle stability over 120 cycles. As a result, the correlation between the material properties of the nf–NRO and their electrochemical performance is identified.
锂-二氧化碳(Li-CO2)电池利用轻质且环保的二氧化碳气体作为阴极,提供高能量密度(1876 Wh kg-1)。然而,热力学稳定的放电产物Li2CO3需要使用催化剂来促进可逆反应动力学,这突出了开发高效催化剂以克服这一瓶颈的重要性。在本研究中,我们制备了纳米纤维NiO-RuO2复合氧化物催化剂(nf-NRO),以利用两种氧化物的协同效应。我们特别关注了一个关键现象——两种氧化物组分之间的竞争性晶粒生长——作为催化剂优化、平衡成本效益和催化性能的策略。我们观察到竞争粒度的变化行为,其中增加复合氧化物中RuO2的比例导致RuO2缩小和NiO粗化。为了阐明这一现象,我们提出了由DFT计算支持的预期机制;1)金属氧化物与p型半导体之间的能带弯曲;2)NiO和RuO2纳米颗粒的还原电位差异驱动的界面氧化还原反应;3)RuO2的氧供体效应与表面能驱动的生长机制耦合导致NiO的加速生长。因此,通过减小RuO2和富Ni3+ NiO的体积,可以最大限度地提高nf-NRO55的催化性能。具有nro的锂-二氧化碳电池具有较低的充电平台和超过120次循环的优异循环稳定性。结果表明,nro的材料性能与其电化学性能之间存在相关性。
Enhanced adhesive bonding at the adhesive-CFRTP interface via plas ma and silane coupling agents in adhesively-bonded metal-CFRTP joints
Yongsoon Shin, Areesa Trevino, Yao Qiao, Roberts J. Seffens, Mark H. Engelhard, Mary Gilliam, Graham Garner, Michael Lukitsch, Blair E. Carlson, Kevin L. Simmons
doi:10.1016/j.composites b.2025.113009
通过等离子体和硅烷偶联剂增强金属- cfrtp粘合接头中粘合剂- cfrtp界面的粘合
Plas ma treatment followed by chemical grafting has been applied to improve the bonding performance of adhesively bonded dissimilar surfaces, aluminum alloy Aural-5 and carbon-fiber-reinforced polyamide 66 (CFRP-PA66), as an example for metal/CFRTP (Carbon fiber-reinforced thermoplastic polymer) dissimilar joints. Chemical grafting of organosilane coupling agents including 3-mercaptopropyl trimethoxysilane, 3-glycidyloxypropyl trimethoxysilane, and 3-aminopropyl trimethoxysilane on CFRTP surfaces formed silane linkages on CFRTP side and other functional groups of organosilanes improved epoxy ring-opening polymerization at the interface between the adhesive and CFRTP, which led to improved lap shear strength of adhesively-bonded Aural 5/CFRTP joints. Lap shear strengths (LSS) of the joints with combined plas ma and organosilane-grafted CFRTP surfaces were about 39.8-51.5% higher than those with as-received CFRTP surfaces and showed an additional 24.4-34.8% increase compared to those with plas ma-treated-only CFRTP surfaces. The mercapto group, which has the highest nucleophilicity among the three functional groups, exhibited higher LSS compared to the other two plas ma and organosilane-coated combinations.
以金属/CFRTP(碳纤维增强热塑性聚合物)异种接头为例,采用等离子体处理和化学接枝技术提高了异种表面、铝合金Aural-5和碳纤维增强聚酰胺66 (CFRP-PA66)的粘合性能。在CFRTP表面化学接枝3-巯基丙基三甲氧基硅烷、3-甘油三酯氧基三甲氧基硅烷和3-氨基丙基三甲氧基硅烷等有机硅烷偶联剂,在CFRTP侧形成硅烷键,有机硅烷的其他官能团改善了粘合剂与CFRTP界面环氧开环聚合,从而提高了粘接剂aur5 /CFRTP接头的搭接剪切强度。等离子体和有机硅烷接枝CFRTP表面复合接头的搭接抗剪强度(LSS)比未接枝CFRTP表面的接头提高39.8 ~ 51.5%,比仅接枝CFRTP表面的接头提高24.4 ~ 34.8%。巯基在三个官能团中具有最高的亲核性,与其他两个等离子体和有机硅烷包覆组合相比,表现出更高的LSS。
Thermomechanical Evaluation-Guided Structural Design and Porous Interface Optimization of Multilayer Heterogeneous Cladding
Shuang Liang, Yu Zhou, Guoquan Li, Burong Ran, Chong Wei
doi:10.1016/j.composites b.2025.113006
基于热力学评价的多层非均质熔覆层结构设计与多孔界面优化
In advanced nuclear reactors, refractory metal-SiCf/SiC multilayer cladding is considered to be a promising accident-tolerant fuel cladding because it overcomes the gas-tightness limitation of SiCf/SiC cladding. However, the mechanis ms by which structural changes affect their thermomechanical properties are unclear, and the excessive interface stress remains a major obstacle to their application. In this study, a parametric modeling approach was employed to rapidly construct 15 heterogeneous cladding structures with 2D braided SiCf/SiC composites, incorporating five types of metal liners (W, Mo, Re, Ta, Nb) at three different thickness levels. Their thermo-mechanical properties were systematically an alyzed using finite element simulation at RT, 450 °C, 1000 °C, and 1200 °C. The results show that among the five metal liner systems, the Re- and W- lined systems exhibit superior overall performance in the non-irradiated state, with their thermomechanical properties consistently improving as liner thickness increases. In contrast, the Mo-, Ta-, and Nb-lined systems display inconsistent trends. Notably, the Re-lined cladding consistently shows the highest interfacial thermal stress across all temperature conditions. To effectively alleviate this issue, a porous SiC interlayer was designed, optimized and successfully fabricated, resulting in a ∼30 % reduction in interfacial stress. This study provides theoretical foundations and design guidelines for enhancing the inherent safety of advanced reactors and optimizing the structural parameters of nuclear-grade SiCf/SiC heterogeneous claddings.
在先进的核反应堆中,难熔金属-SiCf/SiC多层包层克服了SiCf/SiC包层气密性的限制,被认为是一种很有前途的耐事故燃料包层。然而,结构变化影响其热机械性能的机制尚不清楚,过大的界面应力仍然是其应用的主要障碍。在本研究中,采用参数化建模方法快速构建了15种二维编织SiCf/SiC复合材料的非均质包层结构,其中包括五种不同厚度的金属衬垫(W, Mo, Re, Ta, Nb)。在室温、450°C、1000°C和1200°C的条件下,采用有限元模拟系统地分析了它们的热力学性能。结果表明:在五种金属衬里体系中,Re-和W-衬里体系在非辐照状态下表现出较好的综合性能,随着衬里厚度的增加,其热机械性能不断提高;相反,Mo-、Ta-和nb -衬里的体系表现出不一致的趋势。值得注意的是,在所有温度条件下,重新内衬的包层始终显示出最高的界面热应力。为了有效缓解这一问题,设计、优化并成功制造了多孔碳化硅夹层,使界面应力降低了约30%。本研究为提高先进反应堆固有安全性和优化核级SiCf/SiC非均质包壳结构参数提供了理论基础和设计指导。