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A novel double-arrow auxetic structure with bidirectional stiffness tunability: Design and mechanical characterization 一种具有双向刚度可调的新型双箭头结构:设计与力学特性
IF 4.3 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2026-02-06 DOI: 10.1016/j.istruc.2026.111308
Xianjie Wang , Yongdang Chen , Donghai Jiang , Mengjie Xiang , Zheng Zhang
To overcome the limitations of conventional double-arrow auxetic structures (DASs), including insufficient stiffness, the trade-off between auxetic performance and tunable stiffness, and inadequate load-bearing stability due to the absence of flat boundaries, a novel tunable stiffness double-arrow auxetic structure (TSS) is proposed. The TSS is constructed by embedding a tunable stiffness component within a double-arrow auxetic cell and periodically arranging these unit cells in a lattice. Quasi-static compression experiments and finite element (FE) simulations were conducted to systematically investigate its mechanical behavior along X and Y directions. Furthermore, parametric analysis examined the effects of the tunable component’s angle (θ) and gap length (H). The findings demonstrate that the TSS exhibits four distinct deformation stages under compression: double-arrow auxetic deformation, stiffness transition, in-plane yielding, and densification. The tunable stiffness components enhance deformation uniformity while maintaining stable negative Poisson's ratio characteristics, with the effect being more pronounced in the X direction. Compared with the traditional DAS, the TSS shows markedly improved stiffness and specific energy absorption, as well as evident anisotropy. Increasing the angle θ significantly enhances both stiffness and energy absorption capacity in the two principal directions, whereas decreasing H accelerates the onset of the stiffness transition stage, improving energy dissipation but reducing auxetic performance. The proposed TSS structure thus achieves precise optimization of bidirectional mechanical behavior through the synergistic regulation of the angle and gap length, offering a new strategy and technical foundation for the design of metamaterials in applications such as impact protection and vibration mitigation.
摘要针对传统双箭头补强结构刚度不足、补强性能与可调刚度之间的权衡以及无平面边界导致的承载稳定性不足等问题,提出了一种新型可调刚度双箭头补强结构。TSS是通过在双箭头辅助单元内嵌入可调刚度分量并周期性地将这些单元格排列在晶格中来构建的。通过准静态压缩实验和有限元模拟,系统地研究了其在X和Y方向上的力学行为。此外,参数分析考察了可调元件角度(θ)和间隙长度(H)的影响。结果表明:TSS在压缩作用下呈现出4个不同的变形阶段:双箭头形变、刚度转变、面内屈服和致密化。可调刚度分量增强了变形均匀性,同时保持了稳定的负泊松比特性,且在X方向上效果更为明显。与传统的DAS相比,TSS的刚度和比能吸收明显提高,各向异性明显。增加角θ可显著提高两个主要方向的刚度和吸能能力,而减小H可加速刚度过渡阶段的开始,提高耗能但降低消声性能。由此提出的TSS结构通过角度和间隙长度的协同调节实现了双向力学行为的精确优化,为冲击防护和减振等应用中的超材料设计提供了新的策略和技术基础。
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引用次数: 0
Effects of ply parameters on band gap behavior in lightweight periodically layered CFRP laminates 厚度参数对轻质周期性层状CFRP层合板带隙性能的影响
IF 4.3 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2026-02-06 DOI: 10.1016/j.istruc.2026.111271
Yukuan Dou , Jinguang Zhang , Kian Meng Lim , Xianglong Wen
This paper presents a periodically layered carbon fiber reinforced polymer (CFRP) laminate (PLCL) with band gap characteristics. The transfer matrix and finite element methods are employed to establish the dispersion relation and frequency response model of PLCL. The study investigates the influence of ply parameters on the band gap and validates the findings through experiments. By adjusting the ply parameters, low-frequency vibration reduction can be achieved. The results indicate that the bending stiffness ratio of the sub-units is a key factor in controlling both the relative band gap width and transmissibility. The study further establishes Lamb wave velocity model to calculate the non-dimensional frequency of band gap and propose two indexes of lightweight band gap. Compared to some composite periodic structures, PLCL has less material density to achieve equivalent band gap performance. PLCL demonstrates higher strength than high-strength steel (Q690) and comparable mass to aluminum alloy (7075) under identical bending stiffness conditions. This study provides a method for achieving both lightweight design and enhanced vibration-reduction performance in CFRP applications.
提出了一种具有带隙特性的周期性层状碳纤维增强聚合物(CFRP)层压板(PLCL)。采用传递矩阵法和有限元法建立了PLCL的频散关系和频响模型。研究了厚度参数对带隙的影响,并通过实验验证了研究结果。通过调整铺层参数,可以实现低频减振。结果表明,子单元的弯曲刚度比是控制相对带隙宽度和透射率的关键因素。进一步建立Lamb波速模型计算带隙的无因次频率,并提出了两个轻量化带隙的指标。与某些复合周期结构相比,PLCL具有较少的材料密度以达到等效带隙性能。在相同的弯曲刚度条件下,PLCL的强度高于高强度钢(Q690),质量与铝合金(7075)相当。这项研究提供了一种既实现轻量化设计又增强碳纤维增强材料减振性能的方法。
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引用次数: 0
Performance-based seismic evaluation and machine learning prediction of damage index for externally strengthened reinforced concrete columns with high-performance fiber composite laminates 高性能纤维复合材料层合板外加固混凝土柱基于性能的地震评价及损伤指标机器学习预测
IF 4.3 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2026-02-05 DOI: 10.1016/j.istruc.2026.111093
Yang Chan, Yan Liu, K. Jasim M., C. Sheng Shao, H.E. Hosiny A., Sami E. Atar, J. Escorca G
This study examines the cyclic behavior and seismic damage progression of Reinforced Concrete (RC) columns reinforced with steel bars and externally strengthened using High-Performance Fiber Composite (HPFC) laminates as Synthetic Fiber Composite (SFC) bands. The columns were tested under constant axial load and reversed cyclic lateral displacement. Key variables included the level of HPFC reinforcement ranging from 0 % to 25 % vertical band coverage in the plastic hinge region and the effective column length with short and tall configurations. Results indicated that 25 % HPFC reinforcement increased lateral load capacity by up to 40 % and nearly doubled the dissipated hysteretic energy. The dissipated energy increased from 1080 kN·mm to 2260 kN·mm. Additionally, drift capacity improved from approximately 1.8–2.0 % to 3.2–3.5 % at 20 % post-peak strength loss. Residual drifts for short columns remained low, indicating minimal permanent deformation in relation to the enhanced strength and energy dissipation. Shorter columns demonstrated greater reinforcement effectiveness, with plasticity localized in the externally reinforced region, while taller columns exhibited more distributed cracking and flexural deformation. A Structural Reinforcement Efficiency Factor (SREF), which combines normalized peak strength, ultimate drift, and dissipated energy, was introduced. The SREF values were slightly higher for short columns compared to tall ones. A hybrid artificial neural network support vector machine (ANN-SVM) model, based on the experimental data, achieved a Coefficient of Determination (R²) of 0.89, a Root Mean Square Error (RMSE) of 0.18, and a Mean Absolute Error (MAE) of 0.13, effectively predicting the modified Park Ang Damage Index (DI). This integrated AI-based framework provides a valuable tool for performance-based seismic design and retrofit optimization of HPFC strengthened RC columns.
本研究考察了钢筋加固和高性能纤维复合材料(HPFC)层压板作为合成纤维复合材料(SFC)带进行外部加固的钢筋混凝土(RC)柱的循环行为和地震损伤进展。柱在恒定轴向荷载和反循环侧向位移作用下进行了试验。关键变量包括hfc配筋水平(0 % ~ 25 %),塑性铰区域垂直带覆盖率和短、高配置的有效柱长。结果表明,25% % HPFC配筋可使侧载能力提高40% %,耗散滞回能几乎增加一倍。耗散能量由1080 kN·mm增加到2260 kN·mm。此外,在峰值强度损失20% %的情况下,漂移能力从大约1.8-2.0 %提高到3.2-3.5 %。短柱的残余漂移仍然很低,表明相对于增强的强度和能量耗散,永久变形最小。短柱的配筋效果更好,塑性局限于外配筋区,而高柱的配筋开裂和受弯变形分布更广。提出了一种结合归一化峰值强度、极限漂移和耗散能的结构配筋效率系数(SREF)。与高列相比,短列的SREF值略高。基于实验数据建立的混合人工神经网络支持向量机(ANN-SVM)模型的决定系数(Coefficient of Determination, R²)为0.89,均方根误差(Root Mean Square Error, RMSE)为0.18,平均绝对误差(Mean Absolute Error, MAE)为0.13,能够有效预测修正后的Park Ang Damage Index (DI)。这种集成的基于人工智能的框架为基于性能的HPFC加固RC柱抗震设计和改造优化提供了有价值的工具。
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引用次数: 0
Fiber-reinforced concrete with recycled high-alumina refractory aggregates: Mechanical performance after exposure to elevated temperatures 含再生高铝耐火骨料的纤维增强混凝土:高温后的机械性能
IF 4.3 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2026-02-05 DOI: 10.1016/j.istruc.2026.111303
Alireza Saljoughian, Mohammad Reza Eftekhar, Mohammad Mahdi Shiravi, Ahmadreza Karimzadeh, Davood Mostofinejad
This study investigates the thermos-mechanical performance of fiber-reinforced concrete produced with recycled refractory aggregates, aiming to improve fire resistance while promoting circular use of industrial waste. High-alumina refractory brick (HARB), standard refractory brick, and porcelain ceramic wastes were used as aggregate replacements. To enhance toughness and thermal stability, mixes included different fiber types (steel, basalt, and barchip), and in selected mixes, refractory cement instead of ordinary Portland cement. The experimental program comprised three stages: (1) evaluation of compressive strength of concretes made with HARB, refractory brick, and porcelain ceramic aggregates after exposure to elevated temperatures; (2) assessment of the combined effect of fiber reinforcement and refractory cement on residual mechanical properties following heating up to 800 °C; and (3) selection of optimal mixes for further testing, including flexural strength, mass loss, and fractal-dimension analysis. Results demonstrate that all mixtures lost strength with increasing temperature, but the rate and magnitude of degradation depended strongly on aggregate type, binder, and fiber content. At ambient temperature (20 °C) Portland cement mixes exhibited the highest compressive strength, whereas at 800 °C mixes incorporating refractory cement retained substantially higher strength. Notably, the mix containing steel fibers, HARB aggregates and refractory cement exhibited compressive strength of 373 % over the HARB + Portland cement mix and 265 % over the HARB + refractory cement mix without fibers. Additionally, at 800 °C, the HARB + refractory cement mix outperformed the comparable porcelain-aggregate mix by 58 % in compressive strength. Hybrid basalt-barchip fibers demonstrated the smallest decrease in flexural strength and barchip fibers effectively mitigated spalling at elevated temperatures. These findings demonstrate that combining recycled high-temperature-resistant aggregates, refractory cement, and appropriate fiber system can substantially enhanced post-fire mechanical resilience of concrete while diverting refractory waste from landfills, offering a practical pathway to more sustainable, fire-resistance structural materials.
本研究旨在研究用再生耐火骨料制成的纤维增强混凝土的热力学性能,以提高其耐火性能,同时促进工业废料的循环利用。高铝耐火砖(HARB)、标准耐火砖和陶瓷废料作为骨料替代品。为了增强韧性和热稳定性,混合物中加入了不同类型的纤维(钢、玄武岩和棒材),并在选定的混合物中使用耐火水泥代替普通硅酸盐水泥。实验计划包括三个阶段:(1)评估高温下由HARB、耐火砖和陶瓷骨料制成的混凝土的抗压强度;(2)评价纤维增强材料与耐火水泥在加热至800℃后对残余力学性能的综合影响;(3)为进一步测试选择最佳混合料,包括抗弯强度、质量损失和分形维数分析。结果表明,随着温度的升高,所有混合物的强度都有所下降,但降解的速度和程度与骨料类型、粘结剂和纤维含量密切相关。在环境温度(20°C)下,波特兰水泥混合物表现出最高的抗压强度,而在800°C下,掺入耐火水泥的混合物保持了更高的强度。值得注意的是,含有钢纤维、HARB骨料和耐火水泥的混合料的抗压强度比HARB + 波特兰水泥混合料高373 %,比不含纤维的HARB + 耐火水泥混合料高265 %。此外,在800°C时,HARB + 耐火水泥混合物的抗压强度比可比的瓷骨料混合物高出58% %。玄武岩-棒材混合纤维的抗弯强度下降最小,棒材纤维在高温下有效地减轻了剥落。这些发现表明,将回收的耐高温骨料、耐火水泥和适当的纤维系统相结合,可以大大提高混凝土的火灾后机械弹性,同时转移垃圾填埋场的耐火废料,为开发更可持续的耐火结构材料提供了一条切实可行的途径。
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引用次数: 0
Investigation of the shear strength of steel fiber-reinforced concrete beams through a coupled analysis of crack kinematics and shear-resisting mechanisms 基于裂纹运动学和抗剪机理耦合分析的钢纤维混凝土梁抗剪强度研究
IF 4.3 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2026-02-05 DOI: 10.1016/j.istruc.2026.111302
Leticia C.D. Santos , Thomás L. Resende , Ricardo Pieralisi
The shear behavior of steel fiber-reinforced concrete (SFRC) beams without stirrups has been widely investigated and several design-oriented formulations are currently available. However, the literature lacks a rational and mechanistic understanding of how steel fibers interact with the different shear transfer mechanisms along the critical crack and how those mechanisms contribute to the overall shear resistance. Towards addressing such a knowledge gap, an experimental–theoretical investigation was conducted on eight slender beams with varying fiber contents, tested under a three-point bending setup with full-field displacement monitoring of the failure region. The analysis included detailed evaluations of crack patterns, critical crack kinematics, and evolution of shear transfer mechanisms throughout loading. A novel approach based on flexural tensile test calibration is introduced for quantifying the fibers’ contribution across the critical crack. The summation of shear-resisting mechanisms showed satisfactory agreement with experimentally measured shear forces during loading stages approaching failure. The results indicate beams with identical fiber contents may exhibit similar global load–deflection responses while significantly differing in crack propagation and kinematics, highlighting the complex and case-dependent nature of shear transfer. Moreover, the influence of fiber content on both upward progression of the critical crack and mobilization of other shear mechanisms was clearly demonstrated. The findings contribute to a deeper mechanistic understanding of shear in SFRC beams and provide a foundation for the development of more rational design methodologies.
钢纤维混凝土(SFRC)无箍筋梁的抗剪性能已经得到了广泛的研究,目前已有几种面向设计的配方。然而,文献缺乏对钢纤维沿临界裂纹与不同剪切传递机制如何相互作用以及这些机制如何促进整体抗剪能力的理性和机制理解。为了解决这一知识差距,对8根不同纤维含量的细长梁进行了实验-理论研究,在三点弯曲装置下进行了测试,并对破坏区域进行了全场位移监测。分析包括裂纹模式的详细评估,临界裂纹运动学,以及整个加载过程中剪切传递机制的演变。介绍了一种基于弯曲拉伸试验标定的新型方法,用于量化纤维在临界裂纹上的贡献。在接近破坏的加载阶段,抗剪机制的总和与实验测量的剪切力一致。结果表明,具有相同纤维含量的梁可能表现出相似的整体荷载-挠度响应,但裂纹扩展和运动学显著不同,突出了剪切传递的复杂性和个案依赖性。此外,纤维含量对临界裂纹向上扩展和其他剪切机制的动员都有明显的影响。这些发现有助于更深入地理解SFRC梁的剪切机制,并为开发更合理的设计方法提供基础。
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引用次数: 0
Study on the stability and bearing capacity of high-strength steel C-section columns with complex longitudinal stiffeners 复合纵向加劲高强c型钢柱稳定性及承载力研究
IF 4.3 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2026-02-05 DOI: 10.1016/j.istruc.2026.111255
Qiuyi Cao, Yixin Zhu, Jia-Hui Zhang
The buckling behavior of high-strength cold-formed steel C-section members, particularly local, distortional, and global buckling modes, significantly restricts their structural efficiency in lightweight steel applications. This study investigates the impact of complex longitudinal stiffener configurations on the stability and load-bearing capacity of high-strength steel C-section columns. Three stiffening strategies—web stiffeners, flange stiffeners, and combined web–flange stiffeners—were experimentally investigated to evaluate their performance relative to a flat-web C-section reference specimen. In total, 21 specimens with varying lengths and stiffener configurations were subjected to axial compression tests. Finite element models validated the experimental results and facilitated an extensive parametric analysis to assess the influence of stiffener geometry and plate thickness. The findings demonstrated that web stiffeners substantially improved local stability, increasing the load-bearing capacity by an average of 14–34 %, depending on the plate thickness. Flange stiffeners were effective in controlling distortional buckling, enhancing capacity by 12–55 %. Notably, the combined web and flange stiffener arrangement offered the most significant improvement, concurrently addressing local and distortional buckling modes, and achieving an average capacity gain between 50 % and 102 %. Comparisons with the Direct Strength Method (DSM) indicated that although existing DSM predictions tend to be conservative, they exhibited considerable variability for columns with complex stiffener configurations. Consequently, improved DSM design curves and a proposed predictive expression, explicitly incorporating interactions among local, distortional, and overall buckling modes, were developed to enhance accuracy. Reliability analysis further verified the safety and practical applicability of the proposed design approach. The experimental and finite element analysis results provide a method for selecting optimized C-section profiles for cold-formed steel structural walls, enhancing load-bearing capacity for high-performance applications.
高强度冷弯型钢c型钢构件的屈曲行为,特别是局部屈曲、扭曲屈曲和全局屈曲模式,极大地限制了其在轻钢应用中的结构效率。本文研究了复杂纵向加劲肋结构对高强c型钢柱稳定性和承载能力的影响。三种加劲策略-腹板加劲、翼缘加劲和联合腹板-翼缘加劲-进行了实验研究,以评估其相对于平腹板c剖面参考试样的性能。共有21个不同长度和加劲筋配置的试件进行了轴压试验。有限元模型验证了实验结果,并促进了广泛的参数分析,以评估加强筋几何形状和板厚度的影响。研究结果表明,腹板加强筋大大提高了局部稳定性,根据板厚的不同,平均增加了14-34 %的承载能力。加劲翼缘能有效地控制变形屈曲,使承载力提高12 - 55% %。值得注意的是,腹板和法兰加筋组合布置提供了最显著的改进,同时解决了局部屈曲和扭曲屈曲模式,平均容量增加了50% %到102% %。与直接强度法(DSM)的比较表明,虽然现有的DSM预测往往是保守的,但它们对具有复杂加劲结构的柱表现出相当大的可变性。因此,改进的DSM设计曲线和提出的预测表达式,明确地考虑了局部、扭曲和整体屈曲模式之间的相互作用,以提高精度。可靠性分析进一步验证了所提设计方法的安全性和实用性。试验和有限元分析结果为冷弯型钢结构墙体c截面截面的优化选择提供了一种方法,提高了高性能应用的承载能力。
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引用次数: 0
Shear stiffness prediction for shear studs embedded in concrete slab based on physics-informed neural network 基于物理信息神经网络的混凝土板内嵌剪力钉抗剪刚度预测
IF 4.3 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2026-02-05 DOI: 10.1016/j.istruc.2026.111272
Yuchen Zhang , Xiangtao Lu , Chunfeng Wan , Didi Hao , Xudong Wang , Changqing Miao , Songtao Xue
Shear stiffness of shear studs is crucial for load-slip behavior and composite beam calibration. Traditional methods, based on push-out test data, are subject to experimental uncertainties, whereas purely data-driven machine learning models lack physical interpretability. This study introduces a Physics-Informed Neural Network (PINN) framework that integrates the Timoshenko Beam-Winkler Foundation model to predict shear stiffness and was trained on 371 push-out test results. Input parameters include shear stud diameter, height, tensile strength, elastic modulus, concrete properties, shear stud spacing, and number of shear studs. The PINN achieved a determination coefficient (R2) of 0.846 and a mean absolute percentage error (MAPE) of 10.54 %, outperforming four other machine learning models (best R2 = 0.786, MAPE = 13.57 %). To validate the TWF model as a physical constraint, the calculated values from the TWF model, the Eurocode 4, and methods from existing literature were compared with experimental results. The average absolute error of the TWF model was 6.72 %, which was lower than that of Eurocode 4 (41.39 %) and other methods (16.33 %), improving accuracy by 73 % and 59 %, respectively. Shapley Additive Explanations analysis identified shear stud diameter as the dominant factor, accounting for over 40 % of the variation in shear stiffness. In addition, residual analysis and uncertainty intervals are employed to further evaluate the robustness and stability of the proposed PINN model. These results align with the physical model, demonstrating the framework's physical consistency. Consistent with experimental results, the shear stiffness increased with the shear stud diameter and stabilized at higher height-to-diameter ratios. Grouped-shear stud components exhibited a lower shear stiffness than single-shear stud components. The PINN framework offers a novel approach to predicting shear stiffness, with implications for the design and analysis of steel-concrete composite beams.
剪力钉的抗剪刚度对组合梁的荷载-滑移特性和标定至关重要。基于推出测试数据的传统方法受到实验不确定性的影响,而纯数据驱动的机器学习模型缺乏物理可解释性。本研究引入了一个物理信息神经网络(PINN)框架,该框架集成了Timoshenko梁- winkler基础模型来预测剪切刚度,并在371次推出试验结果上进行了训练。输入参数包括剪切螺柱直径、高度、抗拉强度、弹性模量、混凝土性能、剪切螺柱间距和剪切螺柱数量。PINN的决定系数(R2)为0.846,平均绝对百分比误差(MAPE)为10.54 %,优于其他四种机器学习模型(最佳R2 = 0.786, MAPE = 13.57 %)。为了验证TWF模型作为物理约束,将TWF模型的计算值、Eurocode 4和现有文献中的方法与实验结果进行了比较。TWF模型的平均绝对误差为6.72 %,低于Eurocode 4的41.39 %和其他方法的16.33 %,准确率分别提高了73 %和59 %。Shapley加性解释分析发现剪切螺柱直径是主导因素,占剪切刚度变化的40% %以上。此外,利用残差分析和不确定性区间进一步评价了所提出的PINN模型的鲁棒性和稳定性。这些结果与物理模型一致,证明了框架的物理一致性。与实验结果一致,剪切刚度随剪切螺柱直径的增大而增大,并在较高的高径比下保持稳定。群剪螺柱构件比单剪螺柱构件具有更低的抗剪刚度。PINN框架提供了一种预测剪切刚度的新方法,对钢-混凝土组合梁的设计和分析具有重要意义。
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引用次数: 0
Evaluation of damage development and performance degradation for self-centering shear walls under nonstandard loading histories 非标准荷载作用下自定心剪力墙损伤发展及性能退化评价
IF 4.3 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2026-02-05 DOI: 10.1016/j.istruc.2026.111314
Ge Song
This paper evaluates the damage development and performance degradation for self-centering shear walls (SCSWs) subjected to diverse nonstandard loading histories. Sixteen SCSWs with varying concrete strength, self-centering parameters, and stirrup reinforcement ratios are developed and modeled in OpenSees to capture their hysteretic behaviors and energy-dissipating responses. Characteristic damage states are defined to assess and compare damage development for SCSWs under four cyclic loading histories — H1, H2, H3, and H4 — with identical drift amplitudes but different deformation sequences. An energy-based, path-sensitive damage model is employed to quantify damage indices (DI) for SCSWs. The results show a consistent trend of H4 >H3 >H2 >H1 in quantified DI, demonstrating that early application of large drifts significantly accelerates damage accumulation, while improved structural features effectively reduce both damage levels and path sensitivity. In contrast, the Park-Ang model shows limited ability to capture path-dependent damage. Meanwhile, a loading-history sensitivity index (LHSI) is introduced to quantify deformation-history effects, yielding average DI increases of 9.33%, 23.91%, and 40.75% for H2 to H4 relative to the standard loading protocol. A path modification factor is further developed to adjust DI obtained under nonstandard loading paths to align with the suggested damage intervals. Additionally, investigations of residual drifts and equivalent damping ratios confirm the strong influence of deformation history on performance degradation, while increasing the considered structural features can effectively mitigate discrepancies across different loading histories, indicating an enhanced structural performance and damage controllability.
本文对自定心剪力墙在不同非标准荷载作用下的损伤发展和性能退化进行了研究。OpenSees开发了16个具有不同混凝土强度、自定心参数和箍筋配筋率的scsw,并对其进行建模,以捕获其滞回行为和能量耗散响应。定义了特征损伤状态,以评估和比较四种循环加载历史(H1、H2、H3和H4)下scsw的损伤发展,这些加载历史具有相同的漂移振幅,但不同的变形顺序。采用基于能量的路径敏感损伤模型,量化了单兵机动臂的损伤指标。结果表明,量化DI中H4 >;H3 >H2 >;H1的趋势一致,说明早期应用大漂移可显著加速损伤积累,而改进的结构特征可有效降低损伤水平和路径灵敏度。相比之下,Park-Ang模型显示捕捉路径依赖损伤的能力有限。同时,引入加载历史敏感性指数(LHSI)来量化变形历史效应,结果表明,相对于标准加载方案,H2到H4的平均DI分别增加了9.33%、23.91%和40.75%。进一步提出了路径修正因子来调整非标准加载路径下的DI,使其与建议的损伤间隔一致。此外,对残余漂移和等效阻尼比的研究证实了变形历史对性能退化的强烈影响,而增加考虑的结构特征可以有效地缓解不同加载历史之间的差异,表明结构性能和损伤可控性得到增强。
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引用次数: 0
Seismic performance assessment of steel moment-resisting frames with passive dampers 带被动阻尼器的钢质抗弯矩框架抗震性能评价
IF 4.3 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2026-02-05 DOI: 10.1016/j.istruc.2026.111234
Ahmadreza Torabipour , Charles-Darwin Annan , Miad Saberi
Passive energy dissipation devices provide cost-effective and low-maintenance solutions for mitigating seismic vibrations in steel structures. This study proposes and evaluates a novel hybrid parallel slit-rotational damper as an innovative passive control system for steel moment-resisting frames (MRFs). A comprehensive parametric finite element study involving twelve damper configurations was conducted to examine the influence of plate geometry, thickness, and material type on hysteretic behavior and energy dissipation. Steel dampers exhibited higher strength, stiffness, and energy dissipation than aluminum counterparts, while maintaining stable cyclic performance. After identifying the optimal configuration and placement, nonlinear time-history analyses were performed on steel MRFs with and without the proposed dampers under scaled seismic excitation. The analyses quantified inter-story drift, base shear, and floor acceleration responses. Results revealed that integrating steel slit dampers reduced peak drift by up to 60 % and enhanced lateral force resistance by approximately 15 % compared with the conventional frame. These findings highlight the hybrid slit–rotational damper as an efficient, practical, and replaceable solution for improving the seismic resilience of steel structures.
被动耗能装置为减轻钢结构的地震振动提供了成本效益高、维护成本低的解决方案。本文提出并评价了一种新型的并联缝转混合阻尼器作为钢抗矩框架的一种创新的被动控制系统。对12种阻尼器配置进行了全面的参数化有限元研究,考察了板的几何形状、厚度和材料类型对滞回性能和能量耗散的影响。钢阻尼器比铝阻尼器具有更高的强度、刚度和耗能,同时保持稳定的循环性能。在确定了最优配置和布置后,分别对带阻尼器和不带阻尼器的钢磁流变框架在比例地震激励下进行了非线性时程分析。分析量化了层间漂移、基底剪切和楼板加速度响应。结果表明,与传统框架相比,集成钢缝阻尼器减少了高达60% %的峰值漂移,并增加了约15% %的侧向力阻力。这些发现突出表明,混合缝转阻尼器是一种有效、实用、可替代的提高钢结构抗震能力的解决方案。
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引用次数: 0
Multi-periods conditional mean spectrum for ground motion selection in seismic analysis of nuclear power plant structures 核电厂结构地震分析中地震动选择的多周期条件平均谱
IF 4.3 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2026-02-05 DOI: 10.1016/j.istruc.2026.111283
Jiawei Zhao , Duofa Ji , Changhai Zhai
Constructing an accurate target spectrum that reflects the dynamic characteristics of all components is critical for the Probabilistic Safety Assessment (PSA) of nuclear power systems, as it links seismic hazard to structural response. Current methods often yield conservative estimates of structural responses, leading to excessive conservatism in seismic design. Furthermore, the Conditional Mean Spectrum (CMS) is limited by its reliance on a single conditioning period, restricting its ability to provide suitable ground motions for complex structures with multiple vibration periods. To address these limitations, this study introduces the Multi-Period Conditional Mean Spectrum (MPCMS) as a target spectrum for the dynamic analysis of nuclear power structures. This method incorporates the dynamic properties of individual structural components to establish an appropriate target spectrum for ground motion selection. The MPCMS effectively integrates the dynamic characteristics of various structural components by constraining spectral values at periods other than the primary conditioning period. Compared to current methods, the MPCMS reduces the calculated failure probabilities for nuclear power structures by 11.2–19.2 %, thereby mitigating inherent conservatism. These findings provide a valuable reference for the PSA of nuclear power systems.
构建准确反映各部件动态特性的目标谱是核电系统概率安全评估(PSA)的关键,因为它将地震危害与结构反应联系起来。目前的方法往往产生保守的估计结构的反应,导致过度保守的抗震设计。此外,条件平均谱(CMS)依赖于单一的条件周期,限制了其为具有多个振动周期的复杂结构提供合适的地面运动的能力。为了解决这些局限性,本研究引入了多周期条件平均谱(MPCMS)作为核电结构动力分析的目标谱。该方法结合了单个结构部件的动力特性,为地震动选择建立了合适的目标谱。MPCMS通过约束非初始条件周期的光谱值,有效地集成了各种结构部件的动态特性。与现有方法相比,MPCMS将核电结构的计算失效概率降低了11.2 - 19.2% %,从而减轻了固有的保守性。这些研究结果为核电系统的PSA提供了有价值的参考。
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引用次数: 0
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