基于分形维数的RC框架地震损伤识别与评估
Fractal Dimension-Based Seismic Damage Identification and Assessment of RC Frames
摘要: 本研究旨在提出一种基于分形维数的钢筋混凝土(RC)框架结构地震损伤识别与评估方法。研究通过ABAQUS软件建立了一个三层单跨的RC框架有限元模型,选取El Centro波、Kobe波和一条人工地震波作为输入。采用盒计数法计算结构在地震作用下位移和加速度响应信号的分形维数(DB)。研究对比了损伤前后响应信号分形维数的变化,分析了分形维数与地震波中心频率、楼层位置以及结构损伤程度的关联。研究发现,响应信号的分形维数随损伤程度的增加而显著增大,且加速度信号的分形维数对损伤更为敏感。基于此,论文提出了一种新的“分形损伤指数”(FDI),并给出了与“基本完好”、“轻微损伤”和“中等损伤”三个等级相对应的FDI建议阈值,旨在为结构损伤预警和震后快速评估提供补充性指标。
Abstract: This study aims to propose a seismic damage identification and assessment method for Reinforced Concrete (RC) frame structures based on fractal dimension. A three-story, single-bay finite element model of an RC frame was established using ABAQUS software, with the El Centro wave, Kobe wave, and an artificial seismic wave selected as inputs. The box-counting method was employed to calculate the fractal dimensions (DB) of displacement and acceleration response signals of the structure under seismic excitation. The study compared the changes in fractal dimensions of the response signals before and after damage and analyzed the correlations between the fractal dimension and the central frequency of the seismic wave, the story level, as well as the degree of structural damage. The results indicate that the fractal dimension of the response signals increases significantly with the degree of damage, and the fractal dimension of the acceleration signal is more sensitive to damage. Based on these findings, a novel “Fractal Damage Index” (FDI) is proposed, along with suggested FDI thresholds corresponding to three damage levels: “Basically Intact”, “Slightly Damaged”, and “Moderately Damaged”. This aims to provide a supplementary indicator for structural damage early warning and rapid post-earthquake assessment.
文章引用:马选, 刘猛. 基于分形维数的RC框架地震损伤识别与评估[J]. 土木工程, 2026, 15(7): 8-17. https://doi.org/10.12677/hjce.2026.157173

参考文献

[1] 姜绍飞, 苏莹. 分形理论在土木工程领域中的应用[J]. 工程力学, 2009, 26(S1): 148-152+162.
[2] 龚囱, 戚燕顺, 缪浩杰, 等. 考虑裂纹分形维数的平行黏结模型细观参数标定的神经网络模型[J]. 岩土力学, 2025, 46(1): 327-336.
[3] Pavičić, I., Dragičević, I., Vlahović, T., et al. (2017) Fractal Analysis of Fracture Systems in Upper Triassic Dolomites in Žumberak Mountain, Croatia. Rudarsko-Geološko-Naftni Zbornik, 32, 1-13. [Google Scholar] [CrossRef
[4] 郑芳, 邓津, 安亮. 黄土微观参数指标与阻尼比关联度研究[J]. 世界地震工程, 2021, 37(3): 180-188.
[5] Carpinteri, A. and Brighenti, R. (2010) Fracture Behaviour of Plain and Fiber-Reinforced Concrete with Different Water Content under Mixed Mode Loading. Materials & Design, 31, 2032-2042. [Google Scholar] [CrossRef
[6] 宋宇, 刘保国, 任大瑞, 等. 基于分形理论构建随机粗糙节理模型的方法研究[J]. 岩石力学与工程学报, 2021, 40(1): 101-112.
[7] 饶平平, 王齐苘, 吴健. 基于分形理论的雷电冲击土体等离子体通道发展研究[J]. 上海理工大学学报, 2023, 45(6): 610-619.
[8] 孙杰, 申紫豪, 廖海峰. 基于分形理论的冻融荷载耦合作用下纤维混凝土的抗压强度[J]. 复合材料学报, 2024, 41(11): 6101-6110.
[9] Yu, L.C., Huang, M.M., Wang, C., et al. (2023) Underwater Structure Health Status Assessment Using Fractal Theory-Based Crack Detection Algorithm. Journal of Performance of Constructed Facilities, 37, Article 04023023. [Google Scholar] [CrossRef
[10] 郭伟, 秦鸿根, 陈惠苏, 等. 分形理论及其在混凝土材料研究中的应用[J]. 硅酸盐学报, 2010, 38(7): 1362-1368.
[11] 刘鹏波, 孟祥, 刘磊, 等. 高温后玄武岩纤维增强混凝土冲击能量耗散及破碎分形特征研究[J]. 建筑结构, 2025, 55(17): 46-53.
[12] 吴剑锋, 黄雨悦, 李赫赫, 等. 混凝土单轴压缩表面裂纹分布的一致分形特征[J]. 材料导报, 2025, 39(4): 98-104.
[13] Li, X., Ma, R., Sun, H., Liu, R., Bao, Y. and Wen, L. (2025) Unraveling Meso-Structural Evolution in Fiber-Reinforced Concrete with Recycled Powder: Evidence and Insights from X-Ray Computed Tomography (CT) and Fractal Theory. Journal of Sustainable Cement-Based Materials, 14, 1355-1375. [Google Scholar] [CrossRef
[14] Jiang, Z., Cai, G., Liu, Y., Wang, P. and Yu, S. (2024) Pore Structure and Mechanical Characteristics of CRS Mortar Based on NMR and Fractal Theory. Construction and Building Materials, 457, Article 139459. [Google Scholar] [CrossRef
[15] Song, Y.Q., Dong, W., Xue, G., et al. (2025) Capillary Water Absorption Characteristics of Aeolian Sand Concrete: Fractal Theory-Based Analysis and Numerical Simulation with Experimental Verification. Construction and Building Materials, 492, Article 142994. [Google Scholar] [CrossRef
[16] 薛慧君, 郑建庭, 邹春霞, 等. 风积沙对引气混凝土强度及孔结构的影响[J]. 建筑结构, 2022, 52(8): 112-117.
[17] 解北京, 蔺淑蓉, 汪泉, 等. 冲击载荷下饱水红砂岩力学响应与破碎特征[J]. 安全与环境学报, 2025, 25(7): 2582-2592.
[18] Hu, L.H., Zhang, Z.H., Liang, X., et al. (2021) Fractal Analysis of Fragmentation Distribution of Rockbursts Induced by Low‐Frequency Seismic Disturbances. Advances in Civil Engineering, 2021, Article 6679891. [Google Scholar] [CrossRef
[19] 于江, 皮滟杰, 秦拥军. 循环载荷下再生混凝土损伤声发射特性[J]. 材料导报, 2021, 35(13): 13011-13017.
[20] 陈韵竹. 声发射系统的研发及混凝土损伤监测研究[D]: [硕士学位论文]. 大连: 大连理工大学, 2022.
[21] 胡亮, 钱德玲, 刘杰, 等. 基于ABAQUS的RC框架节点的有限元分析[J]. 合肥工业大学学报(自然科学版), 2012, 35(5): 657-661.
[22] Li, P.F., Cui, X.P., Wei, Y.J., et al. (2023) Calibration Method of Mesoscopic Parameter in Sandy Cobble Soil Triaxial Test Based on PFC3D. Frontiers of Structural and Civil Engineering, 17, 1924-1933. [Google Scholar] [CrossRef
[23] 蔡江东, 刘志, 陈亚东, 等. 爆炸冲击波在RC模型板跨中及板端传播特性[J]. 建筑结构, 2021, 51(S2): 1064-1067.
[24] 宋肖龙, 耿东阳, 高文学, 等. 基于周界分形维数的隧道围岩爆破损伤非线性特征研究[J]. 中国安全生产科学技术, 2025, 21(6): 159-167.
[25] Cheraghi, K., Tavana, M.H. and Aghayari, R. (2023) Investigating the Effect of Low-Yield Yielding Dampers on the Seismic Behavior of Steel Frames. Periodica Polytechnica Civil Engineering, 67, 925-935. [Google Scholar] [CrossRef
[26] 康帅, 王自法, 周荣环, 等. 基于小波散射变换的RC框架结构震后损伤异常智能检测[J]. 建筑科学与工程学报, 2025, 42(2): 27-38.
[27] 邓夕胜, 周紫娟, 赖馨粤, 等. 基于BP神经网络的RC框架结构主余震易损性分析[J]. 地震研究, 2025, 48(3): 496-506.