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学者姓名：范千
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为明确并提升承插式拼装桥墩抵抗压弯扭等复合荷载的能力，提出了一种结合灌浆套筒和承插口组合连接的新型承插装配式墩，通过复合荷载作用下的拟静力试验对比了现浇(reinforced concrete, RC)、灌浆套筒(grouting and sleeve, GS)、承插口(socket with ultra-high performance concrete, SU)和结合套筒连接钢筋的新型承插(grouting sleeve and socket with ultra-high performance concrete, GSU)连接拼装桥墩的损伤机理和滞回性能，结合有限元模型重点讨论了承插口深度对滞回性能的影响。结果表明：4个构件的破坏模式都是以受弯破坏为主的弯扭破坏，其中SU构件出现了轻微拔起的现象，而对应的GSU构件并未出现该现象，与RC构件接近；各构件的剪力-墩顶位移骨架发展趋势比较一致，由于GSU构件纵向钢筋连续，具有更好的整体性能，其抗弯承载力与RC构件接近，且明显大于SU和GS构件，4个构件弯曲滞回耗能较为接近；承插口深度为1.0倍截面宽度的GSU构件抗扭承载力略高于RC构件，且明显大于其余装配式墩，GSU构件的扭转刚度、延性系数和耗能能力均大于其他3个墩；当承插口深度采用0.5倍构件截面宽度时，新型承插GSU构件的抗弯和抗扭承载力均略高于整体现浇构件，具有良好的抵抗压弯扭荷载的能力，可以实现浅承插口连接。研究结果可为压弯扭复合作用下装配式墩的应用提供试验依据。
Keyword ：
压弯扭作用 压弯扭作用 抗震性能 抗震性能 拟静力试验 拟静力试验 新型承插 新型承插 桥梁工程 桥梁工程 浅承插口 浅承插口 节段拼装桥墩 节段拼装桥墩
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| GB/T 7714 | 夏樟华 , 谢君 , 范千 et al. 压弯扭作用下新型承插装配式桥墩的抗震性能 [J]. | 振动与冲击 , 2024 , 43 (12) : 118-130 . |
| MLA | 夏樟华 et al. "压弯扭作用下新型承插装配式桥墩的抗震性能" . | 振动与冲击 43 . 12 (2024) : 118-130 . |
| APA | 夏樟华 , 谢君 , 范千 , 陈金盛 , 林元铮 . 压弯扭作用下新型承插装配式桥墩的抗震性能 . | 振动与冲击 , 2024 , 43 (12) , 118-130 . |
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为研究玄武岩纤维增强聚合物(basalt fiber reinforced polymer, BFRP)模壳不排水加固钢筋混凝土(reinforced concrete, RC)墩柱抗震恢复力模型，在拟静力试验基础上，采用OpenSees有限元软件对模壳加固墩柱进行数值分析，主要研究参数为填充层混凝土强度、模壳厚度、加固高度、轴压比。研究表明：填充层混凝土强度等级越高，墩柱抗震性能有所增强，但C40以上的填充层混凝土强度等级墩柱的抗震性能较为接近；模壳加固厚度较大墩柱的抗震性能优于厚度较小墩柱；当模壳加固高度较高时，墩柱的抗震性能较好，当加固高度大于2～3倍原墩柱塑性铰高度时，抗震性能提升效果趋于稳定；轴压比越大，墩柱的刚度退化较快，不利延性发展。后通过数据回归分析，建立了BFRP模壳加固RC墩柱恢复力模型，对比可知，恢复力模型与试验曲线拟合较好，能有效反映加固墩柱的滞回性能，可为此类结构的抗震性能分析提供参考。
Keyword ：
不排水加固 不排水加固 参数分析 参数分析 恢复力模型 恢复力模型 有限元 有限元 玄武岩纤维增强聚合物(BFRP)模壳 玄武岩纤维增强聚合物(BFRP)模壳 钢筋混凝土(RC)墩柱 钢筋混凝土(RC)墩柱
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| GB/T 7714 | 张景杭 , 夏樟华 , 姜绍飞 et al. BFRP模壳不排水加固RC墩柱恢复力模型 [J]. | 振动与冲击 , 2024 , 43 (16) : 192-203 . |
| MLA | 张景杭 et al. "BFRP模壳不排水加固RC墩柱恢复力模型" . | 振动与冲击 43 . 16 (2024) : 192-203 . |
| APA | 张景杭 , 夏樟华 , 姜绍飞 , 洪俊贤 , 朱朴 , 范千 . BFRP模壳不排水加固RC墩柱恢复力模型 . | 振动与冲击 , 2024 , 43 (16) , 192-203 . |
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本发明提出一种基于地基雷达的斜拉桥拉索索力同步监测方法，包括如下步骤：步骤S1、利用地基雷达同步采集斜拉桥多根拉索的形变数据，通过信噪比、距离、角度数据对桥梁拉索进行定位与分辨，获得各拉索的振动响应信息，并对信息中的拉索时程进行转换；步骤S2、采用变分模态分解VMD和带通滤波对拉索数据进行预处理；步骤S3、利用樽海鞘群算法优化后的变分模态分解算法对步骤S2预处理后的形变数据进行分解，得到各阶模态振动信号；步骤S4、确定模态分量，通过希尔伯特变换获得瞬时频率，结合频率法估算各拉索的索力；本发明能以非接触式方法监测斜拉桥拉索所负荷的索力，而且能同时监测多根拉索的索力。
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| GB/T 7714 | 范千 , 徐小泉 , 陈学雄 et al. 一种基于地基雷达的斜拉桥拉索索力同步监测方法 : CN202210705941.X[P]. | 2022-06-21 00:00:00 . |
| MLA | 范千 et al. "一种基于地基雷达的斜拉桥拉索索力同步监测方法" : CN202210705941.X. | 2022-06-21 00:00:00 . |
| APA | 范千 , 徐小泉 , 陈学雄 , 庄永强 , 陈少华 , 郑学善 . 一种基于地基雷达的斜拉桥拉索索力同步监测方法 : CN202210705941.X. | 2022-06-21 00:00:00 . |
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This paper proposes a novel two-stage structural damage detection strategy based on variational mode decomposition (VMD), fast independent component analysis (FastICA) and enhanced whale optimization algorithm integrated with Salp swarm algorithm (ESSAWOA). In the first stage, VMD and FastICA are utilized to decompose and process the initial response signals of the structure to detect the damage time preliminary. In the second stage, ESSAWOA algorithm is employed to identify the structural parameters (e.g., stiffness, mass or damping ratio) at different periods of time to determine the location and extent of the damage. To investigate the performance of the strategy, the simulation tests in six damage scenarios are carried out on a three-story numerical model. Then, the superiority of the parameter identification method based on ESSAWOA is verified on a seven-story simulation model. Finally, experimental verification on a laboratory seven-story steel frame is conducted to further validate the accuracy of the proposed strategy. The results in both numerical simulations and experimental validation prove that the two-stage strategy can effectively detect the time, location and extent of the damage in the frame structure. Furthermore, it has good applicability and robustness.
Keyword ：
Independent component analysis Independent component analysis Intelligent algorithm Intelligent algorithm Signal processing Signal processing Structural damage detection Structural damage detection Variational mode decomposition Variational mode decomposition
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| GB/T 7714 | Fan, Qian , Chen, Zhenjian , Xia, Zhanghua et al. A novel structural damage detection strategy based on VMD-FastICA and ESSAWOA [J]. | JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING , 2022 , 13 (1) : 149-163 . |
| MLA | Fan, Qian et al. "A novel structural damage detection strategy based on VMD-FastICA and ESSAWOA" . | JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING 13 . 1 (2022) : 149-163 . |
| APA | Fan, Qian , Chen, Zhenjian , Xia, Zhanghua , Zhang, Wei . A novel structural damage detection strategy based on VMD-FastICA and ESSAWOA . | JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING , 2022 , 13 (1) , 149-163 . |
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The prestressed cables used for external strengthening and the suspender cables used for arch bridges may suffer damage resulting from the corrosion or fracture of steel wires. Under these scenarios, the effective areas of the cables will decrease, but the cable forces will remain almost constant, which limits the ability to detect this damage with traditional frequency domain analysis. Due to the lack of understanding of the time and frequency domain characteristics, damage indexes and damage quantification for this kind of cable, hidden cable damage may not be detected in time, which can threaten bridge safety. To solve these problems, a series of performance experiments for prestressed cables were designed. The dynamic response signals of these cables to various damage levels, cable forces and cable lengths were obtained and analysed in the time domain, frequency domain and energy domain. Depending on the test, the change rate of wavelet packet total energy (RWE) was determined to be sensitive to cable damage and was chosen as the damage index for the cables. The damage level was quantified by a neural network algorithm with RWE, and a prediction procedure for cable damage was finally established. The damage detection method for external cables proposed in this paper will aid in the damage assessment and long-term monitoring of cable-supported bridges.
Keyword ：
Damage detection Damage detection External cable External cable Neural network algorithm Neural network algorithm Vibration signal Vibration signal Wavelet packet energy Wavelet packet energy
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| GB/T 7714 | Xia, Zhanghua , Lin, Youqin , Wang, Qi et al. Damage detection method for cables based on the change rate of wavelet packet total energy and a neural network [J]. | JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING , 2021 , 11 (3) : 593-608 . |
| MLA | Xia, Zhanghua et al. "Damage detection method for cables based on the change rate of wavelet packet total energy and a neural network" . | JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING 11 . 3 (2021) : 593-608 . |
| APA | Xia, Zhanghua , Lin, Youqin , Wang, Qi , Fan, Qian . Damage detection method for cables based on the change rate of wavelet packet total energy and a neural network . | JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING , 2021 , 11 (3) , 593-608 . |
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针对土地勘测定界图中当界址点注记、界址线距离注记密集时容易产生大量压盖,人工处理工作量巨大且容易出错的问题,该文提出采用滑动模型进行注记配置自动优化,界址点注记采用圆形滑动方法,界址线注记采用垂线滑动方法,当常规注记间隔下可能无法找到合适的注记位置时,采用引线注记进行配置,确保地图的易读性,详细分析该算法的流程、实现方法及实例验证。实例表明,该算法效果良好。
Keyword ：
土地勘测定界 土地勘测定界 注记配置 注记配置 滑动模型 滑动模型 点要素注记 点要素注记
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| GB/T 7714 | 许承权 , 范千 . 滑动模型的土地勘测定界图注记配置方法 [J]. | 测绘科学 , 2021 , 46 (12) : 204-209 . |
| MLA | 许承权 et al. "滑动模型的土地勘测定界图注记配置方法" . | 测绘科学 46 . 12 (2021) : 204-209 . |
| APA | 许承权 , 范千 . 滑动模型的土地勘测定界图注记配置方法 . | 测绘科学 , 2021 , 46 (12) , 204-209 . |
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As rural building boundaries are widely used in GIS for building density calculation, landscape fragmentation and suitability evaluation, the correctness of boundary determination has an important impact on the results of these calculations and evaluations. For this reason, this paper proposes a rural building boundary search algorithm called ABTA. The ABTA method is based on a row and column search and uses only one parameter step to control the 'smoothness'of the final solution. The algorithm generates convex hulls representing the area occupied by the given buildings. It is implemented as a VBA package and is embedded in AutoCAD. The results show that the proposed algorithm can deal with arbitrary polyline sets and can accurately determine building boundaries. © 2021 ACM.
Keyword ：
Artificial intelligence Artificial intelligence Buildings Buildings Computer aided design Computer aided design Information systems Information systems Information use Information use Rural areas Rural areas Tracking (position) Tracking (position)
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| GB/T 7714 | Xu, Chengquan , Fan, Qian , Jin, Shaofei . An automatic boundary tracking algorithm for Rural Buildings Based on Row and Column Searching Method [C] . 2021 . |
| MLA | Xu, Chengquan et al. "An automatic boundary tracking algorithm for Rural Buildings Based on Row and Column Searching Method" . (2021) . |
| APA | Xu, Chengquan , Fan, Qian , Jin, Shaofei . An automatic boundary tracking algorithm for Rural Buildings Based on Row and Column Searching Method . (2021) . |
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Objectives: Considering the inaccurate separation of signal and noise of empirical mode decomposition (EMD) method and the uncertainty of independent component analysis (ICA), a new method for denoising deformation data with improved complete ensemble empirical mode decomposition (ICEEMD), independent component analysis (ICA) and minimal distortion principle (MDP) is proposed. Methods: Firstly, ICEEMD method is used to decompose the deformation monitoring data effectively, and the virtual noise signal is constructed. Secondly, ICEEMD decomposition of virtual noise is carried out to extract twice virtual noise signal which is closer to real noise. The input observation channel is composed of twice virtual noise and original deformation data and processed by ICA. Then, by calculating the correlation coefficient between the independent components and the input signal after ICA processing, the sorting uncertainty and phase uncertainty of independent components can be solved. Finally, the MDP criterion is used to effectively solve the amplitude uncertainty of independent components. Results: Through the detailed analysis of noisy simulation data and actual bridge GNSS deformation monitoring data, the results show that the proposed method has achieved good denoising effect and can effectively improve the performance of denoising. Conclusions: It also fully verified the feasibility and effectiveness of the proposed method indenoising of deformation monitoring data. © 2021, Editorial Board of Geomatics and Information Science of Wuhan University. All right reserved.
Keyword ：
Deformation Deformation Global positioning system Global positioning system Independent component analysis Independent component analysis Monitoring Monitoring Principal component analysis Principal component analysis Signal processing Signal processing Uncertainty analysis Uncertainty analysis
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| GB/T 7714 | Xu, Chengquan , Fan, Qian . Denoising Method for Deformation Monitoring Data Based on ICEEMDHICA and MDP Principle [J]. | Geomatics and Information Science of Wuhan University , 2021 , 46 (11) : 1658-1665 . |
| MLA | Xu, Chengquan et al. "Denoising Method for Deformation Monitoring Data Based on ICEEMDHICA and MDP Principle" . | Geomatics and Information Science of Wuhan University 46 . 11 (2021) : 1658-1665 . |
| APA | Xu, Chengquan , Fan, Qian . Denoising Method for Deformation Monitoring Data Based on ICEEMDHICA and MDP Principle . | Geomatics and Information Science of Wuhan University , 2021 , 46 (11) , 1658-1665 . |
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针对经验模态分解(empirical mode decomposition,EMD)方法存在信噪分离不准确的缺陷,以及独立分量分析(independent component analysis,ICA)存在不确定性的问题,提出了一种改进完备集成经验模态分解(improved complete ensemble empirical mode decomposition, ICEEMD)、ICA与最小失真准则(minimal distortion principle,MDP)相结合进行变形数据去噪的方法。首先,使用ICEEMD方法对变形监测数据进行有效分解,并以此构建虚拟噪声信号;其次,对虚拟噪声...
Keyword ：
二次虚拟噪声 二次虚拟噪声 变形监测数据去噪 变形监测数据去噪 改进完备集成经验模态分解 改进完备集成经验模态分解 最小失真准则 最小失真准则 独立分量分析 独立分量分析
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| GB/T 7714 | 许承权 , 范千 . 基于ICEEMD-ICA与MDP准则的变形监测数据去噪方法 [J]. | 武汉大学学报(信息科学版) , 2021 , 46 (11) : 1658-1665 . |
| MLA | 许承权 et al. "基于ICEEMD-ICA与MDP准则的变形监测数据去噪方法" . | 武汉大学学报(信息科学版) 46 . 11 (2021) : 1658-1665 . |
| APA | 许承权 , 范千 . 基于ICEEMD-ICA与MDP准则的变形监测数据去噪方法 . | 武汉大学学报(信息科学版) , 2021 , 46 (11) , 1658-1665 . |
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本发明涉及一种基于自适应变分模态分解的工程结构信号处理方法。包括：(1)输入原始的工程结构信号；(2)对变分模态分解方法(VMD)中的分解模态数K和惩罚因子α和进行编码；(3)根据原始信号的VMD分量的最小信息熵值建立起适应度函数；(4)利用哈里斯鹰优化算法对适应度函数进行优化，求解出最优参数组合；(5)利用所得的最优参数组合对原始信号进行变分模态分解处理；(6)输出处理后的信号，并根据实际情况进行应用。本发明方法使用的哈里斯鹰算法可以更快地找出最佳的VMD输入参数：分解模态数K和惩罚因子α，从而实现VMD对工程结构原始信号进行合理的自适应分解。
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| GB/T 7714 | 范千 , 陈振健 , 朱三凡 . 一种基于自适应变分模态分解的工程结构信号处理方法 : CN202110065539.5[P]. | 2021-01-18 . |
| MLA | 范千 et al. "一种基于自适应变分模态分解的工程结构信号处理方法" : CN202110065539.5. | 2021-01-18 . |
| APA | 范千 , 陈振健 , 朱三凡 . 一种基于自适应变分模态分解的工程结构信号处理方法 : CN202110065539.5. | 2021-01-18 . |
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