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< Page ,Total 23 >
Cyclic performance of novel strengthened CFST composite joints with circumferential gaps SCIE
期刊论文 | 2026 , 236 | JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
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Abstract :

This study investigates the cyclic performance of circular concrete-filled thin-walled steel tubular (CFST) composite joints having circumferential gaps, focusing on the reduction of steel tube thickness and novel reinforcement strategies using a CFRP-annular stiffener system. Experimental tests and finite element analysis (FEA) were conducted on four large-scale specimens to evaluate hysteretic behavior, energy dissipation, failure patterns, and interfacial interactions. Results revealed that reducing steel tube wall thickness decreased ultimate strength by 20-25%. The hybrid CFRP-annular stiffener system effectively mitigated these deficiencies, enhancing yield load capacity by 50% and cumulative energy dissipation by around 40% compared to unreinforced joints. This system redistributed stress concentrations, suppressed shear deformation, delayed buckling, and shifted failure locations from catastrophic joint-core shear failure to ductile beam flange/web fractures. Parametric FEA confirmed the system's robustness under combined adverse conditions, restoring 80% of lost load capacity relative to thicker-tube benchmarks. A predictive model quantified reinforcement efficacy, showing dependence on CFRP layers and stiffener thickness rather than steel strength. The study bridges experimental and numerical insights, proposing practical retrofitting guidelines for defective CFST structures in seismic regions.

Keyword :

Annular stiffeners Annular stiffeners CFRP wraps CFRP wraps CFST composite joints CFST composite joints Circumferential gaps Circumferential gaps Cyclic loading Cyclic loading

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GB/T 7714 Lai, Dade , Cui, Yucheng , Liao, Feiyu et al. Cyclic performance of novel strengthened CFST composite joints with circumferential gaps [J]. | JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH , 2026 , 236 .
MLA Lai, Dade et al. "Cyclic performance of novel strengthened CFST composite joints with circumferential gaps" . | JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH 236 (2026) .
APA Lai, Dade , Cui, Yucheng , Liao, Feiyu , Lu, Feng . Cyclic performance of novel strengthened CFST composite joints with circumferential gaps . | JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH , 2026 , 236 .
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基于LOMS-STFRFT高精度识别时变结构非平稳响应信号的瞬时频率
期刊论文 | 2025 , 38 (04) , 750-760 | 振动工程学报
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为提高时变结构非平稳响应信号的瞬时频率识别精度,提出一种局部优化多重同步挤压-短时分数阶傅里叶变换(locally optimized multi-synchrosqueezing-short time fractional Fourier transform,LOMS-STFRFT)。该算法对短时分数阶傅里叶变换(short time fractional Fourier transform,STFRFT)进行局部旋转参数的优化选取,通过STFRFT得到时频分布投影在分数域上的时频系数矩阵;对时频系数矩阵进行瞬时频率估计和多次迭代;采用多重同步挤压算子对时频系数矩阵进行重排并通过局部模极大值法提取瞬时频率曲线。通过一个多分量信号数值算例和一个线性时变拉索试验验证了所提方法的精确性。研究结果表明:相比传统的多重同步挤压算法,LOMS-STFRFT针对时变结构非平稳信号的瞬时频率识别效果更佳。

Keyword :

多重同步挤压变换 多重同步挤压变换 局部优化 局部优化 时变结构 时变结构 瞬时频率 瞬时频率 短时分数阶傅里叶变换 短时分数阶傅里叶变换

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GB/T 7714 刘景良 , 戴逸宸 , 郑文婷 et al. 基于LOMS-STFRFT高精度识别时变结构非平稳响应信号的瞬时频率 [J]. | 振动工程学报 , 2025 , 38 (04) : 750-760 .
MLA 刘景良 et al. "基于LOMS-STFRFT高精度识别时变结构非平稳响应信号的瞬时频率" . | 振动工程学报 38 . 04 (2025) : 750-760 .
APA 刘景良 , 戴逸宸 , 郑文婷 , 廖飞宇 . 基于LOMS-STFRFT高精度识别时变结构非平稳响应信号的瞬时频率 . | 振动工程学报 , 2025 , 38 (04) , 750-760 .
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坑槽腐蚀对钢管混凝土侧向冲击性能的影响研究
期刊论文 | 2025 , 42 (04) , 31-42 | 建筑科学与工程学报
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Abstract :

为研究侧向冲击荷载作用下坑槽腐蚀对钢管混凝土力学性能的影响,建立了考虑坑槽腐蚀后的圆钢管混凝土构件有限元模型,并完成了4根考虑坑槽腐蚀缺陷的圆钢管混凝土柱落锤侧向冲击试验,利用试验数据验证了有限元模型的可靠性。通过有限元模型对侧向冲击荷载作用下带坑槽腐蚀的钢管混凝土柱工作机理进行了研究,并分析了坑槽深度、坑槽个数、坑槽分布、腐蚀体积损失度和冲击速度等因素对钢管混凝土柱抗侧向冲击性能的影响规律。结果表明:坑槽腐蚀不仅使钢管更容易发生局部屈曲,而且削弱了钢管和混凝土之间的相互作用,使构件的抗冲击性能降低;随着坑槽深度、个数及腐蚀体积损失度的增大,构件的冲击持续时间会相应增加,而冲击力峰值、冲击力平台值会随之下降;在相同腐蚀体积损失度下,坑槽个数对钢管混凝土柱抗侧向冲击性能衰退的影响比坑槽深度更为显著,而坑槽不均匀分布情况相比于均匀分布情况会对钢管混凝土抗侧向冲击性能产生更不利的影响。

Keyword :

侧向冲击 侧向冲击 参数分析 参数分析 坑槽腐蚀 坑槽腐蚀 有限元模型 有限元模型 钢管混凝土 钢管混凝土

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GB/T 7714 黄宣凯 , 廖飞宇 , 王献挚 et al. 坑槽腐蚀对钢管混凝土侧向冲击性能的影响研究 [J]. | 建筑科学与工程学报 , 2025 , 42 (04) : 31-42 .
MLA 黄宣凯 et al. "坑槽腐蚀对钢管混凝土侧向冲击性能的影响研究" . | 建筑科学与工程学报 42 . 04 (2025) : 31-42 .
APA 黄宣凯 , 廖飞宇 , 王献挚 , 陈宇峰 . 坑槽腐蚀对钢管混凝土侧向冲击性能的影响研究 . | 建筑科学与工程学报 , 2025 , 42 (04) , 31-42 .
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一种基于计算机视觉的土木工程结构动态位移测量方法 ipsunlight
专利 | 2023-10-24 | CN202311387503.4
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本发明公开了一种基于计算机视觉的土木工程结构动态位移测量方法,首先进行相机标定,然后基于无迹卡尔曼结合时空上下文和改进光流算法的特征融合方法,时空上下文算法注重图像强度与其局部上下文间的相关性计算,用于计算结构的整像素位移;还兼顾了光流算法的亚像素级测量;再通过无迹卡尔曼滤波结合两者进行位移计算,并将计算的协方差用于下一帧的预测,提高了位移预测的准确性和稳定性。本方法能够实现在照明变化下对低纹理表面的精确位移测量,具有更高的鲁棒性。

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GB/T 7714 骆勇鹏 , 陈思昊 , 廖飞宇 . 一种基于计算机视觉的土木工程结构动态位移测量方法 : CN202311387503.4[P]. | 2023-10-24 .
MLA 骆勇鹏 et al. "一种基于计算机视觉的土木工程结构动态位移测量方法" : CN202311387503.4. | 2023-10-24 .
APA 骆勇鹏 , 陈思昊 , 廖飞宇 . 一种基于计算机视觉的土木工程结构动态位移测量方法 : CN202311387503.4. | 2023-10-24 .
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一种榫卯式钢管混凝土叠合柱段装配连接节点 ipsunlight
专利 | 2024-07-01 | CN202421537103.7
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Abstract :

本实用新型公开了一种榫卯式钢管混凝土叠合柱段装配连接节点,在现场施工时,榫头段与榫槽段已经预先浇注完成,完全避免施工现场所需要进行的焊接工作,解决现场浇筑混凝土或灌浆材料等湿作业所带来的污染,在施工现场仅需进行简单吊装拼装即可,具有施工便捷、施工效率高、不必等待混凝土硬化等优点。节点包括榫头段以及榫槽段,榫头段包括上柱段钢端板、内钢侧板以及上柱段钢榫头,装配连接节点具有可靠有效的传力机制;通过上述构造,可保证钢管混凝土叠合柱段间的装配连接节点区的剪力和轴力可以完全传递,并使节点具有足够的轴向和侧向刚度。

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GB/T 7714 廖飞宇 , 陈奕鹏 , 陈宇峰 . 一种榫卯式钢管混凝土叠合柱段装配连接节点 : CN202421537103.7[P]. | 2024-07-01 .
MLA 廖飞宇 et al. "一种榫卯式钢管混凝土叠合柱段装配连接节点" : CN202421537103.7. | 2024-07-01 .
APA 廖飞宇 , 陈奕鹏 , 陈宇峰 . 一种榫卯式钢管混凝土叠合柱段装配连接节点 : CN202421537103.7. | 2024-07-01 .
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建筑材料小构件霍普金森压杆系统三点弯曲试验装置 ipsunlight
专利 | 2024-07-02 | CN202421545213.8
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本实用新型公开了建筑材料小构件霍普金森压杆系统三点弯曲试验装置,本方案巧妙性通过三点弯曲夹头来进行托持试样,以及利用夹头的一对压头与试样接触配合,再通过霍普金森压杆系统的入射杆施加作用力,使得试样在试验时,其被约束在霍普金森压杆系统的入射杆和与透射杆连接的三点弯曲夹头之间,本方案还巧妙性通过将一对所述压头设置成可拆卸调整间距的结构形式,使得本方案装置可以通过调整一对所述压头的间距来调整对时间的加载间距,其不仅结构简单,且实施可靠、应用灵活,可以应用在建筑材料小构件的动载试验中。

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GB/T 7714 陈宇峰 , 邱豪 , 廖飞宇 et al. 建筑材料小构件霍普金森压杆系统三点弯曲试验装置 : CN202421545213.8[P]. | 2024-07-02 .
MLA 陈宇峰 et al. "建筑材料小构件霍普金森压杆系统三点弯曲试验装置" : CN202421545213.8. | 2024-07-02 .
APA 陈宇峰 , 邱豪 , 廖飞宇 , 谢超杰 , 黄建明 , 李毅鑫 et al. 建筑材料小构件霍普金森压杆系统三点弯曲试验装置 : CN202421545213.8. | 2024-07-02 .
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一种装配式蝴蝶形多腔钢管混凝土叠合结构 ipsunlight
专利 | 2024-07-01 | CN202421535120.7
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本实用新型公开了一种装配式蝴蝶形多腔钢管混凝土叠合结构,包括:蝴蝶形多腔钢管混凝土和外围钢筋混凝土,所述外围钢筋混凝土包覆于蝴蝶形多腔钢管混凝土的外围。本实用新型内置蝴蝶形多腔钢管混凝土的叠合结构,能满足机场、体育场、高铁站等大型公共建筑中树状结构的节点连接需求,而且具有刚度更大、可在截面尺寸固定的情况下对核心混凝土约束更好、装配化便捷施工等优点。

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GB/T 7714 廖飞宇 , 凃丰钦 , 陈宇峰 . 一种装配式蝴蝶形多腔钢管混凝土叠合结构 : CN202421535120.7[P]. | 2024-07-01 .
MLA 廖飞宇 et al. "一种装配式蝴蝶形多腔钢管混凝土叠合结构" : CN202421535120.7. | 2024-07-01 .
APA 廖飞宇 , 凃丰钦 , 陈宇峰 . 一种装配式蝴蝶形多腔钢管混凝土叠合结构 : CN202421535120.7. | 2024-07-01 .
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再生混凝土大构件霍普金森压杆系统三点弯曲实验装置 ipsunlight
专利 | 2024-07-02 | CN202421548764.X
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本实用新型公开了再生混凝土大构件霍普金森压杆系统三点弯曲实验装置,本方案装置巧妙性通过在机台上设置限位块,在限位块的其一侧面进一步设置一对相对设置的固定压头托架,再通过与霍普金森压杆系统的入射杆连接的活动压头对托架上的试样(活动压头和固定压头之间的试样)进行施加作用力,使得试样的三点弯曲试验不仅实施便利可靠,且本方案还在活动压头和入射杆之间通过过渡件来进一步安装力传感器,使得入射杆在施加作用力时,能够通过力传感器的反馈来及时、高效的记录试验参数。

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GB/T 7714 陈宇峰 , 邱豪 , 廖飞宇 et al. 再生混凝土大构件霍普金森压杆系统三点弯曲实验装置 : CN202421548764.X[P]. | 2024-07-02 .
MLA 陈宇峰 et al. "再生混凝土大构件霍普金森压杆系统三点弯曲实验装置" : CN202421548764.X. | 2024-07-02 .
APA 陈宇峰 , 邱豪 , 廖飞宇 , 谢超杰 , 黄建明 , 李毅鑫 et al. 再生混凝土大构件霍普金森压杆系统三点弯曲实验装置 : CN202421548764.X. | 2024-07-02 .
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Experimental performance of bamboo scrimber beam connections with slotted-in steel plate and multi-bolt under the load perpendicular to grain SCIE
期刊论文 | 2025 , 80 | STRUCTURES
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This study aims to investigate the connection behavior of bamboo scrimber beam with a slotted-in steel plate and multi-bolt under the load perpendicular to the grain. In total, 27 specimens were categorized into 9 groups with varying bolt edge distances, number of bolts, bolt end distances, and total lengths of joints. The test results demonstrate that the ratio of edge distance to row spacing and the number of bolt rows significantly influenced the cracking mode, cracking load, and ultimate load. Both the bolt end distance and the total length had minimal impact on the mechanical performance of connections, as variations in these two parameters resulted in changes of only -0.22% to 3.48% in the cracking load and -0.64% to 0.62% in the ultimate load. Furthermore, a modified Van der Put model was proposed and validated, demonstrating good performance in predicting the failure mode of multi-bolt connections. It is recommended to increase the number of bolt rows to at least three and maintain the ratio of edge distance to row spacing greater than one, in order to prevent premature failure of connections.

Keyword :

Bamboo scrimber beam Bamboo scrimber beam Experimental investigation Experimental investigation Load perpendicular to the grain Load perpendicular to the grain Multi-bolt connections Multi-bolt connections Slotted-in steel plate Slotted-in steel plate

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GB/T 7714 Luo, Shuihua , Lai, Dade , Liao, Feiyu et al. Experimental performance of bamboo scrimber beam connections with slotted-in steel plate and multi-bolt under the load perpendicular to grain [J]. | STRUCTURES , 2025 , 80 .
MLA Luo, Shuihua et al. "Experimental performance of bamboo scrimber beam connections with slotted-in steel plate and multi-bolt under the load perpendicular to grain" . | STRUCTURES 80 (2025) .
APA Luo, Shuihua , Lai, Dade , Liao, Feiyu , Yang, Yuxing , Zhang, Weijie . Experimental performance of bamboo scrimber beam connections with slotted-in steel plate and multi-bolt under the load perpendicular to grain . | STRUCTURES , 2025 , 80 .
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Detection of pine wilt disease across early, middle, and late stages using dual-scale interaction method SCIE
期刊论文 | 2025 , 46 (21) , 8106-8126 | INTERNATIONAL JOURNAL OF REMOTE SENSING
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Accurate multi-stage detection of pine wilt disease in trees is critical for effective scientific management and control. Utilizing drone-acquired RGB imagery in conjunction with deep learning techniques provides a cost-efficient approach to this challenge. However, precise detection of diseased trees across all infection stages remains challenging in complex forest ecosystems when relying exclusively on RGB imagery. We propose a Dual-Scale Interaction (DSI) method based on deep learning. The proposed adaptive method can be seamlessly integrated into Feature Pyramid Network (FPN)-based detection frameworks, significantly improving multi-class detection accuracy for pine wilt disease. In this study, we integrate the proposed method into both the YOLO series and RT-DETR models. Experimental results demonstrate that our approach enhances the original models' multi-calss detection accuracy of diseased trees. Specifically, DSI-YOLOv5 exhibits the greatest improvement with an overall accuracy increase of 13.8%, with an inference time of 22.8 ms per image, while DSI-YOLOv9 achieves the highest detection accuracy, reaching 96.4%. The method proposed in this paper significantly enhances the detection accuracy of FPN-based detection networks with only RGB images, which provides critical technological support for the precise, cost-effective, and efficient management of pine wilt disease.

Keyword :

deep learning deep learning dual-scale interaction dual-scale interaction object detection object detection Pine wilt disease Pine wilt disease UAV UAV

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GB/T 7714 Li, Jiaru , Lin, Yushun , Chen, Xin et al. Detection of pine wilt disease across early, middle, and late stages using dual-scale interaction method [J]. | INTERNATIONAL JOURNAL OF REMOTE SENSING , 2025 , 46 (21) : 8106-8126 .
MLA Li, Jiaru et al. "Detection of pine wilt disease across early, middle, and late stages using dual-scale interaction method" . | INTERNATIONAL JOURNAL OF REMOTE SENSING 46 . 21 (2025) : 8106-8126 .
APA Li, Jiaru , Lin, Yushun , Chen, Xin , Zhao, Ziyu , Liao, Feiyu . Detection of pine wilt disease across early, middle, and late stages using dual-scale interaction method . | INTERNATIONAL JOURNAL OF REMOTE SENSING , 2025 , 46 (21) , 8106-8126 .
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