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学者姓名:韩强
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Abstract :
The wide application of friction isolation bearings has led to a rapid increase in the number of frictional isolated bridges. Therefore, the traditional method of seismic fragility analysis based on nonlinear time-history analysis (NLTHA) may not suitable for bridge portfolios. For this purpose, this study developed a multivariable probabilistic seismic demand model (MV-PSDM) for friction isolation bearings conditioned on the earthquake parameters (peak pulse velocity, pulse period), bearing parameters (effective radius) and pier parameters (bending stiffness, pier numbers, pier height), in which a novel formula is adopted to calculate the seismic demand and the dispersion is also estimated. This MV-PSDM can be applied to investigate the influence of various parameters (earthquake parameters, friction bearing parameters, pier parameters) on the seismic demand, sensitivity and the vulnerable range of the bearing. Finally, an efficient parametric fragility prediction method for friction isolation bearing is proposed based on the MV-PSDM, and the flow chart is also provided. In this method, only earthquake parameters, bearing parameters and pier parameters are required to obtain the seismic fragility of friction isolation bearings, which avoids the FE modeling and NLTHA.
Keyword :
Structural and pulse parameters Structural and pulse parameters Multivariable PSDM Multivariable PSDM Parametric fragility analysis Parametric fragility analysis Pulse-like GMs Pulse-like GMs Friction isolation bearing Friction isolation bearing
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GB/T 7714 | Zhong, Jian , Zhu, Yuntao , Zheng, Xianglin et al. Multivariable probabilistic seismic demand models for parametric fragility prediction of isolated bridges portfolios under pulse-like GMs [J]. | ENGINEERING STRUCTURES , 2023 , 292 . |
MLA | Zhong, Jian et al. "Multivariable probabilistic seismic demand models for parametric fragility prediction of isolated bridges portfolios under pulse-like GMs" . | ENGINEERING STRUCTURES 292 (2023) . |
APA | Zhong, Jian , Zhu, Yuntao , Zheng, Xianglin , Han, Qiang . Multivariable probabilistic seismic demand models for parametric fragility prediction of isolated bridges portfolios under pulse-like GMs . | ENGINEERING STRUCTURES , 2023 , 292 . |
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Abstract :
The socket connection has been considered to be an effective connection for accelerated bridge construction (ABC) due to its promising advantages, i.e., higher construction tolerance rate, simpler connection method, easier quality control method, and better seismic performance when the socket depth is sufficient. To further facilitate the promotion of socket connections, a novel double-column piers system with socket connection was proposed, and the prefabricated piers and adjacent elements are connected using Ultra High-Performance Concrete (UHPC) grouting. Three 1:3 scale double-column pier specimens using novel type socket connection, ordinary grouted corrugated duct connection, and cast-in-place connection, respectively, were subjected to pseudo-static tests, aimed to compare the effects of connection methods on the damage development, failure mode, strain distribution, and seismic performance of the double-column pier. The test results indicate that all three double-column piers with three different connection forms exhibit good seismic performance, with the failure mode being the fracture of the longitudinal rebars of the piers. Compared with the piers fabricated with the other two connection forms, the piers with socket connection feature less residual displacement, and the damage is mainly concentrated at the bottom of the pier. Additionally, numerical analysis models were devel-oped and validated for the socket-connected double-column piers to facilitate further research in this area.
Keyword :
Socket connection Socket connection Seismic performance Seismic performance Accelerated bridge construction Accelerated bridge construction Numerical model Numerical model Double -column piers system Double -column piers system
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GB/T 7714 | Zhang, Guangda , Su, Sibo , Han, Qiang et al. Experimental and numerical investigation of seismic performance of prefabricated double-column piers used in accelerated bridge construction [J]. | ENGINEERING STRUCTURES , 2023 , 293 . |
MLA | Zhang, Guangda et al. "Experimental and numerical investigation of seismic performance of prefabricated double-column piers used in accelerated bridge construction" . | ENGINEERING STRUCTURES 293 (2023) . |
APA | Zhang, Guangda , Su, Sibo , Han, Qiang , Xu, Kun , Li, Zhipeng , Du, Xiuli . Experimental and numerical investigation of seismic performance of prefabricated double-column piers used in accelerated bridge construction . | ENGINEERING STRUCTURES , 2023 , 293 . |
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Abstract :
为实现全预制装配式桥梁工程,满足桥梁上部结构的快速建造需求,基于超高性能混凝土(UHPC)和碳纤维增强聚合物筋(CFRP)的优越力学性能,提出基于高性能材料接缝的预制拼装桥面板。对13个试件开展静力和疲劳试验,揭示新型预制拼装桥面板的破坏形态,探明疲劳荷载作用下各力学性能指标衰减规律;提出静力作用下承载力和挠度的预测方法,建立考虑疲劳效应的改进挠度计算方法和疲劳损伤模型。试验结果表明:静力作用下,基于高性能材料接缝的预制拼装桥面板均具有理想的破坏形态,增多预埋焊接栓钉的数量和增大锚固区间距明显提高承载力;疲劳荷载作用下,桥面板的挠度、刚度和耗能随疲劳次数的发展趋势分为3个阶段:损伤快速增长阶段,损伤缓慢累积阶段和疲劳损伤破坏阶段;建立的承载力和挠度预测模型具有良好精度;提出的考虑疲劳效应的改进挠度预测方法和疲劳损伤模型,可为评估新型桥面板的挠度和疲劳损伤程度提供参考。为了充分验证接缝连接形式和分析模型的有效性,今后研究将增加试件的类型与数量。
Keyword :
预测模型 预测模型 预制拼装桥面板接缝 预制拼装桥面板接缝 超高性能混凝土 超高性能混凝土 碳纤维增强聚合物预应力筋 碳纤维增强聚合物预应力筋 静力和疲劳试验 静力和疲劳试验
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GB/T 7714 | 胡梦涵 , 韩强 , 贾振雷 et al. 基于高性能材料接缝的预制拼装桥面板力学性能 [J]. | 土木工程学报 , 2023 , 56 (07) : 69-81,91 . |
MLA | 胡梦涵 et al. "基于高性能材料接缝的预制拼装桥面板力学性能" . | 土木工程学报 56 . 07 (2023) : 69-81,91 . |
APA | 胡梦涵 , 韩强 , 贾振雷 , 杜修力 , 焦驰宇 , 龙佩恒 . 基于高性能材料接缝的预制拼装桥面板力学性能 . | 土木工程学报 , 2023 , 56 (07) , 69-81,91 . |
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Abstract :
桥梁是交通基础设施工程系统的关键工程,必须具备一定的抗震韧性,这对震后交通生命线的抢通保通和灾区重建都具有重要意义。制定合理高效的抗震韧性决策框架,是实现桥梁网络抗震韧性提升的重要途径。文章在灾害管理全周期理念的基础上,引入考虑网络连通性和流量分配的双韧性指标,提出基于地震灾害管理的桥梁网络韧性决策框架。该决策框架将管理周期划分为预防养护、应急救援与恢复使用三个阶段,在预防养护阶段,依据桥梁网络鲁棒性指标识别关键桥梁,对其进行预防性抗震加固以及资源预分配;在应急救援阶段与恢复使用阶段,基于遗传算法实现震后修复次序的优化。在此基础上,结合桥梁网络算例进行验证。研究结果表明,决策框架有效解决了资源有限条件下的桥梁网络抗震韧性提升问题,量化了预防费用与震后修复资源的分配模式对桥梁网络的韧性提升效果。
Keyword :
抗震韧性 抗震韧性 修复策略 修复策略 预防策略 预防策略 桥梁网络 桥梁网络
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GB/T 7714 | 张望欣 , 韩强 , 温佳年 et al. 基于地震灾害管理的桥梁网络韧性决策框架 [J]. | 土木工程学报 , 2023 , 56 (04) : 72-82 . |
MLA | 张望欣 et al. "基于地震灾害管理的桥梁网络韧性决策框架" . | 土木工程学报 56 . 04 (2023) : 72-82 . |
APA | 张望欣 , 韩强 , 温佳年 , 杜修力 . 基于地震灾害管理的桥梁网络韧性决策框架 . | 土木工程学报 , 2023 , 56 (04) , 72-82 . |
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Abstract :
Moving forces are one of the major loads acting on bridge decks, and moving force identification (MFI) is essential for bridge safety. However, there are two shortcomings in existing MFI methods. First, time discrete sampling for the force leads to ill-posedness in MFI. Second, identifying moving forces by means of a fixed frequency and a single type of force dictionary cannot fully and sparsely represent these forces. To address these issues, basis functions containing a trigonometric function and variable-frequency rectangular function are used to sparsely express the force, and the Duhamel integral is used to avoid ill-posed reduction of time discrete sampling for the force. A generalized discrete estimating method (GDEM) is proposed to identify moving forces. The l1-norm regularization method in a sparse solution is introduced to transform the force identification problem into an l1-norm regularization solution problem. The fast-iterative shrinkage threshold algorithm (FISTA) is used to solve the l1-norm regularization problem, and the coefficient of the basis functions is obtained by combining the Bayesian criteria to identify the force. To validate the GDEM, the single and double time-varying forces on a simply supported beam are identified by numerical simulation. The results illustrate that the GDEM can accurately identify moving forces with strong robustness and performs better than the dictionary method. The response combinations of MFI are also discussed.
Keyword :
L1-norm regularization L1-norm regularization Basis functions Basis functions Simply supported beam Simply supported beam Moving force identification (MFI) Moving force identification (MFI) Generalized discrete estimating method (GDEM) Generalized discrete estimating method (GDEM)
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GB/T 7714 | Zhou, Hai-Chao , Li, Hong-Nan , Yi, Ting-Hua et al. Generalized Discrete Estimating Method for Moving Force Identification on a Simply Supported Beam Bridge [J]. | JOURNAL OF ENGINEERING MECHANICS , 2023 , 149 (12) . |
MLA | Zhou, Hai-Chao et al. "Generalized Discrete Estimating Method for Moving Force Identification on a Simply Supported Beam Bridge" . | JOURNAL OF ENGINEERING MECHANICS 149 . 12 (2023) . |
APA | Zhou, Hai-Chao , Li, Hong-Nan , Yi, Ting-Hua , Yang, Dong-Hui , Han, Qiang . Generalized Discrete Estimating Method for Moving Force Identification on a Simply Supported Beam Bridge . | JOURNAL OF ENGINEERING MECHANICS , 2023 , 149 (12) . |
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Abstract :
为了满足多水准设防的需求,提出一种具有变滞回特性功能的新型旋转式摩擦阻尼器(VH-RF),将其应用于桥墩结构中并验证其分阶段抗震性能.首先阐述了新型阻尼器的基本构造,揭示了工作机理与变滞回原理,建立了新型阻尼器的简化分析模型.然后基于ABAQUS有限元软件建立了新型阻尼器的实体有限元模型,并根据新型阻尼器的有限元模型分析以及简化分析模型,系统地研究了新型阻尼器的滞回性能及影响规律.最后在OpenSees软件中二次开发了新型阻尼器的恢复力模型,基于新型阻尼器优良的滞回性能,将其应用于双柱式桥墩中实现结构的分阶段抗震.结果表明:①VH-RF能够在不同变形时呈现出不同的滞回特性,小变形时具有稳定的耗能能力,大变形时不仅具有耗能能力还具有优良的自复位功能,VH-RF的简化分析模型和数值模拟结果吻合良好;②通过调整VH-RF设计参数,可有效实现调节VH-RF滞回性能的目的,具有良好的性能可调节性;③在双柱式桥墩中附加VH-RF可有效实现分阶段抗震的目的,进而提升桥梁结构抗震韧性.
Keyword :
分阶段抗震 分阶段抗震 桥梁工程 桥梁工程 旋转式摩擦阻尼器 旋转式摩擦阻尼器 抗震韧性 抗震韧性 变滞回特性 变滞回特性 自复位功能 自复位功能
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GB/T 7714 | 杜修力 , 王宇迪 , 董慧慧 et al. 旋转式摩擦阻尼器滞回性能及其在多阶段抗震中的应用 [J]. | 中国公路学报 , 2023 , 36 (7) : 31-46 . |
MLA | 杜修力 et al. "旋转式摩擦阻尼器滞回性能及其在多阶段抗震中的应用" . | 中国公路学报 36 . 7 (2023) : 31-46 . |
APA | 杜修力 , 王宇迪 , 董慧慧 , 韩强 . 旋转式摩擦阻尼器滞回性能及其在多阶段抗震中的应用 . | 中国公路学报 , 2023 , 36 (7) , 31-46 . |
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Abstract :
Inerter-based dynamic vibration absorbers (IDVAs) have been theoretically studied in the vibration control of civil structures. However, experimental studies, especially studies on the nonlinearity of this mechanical device and its influence on the control efficiency of civil structures, are limited. In the present study, a ball-screw inerter aimed to control the vortex-induced vibration (VIV) of a scaled bridge model is designed and manufactured. The dynamic property of this device is examined through experiments. A nonlinear physical model is proposed to simulate this device and is incorporated into the governing equations of the bridge-TMDI (tuned mass damper inerter) system to investigate its influence on VIV control efficiency. Design suggestions on how to mitigate the influence of inerter nonlinearity are also proposed. The results indicate that the dynamic property of the ball-screw inerter depends on the magnitude of driving acceleration. With the increment of acceleration magnitude, the ball-screw inerter approaches an ideal linear inerter. Due to this acceleration-dependent property, the control efficiency of the TMDI when considering the inerter nonlinearity is worse than that of an ideal linear TMDI. By retuning the optimum design parameters of a TMDI obtained based on linear assumption, the influence of inerter nonlinearity can be compensated to some extent. In addition, for a certain designed inertance, one can choose a larger diameter of a ball screw and a larger value of lead to further reduce the influence of inerter nonlinearity. Even though this design option will reduce the mass amplification ratio of the inerter, the actual physical mass of the inerter is still ignorable as compared with the mass of the TMDI mass block.
Keyword :
Tuned mass damper inerter Tuned mass damper inerter Bridge deck Bridge deck Vortex-induced vibration Vortex-induced vibration Inerter nonlinearity Inerter nonlinearity Control efficiency Control efficiency
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GB/T 7714 | Li, Zhenchuan , Xu, Kun , Bi, Kaiming et al. Inerter Nonlinearity and Its Influence on Control Efficiency of TMDI for Suppressing Vortex-Induced Vibration of Bridges [J]. | JOURNAL OF BRIDGE ENGINEERING , 2022 , 27 (11) . |
MLA | Li, Zhenchuan et al. "Inerter Nonlinearity and Its Influence on Control Efficiency of TMDI for Suppressing Vortex-Induced Vibration of Bridges" . | JOURNAL OF BRIDGE ENGINEERING 27 . 11 (2022) . |
APA | Li, Zhenchuan , Xu, Kun , Bi, Kaiming , Han, Qiang , Du, Xiuli . Inerter Nonlinearity and Its Influence on Control Efficiency of TMDI for Suppressing Vortex-Induced Vibration of Bridges . | JOURNAL OF BRIDGE ENGINEERING , 2022 , 27 (11) . |
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Abstract :
Vision monitoring of distress has emerged as a new trend in intelligent transportation infrastructure systems, including roads and bridges. Recently, transfer learning methods and lightweight networks have been used to realize efficient distress identification without large amount of human-labor work. This paper proposed an engineering approach that integrated transfer learning with lightweight models to classify and detect concrete bridge distresses. Two datasets named Distress Dataset of Asphalt Pavement (DDAP) with 2500 asphalt pavement distresses images and Distress Dataset of Concrete Bridge (DDCB) with 906 concrete bridge distresses images were used. The lightweight models MobileNet and MobileNet-SSD were employed to conduct 6 comparative experiments for exploring the model performance with different transfer learning modes (Mode I and II) and procedures (one-step and two-step procedure) in classification and detection tasks. Based on the comparison of the results, the optimum model for two tasks was respectively recognized. For classification task, the model directly transferred specific parameters of partial convolution layers from ImageNet-based model achieved the highest accuracy of 97.8%. For detection task, the two-step transfer learning model using an intermediate transfer learning step trained by DDAP reached a mean average precision of 87.16%. The proposed approach has the application potential for practical road inspection work in intelligent transportation infrastructure maintenance.
Keyword :
Bridges Bridges transfer learning transfer learning Convolution Convolution MobileNet-SSD MobileNet-SSD Roads Roads MobileNet MobileNet distress detection distress detection Transfer learning Transfer learning Feature extraction Feature extraction Distress classification Distress classification Asphalt Asphalt Transportation Transportation
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GB/T 7714 | Hou, Yue , Shi, Hongyu , Chen, Ning et al. Vision Image Monitoring on Transportation Infrastructures: A Lightweight Transfer Learning Approach [J]. | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2022 , 24 (11) : 12888-12899 . |
MLA | Hou, Yue et al. "Vision Image Monitoring on Transportation Infrastructures: A Lightweight Transfer Learning Approach" . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 24 . 11 (2022) : 12888-12899 . |
APA | Hou, Yue , Shi, Hongyu , Chen, Ning , Liu, Zhuo , Wei, Han , Han, Qiang . Vision Image Monitoring on Transportation Infrastructures: A Lightweight Transfer Learning Approach . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2022 , 24 (11) , 12888-12899 . |
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Abstract :
Bayesian inference methods typically require a considerable amount of computation time in the calculation of forward models. This limitation restricts the application of Bayesian inference methods for the parameter identification of complex engineering problems. We propose a novel likelihood-free Bayesian inference method for structural parameter identification. An adaptive Gaussian surrogate model (GSM) was integrated with the transitional Markov chain Monte Carlo (MCMC) method for Bayesian inference. The log-likelihood function was approximated with GSM and the transitional MCMC method was used to generate the posterior distribution samples. A response reconstruction technique was combined with the likelihood-free Bayesian inference method for the parameter identification. Both numerical studies and experimental studies were conducted to verify the accuracy and efficiency of the proposed method. The results showed that the proposed method could be used to estimate the posterior probabilities of unknown structural parameters. Additionally, the proposed method was more efficient than the delayed rejection adaptive Metropolis and Gibbs sampling methods.
Keyword :
Gaussian surrogate model Gaussian surrogate model Bayesian inference Bayesian inference Condition assessment Condition assessment Damage detection Damage detection Likelihood-free inference Likelihood-free inference Response reconstruction Response reconstruction
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GB/T 7714 | Ni, Pinghe , Han, Qiang , Du, Xiuli et al. Bayesian model updating of civil structures with likelihood-free inference approach and response reconstruction technique [J]. | MECHANICAL SYSTEMS AND SIGNAL PROCESSING , 2022 , 164 . |
MLA | Ni, Pinghe et al. "Bayesian model updating of civil structures with likelihood-free inference approach and response reconstruction technique" . | MECHANICAL SYSTEMS AND SIGNAL PROCESSING 164 (2022) . |
APA | Ni, Pinghe , Han, Qiang , Du, Xiuli , Cheng, Xiaowei . Bayesian model updating of civil structures with likelihood-free inference approach and response reconstruction technique . | MECHANICAL SYSTEMS AND SIGNAL PROCESSING , 2022 , 164 . |
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Abstract :
Precast concrete deck panels (PCDPs) are gradually applied in accelerated bridge construction (ABC) to achieve the goal of the fully prefabricated bridge. The joints between PCDPs are vulnerable under complicated stress state. The mechanical properties, feasibility of construction, and durability of joints are the focus to be investigated. This study proposed an innovative joint for PCDPs with high performance materials, including ultra-high performance concrete (UHPC) and carbon fiber-reinforced polymer (CFRP). The shear behavior of the novel joint was investigated on full-scale PCDPs via the static monotonic experiment. In addition, the 3D finite element numerical models were established to study the shear behavior, failure mechanism and influencing parameters of the proposed joints in PCDPs. Furthermore, the analytical models to predict the shear capacity of the proposed joints were developed. The results show that the proposed joints exhibit more reasonable failure mode and possess superior deformation ability compared to conventional joints. The initial stress and anchorage distance of CFRP tendons have obvious effect on the shear capacity. The proposed analytical model is able to accurately evaluate the shear capacity of the high performance joints for PCDPs. This study offers a novel joint type and provides guidance for the design of PCDPs.
Keyword :
Shear performance Shear performance FE model FE model Precast bridge deck panels (PCDPs) Precast bridge deck panels (PCDPs) High performance joint High performance joint Analytical models Analytical models
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GB/T 7714 | Hu, Menghan , Jia, Zhenlei , Han, Qiang et al. Shear behavior of innovative high performance joints for precast concrete deck panels [J]. | ENGINEERING STRUCTURES , 2022 , 261 . |
MLA | Hu, Menghan et al. "Shear behavior of innovative high performance joints for precast concrete deck panels" . | ENGINEERING STRUCTURES 261 (2022) . |
APA | Hu, Menghan , Jia, Zhenlei , Han, Qiang , Ni, Yulong , Jiao, Chiyu , Long, Peiheng . Shear behavior of innovative high performance joints for precast concrete deck panels . | ENGINEERING STRUCTURES , 2022 , 261 . |
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