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学者姓名：韩强
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摘要 ：
Structural condition perception is a crucial step in structural health monitoring (SHM). Random loss or corruption of sensing data seriously hinders the reliability of the monitoring system. This paper discusses the recovery of randomly lost data in SHM from the perspective of conditional probability generation. A novel data-driven neural semantic recovery framework is proposed, transforming data recovery into a conditional probability modeling problem. This framework uses deep fully convolutional neural networks with an encoder-decoder architecture to capture the overall semantic features of the vibration data, allowing accurate modeling of the behavior of complex conditional probability distributions. Advanced techniques such as dense connections, skip connections, and residual connections significantly improved the network's parameter utilization and recovery performance. Moreover, a novel perceptual loss function is proposed, enabling the network to integrate data loss patterns effectively. The proposed network can be trained end-to-end in a self-supervised manner and perform efficient inferences. Based on the long-term measured acceleration response under the ambient excitation of a pedestrian bridge, the recovery performance and robustness of the model are sufficiently verified and evaluated. The network exhibits excellent recovery accuracy and robustness, even if the loss ratio is as high as 90%. Preliminary evaluation results show that the proposed model can be seamlessly transferred to scenarios with continuous data loss without retraining the network. Finally, the application prospects of the framework in modal identification and anomaly monitoring of structural conditions are demonstrated.
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| GB/T 7714 | Jiang, Kejie , Han, Qiang , Du, Xiuli . Lost data neural semantic recovery framework for structural health monitoring based on deep learning [J]. | COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING , 2022 , 37 (9) : 1160-1187 . |
| MLA | Jiang, Kejie 等. "Lost data neural semantic recovery framework for structural health monitoring based on deep learning" . | COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING 37 . 9 (2022) : 1160-1187 . |
| APA | Jiang, Kejie , Han, Qiang , Du, Xiuli . Lost data neural semantic recovery framework for structural health monitoring based on deep learning . | COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING , 2022 , 37 (9) , 1160-1187 . |
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摘要 ：
Multiple vibration modes of an engineering structure might be excited by earthquake ground motions. Multiple tuned mass dampers (MTMDs) are widely used to control these multi-mode vibrations. However, in the commonly used MTMD system, the mass element in each tuned mass damper (TMD) is normally assumed to be the same. To improve the performance of MTMDs for seismic-induced vibration control, non-uniform MTMD masses are adopted in the present study to improve the mass utilization of TMD, and a location factor is proposed to determine the best location of each TMD in the MTMD system. The effectiveness of the proposed method is validated through numerical study. The results show that the proposed method effectively reduces the seismic responses of the structure induced by multiple vibration modes.
关键词 ：
multiple tuned mass dampers multiple tuned mass dampers vibration control vibration control location factor location factor non-uniformly distributed TMD mass non-uniformly distributed TMD mass seismic seismic
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| GB/T 7714 | Zhang, Xuan , Han, Qiang , Bi, Kaiming et al. An improved multi-mode seismic vibration control method using multiple tuned mass dampers [J]. | ADVANCES IN STRUCTURAL ENGINEERING , 2022 , 25 (4) : 804-819 . |
| MLA | Zhang, Xuan et al. "An improved multi-mode seismic vibration control method using multiple tuned mass dampers" . | ADVANCES IN STRUCTURAL ENGINEERING 25 . 4 (2022) : 804-819 . |
| APA | Zhang, Xuan , Han, Qiang , Bi, Kaiming , Du, Xiuli . An improved multi-mode seismic vibration control method using multiple tuned mass dampers . | ADVANCES IN STRUCTURAL ENGINEERING , 2022 , 25 (4) , 804-819 . |
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摘要 ：
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.
关键词 ：
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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摘要 ：
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.
关键词 ：
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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摘要 ：
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.
关键词 ：
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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摘要 ：
The diamond-shaped pylons have been widely used in engineering practice, due to their cost effectiveness and appealing aesthetics, particularly for the cable-stayed bridges with large clearance. However, the diamondshaped pylons have both inward and outward inclinations, which may result in complicated seismic behavior when subjected to earthquake excitations. To this end, the seismic performance of a typical diamond-shaped pylon in the transverse direction is investigated in this paper. A reduced-scale specimen of the diamondshaped pylon was tested under cyclic quasi-static load to evaluate the damage patterns and the hysteretic responses. The numerical models of the diamond-shaped pylon were developed and then verified against the experimental results. The effects of the geometric configurations, loading protocols, and stiffness of crossbeam on the seismic performance of the diamond-shaped pylon are assessed based on the numerical results of parametric studies. The test results indicate that the plastic hinges were formed at the diamond-shaped pylon legs near the middle intersections. The following parametric analyses imply that the failure modes and damage regions would be changed with the pylon shapes, stiffness of lower and middle crossbeams, and loading protocols.
关键词 ：
Diamond-shaped pylon Diamond-shaped pylon Quasi-static test Quasi-static test Numerical analysis Numerical analysis Seismic performance Seismic performance Cable-stayed bridge Cable-stayed bridge
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| GB/T 7714 | Zhang, Chao , Wen, Jianian , Han, Qiang et al. Transverse seismic response of diamond-shaped pylon in cable-stayed bridge: Experiment and analysis [J]. | ENGINEERING STRUCTURES , 2022 , 250 . |
| MLA | Zhang, Chao et al. "Transverse seismic response of diamond-shaped pylon in cable-stayed bridge: Experiment and analysis" . | ENGINEERING STRUCTURES 250 (2022) . |
| APA | Zhang, Chao , Wen, Jianian , Han, Qiang , Du, Xiuli , Lai, Zhichao , Fu, Guanghui . Transverse seismic response of diamond-shaped pylon in cable-stayed bridge: Experiment and analysis . | ENGINEERING STRUCTURES , 2022 , 250 . |
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摘要 ：
震后可恢复功能桥梁结构之摇摆桥梁研究综述
关键词 ：
摇摆桥墩 摇摆桥墩 分析模型 分析模型 抗震设计 抗震设计 可恢复功能 可恢复功能 桥梁工程 桥梁工程 综述 综述
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| GB/T 7714 | 韩强 , 贾振雷 , 周雨龙 et al. 震后可恢复功能桥梁结构之摇摆桥梁研究综述 [J]. | 韩强 , 2021 , 34 (2) : 118-133 . |
| MLA | 韩强 et al. "震后可恢复功能桥梁结构之摇摆桥梁研究综述" . | 韩强 34 . 2 (2021) : 118-133 . |
| APA | 韩强 , 贾振雷 , 周雨龙 , 杜修力 , 中国公路学报 . 震后可恢复功能桥梁结构之摇摆桥梁研究综述 . | 韩强 , 2021 , 34 (2) , 118-133 . |
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摘要 ：
为实现摇摆-自复位(Rocking Self-Centering,RSC)双层桥梁排架墩的地震损伤控制设计和震后功能快速恢复,结合外置角钢、耗能钢筋、无黏结预应力筋设计了仅上层摇摆(模型1)、仅下层摇摆(模型2)以及双层均摇摆(模型3)的3种RSC双层排架墩。同时设计了一个普通钢筋混凝土(Reinforced Concrete,RC)双层排架墩(模型4)作为参考。建立了不同排架墩的抗震数值分析模型,并结合1个RSC单层排架墩的拟静力试验结果验证了建模方法的准确性。定义了RSC双层排架墩在强震下的失效准则,分析了近断层地震动下各双层排架墩的地震反应。结果表明:与普通RC双层排架墩相比,各RSC双...
关键词 ：
桥梁 桥梁 摇摆-自复位 摇摆-自复位 失效准则 失效准则 双层排架墩 双层排架墩 抗震结构 抗震结构
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| GB/T 7714 | 孙治国 , 赵泰儀 , 韩强 et al. 摇摆-自复位双层桥梁排架墩抗震体系研究 [J]. | 振动工程学报 , 2021 , 34 (03) : 472-480 . |
| MLA | 孙治国 et al. "摇摆-自复位双层桥梁排架墩抗震体系研究" . | 振动工程学报 34 . 03 (2021) : 472-480 . |
| APA | 孙治国 , 赵泰儀 , 韩强 , 王东升 , 亓兴军 . 摇摆-自复位双层桥梁排架墩抗震体系研究 . | 振动工程学报 , 2021 , 34 (03) , 472-480 . |
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摘要 ：
基于大震不倒,且震后无需修复或者稍加修复就能恢复正常使用功能理念的可恢复功能桥梁防震结构是桥梁地震工程研究的热点之一.设置可更换构件是实现桥梁结构可恢复功能的一种有效途径,附加可更换构件可恢复功能桥梁防震结构是指:在结构适当部位设置减震装置作为可更换构件,通过牺牲可更换构件从而保护主体结构免受损伤或大幅减小损伤,震后通过更换损坏构件以恢复结构正常使用功能.对附加可更换构件的可恢复功能桥梁防震结构的研究进行了系统的梳理和总结.首先介绍了附加可更换构件的可恢复功能桥梁防震结构的设计理念;然后总结了目前国内外可更换构件的类型、附加可更换构件桥梁结构的抗震性能及其抗震设计方法的研究现状;并通过实际工程应用案例说明了附加可更换构件的可恢复功能桥梁防震结构的工程实践价值;最后探讨了附加可更换构件的可恢复功能桥梁防震结构的发展趋势.现有研究表明,附加可更换构件桥梁结构的功能可恢复性已得到了工程界的认可,但仍然需要在新材料、新构造形式的开发,系统性的试验研究以及抗震性能优化设计等方面开展深入研究.
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| GB/T 7714 | 韩强 , 董慧慧 , 王利辉 et al. 基于可更换构件的可恢复功能桥梁防震结构研究综述 [J]. | 中国公路学报 , 2021 , 34 (9) : 215-230 . |
| MLA | 韩强 et al. "基于可更换构件的可恢复功能桥梁防震结构研究综述" . | 中国公路学报 34 . 9 (2021) : 215-230 . |
| APA | 韩强 , 董慧慧 , 王利辉 , 杜修力 . 基于可更换构件的可恢复功能桥梁防震结构研究综述 . | 中国公路学报 , 2021 , 34 (9) , 215-230 . |
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摘要 ：
大震不倒,且震后无需修复或者稍加修复就能恢复正常使用功能理念的震后可恢复功能桥梁结构是桥梁地震工程研究的热点之一.同时具有控制损伤和自复位能力的摇摆结构,是实现结构可恢复功能的一种有效途径.对摇摆桥梁结构的研究历程与进展进行了较为系统的梳理和总结.首先介绍了摇摆结构的起源及其在桥梁工程的应用,然后针对摇摆桥梁结构的研发和试验研究、拟静力行为分析方法、动力行为分析模型、抗震设计方法等方面分别进行了探讨.现有研究表明:摇摆桥梁的合理构造和抗震性能得到了各国学者的试验验证,分析理论和设计方法得到不断的发展,但仍然存在一些需要解决的问题.摇摆构造需面向工程需求,研发构造简单、传力机制可靠、耐久性好的摇摆桥梁结构;动力分析理论上,现有模型没有考虑受压区高度影响,需要发展三维动力分析模型和动能折减系数确定方法,使地震作用下摇摆桥梁地震响应和真实情况相一致;缺乏考虑边界条件约束的摇摆桥梁全桥体系动力响应分析;抗震设计上,主要存在性能指标确定等问题,即在明确摇摆结构性能特征基础上,如何平衡抗震性能与经济性能.
关键词 ：
可恢复功能 可恢复功能 摇摆桥墩 摇摆桥墩 桥梁工程 桥梁工程 综述 综述 抗震设计 抗震设计 分析模型 分析模型
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| GB/T 7714 | 韩强 , 贾振雷 , 周雨龙 et al. 震后可恢复功能桥梁结构之摇摆桥梁研究综述 [J]. | 中国公路学报 , 2021 , 34 (2) : 118-133 . |
| MLA | 韩强 et al. "震后可恢复功能桥梁结构之摇摆桥梁研究综述" . | 中国公路学报 34 . 2 (2021) : 118-133 . |
| APA | 韩强 , 贾振雷 , 周雨龙 , 杜修力 . 震后可恢复功能桥梁结构之摇摆桥梁研究综述 . | 中国公路学报 , 2021 , 34 (2) , 118-133 . |
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