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学者姓名：贾俊峰
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Abstract ：
This study provides a comprehensive review of the state-of-the-art in seismic design and resilience for girder bridges with tall piers, a critical infrastructure component in mountainous and canyon regions. With the increasing complexity of topographical challenges, especially in southwest China, tall piers exceeding 40 m have become indispensable in navigating these spatial constraints. However, their significant mass distribution and high height-to-width ratios introduce complex seismic behavior, making them vulnerable to earthquake-induced damages. This study synthesizes various definitions of tall piers across seismic design codes and explores the unique seismic behavior characteristics that classify these structures as irregular. We critically evaluate the efficacy of conventional seismic ductility and isolation systems, underscored by case studies of observed damages in major earthquakes. Innovations in seismic-resistant systems, including the adoption of Concrete Filled Steel Tube (CFST) tall piers and Rocking Self-centering (RSC) systems, are highlighted for their potential to enhance the durability and recovery capabilities of girder bridges post-earthquake. Despite advancements, challenges in post-earthquake rehabilitation, theoretical frameworks, and cost-effectiveness persist, necessitating further research. This study concludes by identifying future research directions aimed at extending innovative RSC technology to girder bridges with tall piers, improving seismic performance assessments, and refining the quantification of higher-mode effects. Through a systematic review, this study aims to pave the way for further innovation and application of advanced seismic-resistant technologies in the construction of girder bridges with tall piers, enhancing their resilience against seismic threats.
Keyword ：
Seismic-resistant systems Seismic-resistant systems P -Delta effects P -Delta effects Higher-mode effects Higher-mode effects Girder bridges with tall piers Girder bridges with tall piers Seismic performance Seismic performance
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| GB/T 7714 | Jia, Junfeng , Liu, Yang , Du, Xiuli et al. Seismic behavior and resistant systems of girder bridges with tall piers: A comprehensive and state-of-the-art review [J]. | STRUCTURES , 2025 , 75 . |
| MLA | Jia, Junfeng et al. "Seismic behavior and resistant systems of girder bridges with tall piers: A comprehensive and state-of-the-art review" . | STRUCTURES 75 (2025) . |
| APA | Jia, Junfeng , Liu, Yang , Du, Xiuli , Yang, Cancan . Seismic behavior and resistant systems of girder bridges with tall piers: A comprehensive and state-of-the-art review . | STRUCTURES , 2025 , 75 . |
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Abstract ：
Ultrasonic guided wave (UGW) technique has been widely utilized in damage detection of pre-stressed steel strands. However, most of the current UGW-based methods only focus on bare strands, whereas in real projects the strands are usually pre-buried inside the structure and encapsulated by media such as concrete or grout. In this study, the effects of various grouting and tensioning factors on the propagation of UGW in grouted steel strand, as well as the effectiveness of UGW energy leakage ratio (alpha EL)-based pre-stress evaluation for grouted steel strand, were investigated. Firstly, the theoretical model of UGW propagating in the grouted steel strand was developed. Secondly, a finite element model of grouted strand was established to investigate the dispersion characteristic of UGW as well as the energy distribution and attenuation behavior of UGW in the grout. Thirdly, pre-stressed concrete (PSC) specimens with different grouting diameters, grouting lengths, and tension forces were designed to investigate the effects of grouting thickness, grouting length, and tension force on the group velocity, energy distribution and alpha EL of UGW. Finally, the alpha EL-based approach was validated in pre-stress evaluation for grouted steel strand, and the evaluation accuracy was compared with that for bare steel strand. Results show that compared with the helical wire excitation scenario, the UGW signals propagating in steel strands are significantly less affected by variations in grouting thickness and grouting length under core wire excitation scenario. In the grout, the UGW energy tends to decrease exponentially with the increase of the radial propagation distance, and the helical wire excitation scenario leads to more UGW energy leaking into the grout compared with core wire excitation. It is recommended to excite UGW signal in the core wire instead of the helical wire in alpha EL-based pre-stress evaluation approach for grouted steel strand, in such scenario, the evaluation error is only 4.93 %.
Keyword ：
Energy leakage Energy leakage Ultrasonic guided wave Ultrasonic guided wave Grout Grout Pre-stressed steel strand Pre-stressed steel strand
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| GB/T 7714 | Zhang, Longguan , Jia, Junfeng , Bai, Yulei et al. UGW-based pre-stress evaluation and investigation of influencing factors for grouted steel strand [J]. | CONSTRUCTION AND BUILDING MATERIALS , 2025 , 463 . |
| MLA | Zhang, Longguan et al. "UGW-based pre-stress evaluation and investigation of influencing factors for grouted steel strand" . | CONSTRUCTION AND BUILDING MATERIALS 463 (2025) . |
| APA | Zhang, Longguan , Jia, Junfeng , Bai, Yulei , Du, Xiuli . UGW-based pre-stress evaluation and investigation of influencing factors for grouted steel strand . | CONSTRUCTION AND BUILDING MATERIALS , 2025 , 463 . |
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Abstract ：
Highway bridges supported by the unbonded laminated rubber bearings (ULRBs) are critical components of the transportation infrastructure systems. Accurate and efficient assessment of damage states and seismic response prediction for individual bridges at regional scale is essential for evaluating seismic vulnerability and enhancing infrastructure resilience. However, such assessments are typically resource-intensive, requiring significant labor, time, and computational power. This study introduces an approach based on machine learning (ML) algorithms to develop predictive models for rapid damage states assessment and seismic response prediction, incorporating various types of input data. The ML includes five ensemble learning algorithms and three deep neural networks (DNNs), notably TabNet, a novel architecture optimized for tabular data processing. Using a comprehensive dataset generated through nonlinear time-history analyses (NTHA) of 120 ULRB-supported highway bridges subjected to 320 ground motions, a total of 38,400 data samples were obtained for model training and evaluation. Results demonstrate that TabNet outperformed other models in predicting damage states, achieving accuracies of 93.6 % and 90.5 % across two test sets. For predicting the displacement of ULRBs, CatBoost demonstrated superior performance, achieving R2 values of 0.949 and 0.905 for the two test sets. Furthermore, model interpretability was enhanced using SHAP analysis, which identified the ULRB friction coefficient, elastic stiffness, and spectral accelerations at 0.8 s and 1.0 s as key predictors for bridge damage states and seismic response. This study represents the first attempt to apply TabNet for damage assessment and response prediction in highway bridges. The results provide a valuable reference for applying ML techniques to evaluation of highway bridge performance under earthquake events.
Keyword ：
Seismic isolation bridges Seismic isolation bridges Seismic damage states assessment Seismic damage states assessment TabNet TabNet Seismic response prediction Seismic response prediction Deep neural network Deep neural network Machine learning Machine learning Ensemble learning Ensemble learning
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| GB/T 7714 | Gu, Ranxing , Jia, Junfeng , Bian, Jiachen et al. Machine learning-based rapid damage states assessment and seismic response prediction of highway bridges supported by unbonded laminated rubber bearing [J]. | STRUCTURES , 2025 , 75 . |
| MLA | Gu, Ranxing et al. "Machine learning-based rapid damage states assessment and seismic response prediction of highway bridges supported by unbonded laminated rubber bearing" . | STRUCTURES 75 (2025) . |
| APA | Gu, Ranxing , Jia, Junfeng , Bian, Jiachen , Guo, Tong . Machine learning-based rapid damage states assessment and seismic response prediction of highway bridges supported by unbonded laminated rubber bearing . | STRUCTURES , 2025 , 75 . |
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Abstract ：
Precast segmental bridge columns are commonly used but merely in low-seismicity areas, since their seismic performance is not clear under actual earthquake motions. To evaluate the feasibility of precast segmental columns in high-seismicity areas, it is necessary to investigate the dynamic behavior of such columns under bidirectional seismic excitation owing to multi-dimension characteristics of earthquake ground motions. Two 1/ 10-scaled columns with continuous low-carbonated rebars between segments were designed and reinforced with ultra-high-performance concrete (UHPC) based on a proposed design method. Then, shake table tests of reinforced columns were conducted to investigate the influence of types of seismic motions (near-filed and far-field) and loading direction (unidirectional and bidirectional) on dynamic responses of precast columns. The experimental results showed that minor concrete damage occurred in the bottom segment, and 0.2 % residual displacement was found, which indicated the column had an excellent re-centering capacity. Compared with the column under unidirectional seismic excitation, the column subjected to bidirectional seismic excitations had more serious concrete damage, more obvious fundamental frequency reduction, and larger displacement responses at the column top, residual displacement, and peak stress of tendons. The displacement of the column top under bidirectional loads was twice that under unidirectional loads. In addition, the response of the column under near-field earthquake motions was more significant than that of the column under far-field seismic excitations.
Keyword ：
Near-field and far-field seismic excitations Near-field and far-field seismic excitations Dynamic response Dynamic response Shake table test Shake table test Seismic performance Seismic performance Precast segmental bridge column Precast segmental bridge column Bidirectional earthquake motions Bidirectional earthquake motions
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| GB/T 7714 | Zhang, Kaidi , Jia, Junfeng , Du, Xiuli et al. Shake table tests of prestressed precast segmental bridge columns under bidirectional earthquake motions [J]. | STRUCTURES , 2025 , 73 . |
| MLA | Zhang, Kaidi et al. "Shake table tests of prestressed precast segmental bridge columns under bidirectional earthquake motions" . | STRUCTURES 73 (2025) . |
| APA | Zhang, Kaidi , Jia, Junfeng , Du, Xiuli , Yan, Xingfei , Xu, Zigang . Shake table tests of prestressed precast segmental bridge columns under bidirectional earthquake motions . | STRUCTURES , 2025 , 73 . |
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Abstract ：
Compared with precast bent caps, high-performance precast bent caps are shorter and lighter, a well-designed precast bent cap can improve the construction rate, and guarantee an acceptable shear resistance capacity. Therefore, an ultra-high-performance concrete (UHPC) with a thin-walled hollow bent cap suitable for short and medium spans was designed, and its mechanical performance was studied. Firstly, a UHPC bent cap model with a scale ratio of 1:3 was cast and used in a 4-point loading test, and its crack propagation pattern, shear resistance capacity, and failure mode of the bent cap were revealed. Then, based on an ABAQUS finite element model verified by the experimental results, the influence of various design parameters on the shear performance of the UHPC bent cap was fully investigated, including longitudinal reinforcement ratio, stirrup ratio, web width, bottom thickness, and the thickness of the top and bottom plates. Finally, a prediction formula of shear bearing capacity suitable for different cross-section types was developed based on the truss-arch model. The results indicated that the bridging effect of steel fibers and diaphragm cloud restrained the generation and extension of cracks during the loading process, thus the UHPC bent cap showed good deformability and shear-resistant capacity. Besides, the shear resistance capacity was improved by the increasing longitudinal reinforcement ratio, stirrup ratio, web width, and the thickness of the top and bottom plates. The accuracy and generalization ability of the established formula was validated by comparing the predicted results with the experimental results derived from this paper and relevant studies. The research can facilitate the application of UHPC and structure lightweight technology in bridge engineering.
Keyword ：
truss-arch model truss-arch model static test static test lightweight bent cap lightweight bent cap UHPC UHPC bridge engineering bridge engineering
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| GB/T 7714 | Lv, Wenshu , Jia, Junfeng , Yao, Xiaofei et al. Experimental study on shear bearing capacity of Ultra-high performance concrete bent cap with thin-walled hollow section [J]. | STRUCTURAL CONCRETE , 2025 . |
| MLA | Lv, Wenshu et al. "Experimental study on shear bearing capacity of Ultra-high performance concrete bent cap with thin-walled hollow section" . | STRUCTURAL CONCRETE (2025) . |
| APA | Lv, Wenshu , Jia, Junfeng , Yao, Xiaofei , Zhang, Kaidi , Gu, Ranxing , Lai, Menggang . Experimental study on shear bearing capacity of Ultra-high performance concrete bent cap with thin-walled hollow section . | STRUCTURAL CONCRETE , 2025 . |
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Abstract ：
Over the past decade or so, ultra-high performance concrete (UHPC) has been increasingly used for wet joints of bridge deck panels (BDPs) in bridge superstructures. To evaluate the flexural performance of UHPC wet joints for precast bridge deck panels, a total of seven BDPs were designed, including one monolithic cast-in-place bridge deck panel (MCIPBDP), one precast bridge deck panel (PBDP) with NC wet joints, and five precast bridge deck panels (PBDPs) with UHPC wet joints. The design parameters included reinforcement types (straight bars and Ubars), U-bar lap details (contact lap splice and non-contact lap splice), filling materials (UHPC and NC), and joint widths (150 mm, 200 mm, 250 mm, and 500 mm). Three-point bending tests were performed to evaluate the flexural performance based on the failure mode, load-deflection curve, cracking width in the wet joint region, and stiffness degradation. The experimental results showed that it is feasible to replace 500-mm-width NC wet joints with 200-mm-width UHPC wet joints for PBDPs with U-bars. UHPC wet joints, with a width of 250 mm, effectively prevented straight bars from slipping. As the width of UHPC wet joints decreased, the failure mode shifted from shear failure to bending failure. In addition, the cohesion-friction hybrid model was proposed to simulate the behavior of joint interfaces. The FE analysis results demonstrated that the FE model and modeling method have high accuracy and general applicability. Finally, the flexural capacity calculation formula was developed according to the strut-and-tie model. The theoretical calculation results were in good agreement with test results.
Keyword ：
Precast bridge deck panel Precast bridge deck panel Finite element analysis Finite element analysis Wet joint Wet joint Ultra-high performance concrete (UHPC) Ultra-high performance concrete (UHPC) Three-point bending test Three-point bending test
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| GB/T 7714 | Jia, Junfeng , Ren, Zhangdi , Li, Jian et al. Flexural behavior of UHPC wet joints for precast bridge deck panels [J]. | STRUCTURES , 2024 , 70 . |
| MLA | Jia, Junfeng et al. "Flexural behavior of UHPC wet joints for precast bridge deck panels" . | STRUCTURES 70 (2024) . |
| APA | Jia, Junfeng , Ren, Zhangdi , Li, Jian , Li, Bin , Yan, Xingfei , Wang, Yuguo et al. Flexural behavior of UHPC wet joints for precast bridge deck panels . | STRUCTURES , 2024 , 70 . |
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Abstract ：
Ultra-high performance concrete (UHPC) has been widely used in wet joints of precast bridge deck panels (PBDPs) due to its remarkable compressive strength, excellent tensile strength, and exceptional durability properties. However, there is a lack of consistent understanding regarding the mechanical properties of PBDPs with UHPC wet joints, especially shear behavior. To investigate the shear performance of PBDPs with UHPC wet joints, a total of seven bridge deck panels (BDPs) were designed and conducted by four-point bending tests. The test parameters included reinforcement types (straight bar and U-bar), lap details (contact lap and non-contact lap), joint widths (150 mm, 200 mm, 250 mm, and 500 mm), and filling materials (NC and UHPC). According to the test results, the shear behavior of seven BDPs was analyzed. The experiment results showed that all specimens exhibited shear failure, with critical shear cracks occurring in the shear span. For PBDPs with U-bars, the shear capacity of 200-mm-wide UHPC wet joints was 1.5 % higher than that of 500-mm-wide NC wet joints. In addition, the failure pattern had a tendency to gradually shift from shear failure to flexural failure when the width of UHPC wet joints was reduced from 250 mm to 150 mm. To establish 3D finite element (FE) models, a cohesion-friction hybrid model was proposed. The FE models had good simulation accuracy, with a maximum deviation of 7.0 %. Furthermore, a parametric analysis was performed to assess the influence of critical parameters on shear performance. The results showed that longitudinal reinforcement has a greater influence on the shear performance of PBDPs. Finally, shear capacity formulas in the design codes were verified in comparison with test results. The deviation of theoretically calculated values from test results was within 10 %.
Keyword ：
UHPC wet joint UHPC wet joint Shear behavior Shear behavior Precast bridge deck panel Precast bridge deck panel Cohesion-friction hybrid model Cohesion-friction hybrid model Four -point bending test Four -point bending test Shear capacity Shear capacity
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| GB/T 7714 | Ren, Zhangdi , Jia, Junfeng , Li, Jian et al. Shear behavior of precast bridge deck panels with UHPC wet joints [J]. | ENGINEERING STRUCTURES , 2024 , 316 . |
| MLA | Ren, Zhangdi et al. "Shear behavior of precast bridge deck panels with UHPC wet joints" . | ENGINEERING STRUCTURES 316 (2024) . |
| APA | Ren, Zhangdi , Jia, Junfeng , Li, Jian , Hu, Menghan , Li, Bin , Han, Qiang et al. Shear behavior of precast bridge deck panels with UHPC wet joints . | ENGINEERING STRUCTURES , 2024 , 316 . |
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Abstract ：
超长、超重预制盖梁对运输和吊装设备提出了更高的要求，阻碍了全装配式桥梁技术的发展和工程推广，成为当前亟待解决的关键难题。发展结构合理的轻型化、高性能装配式盖梁是解决上述问题的可选方案，值得关注。首先，系统梳理了轻型化盖梁的关键技术及典型工程应用；其次，详细论述了轻型化盖梁的力学性能研究进展，阐明了轻型化盖梁的未来研究方向；最后，归纳了轻型化盖梁的抗剪、抗弯承载力计算方法和流程。研究结果表明：当预制模壳与核心混凝土粘结强度较高时，预制模壳盖梁的力学性能和破坏模式与现浇盖梁相近；UHPC空心薄壁盖梁具有较强的抗剪、抗裂性能。然而，推广轻型化盖梁仍面临着轻型盖梁内模固定及拆模、设计施工技术标准制定、轻型化盖梁-桥墩节点可靠连接及其抗震性能等问题，这些问题亟需完善和突破。
Keyword ：
空心盖梁 空心盖梁 轻型化盖梁 轻型化盖梁 抗弯承载力 抗弯承载力 抗剪承载力 抗剪承载力 组合盖梁 组合盖梁
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| GB/T 7714 | 刘慈军 , 霍龙飞 , 贾俊峰 et al. 轻型化装配式盖梁构造设计与计算方法研究进展 [J]. | 市政技术 , 2023 , 41 (12) : 1-11 . |
| MLA | 刘慈军 et al. "轻型化装配式盖梁构造设计与计算方法研究进展" . | 市政技术 41 . 12 (2023) : 1-11 . |
| APA | 刘慈军 , 霍龙飞 , 贾俊峰 , 刘浩 , 方春平 , 吕文舒 . 轻型化装配式盖梁构造设计与计算方法研究进展 . | 市政技术 , 2023 , 41 (12) , 1-11 . |
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Abstract ：
The vibration signal analysis-based structural health monitoring (SHM) system has been widely used for bridge condition identification. With the development of artificial intelligence (AI), machine learning (ML) has made numerous breakthroughs in the detection of civil engineering structures. However, conventional data-driven ML methods heavily rely on prior knowledge for their performance. This paper proposes a deep learning (DL) model 1DCNN-BiLSTM for detecting small local structural changes of reinforced concrete (RC) beams, which applies the structure of the Inception module in GoogLeNet to one-dimensional convolution neural networks (1DCNNs) for feature extraction at different scales, and combines the advantages of bidirectional long shortterm memory (BiLSTM) modules for processing long time-series data. Firstly, a three-dimensional numerical model of the RC beam was established using finite element software, and the accuracy of the numerical model was verified by comparing it with the test results. Based on the numerical model, tests on RC beams impacted by falling hammers were carried out, and the acceleration signals of the beam in different states were collected as a dataset. The proposed DL model can automatically extract the spatial and temporal domain features in the signals, accurately identify the location of small bridge local variations, the accuracy in the test set is 98.8% compared to 92.6% for a traditional ML model, and has better noise immunity performance and robustness to the missing data than the traditional ML model. Finally, the internal inference process of the model was explored and visualized, illustrating that the model has adaptive learning capabilities.
Keyword ：
Deep learning Deep learning Reinforced concrete beam Reinforced concrete beam Convolutional neural networks Convolutional neural networks Vibration signals Vibration signals Structural health monitoring Structural health monitoring Recurrent neural networks Recurrent neural networks
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| GB/T 7714 | Chen, Xize , Jia, Junfeng , Yang, Jie et al. A vibration-based 1DCNN-BiLSTM model for structural state recognition of RC beams [J]. | MECHANICAL SYSTEMS AND SIGNAL PROCESSING , 2023 , 203 . |
| MLA | Chen, Xize et al. "A vibration-based 1DCNN-BiLSTM model for structural state recognition of RC beams" . | MECHANICAL SYSTEMS AND SIGNAL PROCESSING 203 (2023) . |
| APA | Chen, Xize , Jia, Junfeng , Yang, Jie , Bai, Yulei , Du, Xiuli . A vibration-based 1DCNN-BiLSTM model for structural state recognition of RC beams . | MECHANICAL SYSTEMS AND SIGNAL PROCESSING , 2023 , 203 . |
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Abstract ：
This paper investigates the cyclic behavior of a steel self-centering (SC) rocking column. The steel SC rocking column consists of an H-section steel column and a pair of shape memory alloy (SMA) slip-friction dampers (SMASFDs). As the kernel part, the SMASFDs enhance SC capability of the rocking column and dissipate the input energy. The working principle of the rocking column is first described, along with the analytical equations that govern the behavior under loading cycles, which are validated by experimental data. The component tests were conducted on the NiTi SMA bar and the slip-friction mechanism, separately. And then, the cyclic loading tests were conducted on a 1:2-scaled rocking column specimen. The considered axial force ratio included 0, 0.1 and 0.2. During the entire experimental procedure, the SMA bars were neither repaired nor replaced. It is found that up to a drift ratio of 7 %, the rocking column maintained stable flag-shaped hysteresis, which is characterized by excellent SC capability and satisfactory damping capacity. The testing results also indicated that increasing axial force ratio effectively increased the strength and stiffness of the rocking column, whereas it reduced the post -decompression stiffness due to the P-Delta effect. Finally, the numerical models were established in ABAQUS and OpenSees, both of which were verified by the experimental data, and a parametric study was carried out.
Keyword ：
Shape memory alloy (SMA) Shape memory alloy (SMA) Experimental test Experimental test Rocking column Rocking column
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| GB/T 7714 | Qiu, Canxing , Liu, Jiawang , Jiang, Tianyuan et al. Experimental study on a steel self-centering rocking column with SMA slip friction dampers [J]. | ENGINEERING STRUCTURES , 2023 , 274 . |
| MLA | Qiu, Canxing et al. "Experimental study on a steel self-centering rocking column with SMA slip friction dampers" . | ENGINEERING STRUCTURES 274 (2023) . |
| APA | Qiu, Canxing , Liu, Jiawang , Jiang, Tianyuan , Jia, Junfeng , Du, Xiuli . Experimental study on a steel self-centering rocking column with SMA slip friction dampers . | ENGINEERING STRUCTURES , 2023 , 274 . |
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