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学者姓名：贾俊峰
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摘要 ：
Ultra-High performance concrete (UHPC) has garnered considerable attention in the construction industry due to its exceptional mechanical properties and durability. In the design of UHPC beams, accurately predicting shear strength is crucial. Inspired by the dense blocks in DenseNet, this paper proposes a novel neural network for predicting the shear strength of UHPC beams. A comprehensive database of UHPC beams was initially established through extensive literature data collection, amassing 619 experimental data samples. Preprocessing was subsequently conducted using mahalanobis distance (DM) to eliminate outliers. Subsequently, the database underwent detailed parameter analysis. In practical testing, the novel neural network model exhibited superior accuracy in predicting the shear strength of UHPC beams, surpassing traditional machine learning (ML) models and empirical formulas. Furthermore, it demonstrated excellent generalization capabilities, achieving an R2 value of 0.988 in the training set and 0.964 in the test set. The study introduced the shapley additive explanations (SHAP) method to conduct global and local interpretability analysis of the network model, demonstrating the contributions of each input parameter to the model predictions. Finally, based on this network model, a graphical user interface (GUI) was developed for researchers engaged in UHPC beam design, enabling users to easily input relevant parameters and obtain shear strength predictions. The findings of this study are expected to promote the application of ML models in predicting the complex nonlinear behavior of UHPC structures, providing strong support for engineering practice.
关键词 ：
UHPC UHPC Construction engineering Construction engineering Machine learning Machine learning Shapley additive explanations Shapley additive explanations Shear strength Shear strength Neural network Neural network
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| GB/T 7714 | Lv, Wenshu , Jia, Junfeng , Chen, Xize et al. Predicting shear strength in UHPC beams through an innovative neural network with SHAP interpretation [J]. | CASE STUDIES IN CONSTRUCTION MATERIALS , 2024 , 20 . |
| MLA | Lv, Wenshu et al. "Predicting shear strength in UHPC beams through an innovative neural network with SHAP interpretation" . | CASE STUDIES IN CONSTRUCTION MATERIALS 20 (2024) . |
| APA | Lv, Wenshu , Jia, Junfeng , Chen, Xize , Yao, Xiaofei , Bai, Yulei . Predicting shear strength in UHPC beams through an innovative neural network with SHAP interpretation . | CASE STUDIES IN CONSTRUCTION MATERIALS , 2024 , 20 . |
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摘要 ：
The accurate assessment of the effective pre-stress in steel strands is a challenging task, and ultrasonic guided wave (UGW) technique has shown certain application prospects in this field. However, the existing UGW-based approaches require manual parameter extraction from signals in time domain or frequency domain, which is a cumbersome and time-consuming process, and pre-stress identification based on individual parameters may not be reasonable. This study proposes a framework for identifying effective pre-stress in steel strands based on UGW and one-dimensional convolutional neural network (1D-CNN), which does not require any parameter extraction operation and achieves high identification accuracy. The output features of various convolutional layers in 1D-CNN were downscaled and visualized, and the prediction results of 1D-CNN were compared with those of a support vector regression (SVR) model. Results show that with the deepening of the network, the correlation between output features of the convolutional layers and pre-stress values increases significantly, indicating that the 1D-CNN model is able to automatically extract features related to the variation of pre-stress. The pre-stress prediction accuracy using 1D-CNN is significantly higher than that using SVR, and the prediction error is within 3%. The proposed 1D-CNN model exhibits excellent noise-robustness, with the prediction error remaining within 10% even at the SNR level of -5 dB. Even after removing half of conditions in the training set, the proposed 1D-CNN model is still able to achieve accurate identification of effective pre-stress.
关键词 ：
steel strand steel strand 1D-CNN 1D-CNN feature visualization feature visualization pre-stress pre-stress ultrasonic guided wave ultrasonic guided wave SHM SHM
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| GB/T 7714 | Zhang, Longguan , Jia, Junfeng , Bai, Yulei et al. Effective pre-stress identification in steel strand based on ultrasonic guided wave and 1-dimensional convolutional neural network [J]. | STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL , 2024 . |
| MLA | Zhang, Longguan et al. "Effective pre-stress identification in steel strand based on ultrasonic guided wave and 1-dimensional convolutional neural network" . | STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2024) . |
| APA | Zhang, Longguan , Jia, Junfeng , Bai, Yulei , Du, Xiuli , Guo, Binli , Guo, He . Effective pre-stress identification in steel strand based on ultrasonic guided wave and 1-dimensional convolutional neural network . | STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL , 2024 . |
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摘要 ：
Steel strands serve as the key load-bearing components of pre-stressed bridges, yet the identification of effective pre-stress for steel strands is a challenging task. In this study, a time and frequency adaptive fusion input-one dimensional convolutional neural network-long short-term memory (TFAFI-1DCNN-LSTM) framework was proposed for ultrasonic guided wave (UGW)based effective pre-stress identification of steel strands. In this framework, the time and frequency domain signals of UGW were input into the network as two parallel branches, CNN and LSTM were utilized to extract spatial and serial-related features, and a trainable weight coefficient was introduced for adaptive fusion of time and frequency domain features. Firstly, ablation studies were conducted to investigate the influence of each key component in the proposed framework on the prediction results. Secondly, deep learning (DL) models of Res Net, Dense Net and Inception Net were introduced as comparisons, and the prediction results based on TFAFI-1DCNN-LSTM were compared with those based on the above DL models. Thirdly, the noise-robustness and performance under a few trainable samples of TFAFI-1DCNN-LSTM were also investigated. Finally, the outputs of various key layers of the proposed framework were subjected to dimensionality reduction and visualization to provide an intuitive demonstration of the feature extraction process, and the inherent mechanisms of the proposed framework were interpreted using local interpretable model-agnostic explanations (LIME). Results show that the architecture of TFAFI-1DCNN-LSTM is reasonably designed and all key components are necessary. The weights of features in time and frequency domain branches are rationally assigned due to the addition of an adaptive weight coefficient. Compared with other DL models, the proposed TFAFI-1DCNNLSTM exhibits higher pre-stress identification accuracy, excellent noise-robustness, and superior performance under only a few trainable samples. The correlation between features extracted by the network and the pre-stress labels significantly increases with the deepening of the network, and the correlation between input UGW signals and predicted pre-stress values is effectively interpreted utilizing LIME, proving that the architecture of the proposed framework is reasonable and effective, the predicted results are reliable and credible.
关键词 ：
Ultrasonic guided wave Ultrasonic guided wave LSTM LSTM 1DCNN 1DCNN Interpretable model Interpretable model Pre-stress Pre-stress Adaptive feature fusion Adaptive feature fusion Steel strand Steel strand
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| GB/T 7714 | Zhang, Longguan , Jia, Junfeng , Bai, Yulei et al. An interpretable TFAFI-1DCNN-LSTM framework for UGW-based pre-stress identification of steel strands [J]. | MECHANICAL SYSTEMS AND SIGNAL PROCESSING , 2024 , 222 . |
| MLA | Zhang, Longguan et al. "An interpretable TFAFI-1DCNN-LSTM framework for UGW-based pre-stress identification of steel strands" . | MECHANICAL SYSTEMS AND SIGNAL PROCESSING 222 (2024) . |
| APA | Zhang, Longguan , Jia, Junfeng , Bai, Yulei , Du, Xiuli , Guo, Binli , Guo, He . An interpretable TFAFI-1DCNN-LSTM framework for UGW-based pre-stress identification of steel strands . | MECHANICAL SYSTEMS AND SIGNAL PROCESSING , 2024 , 222 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
Accurate prediction of the effective pre-stress in steel strands is of great importance for service performance assessment in pre-stressed structures. In this study, a new parameter for characterizing the pre-stress in steel strand is proposed, named energy leakage ratio (alpha EL) of ultrasonic guided wave (UGW). Firstly, the propagation of UGW between wires of the strand was theoretically analyzed. Then, finite element (FE) models of steel strand were established and laboratory experiments were conducted to verify the effectiveness and accuracy of the proposed alpha EL-based pre-stress evaluation approach. Results show that alpha EL increases linearly with inter-wire contact width. alpha EL can be taken as a new parameter for strand pre-stress identification, it shows a high linear correlation with pre-stress level, no matter whether the excitation position is located in core or helical wire. In terms of numerical and experimental results, the alpha EL-based pre-stress evaluation errors are within 3% and 4% respectively. Compared with the acoustoelastic effect based and nonlinear ultrasonic based approaches, the alpha ELbased approach showed the advantage in pre-stress identification accuracy.
关键词 ：
Energy leakage Energy leakage Steel strand Steel strand Ultrasonic guided wave Ultrasonic guided wave Pre-stress Pre-stress Inter-wire contact Inter-wire contact
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| GB/T 7714 | Zhang, Longguan , Jia, Junfeng , Bai, Yulei et al. Pre-stress evaluation for steel strand based on energy leakage ratio of ultrasonic guided wave [J]. | MEASUREMENT , 2024 , 233 . |
| MLA | Zhang, Longguan et al. "Pre-stress evaluation for steel strand based on energy leakage ratio of ultrasonic guided wave" . | MEASUREMENT 233 (2024) . |
| APA | Zhang, Longguan , Jia, Junfeng , Bai, Yulei , Du, Xiuli , Guo, Binli , Guo, He . Pre-stress evaluation for steel strand based on energy leakage ratio of ultrasonic guided wave . | MEASUREMENT , 2024 , 233 . |
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摘要 ：
The long-term operating structural health monitoring (SHM) system generates massive monitoring data, whose transmission and storage are challenging tasks. To address this issue, this study proposed an improved grey wolf optimizer-orthogonal matching pursuit (IGWO-OMP) algorithm for SHM data compression and reconstruction. The effectiveness of the proposed algorithm was validated using four SHM datasets including ultrasonic guided wave (UGW), acceleration, and audio signals. Firstly, the optimization results of IGWO were compared with those of other classical algorithms to verify its superiority in reconstruction accuracy. Secondly, the reconstruction accuracy under various compression factors was investigated and the optimal compression factor was determined. Finally, the relationship between reconstruction accuracy and signal sparsity as well as the performance of IGWO-OMP in dealing with noise-containing signals were discussed. The results demonstrate the generalizability and excellent noise robustness of IGWO-OMP in SHM data compression and reconstruction. Compared with other optimization algorithms, IGWO exhibits the best global optimal solution searching ability and obtains the reconstructed signal closest to the original one. Comprehensively considering the compressed signal length, reconstruction accuracy and computational efficiency, the optimal compression factor is suggested to be 0.2. In IGWO-OMP, the signal reconstruction accuracy is related to its sparsity, the variation of the CCD index for the reconstructed signal with relative sparsity follows an exponential growth relationship.
关键词 ：
Compressive sensing Compressive sensing Signal reconstruction Signal reconstruction Orthogonal matching pursuit Orthogonal matching pursuit Structural health monitoring Structural health monitoring Improved grey wolf optimizer Improved grey wolf optimizer
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| GB/T 7714 | Zhang, Longguan , Jia, Junfeng , Bai, Yulei et al. SHM data compression and reconstruction based on IGWO-OMP algorithm [J]. | ENGINEERING STRUCTURES , 2024 , 314 . |
| MLA | Zhang, Longguan et al. "SHM data compression and reconstruction based on IGWO-OMP algorithm" . | ENGINEERING STRUCTURES 314 (2024) . |
| APA | Zhang, Longguan , Jia, Junfeng , Bai, Yulei , Du, Xiuli , Lin, Ping , Guo, He . SHM data compression and reconstruction based on IGWO-OMP algorithm . | ENGINEERING STRUCTURES , 2024 , 314 . |
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摘要 ：
To enhance the lateral bearing capacity and resilience of precast segmented bridge piers (PSBPs), a novel inner column (IC) socket connection at the bottom of the pier was proposed. The performance of the joint of the precast column and footing block determines the lateral bearing capacity of the pier and the bridge. Therefore, the joint adopts high-performance concrete (HPC) and engineered cementation composite (ECC) ICs. The cyclic performance of IC socket connection under pseudo -static tests with constant vertical loading was investigated. Numerical models against four bridge pier -tested specimens cited in the references were developed utilizing the OpenSees platform and ABAQUS software to verify modeling accuracy. Accordingly, three piers, two PSBPs with varying IC materials, and one standard PSBP without an IC were studied to confirm the effectiveness of IC in the PSBP system. Then, parametric analyses of their impact on PSBPs with IC were conducted, examining variables of the height ratio, cross-section area, concrete strength, reinforcement ratio, and reinforcement yield strength ratios of the IC in addition to vertical loading ratio and post -tension tendon area. The findings indicate that existing the IC improves PSBP performance in terms of hysteretic behavior, ductility, energy dissipation, and stiffness while ensuring self -centering behavior is within the acceptable range. Furthermore, a well -designed IC can effectively regulate the lateral resistance capacity and resilience performance of PSBPs. For PSBP construction, the IC socket connection utilizing modern materials is an effective connector and versatile for future bridge structure applications.
关键词 ：
Precast segmented bridge pier Precast segmented bridge pier Cyclic pseudo-static test Cyclic pseudo-static test High-performance concrete (HPC) High-performance concrete (HPC) Inner column socket connection Inner column socket connection Engineering cementation composite (ECC) Engineering cementation composite (ECC)
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| GB/T 7714 | Al-Shaebi, Rashad , Al-Haaj, Mohammed , Zhang, Dan et al. Cyclic performance of precast segmented bridge pier with inner column socket connection: A parametric study ☆ [J]. | STRUCTURES , 2024 , 62 . |
| MLA | Al-Shaebi, Rashad et al. "Cyclic performance of precast segmented bridge pier with inner column socket connection: A parametric study ☆" . | STRUCTURES 62 (2024) . |
| APA | Al-Shaebi, Rashad , Al-Haaj, Mohammed , Zhang, Dan , Li, Ning , Jia, Junfeng . Cyclic performance of precast segmented bridge pier with inner column socket connection: A parametric study ☆ . | STRUCTURES , 2024 , 62 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
本发明公开了一种结构健康监测数据压缩与重构方法，包括以下步骤：输入原始监测信号x，稀疏度K的取值范围[lb, ub]；指定改进灰狼优化算法的种群个数N，最大迭代次数tmax，并构造自适应度函数f(k)；计算最优的稀疏度Kbest以及对应的自适应度f(Kbest)；得到稀疏度为Kbest时的重构信号输出Kbest，f(Kbest)以及本发明可以利用改进灰狼优化算法得到最优的稀疏度，将其输入正交匹配追踪算法后便可得到最优的重构信号，显著了提高了重构信号的精度。
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| GB/T 7714 | 贾俊峰 , 张龙冠 , 陈曦泽 et al. 一种结构健康监测数据压缩与重构方法 : CN202310262169.3[P]. | 2023-03-17 . |
| MLA | 贾俊峰 et al. "一种结构健康监测数据压缩与重构方法" : CN202310262169.3. | 2023-03-17 . |
| APA | 贾俊峰 , 张龙冠 , 陈曦泽 , 白玉磊 , 顾冉星 . 一种结构健康监测数据压缩与重构方法 : CN202310262169.3. | 2023-03-17 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
This paper presents experimental studies and numerical simulations of circular reinforced concrete (RC) columns wrapped with Polyethylene Naphthalate fiber reinforced polymer (PEN FRP, a kind of large-rupture-strain FRP) and conventional CFRP. A total of seven columns were designed and fabricated, including a control column, three columns strengthened with CFRP, and three columns strengthened with PEN FRP. All columns were subjected to cyclic lateral load and a constant high axial load. The effectiveness of PEN FRP strengthening was systematically analyzed and discussed regarding the failure mode, displacement ductility, lateral cyclic load-displacement curve, stiffness degradation and energy dissipation capacity. The test results indicated that the control column exhibited inferior ductility and peak lateral strength, while FRP-strengthened columns possess better energy dissipation capacity and ductility. Further study found that PEN FRP was preferred to CFRP with similar tensile stiffness in seismic strengthening. Finally, based on the cyclic compression model of LRS FRPstrengthened concrete, the improved tensile model of FRP-strengthened concrete, and the cyclic stress-strain model of reinforcing steel, numerical simulations for seismic performance were carried out in OpenSees. It was found that the numerical simulation results of all FRP-strengthened RC columns were in excellent agreement with the test results. To better understand the effect of FRP confinement stiffness on the seismic performance of circular columns, parametric analysis was performed. Results showed that the numerical simulations need to consider the buckling of longitudinal reinforcement for accurately predicting the seismic behavior of FRPstrengthened columns of lower confinement stiffness.
关键词 ：
OpenSees OpenSees Buckling Buckling High axial compression ratio High axial compression ratio LRS FRP LRS FRP Confinement stiffness Confinement stiffness RC columns RC columns Seismic performance Seismic performance
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| GB/T 7714 | Bai, Yu -Lei , Bai, Shang-Cong , Mei, Shi-Jie et al. Experimental and numerical study of PEN FRP-strengthened circular RC columns under lateral cyclic loading with high axial compression ratio [J]. | ENGINEERING STRUCTURES , 2023 , 294 . |
| MLA | Bai, Yu -Lei et al. "Experimental and numerical study of PEN FRP-strengthened circular RC columns under lateral cyclic loading with high axial compression ratio" . | ENGINEERING STRUCTURES 294 (2023) . |
| APA | Bai, Yu -Lei , Bai, Shang-Cong , Mei, Shi-Jie , Jia, Jun-Feng . Experimental and numerical study of PEN FRP-strengthened circular RC columns under lateral cyclic loading with high axial compression ratio . | ENGINEERING STRUCTURES , 2023 , 294 . |
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摘要 ：
The residual displacement of the bridge column has a great influence on evaluating earthquake damage and seismic resilience of bridges. However, the residual displacement is rarely considered when assessing postearthquake functionality and seismic resilience of bridges. An evaluation method for seismic damage of bridges is proposed in this paper by introducing both the maximum drift (MD) and residual drift (RD) of the bridge column as engineering demand parameters. The damage states and damage probability of bridges under earthquakes are determined through the joint probability density function and used to evaluate the functionality loss and recovery of bridges after earthquakes. A seismic resilience assessment framework of bridges considering both MD and RD is proposed and applied to assess the seismic resilience of a two-span reinforced concrete (RC) bridge. The results indicate that RD greatly impacts the probability of collapse damage of bridges. The evaluated functionality loss of the bridge considering both MD and RD is larger than that considering the single MD index after the earthquake. When both MD and RD are taken into consideration, the evaluated seismic resilience is smaller than the result considering the single MD index. The maximum reduction of seismic resilience is 14.1% at the peak ground acceleration (PGA) of 0.7 g. With the increase of PGA, the seismic resilience considering both MD and RD is similar to that only considering MD. The seismic resilience can be overestimated when RD is not taken into consideration.
关键词 ：
Fragility Fragility Functionality recovery Functionality recovery Residual displacement Residual displacement Functionality loss Functionality loss Maximum displacement Maximum displacement Seismic resilience Seismic resilience
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| GB/T 7714 | Wei, Bo , Jia, Junfeng , Bai, Yulei et al. Seismic resilience assessment of bridges considering both maximum and residual displacements [J]. | ENGINEERING STRUCTURES , 2023 , 291 . |
| MLA | Wei, Bo et al. "Seismic resilience assessment of bridges considering both maximum and residual displacements" . | ENGINEERING STRUCTURES 291 (2023) . |
| APA | Wei, Bo , Jia, Junfeng , Bai, Yulei , Du, Xiuli , Guo, Binli , Guo, He . Seismic resilience assessment of bridges considering both maximum and residual displacements . | ENGINEERING STRUCTURES , 2023 , 291 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
Precast Segment Bridge Columns (PSBCs), which attract more attention owing to the merits of faster construction rate and higher construction quality compared with monolithic columns, are prone to serious damage under a severe earthquake. Seismic performance improvement and rehabilitation of earthquake-damaged PSBCs are significant to promote applications in seismic-prone areas. Ultra-high performance concrete (UHPC) jackets, which are promising in the field of rapid retrofit of civil structures, were used to retrofit damaged PSBCs in this study. To investigate the seismic design method and performance of repaired PSBCs using UHPC jackets, a 1/10scale earthquake-induced damaged PSBC was retrofitted based on a proposed reinforcement design method, and tested under vertical loading and incremental lateral cyclic loading. The failure mode, hysteresis curve, residual displacement, and energy dissipation capacity of the repaired column were compared with those of the original column. In addition, based on a verified 3D finite element model by the test, a parameter analysis was conducted to explore the effect of the height and wall thickness of the UHPC jacket on the seismic behavior of the repaired PSBCs. The results indicated that the earthquake-damaged PSBC repaired with the UHPC jacket had an equivalent initial stiffness, 18.9% higher energy dissipating ability at 4.0% drift ratio and 16.2% larger strength compared with the undamaged column. The numerical simulation showed that the height and thickness of the UHPC jacket had an influence on the failure location and strength of the repaired PSBCs. Besides, the design method for the damaged precast column reinforced with the UHPC was confirmed by the test and finite element model, and it could be applied to the retrofit design of the damaged precast segment column.
关键词 ：
Precast segmental bridge column Precast segmental bridge column Seismic performance Seismic performance Earthquake-induced damage Earthquake-induced damage PSBC PSBC UHPC jacket UHPC jacket Repair Repair
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| GB/T 7714 | Zhang, Kaidi , Jia, Junfeng , Bai, Yulei et al. Design and seismic performance of precast segmental bridge columns repaired with UHPC jacket after earthquake-induced damage [J]. | ENGINEERING STRUCTURES , 2023 , 291 . |
| MLA | Zhang, Kaidi et al. "Design and seismic performance of precast segmental bridge columns repaired with UHPC jacket after earthquake-induced damage" . | ENGINEERING STRUCTURES 291 (2023) . |
| APA | Zhang, Kaidi , Jia, Junfeng , Bai, Yulei , Bai, Tianning , Yang, Kai , Li, Yansen . Design and seismic performance of precast segmental bridge columns repaired with UHPC jacket after earthquake-induced damage . | ENGINEERING STRUCTURES , 2023 , 291 . |
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