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学者姓名：白玉磊
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Abstract ：
Bayesian methods have been widely used to improve the accuracy of finite element model in civil engineering. However, Bayesian methods generally suffer from the computational complexity involved in accurately identifying the posterior distribution. To address this issue, this paper proposes a novel method by combining the Hamiltonian Monte Carlo (HMC) algorithm with the gradient-enhanced Kriging (GEK) model, termed HMC-GEK, for more efficient model updating. The proposed method uses the potential function and gradient information generated during the burn-in phase of the HMC to train the GEK model. By replacing high-cost potential function with the GEK model, the original HMC sampling process is accelerated. An eight-story frame structure and a Yshaped arch bridge are used to validate the accuracy and efficiency of the proposed method. Furthermore, the HMC-GEK method has been employed to identify damage of a real eight-story steel frame structure. Compared with the HMC method with the traditional Kriging model, HMC-GEK makes more full use of the gradient information of the potential function and significantly improves the sample acceptance rate and computational efficiency. In addition, the successful application of the method in damage identification of the real structure demonstrates its value for engineering applications.
Keyword ：
Bayesian updating Bayesian updating Condition assessment Condition assessment Finite element model updating Finite element model updating Gradient-enhanced Kriging model Gradient-enhanced Kriging model Hamiltonian Monte Carlo Hamiltonian Monte Carlo
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| GB/T 7714 | Li, Qiang , Ni, Pinghe , Du, Xiuli et al. Bayesian updating using accelerated Hamiltonian Monte Carlo with gradient-enhanced Kriging model [J]. | COMPUTERS & STRUCTURES , 2025 , 307 . |
| MLA | Li, Qiang et al. "Bayesian updating using accelerated Hamiltonian Monte Carlo with gradient-enhanced Kriging model" . | COMPUTERS & STRUCTURES 307 (2025) . |
| APA | Li, Qiang , Ni, Pinghe , Du, Xiuli , Han, Qiang , Xu, Kun , Bai, Yulei . Bayesian updating using accelerated Hamiltonian Monte Carlo with gradient-enhanced Kriging model . | COMPUTERS & STRUCTURES , 2025 , 307 . |
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Abstract ：
Fibre-reinforced polymer mesh fabric (FRP-MF) is an effective substitute for normal steel stirrups in concrete to prevent steel corrosion in reinforced concrete (RC) structures. Nevertheless, methods for calculating the shear resistance of RC members rehabilitated in shear with FRP-MF configurations are lacking. Moreover, the methods for quantitative analysis of the shear contribution caused by the cracking control effect produced by CFRP-MF longitudinal FRP strips are unclear. In this paper, a mechanics-based segmental model is presented based on partial interaction analysis considering both transverse FRP strips and longitudinal reinforcements. By incorporating the carbon-fibre-reinforced polymer mesh fabric (CFRP-MF) stirrups into this model, a shear strength model was proposed and extended for design purposes in a closed form. In addition, the modified compression field theory (MCFT) model considering the shear strength of concrete in compression and the shear friction model (SFM) in the literature were appropriately modified and used for comparison with the segmental model. It should be noted that if the tensile strength of the longitudinal strips was added into the corresponding calculation formulas, it would cause the difference between the proposed novel models with the previous models. Finally, the shear strength of 14 CFRP-MF reinforced concrete beams were evaluated using these three models. The average ratios of the experimental values of the CFRP-MF RC beams to the shear capacity predicted by the modified segmental model, MCFT with the shear contribution of compressed concrete and SFM were 1.30, 1.19 and 1.19, respectively. It turns out that the modified mechanics-based segmental model yields the minimum discreteness based on the experiment results. This study can provide shear capacity calculation and design reference of RC beams with longitudinal FRP strip reinforcements for researchers and engineers.
Keyword ：
Carbon-fibre-reinforced polymer mesh fabric Carbon-fibre-reinforced polymer mesh fabric Segmental model Segmental model Shear strength Shear strength (CFRP-MF) (CFRP-MF) Longitudinal FRP strips Longitudinal FRP strips
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| GB/T 7714 | Yang, Xu , Lin, Zhi-Heng , Wang, Xu-Dong et al. Shear capacity prediction of carbon-fibre-reinforced polymer mesh fabric (CFRP-MF) stirrups reinforced concrete beams [J]. | CASE STUDIES IN CONSTRUCTION MATERIALS , 2024 , 21 . |
| MLA | Yang, Xu et al. "Shear capacity prediction of carbon-fibre-reinforced polymer mesh fabric (CFRP-MF) stirrups reinforced concrete beams" . | CASE STUDIES IN CONSTRUCTION MATERIALS 21 (2024) . |
| APA | Yang, Xu , Lin, Zhi-Heng , Wang, Xu-Dong , Bai, Yu-Lei . Shear capacity prediction of carbon-fibre-reinforced polymer mesh fabric (CFRP-MF) stirrups reinforced concrete beams . | CASE STUDIES IN CONSTRUCTION MATERIALS , 2024 , 21 . |
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Abstract ：
This paper reports the investigations of experimental and numerical programs on the shear performance of Ushaped Polyethylene Terephthalate (PET) FRP-retrofitted RC beams. Twelve RC beams were fabricated and tested under monotonic three-point loading with the test parameters being FRP strip width and shear span-toeffective depth ratio. A comprehensive analysis and investigation were conducted in terms of the failure modes, shear load - deflection responses, shear capacities, the strain evolution of FRP and stirrups, and the interaction of shear contributions among FRP, stirrups and concrete. Larger debonding strains were observed for PET FRP. Five design guidelines and two models available in the literature were assessed against the measured PET FRP shear contribution. A modified model of the shear contribution for PET FRP was developed and verified by the test results. Finally, a finite element model was established to further understand the shear performance of retrofitted beams, in which the bond-slip relationship between concrete and FRP was considered. The FE model was validated by comparing the test and FE results. The proposed FE model could accurately capture the propagation of shear critical cracks and FRP debonding failure for the specimens with medium and large shear spans.
Keyword ：
Shear contribution Shear contribution PET FRP PET FRP Shear strengthening Shear strengthening Shear span Shear span RC beams RC beams
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| GB/T 7714 | Mei, Shi-Jie , Bai, Yu -Lei , Dai, Jian-Guo . Experimental and numerical investigations on shear behavior of RC beams strengthened with U-wrapped PET FRP [J]. | COMPOSITE STRUCTURES , 2024 , 344 . |
| MLA | Mei, Shi-Jie et al. "Experimental and numerical investigations on shear behavior of RC beams strengthened with U-wrapped PET FRP" . | COMPOSITE STRUCTURES 344 (2024) . |
| APA | Mei, Shi-Jie , Bai, Yu -Lei , Dai, Jian-Guo . Experimental and numerical investigations on shear behavior of RC beams strengthened with U-wrapped PET FRP . | COMPOSITE STRUCTURES , 2024 , 344 . |
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Abstract ：
Polyethylene terephthalate (PET) fibers are green, environmentally friendly materials. They mainly come from recycled plastic bottles and other products. The addition of PET fibers to recycled aggregate concrete (RAC) has the potential to reduce concrete damage and increase specimen toughness. In this study, the influences of recycled coarse aggregate (RCA) replacement ratio and fiber volume ratio on the impact response of PET fiber reinforced RAC at various strain rates were experimentally investigated. It was found that the compressive strength, critical strain, and toughness grew with the increasing strain rate, followed by the aggravation of the concrete damage. Owing to the strain rate effect, the failure mode of concrete specimen at a high strain rate was different from that under a quasi-static loading. This led to the reduction of differences in the dynamic compressive strength between the natural and recycled aggregate concrete at a high strain rate. Although the replacement of natural coarse aggregates with RCAs resulted in the decrease in the dynamic compressive strength, it increased the critical strain of the specimen. To reduce the brittleness of concrete materials, flexible fibers, PET fibers were added into the concrete matrix. It was found that the addition of PET fibers increased the critical strain and significantly reduced concrete damage. The empirical equations were proposed to describe the rate-dependent dynamic compressive strength, critical strain, and toughness based on experimental data.
Keyword ：
dynamic compressive properties dynamic compressive properties polyethylene terephthalate (PET) fibers polyethylene terephthalate (PET) fibers recycled coarse aggregates (RCA) recycled coarse aggregates (RCA) recycled aggregate concrete (RAC) recycled aggregate concrete (RAC)
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| GB/T 7714 | Yan, Zhi-Wei , Bai, Yu-Lei , Chen, Wensu . Dynamic compressive behaviors of polyethylene terephthalate fiber reinforced recycled aggregate concrete [J]. | STRUCTURAL CONCRETE , 2024 , 25 (5) : 3883-3901 . |
| MLA | Yan, Zhi-Wei et al. "Dynamic compressive behaviors of polyethylene terephthalate fiber reinforced recycled aggregate concrete" . | STRUCTURAL CONCRETE 25 . 5 (2024) : 3883-3901 . |
| APA | Yan, Zhi-Wei , Bai, Yu-Lei , Chen, Wensu . Dynamic compressive behaviors of polyethylene terephthalate fiber reinforced recycled aggregate concrete . | STRUCTURAL CONCRETE , 2024 , 25 (5) , 3883-3901 . |
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Abstract ：
Carbon fiber-reinforced polymer (CFRP) tendons are gaining significant interest in the construction industry owing to their high corrosion resistance. Full-depth precast concrete deck panels (PCDPs) with connections provide advantages for accelerating the construction of superstructures, such as minimizing traffic interruption and improving construction quality. The influences of the connection configuration on the mechanical properties, convenience of construction, and economic cost of PCDPs are the focus issues to be concerned. The poor durability of connection materials also hinders the practical application of full-depth PCDPs. In this paper, a novel high-performance connection for PCDPs was proposed, taking ultrahigh-performance concrete (UHPC) and CFRP strand as grout material and post-tensioned tendon, respectively. The high-performance connection has high strength and durability. Four-point bending experiments were conducted to investigate the flexural performance of PCDPs with the proposed novel connection, including failure mode, moment-deflection curve, capacity, ductility, and working mechanism. Moreover, the numerical simulations were carried out to evaluate the impacts of parameters on the flexural capacity in Abaqus software. An improved analytical model was put forward to predict the balanced CFRP tendon ratio and flexural capacity of PCDPs. The results show that it is ductile-control for the failure mode of PCDPs with high-performance connections. The flexural capacity is significantly improved with the increased quantity of welded studs, initial tendon stress, concrete strength, and anchorage spacing. The proposed connections could effectively promote the behavior and durability of PCDPs.
Keyword ：
Carbon fiber-reinforced polymer (CFRP) tendon Carbon fiber-reinforced polymer (CFRP) tendon Improved analytical model Improved analytical model Ultrahigh-performance concrete (UHPC) Ultrahigh-performance concrete (UHPC) Precast concrete deck panels Precast concrete deck panels Flexural behavior Flexural behavior
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| GB/T 7714 | Hu, Menghan , Jia, Zhenlei , Han, Qiang et al. Application of CFRP Tendons to Novel Connections of Precast Concrete Deck Panels: Experiments and Analytical Models [J]. | JOURNAL OF COMPOSITES FOR CONSTRUCTION , 2023 , 27 (1) . |
| MLA | Hu, Menghan et al. "Application of CFRP Tendons to Novel Connections of Precast Concrete Deck Panels: Experiments and Analytical Models" . | JOURNAL OF COMPOSITES FOR CONSTRUCTION 27 . 1 (2023) . |
| APA | Hu, Menghan , Jia, Zhenlei , Han, Qiang , Bai, Yulei , Jiao, Chiyu , Long, Peiheng . Application of CFRP Tendons to Novel Connections of Precast Concrete Deck Panels: Experiments and Analytical Models . | JOURNAL OF COMPOSITES FOR CONSTRUCTION , 2023 , 27 (1) . |
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Abstract ：
精确的有限元分析(FEA)依赖于材料的准确定义。通过编写用户子程序UMAT实现了大断裂应变纤维增强聚合物(LRS FRP)在纤维方向上拉伸特性的定义。基于Abaqus中混凝土塑性损伤模型的理论框架，提出了一种改进的混凝土塑性损伤模型用于定义LRS FRP约束混凝土的材料特性。这些改进包括：通过LRS FRP约束混凝土的实验数据校准了与屈服准则相关的参数K；硬化/软化准则与约束刚度相关；流动法则与轴向塑性应变相关。采用修改后的材料模型进行FEA，结果表明：FEA预测的应力-应变曲线与实验结果吻合。基于FEA的结果，讨论了矩形柱截面上应力分布的不均匀性，根据约束效果可分为有效约束区域和弱约束区域，且在约束有效区域上应力分布不均匀性随着截面比(长边/短边)的增加而增加。
Keyword ：
大应变FRP 大应变FRP 约束混凝土 约束混凝土 混凝土塑性损伤模型 混凝土塑性损伤模型 纤维增强聚合物(FRP) 纤维增强聚合物(FRP) 有限元分析 有限元分析
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| GB/T 7714 | 白玉磊 , 杨洪龙 , 贾俊峰 et al. 基于修正混凝土塑性损伤模型的大应变FRP约束混凝土有限元分析 [J]. | 工程力学 , 2023 , 40 (4) : 129-143 . |
| MLA | 白玉磊 et al. "基于修正混凝土塑性损伤模型的大应变FRP约束混凝土有限元分析" . | 工程力学 40 . 4 (2023) : 129-143 . |
| APA | 白玉磊 , 杨洪龙 , 贾俊峰 , 梅世杰 . 基于修正混凝土塑性损伤模型的大应变FRP约束混凝土有限元分析 . | 工程力学 , 2023 , 40 (4) , 129-143 . |
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Abstract ：
为评估地震作用下大应变纤维增强聚合物(large rupture strain fiber reinforced polymer, LRS FRP)加固桥梁的抗震性能，以一典型三跨连续梁桥为例进行了研究。目前关于LRS FRP约束混凝土往复轴压模型的研究较少，限制了LRS FRP加固桥梁的抗震分析。因此介绍了作者课题组提出的简化LRS FRP约束混凝土往复轴压模型，根据此模型并结合地震易损性分析理论，基于OpenSees平台，采用增量动力分析(incremental dynamic analysis, IDA)方法，对三跨连续梁桥在LRS FRP加固前后的地震易损性进行了分析。结果表明：轻微损伤和中等损伤状态下桥梁墩柱基本处于未受损坏的线弹性阶段，LRS FRP加固对其地震易损性影响不大；严重破坏和完全倒塌状态下，未加固桥梁的损坏超越概率明显大于LRS FRP加固的桥梁。提出的简化LRS FRP约束混凝土往复轴压模型可为LRS FRP加固桥梁的抗震分析提供参考。
Keyword ：
增量动力分析 增量动力分析 OpenSees OpenSees 桥梁工程 桥梁工程 地震易损性 地震易损性 桥梁墩柱 桥梁墩柱 LRS FRP LRS FRP
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| GB/T 7714 | 白玉磊 , 张玉峰 , 梅世杰 et al. 大应变FRP加固连续梁桥地震易损性分析 [J]. | 哈尔滨工业大学学报 , 2023 , 55 (09) : 84-91 . |
| MLA | 白玉磊 et al. "大应变FRP加固连续梁桥地震易损性分析" . | 哈尔滨工业大学学报 55 . 09 (2023) : 84-91 . |
| APA | 白玉磊 , 张玉峰 , 梅世杰 , 贾俊峰 , 杜修力 . 大应变FRP加固连续梁桥地震易损性分析 . | 哈尔滨工业大学学报 , 2023 , 55 (09) , 84-91 . |
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Abstract ：
为了可靠、准确地预测钢管混凝土(CFST)柱的轴向承载力,建立和解释集成机器学习的CFST柱轴向承载力预测模型.使用马氏距离评估CFST柱数据库质量,通过极限梯度提升(XGBoost)算法建立CFST柱轴向承载力预测模型,使用K折交叉验证(K-Fold CV)和树结构概率密度估计(TPE)算法寻找模型的最优超参数组合.采用不同评价指标将优化后XGBoost模型的预测值与已有方法和未优化XGBoost模型的计算值比较.使用SHAP方法给出XGBoost模型预测结果的整体和局部的解释.结果表明,经过超参数调整优化的XGBoost模型的性能超越了相关规范和经验公式的性能,且SHAP方法能够有效地解释XGBoost模型的输出.
Keyword ：
SHAP SHAP 轴向承载力 轴向承载力 可解释性 可解释性 钢管混凝土(CFST)柱 钢管混凝土(CFST)柱 超参数优化 超参数优化 极限梯度提升(XGBoost) 极限梯度提升(XGBoost)
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| GB/T 7714 | 陈曦泽 , 贾俊峰 , 白玉磊 et al. 基于XGBoost-SHAP的钢管混凝土柱轴向承载力预测模型 [J]. | 浙江大学学报（工学版） , 2023 , 57 (6) : 1061-1070 . |
| MLA | 陈曦泽 et al. "基于XGBoost-SHAP的钢管混凝土柱轴向承载力预测模型" . | 浙江大学学报（工学版） 57 . 6 (2023) : 1061-1070 . |
| APA | 陈曦泽 , 贾俊峰 , 白玉磊 , 郭彤 , 杜修力 . 基于XGBoost-SHAP的钢管混凝土柱轴向承载力预测模型 . | 浙江大学学报（工学版） , 2023 , 57 (6) , 1061-1070 . |
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Abstract ：
Recycling waste concrete is critical to land use and reduction of landfills. It is a good option to recycle the waste coarse aggregates from it and add them to the concrete matrix. Due to the existence of new and old interface transition zones (ITZs), the quasi-static compressive strength of recycled aggregate concrete is lower than that of natural aggregate concrete, which limits the widespread application of recycled aggregate concrete. In order to improve its engineering application of recycled aggregate concrete, the dynamic compressive properties were studied. Thus, based on a Split Hopkinson Pressure Bar (SHPB) device, the effects of strain rate and recycled coarse aggregate (RCA) replacement ratio on the failure mode, dynamic compressive strength, critical strain and toughness were investigated. It was found that increasing the strain rate led to the aggravation of the specimen damage and growth of the dynamic compressive strength, toughness and critical strain. At a high strain rate, the strain rate effect changed the failure mode of recycled aggregate concrete. This reduced the performance difference between recycled and natural aggregate concrete, in terms of the dynamic compressive strength. The recycled aggregate concrete had a similar toughness to the natural aggregate concrete. Although the growth of the RCA replacement ratio decreased the dynamic compressive strength and increased the critical strain, it had a little effect on the toughness. In order to reduce the brittleness of the recycled aggregate concrete and improve its deformability, non-synthetic, green and low-consumption flax fibers were incorporated into the concrete matrix, and its dynamic compressive behaviors were studied experimentally accordingly. Tests verified that the addition of flax fibers significantly reduced the damage and increased the critical strain. Especially when the strain rate was greater than 200 s-1, flax fiber reinforced recycled aggregate concrete exhibited a superior energy consumption ability. Based on the experimental data, empirical equations were proposed to describe the dynamic compressive strength, critical strain and toughness at different strain rates.
Keyword ：
Dynamic compressive behaviors Dynamic compressive behaviors Flax fibers Flax fibers Recycled aggregate concrete (RAC) Recycled aggregate concrete (RAC)
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| GB/T 7714 | Yan, Zhi-Wei , Bai, Yu-Lei , Zhang, Qiang et al. Experimental study on dynamic properties of flax fiber reinforced recycled aggregate concrete [J]. | JOURNAL OF BUILDING ENGINEERING , 2023 , 80 . |
| MLA | Yan, Zhi-Wei et al. "Experimental study on dynamic properties of flax fiber reinforced recycled aggregate concrete" . | JOURNAL OF BUILDING ENGINEERING 80 (2023) . |
| APA | Yan, Zhi-Wei , Bai, Yu-Lei , Zhang, Qiang , Zeng, Jun-Jie . Experimental study on dynamic properties of flax fiber reinforced recycled aggregate concrete . | JOURNAL OF BUILDING ENGINEERING , 2023 , 80 . |
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Abstract ：
Without rigorous testing, it is challenging to predict the compressive strength of concrete directly from the mix ratio. This study explored an optimal method for predicting the compressive strength of concrete based on various ensemble machine learning methods. The database was collected from real projects, using the Maha-lanobis distance to verify database quality. Firstly, the background of ensemble machine learning techniques was presented typically represented by random forest (RF), the adaptive boosting algorithm (AdaBoost), the gradient boosting regression tree (GBRT), extreme gradient boosting (XGBoost), the light gradient boosting machine (LightGBM), the categorical boosting algorithm (CatBoost). Secondly, the K-fold cross-validation (K-fold CV) and Tree-structured Parzen Estimator (TPE) algorithm were applied to find the optimal hyperparameter combina-tions for the models. Then, the models were compared with the individual machine learning models by using four evaluation indexes, including the root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), and the coefficient of determination (R2), results showed that the LightGBM model achieved the best comprehensive performance. The SHapley Additive exPlanations (SHAP) approach was used to produce both global and local explanations for the predictions of the LightGBM model. And a graphical user interface (GUI) was developed to offer users a useful tool. Finally, a conditional generative adversarial network (cGAN) was applied to address the issue of database scarcity or the lack of data for a specific concrete strength grade in the database.
Keyword ：
Machine learning Machine learning Concrete compressive strength Concrete compressive strength Shapley additive explanations Shapley additive explanations Conditional generative adversarial network Conditional generative adversarial network
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| GB/T 7714 | Jia, Jun-Feng , Chen, Xi-Ze , Bai, Yu-Lei et al. An interpretable ensemble learning method to predict the compressive strength of concrete [J]. | STRUCTURES , 2022 , 46 : 201-213 . |
| MLA | Jia, Jun-Feng et al. "An interpretable ensemble learning method to predict the compressive strength of concrete" . | STRUCTURES 46 (2022) : 201-213 . |
| APA | Jia, Jun-Feng , Chen, Xi-Ze , Bai, Yu-Lei , Li, Yu-Long , Wang, Zhi-Hao . An interpretable ensemble learning method to predict the compressive strength of concrete . | STRUCTURES , 2022 , 46 , 201-213 . |
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