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学者姓名：陈力波
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The corrosion problem of steel-reinforced concrete (SRC) columns in coastal areas is becoming increasingly severe and needs to be solved urgently. This study established a numerical analysis model for SRC middle-length columns considering corrosion effects. The bond-slip constitutive relationship between corroded steel and concrete was established. It was found that when the rust rate is low, the bonding stress of SRC columns is slightly increased compared to those without corrosion. The ultimate and residual bonding stress will decrease significantly when the rust rate exceeds 1.5%. The comparison between the numerical analysis model and the experimental results shows that the establishment of the model is reasonable. Subsequent parameter analysis showed that for corroded SRC mid-length columns, the larger the slenderness ratio of the component, the faster the decrease in axial compression performance. The rust rate increased from 0 to 30%, and the axial compression performance of SRC columns decreased significantly. When the rust rate exceeded 30%, the axial compression performance of concrete columns tended to stabilize. A formula for calculating SRC middle-length columns' ultimate bearing capacity considering corrosion effects has been proposed.
Keyword ：
corrosion corrosion finite element results finite element results steel-reinforced concrete middle-length columns steel-reinforced concrete middle-length columns
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| GB/T 7714 | Nie, Renjie , Chen, Yitao , Xing, Zhiquan et al. Finite element analysis of deterioration of axial compression behavior of corroded steel-reinforced concrete middle-length columns [J]. | REVIEWS ON ADVANCED MATERIALS SCIENCE , 2024 , 63 (1) . |
| MLA | Nie, Renjie et al. "Finite element analysis of deterioration of axial compression behavior of corroded steel-reinforced concrete middle-length columns" . | REVIEWS ON ADVANCED MATERIALS SCIENCE 63 . 1 (2024) . |
| APA | Nie, Renjie , Chen, Yitao , Xing, Zhiquan , Chen, Libo , Yue, Zhicheng , Chen, Wei et al. Finite element analysis of deterioration of axial compression behavior of corroded steel-reinforced concrete middle-length columns . | REVIEWS ON ADVANCED MATERIALS SCIENCE , 2024 , 63 (1) . |
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Assessing the seismic capacity of pier columns is a crucial element in the performance -based seismic design of bridges. Such assessment necessitates a probabilistic approach to accurately determine the marginal probability distributions of seismic capacities and to characterize the dependencies among these variables. In response to this need, this paper employs Multi -Output Gaussian Process Regression (MO-GPR), a probabilistic machine learning method, to jointly model the multiple seismic capacities of pier columns. We initially introduce a probabilistic seismic capacity model that utilizes MO-GPR for pier columns and validate its predictive accuracy in comparison to Bayesian linear regression and existing empirical methods. Subsequently, the methodology is augmented by the integration of hierarchical modeling within the MO-GPR framework, resulting in a Multi -Output Hierarchical Gaussian Process Regression (MO-HGPR) model that effectively estimates intraclass correlation coefficients for specific types of datasets. It is postulated that these correlation coefficients also reflect correlations associated with multiple components of the real structure. This study employs MO-HGPR and MO-GPR separately to investigate the potential correlations of seismic capacities among pier columns and distinct limit states. The results demonstrate that the MO-GPR model exhibits superior prediction accuracy and more effectively portrays uncertainty compared to existing empirical models. Moreover, the correlations of seismic capacities among piers and limit states are both robust and significantly impact the seismic fragility of bridges. This finding highlights the essential nature of considering capacities correlations in seismic fragility or risk assessment processes.
Keyword ：
Damage limit states Damage limit states Gaussian process regression Gaussian process regression Hierarchical model Hierarchical model Pier columns Pier columns Seismic capacity correlation Seismic capacity correlation Seismic fragility Seismic fragility
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| GB/T 7714 | Mo, Ruchun , Chen, Libo , Chen, Yu et al. Prediction and correlations estimation of seismic capacities of pier columns: Extended Gaussian process regression models [J]. | STRUCTURAL SAFETY , 2024 , 109 . |
| MLA | Mo, Ruchun et al. "Prediction and correlations estimation of seismic capacities of pier columns: Extended Gaussian process regression models" . | STRUCTURAL SAFETY 109 (2024) . |
| APA | Mo, Ruchun , Chen, Libo , Chen, Yu , Xiong, Chuanxiang , Zhang, Canlin , Chen, Zhaowu et al. Prediction and correlations estimation of seismic capacities of pier columns: Extended Gaussian process regression models . | STRUCTURAL SAFETY , 2024 , 109 . |
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余震概率性地震危险性分析对主震发生后的地震风险评估至关重要。经典的余震概率性地震危险性分析框架基于Reasenberg-Jones(R-J)模型建立，但R-J模型对复杂的地震序列可能存在预测失效的问题，因此，将对真实余震序列描述较好的传染型余震序列模型(epidemic-type aftershock sequence, ETAS)结合到余震概率性地震危险性分析框架中，以2008年汶川7.9级余震序列和2014年鲁甸6.2级余震序列为例，评估余震危险性的重要性以及探讨ETAS模型相对于R-J模型在余震概率性地震危险性分析中的差异。结果表明：余震危险性水平与主震震级大小有关，主震震级越大，余震危险性水平越高，持续时间越久，对于震级较大的强主震事件，主震发生后早期的余震危险性不容忽略。对于汶川7.9级和鲁甸6.2级地震事件，在余震发生率预测效能上ETAS模型优于R-J模型，而在余震危险性评估中，余震危险性的大小取决于余震发生率，基于R-J模型计算的余震发生率大于ETAS模型计算的余震发生率，因此，在余震危险性评估中使用R-J模型相比于ETAS模型会造成对余震危险性水平的高估，ETAS模型可用于改进余震概率性地震危险性评估框架。
Keyword ：
ETAS模型 ETAS模型 R-J模型 R-J模型 余震序列 余震序列 余震概率性地震危险性分析 余震概率性地震危险性分析
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| GB/T 7714 | 陈力波 , 陈良鹏 , 周健鸿 . 基于ETAS模型的余震概率性地震危险性分析 [J]. | 自然灾害学报 , 2024 , 33 (04) : 22-33 . |
| MLA | 陈力波 et al. "基于ETAS模型的余震概率性地震危险性分析" . | 自然灾害学报 33 . 04 (2024) : 22-33 . |
| APA | 陈力波 , 陈良鹏 , 周健鸿 . 基于ETAS模型的余震概率性地震危险性分析 . | 自然灾害学报 , 2024 , 33 (04) , 22-33 . |
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The framework for performance-based seismic design and assessment of bridges grapples with the pressing challenge of precisely estimating the seismic capacities correlation amongst bridge piers. To address this issue, a Bayesian semiparametric hierarchical model is proposed in this study to characterize such correlation. This model was applied to a database populated with multiple-column tests conducted by distinct research cohorts. Given that each group performed tests under analogous conditions, the model could be operationalized on the database to derive intraclass correlation coefficients that reflect the statistical correlation among piers tested by individual research groups. It is postulated that these coefficients also typify the capacity correlation across multiple bridge piers within a bridge system. After a thorough examination of the data set, particularly focusing on the nature of missing values, an appropriate multiple imputation technique was selected to address the missing data, aiming to approximate the most accurate intraclass correlation. The analysis revealed that, among the various damage limit states, the correlation coefficients spanned between 0.386 and 0.883. This suggests that the seismic capacity of bridge piers is influenced not only by design parameters but also by the experimental group. Utilizing independent or fully correlated relationships between capacities, rather than true correlation coefficients, can lead to significant deviations in the fragility curve, which increase with the number of bridge piers. Such observations accentuate the necessity of integrating authentic pier capacity correlations in the bridge system fragility analysis. © 2024 American Society of Civil Engineers.
Keyword ：
Bridge piers Bridge piers Hierarchical systems Hierarchical systems Piers Piers Seismic design Seismic design Seismology Seismology Statistical tests Statistical tests
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| GB/T 7714 | Chen, Libo , Mo, Ruchun , Chen, Yu et al. Investigation of Intraclass Correlation of Seismic Capacity for RC Bridge Piers Based on Hierarchical Model [J]. | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering , 2024 , 10 (3) . |
| MLA | Chen, Libo et al. "Investigation of Intraclass Correlation of Seismic Capacity for RC Bridge Piers Based on Hierarchical Model" . | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 10 . 3 (2024) . |
| APA | Chen, Libo , Mo, Ruchun , Chen, Yu , Guo, Zhan , Zheng, Zhenfeng . Investigation of Intraclass Correlation of Seismic Capacity for RC Bridge Piers Based on Hierarchical Model . | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering , 2024 , 10 (3) . |
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The study of the durability of steel-reinforced concrete (SRC) columns under the influence of coastal moisture-heat coupling has grown in prominence. In this study, electrochemical corrosion and axial pressure loading tests were performed on 10 SRC columns. These tests studied the effects of varying corrosion rates and CL-concentration on the axial pressure performance of the SRC columns when conducted in an energized medium, and the results revealed the modes of failure and the degradation laws. The ultimate bearing capacity and stiffness of SRC columns increasingly deteriorate with increasing corrosion rate; the ductility index also deteriorates to certain extent. When the corrosion rate exceeds 20 %, each index parameter of the test column deteriorates. During the axial compression test, the concentration of CL-in the energized medium primarily increases the growth rate of strain in the elastic-plastic phase during the middle and late loading stages. This leads to further deterioration of the SRC columns in multiple ways, such as cracking of the protective layer of concrete, weakening of the material properties, and damage to the cross-section. Based on this experimental study, the modeling of SRC columns under chloride salt erosion was performed using a new finite-element method. In addition, the Mander constrained concrete model and the Biondini concrete cracking model were used to theoretically derive the ultimate bearing capacity of the corroded SRC column.
Keyword ：
Axial pressure performance Axial pressure performance Chloride salt erosion Chloride salt erosion Deterioration law Deterioration law Steel-reinforced concrete (SRC) Steel-reinforced concrete (SRC)
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| GB/T 7714 | Xing, Zhiquan , Guo, Yi , Zhu, Yao et al. Deterioration pattern of the axial compressive properties of steel-reinforced concrete columns owing to chloride salt erosion [J]. | ENGINEERING STRUCTURES , 2024 , 313 . |
| MLA | Xing, Zhiquan et al. "Deterioration pattern of the axial compressive properties of steel-reinforced concrete columns owing to chloride salt erosion" . | ENGINEERING STRUCTURES 313 (2024) . |
| APA | Xing, Zhiquan , Guo, Yi , Zhu, Yao , Chen, Libo , Chung, Kwok-Fai , Chen, Yu . Deterioration pattern of the axial compressive properties of steel-reinforced concrete columns owing to chloride salt erosion . | ENGINEERING STRUCTURES , 2024 , 313 . |
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To investigate the axial compressive properties and failure modes of 18 locally corroded square steel tube short columns, salt spray corrosion tests were conducted. The findings indicate that local corrosion in the horizontal direction significantly impacts the ultimate bearing capacity of the specimens, with all failures occurring in the corroded areas. However, the influence of the corrosion area on the ultimate bearing capacity and ductility of the specimens is not evident. A local corrosion model for square steel tube short columns was developed using the finite element method. The ultimate bearing capacity determined through finite element simulation closely aligns with experimental results, validating the reliability of the simulation approach. Moreover, a comparison is made between the prediction models of the BP neural network and the GA-BP neural network, with the prediction effectiveness of each model evaluated using the leave-one-out method. The verification results indicate that the GA-BP neural network model demonstrates superior predictive performance, with an average error of 3.14%. © 2024
Keyword ：
Axial compression behavior Axial compression behavior BP-GA algorithm BP-GA algorithm Locally corroded Locally corroded Numerical simulation Numerical simulation Square steel tube short column Square steel tube short column
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| GB/T 7714 | Zhang, W. , Shi, J. , Xing, Z. et al. Study on mechanical properties of locally corroded square steel tube short column [J]. | Journal of Constructional Steel Research , 2024 , 222 . |
| MLA | Zhang, W. et al. "Study on mechanical properties of locally corroded square steel tube short column" . | Journal of Constructional Steel Research 222 (2024) . |
| APA | Zhang, W. , Shi, J. , Xing, Z. , Chen, L. , Guo, Z. , Wang, Z. et al. Study on mechanical properties of locally corroded square steel tube short column . | Journal of Constructional Steel Research , 2024 , 222 . |
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The stainless steel tubular truss is known for dealing with corrosion problem of tubular truss, and mechanical properties of tubular truss can be improved ulteriorly by filling concrete to effectively avoid local buckling of steel tubular. To study the influence of the filling position of steel fiber reinforced concrete (SFRC) on flexural behavior of stainless steel tubular truss, four-point bending tests were carried out on four specimens. The specimens consist of three SFRC-filled stainless steel tubular trusses and a hollow section stainless steel tubular truss as control group. The experimental results show that filling the chord with SFRC can significantly improve the bearing capacity of the stainless steel tubular truss. At the same time, the internal mechanism of SFRC improving the bearing capacity of the structure is analyzed from the perspectives of failure mode, overall deformation characteristics and strain development of material. The effects of several different SFRC filling methods on improving the mechanical performance of specimens were compared. Finally, the finite element method is used to analyze the tested specimens. The accuracy of the proposed finite element modeling is proved, and the optimal filling method to make full use of the material property of SFRC is obtained through stress analysis.
Keyword ：
Concrete-filled steel tubular truss Concrete-filled steel tubular truss Flexural performance Flexural performance Overall deflection Overall deflection Stainless steel tubular Stainless steel tubular Steel fiber reinforced concrete Steel fiber reinforced concrete Ultimate bearing capacity Ultimate bearing capacity
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| GB/T 7714 | Kong, Wenyuan , Zhou, Wenbo , Chen, Libo et al. Flexural performance of steel fiber reinforced concrete filled stainless steel tubular trusses [J]. | COMPOSITE STRUCTURES , 2023 , 303 . |
| MLA | Kong, Wenyuan et al. "Flexural performance of steel fiber reinforced concrete filled stainless steel tubular trusses" . | COMPOSITE STRUCTURES 303 (2023) . |
| APA | Kong, Wenyuan , Zhou, Wenbo , Chen, Libo , Liao, Qinglong , Zhu, Yao , Chen, Yu . Flexural performance of steel fiber reinforced concrete filled stainless steel tubular trusses . | COMPOSITE STRUCTURES , 2023 , 303 . |
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This paper takes an offshore continuous rigid bridge as the background bridge to reveal the dynamic response law of an offshore bridge under the action of earthquake and tsunami. A tsunami wave is simulated by a dambreak wave. A numerical model of a dam-break impact of a bridge pier is established in Fluent software, and k epsilon turbulence model is chosen to solve the Navier-Stokes equation. Meanwhile, ABAQUS software is used to establish a three-dimensional nonlinear full bridge model. The dam-break wave working condition is proposed according to the Stoker theory. The bridge dynamic response index under a single earthquake action and a continuous earthquake tsunami action is calculated, and the dynamic response rules under the two actions are summarized. The results show that compared with the tsunami action alone, the sequential action of the earthquake and tsunami will cause a greater dynamic response of the bridge structure. With the increase in the height of the incoming tsunami wave, the waveform trend difference of the response index will be more significant. Moreover, the influence coefficient of the dynamic response index of the bridge tends to increase as the probability level of the earthquake occurrence decreases.
Keyword ：
Dynamic response Dynamic response Earthquake and tsunami action Earthquake and tsunami action Numerical model of dam-break impact Numerical model of dam-break impact Offshore bridge Offshore bridge
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| GB/T 7714 | Chen, Heyu , Gu, Yin , Que, Yun et al. Study on the dynamic response of offshore bridge under earthquake action and tsunami impact [J]. | OCEAN ENGINEERING , 2023 , 281 . |
| MLA | Chen, Heyu et al. "Study on the dynamic response of offshore bridge under earthquake action and tsunami impact" . | OCEAN ENGINEERING 281 (2023) . |
| APA | Chen, Heyu , Gu, Yin , Que, Yun , Chen, Libo . Study on the dynamic response of offshore bridge under earthquake action and tsunami impact . | OCEAN ENGINEERING , 2023 , 281 . |
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This paper proposes a new method of probabilistic seismic demand analysis with high accuracy considering heteroscedasticity. For a typical simply supported girder bridge, the spectral acceleration corresponding to the fundamental period of bridge is chosen to reflect the ground motion intensity, and the displacement ductility coefficient of pier is selected as engineering demand parameter. A series of nonlinear dynamic time history analysis was performed on the bridge finite element model using the multiple strip analysis and the seismic demand sample set was established. Based on the Gaussian process regression method, the probabilistic seismic demand models were established for univariate and multivariate cases, and the fitting results were compared with the seismic demand models derived from the traditional linear regression. The seismic fragility models were established based on the two aforementioned seismic demand models by defining the limit values of different damage states of piers. The results show that: The probabilistic seismic demand models based on Gaussian process can reflect the probabilistic characteristics of seismic demand under different ground shaking intensities more accurately and describe the heteroscedasticity of seismic demand in logarithmic space better; there are some differences in the fragility curves of bridge components and system generated by the two models. The probabilistic seismic demand model based on Gaussian process can provide more reasonable and accurate assessment of the seismic performance of the bridge. © 2023 Tsinghua University. All rights reserved.
Keyword ：
bridge engineering bridge engineering Gaussian process Gaussian process heteroscedasticity heteroscedasticity probabilistic seismic demand model probabilistic seismic demand model seismic fragility seismic fragility
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| GB/T 7714 | Chen, L.-B. , Lin, W.-F. , Gu, Y. et al. RESEARCH ON PROBABILISTIC SEISMIC DEMAND MODEL OF SIMPLY SUPPORTED GIRDER BRIDGE BASED ON GAUSSIAN PROCESS; [基于高斯过程的简支梁桥概率性地震需求模型研究] [J]. | Engineering Mechanics , 2023 , 40 (7) : 99-110and248 . |
| MLA | Chen, L.-B. et al. "RESEARCH ON PROBABILISTIC SEISMIC DEMAND MODEL OF SIMPLY SUPPORTED GIRDER BRIDGE BASED ON GAUSSIAN PROCESS; [基于高斯过程的简支梁桥概率性地震需求模型研究]" . | Engineering Mechanics 40 . 7 (2023) : 99-110and248 . |
| APA | Chen, L.-B. , Lin, W.-F. , Gu, Y. , Lin, K.-Q. . RESEARCH ON PROBABILISTIC SEISMIC DEMAND MODEL OF SIMPLY SUPPORTED GIRDER BRIDGE BASED ON GAUSSIAN PROCESS; [基于高斯过程的简支梁桥概率性地震需求模型研究] . | Engineering Mechanics , 2023 , 40 (7) , 99-110and248 . |
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In the area of bridge seismic fragility studies, the fragility curve is commonly defined as a log-normal cumulative distribution function, and its parameters are usually estimated through two methods. However, the fragility curves derived by one of these two methods may intersect, whereas the other imposes significant restrictions on the shape of the curves. The purpose of this study is to derive fragility curves by utilizing machine learning tools (in particular, tools that are based on multi-classification probabilistic prediction), to address the limitations that are present in existing methodologies. To be more precise, support vector machine for classification (SVC) and relevance vector machine for classification (RVC) are utilized to construct fragility curves, while two other classic methodologies are chosen for comparison and validation. The four approaches were tested on a dataset acquired using numerical analysis, and their performance was measured using Brier -Score and Log-Loss. The results show that both SVC and RVC not only overcome the limitations and outperform the classical method, but also show robustness to arbitrarily partitioned training sets, whereas the classical method sometimes performs poorly.
Keyword ：
Bridge seismic fragility Bridge seismic fragility Machine learning tools Machine learning tools Multiclass classification Multiclass classification Probabilistic outputs Probabilistic outputs Relevance vector machine Relevance vector machine Support vector machine Support vector machine
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| GB/T 7714 | Mo, Ruchun , Chen, Libo , Xing, Zhiquan et al. Bridge seismic fragility model based on support vector machine and relevance vector machine [J]. | STRUCTURES , 2023 , 52 : 768-778 . |
| MLA | Mo, Ruchun et al. "Bridge seismic fragility model based on support vector machine and relevance vector machine" . | STRUCTURES 52 (2023) : 768-778 . |
| APA | Mo, Ruchun , Chen, Libo , Xing, Zhiquan , Ye, Xiaobing , Xiong, Chuanxiang , Liu, Changsheng et al. Bridge seismic fragility model based on support vector machine and relevance vector machine . | STRUCTURES , 2023 , 52 , 768-778 . |
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