Bo Wu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Bo Wu has a total of 76 co-authors. Here are the top co-authors by number of shared publications:
- Guowang Meng
School of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China
12 shared publications - Shixiang Xu
School of Civil and Architectural Engineering, East China University of Technology, Nanchang 330013, China
9 shared publications - Wei Huang
College of Civil Engineering and Architecture, Guangxi University, Nanning, China
7 shared publications Guowang Meng
College of Civil Engineering and Architecture, Guangxi University, Nanning, China
3 shared publications- Hualong Li
College of Civil Engineering and Architecture, Guangxi University, Nanning, Guangxi 530004, China
3 shared publications - Jinglong Zhang
College of Civil Engineering and Architecture, Guangxi University, Nanning, Guangxi 530004, China
3 shared publications
Latest Publications
- 12 December 2024
- Published by Springer Nature in Mechanics of Time-Dependent Materials
- Vol. 29 (1) , 1-23
Creep-failure pattern and micromorphological evolution of simulated silty mudstone under multistaged loading
- 12 December 2024
- Published by Springer Nature in Mechanics of Time-Dependent Materials
- Vol. 29 (1) , 1-23
Creep-failure pattern and micromorphological evolution of simulated silty mudstone under multistaged loading
- 30 July 2024
- Published by Springer Nature in Geotechnical and Geological Engineering
- Vol. 42 (7) , 6095-6112
Damage Characteristics and Degradation Mechanism of Silty Mudstone Under Wet–Dry Cycling
- 30 July 2024
- Published by Springer Nature in Geotechnical and Geological Engineering
- Vol. 42 (7) , 6095-6112
Damage Characteristics and Degradation Mechanism of Silty Mudstone Under Wet–Dry Cycling
- Open Access
A Calculation Method for Reliability Index of a Deep–Bedded Karst Tunnel Construction with Cavity Located Ahead of Tunnel Working Face
For the purpose of reliability quantitative assessment of the surrounding rock of the deeply embedded karst tunnel and the geological body around the cavern in the case of the cavern in the forepart of the tunnel face, on the basis of the upper bound limit analysis method, the energy dissipation theory, as well as the reliability theory, the dimensionless performance function of each damage area of the deeply buried karst tunnels could be established in the case of the cavern in the front of the tunnel face. Subsequently, the probability of failure and the reliability index of each damage region of the deep–bedded karst tunnel in the case of the cavern in the front of this tunnel face should be calculated through the Monte Carlo simulation sampling approach. The investigation has demonstrated that the larger the cohesion of the geotechnical body and the larger the internal friction angle within the geotechnical body, the larger the reliability indexes of the geotechnical bodies around the tunnel. The larger the diameter of the cavern and the larger the tunnel burial depth, the greater the probability of failure in the left part of the geotechnical body around this cavern, and the smaller the reliability indexes of these damage areas.
Open AccessA Calculation Method for Reliability Index of a Deep–Bedded Karst Tunnel Construction with Cavity Located Ahead of Tunnel Working Face
For the purpose of reliability quantitative assessment of the surrounding rock of the deeply embedded karst tunnel and the geological body around the cavern in the case of the cavern in the forepart of the tunnel face, on the basis of the upper bound limit analysis method, the energy dissipation theory, as well as the reliability theory, the dimensionless performance function of each damage area of the deeply buried karst tunnels could be established in the case of the cavern in the front of the tunnel face. Subsequently, the probability of failure and the reliability index of each damage region of the deep–bedded karst tunnel in the case of the cavern in the front of this tunnel face should be calculated through the Monte Carlo simulation sampling approach. The investigation has demonstrated that the larger the cohesion of the geotechnical body and the larger the internal friction angle within the geotechnical body, the larger the reliability indexes of the geotechnical bodies around the tunnel. The larger the diameter of the cavern and the larger the tunnel burial depth, the greater the probability of failure in the left part of the geotechnical body around this cavern, and the smaller the reliability indexes of these damage areas.
- Open Access
- 1 March 2024
- Published by MDPI AG in Applied Sciences
- Vol. 14 (5) , 2079
Sensitivity Analysis of Influencing Factors of Karst Tunnel Construction Based on Orthogonal Tests and a Random Forest Algorithm
To conduct a sensitivity analysis of the relevant parameters that impact the mechanics of tunnel construction in karst areas, firstly, the orthogonal design and range analysis method is applied to sort the 11 kinds of karst-tunnel-influencing factors from high to low according to the sensitivity degree. Secondly, the random forest algorithm based on an orthogonal experimental design is applied to the feature importance ranking of the influencing factors of karst tunnels. Thirdly, according to the results of the sensitivity analysis, the optimum combinations of influencing factors of tunnel construction in karst areas is obtained. The research based on these two methods shows that when taking the vertical displacement as the target variable, the parameters with the highest feature importance are A6 (tunnel diameter) and A10 (tunnel buried depth). When taking the first principal stress as the target variable, the most important influencing factors are A10 (tunnel buried depth) and A9 (location of karst cave). When taking the principal stress difference as the target variable, the most important influencing factors are A10 (tunnel buried depth) and A6 (tunnel diameter). The level combination of the 11 influencing factors obtained by taking the principal stress difference as the target variable was more balanced than the vertical displacement and the principal stress difference as the target variables. The results of this study will provide a theoretical basis to study key parameters in the response of mechanical characteristics to the safe construction of tunnels in karst areas.
- 1 March 2024
- Published by MDPI AG in Applied Sciences
- Vol. 14 (5) , 2079
Open AccessSensitivity Analysis of Influencing Factors of Karst Tunnel Construction Based on Orthogonal Tests and a Random Forest Algorithm
To conduct a sensitivity analysis of the relevant parameters that impact the mechanics of tunnel construction in karst areas, firstly, the orthogonal design and range analysis method is applied to sort the 11 kinds of karst-tunnel-influencing factors from high to low according to the sensitivity degree. Secondly, the random forest algorithm based on an orthogonal experimental design is applied to the feature importance ranking of the influencing factors of karst tunnels. Thirdly, according to the results of the sensitivity analysis, the optimum combinations of influencing factors of tunnel construction in karst areas is obtained. The research based on these two methods shows that when taking the vertical displacement as the target variable, the parameters with the highest feature importance are A6 (tunnel diameter) and A10 (tunnel buried depth). When taking the first principal stress as the target variable, the most important influencing factors are A10 (tunnel buried depth) and A9 (location of karst cave). When taking the principal stress difference as the target variable, the most important influencing factors are A10 (tunnel buried depth) and A6 (tunnel diameter). The level combination of the 11 influencing factors obtained by taking the principal stress difference as the target variable was more balanced than the vertical displacement and the principal stress difference as the target variables. The results of this study will provide a theoretical basis to study key parameters in the response of mechanical characteristics to the safe construction of tunnels in karst areas.
- Open Access
- 20 February 2024
- Published by MDPI AG in Applied Sciences
- Vol. 14 (5) , 1691
A Method for Calculating the Instability Probability in a Deeply Buried Tunnel Construction with a Hidden Karst Cave at the Bottom
In order to quantitatively assess the risk of deeply buried tunnel construction in the case of a hidden karst cave at the bottom of the tunnel, the first deeply buried tunnel construction failure model (PH−1) is firstly proposed based on the upper bound theorem of limit analysis and Protodyakonov’s theory. Thereafter, based on the upper bound theorem of limit analysis and the energy dissipation theory, the second deeply buried tunnel construction failure model (PH−2) is proposed. Furthermore, on the basis of the reliability theory, the dimensionless performance functions of each damage region under these two deeply buried tunnel construction damage modes are constructed. Finally, the instability probability of each damage region under the two damage modes is calculated using the Monte Carlo sampling method. This study suggests that the PH−1 failure model is not suitable for analysing the probability of instability in tunnel construction in hard plastic red clay strata, while the PH−2 failure model is appropriate for analysing the probability of instability in tunnel construction in hard plastic red clay strata. The worse the geological conditions, the larger the diameter of the cavern, the smaller the clearance between the cavern and the tunnel, and the greater the threat to safe tunnel construction.
- 20 February 2024
- Published by MDPI AG in Applied Sciences
- Vol. 14 (5) , 1691
Open AccessA Method for Calculating the Instability Probability in a Deeply Buried Tunnel Construction with a Hidden Karst Cave at the Bottom
In order to quantitatively assess the risk of deeply buried tunnel construction in the case of a hidden karst cave at the bottom of the tunnel, the first deeply buried tunnel construction failure model (PH−1) is firstly proposed based on the upper bound theorem of limit analysis and Protodyakonov’s theory. Thereafter, based on the upper bound theorem of limit analysis and the energy dissipation theory, the second deeply buried tunnel construction failure model (PH−2) is proposed. Furthermore, on the basis of the reliability theory, the dimensionless performance functions of each damage region under these two deeply buried tunnel construction damage modes are constructed. Finally, the instability probability of each damage region under the two damage modes is calculated using the Monte Carlo sampling method. This study suggests that the PH−1 failure model is not suitable for analysing the probability of instability in tunnel construction in hard plastic red clay strata, while the PH−2 failure model is appropriate for analysing the probability of instability in tunnel construction in hard plastic red clay strata. The worse the geological conditions, the larger the diameter of the cavern, the smaller the clearance between the cavern and the tunnel, and the greater the threat to safe tunnel construction.
- 1 January 2024
- Published by Editorial Office of Earth Science in Earth Science-Journal of China University of Geosciences
- Vol. 49 (11) , 4204-4215
基于人工智能变形预测隧道坍塌失效概率评估方法
《地球科学》(ISSN 1000-2383;CN42-1874/P) (原刊名《地球科学——中国地质大学学报》ISSN 1000-2383;CN42-1233/P),创刊于1957年,是由教育部主管、中国地质大学主办的综合性地学学术理论期刊,月刊,2015年改名为《地球科学》,她以反映中国地质大学教学与科研最新的、高水平的基础地质、应用地质、资源与环境地质及地学工程技术研究成果为主要任务。
- 1 January 2024
- Published by Editorial Office of Earth Science in Earth Science-Journal of China University of Geosciences
- Vol. 49 (11) , 4204-4215
基于人工智能变形预测隧道坍塌失效概率评估方法
《地球科学》(ISSN 1000-2383;CN42-1874/P) (原刊名《地球科学——中国地质大学学报》ISSN 1000-2383;CN42-1233/P),创刊于1957年,是由教育部主管、中国地质大学主办的综合性地学学术理论期刊,月刊,2015年改名为《地球科学》,她以反映中国地质大学教学与科研最新的、高水平的基础地质、应用地质、资源与环境地质及地学工程技术研究成果为主要任务。
- 25 September 2023
- Published by Springer Nature in Natural Hazards
- Vol. 119 (3) , 1149-1170
Improved unascertained measure model for risk evaluation of collapse in highway tunnels
- 25 September 2023
- Published by Springer Nature in Natural Hazards
- Vol. 119 (3) , 1149-1170
Improved unascertained measure model for risk evaluation of collapse in highway tunnels
- Open Access
- 27 June 2023
- Published by MDPI AG in Sustainability
- Vol. 15 (13) , 10162
A Multi-Source Intelligent Fusion Assessment Method for Dynamic Construction Risk of Subway Deep Foundation Pit: A Case Study
The construction of a subway deep foundation pit is complex and risky, thus multiple safety risk factors bring great challenges to evaluating the safety status accurately. Advanced monitoring technology equipment could obtain a large number of monitoring data, and how integrating complex and diversified monitoring data to assess the safety risk of foundation pits has become a new problem. Therefore, an intelligent multi-source fusion assessment model is proposed. This model is mainly used for solving risk probability distribution, deep learning, and intelligent prediction of monitoring indicators, and then evaluating safety status by fusing various parameters of multiple indicators. Thus, based on the data of deep learning and the measured multivariate data, the dynamic risk during foundation pit construction can be obtained. Moreover, a typical case study was performed through monitoring and carrying out the risk assessment which is located at the Martyrs’ Lingyuan Station of Jinnan Metro Line R2, China. In this case, the PSO-SVM and LSTM models are used to predict the deformation trend, and the monitoring data is reliable with high precision. After multi-index fusion model calculation, the results show that the foundation pit structure is in a safe state, and the evaluation situation is basically consistent with the site. Consequently, the prediction of the new multi-source intelligent fusion risk assessment method is convincing.
- 27 June 2023
- Published by MDPI AG in Sustainability
- Vol. 15 (13) , 10162
Open AccessA Multi-Source Intelligent Fusion Assessment Method for Dynamic Construction Risk of Subway Deep Foundation Pit: A Case Study
The construction of a subway deep foundation pit is complex and risky, thus multiple safety risk factors bring great challenges to evaluating the safety status accurately. Advanced monitoring technology equipment could obtain a large number of monitoring data, and how integrating complex and diversified monitoring data to assess the safety risk of foundation pits has become a new problem. Therefore, an intelligent multi-source fusion assessment model is proposed. This model is mainly used for solving risk probability distribution, deep learning, and intelligent prediction of monitoring indicators, and then evaluating safety status by fusing various parameters of multiple indicators. Thus, based on the data of deep learning and the measured multivariate data, the dynamic risk during foundation pit construction can be obtained. Moreover, a typical case study was performed through monitoring and carrying out the risk assessment which is located at the Martyrs’ Lingyuan Station of Jinnan Metro Line R2, China. In this case, the PSO-SVM and LSTM models are used to predict the deformation trend, and the monitoring data is reliable with high precision. After multi-index fusion model calculation, the results show that the foundation pit structure is in a safe state, and the evaluation situation is basically consistent with the site. Consequently, the prediction of the new multi-source intelligent fusion risk assessment method is convincing.
- Open Access
- 3 February 2023
- Published by Springer Nature in Scientific Reports
- Vol. 13 (1) , 1-14
Research on blasting cumulative dynamic damage of surrounding rock in step construction tunnel
In the process of cyclic blasting during tunnel excavation, the reserved surrounding rock sustains irreparable damage accumulation. For safe tunnel construction, it is imperative to understand the characteristics of blasting dynamic cumulative rock damage. Sonic wave test and numerical simulation methods were applied to the research. The JH-2 model was adopted as the damage model of surrounding rock. Based on the data transfer method between solvers in ABAQUS software, the cumulative damage was calculated. The damage characteristics were obtained by combining the sonic wave test results. According to the research findings, the entire reserved surrounding rock has periodic damage characteristics. Each periodic damage area has a funnel shape along the tunnel’s longitudinal direction, with a length of 160 cm, and 1.07 times the excavation footage. The latter excavation footage's blasting effect on the damaged area of the previous footage rock is 40 cm long, with three cumulative damage patterns. The three cumulative damage patterns more clearly reveal the surrounding rock's additional damage law, the degree of additional damage is greatest with the distance of 5–20 cm from the latter excavation footage. The research can provide appropriate theoretical guidance for the design of the step-blasting construction tunnel's blasting scheme and lining.
- 3 February 2023
- Published by Springer Nature in Scientific Reports
- Vol. 13 (1) , 1-14
Open AccessResearch on blasting cumulative dynamic damage of surrounding rock in step construction tunnel
In the process of cyclic blasting during tunnel excavation, the reserved surrounding rock sustains irreparable damage accumulation. For safe tunnel construction, it is imperative to understand the characteristics of blasting dynamic cumulative rock damage. Sonic wave test and numerical simulation methods were applied to the research. The JH-2 model was adopted as the damage model of surrounding rock. Based on the data transfer method between solvers in ABAQUS software, the cumulative damage was calculated. The damage characteristics were obtained by combining the sonic wave test results. According to the research findings, the entire reserved surrounding rock has periodic damage characteristics. Each periodic damage area has a funnel shape along the tunnel’s longitudinal direction, with a length of 160 cm, and 1.07 times the excavation footage. The latter excavation footage's blasting effect on the damaged area of the previous footage rock is 40 cm long, with three cumulative damage patterns. The three cumulative damage patterns more clearly reveal the surrounding rock's additional damage law, the degree of additional damage is greatest with the distance of 5–20 cm from the latter excavation footage. The research can provide appropriate theoretical guidance for the design of the step-blasting construction tunnel's blasting scheme and lining.
- Open Access
- 24 October 2022
- Published by Springer Nature in Research Square
Research on blasting cumulative dynamic damage of surrounding rock in step construction tunnel
In tunnel excavation by blasting, the reserved surrounding rock produces irreversible damage accumulation under the action of cyclic blasting. It is essential to clarify the characteristics of blasting dynamic cumulative damage of surrounding rock for safe drilling and blasting tunnel construction. Based on the ABAQUS simulation software and the data transfer method between solvers, the cumulative damage evolution of the reserved surrounding rock was calculated under the action of seven cyclic blasting excavations. The cumulative dynamic damage characteristics of the reserved surrounding rock were obtained by combining the field sonic wave test results. The results show that the whole reserved surrounding rock of the cyclic blasting excavation section has periodic damage characteristics. Each periodic damage area presents a funnel shape along the longitudinal direction of the tunnel, with a length of 160cm, which is 1.07 times the excavation footage. The blasting effect of the latter excavation footage on the damaged area of the reserved surrounding rock of the previous excavation footage is 40 cm in length, with three cumulative damage patterns. The research can provide relevant theoretical guidance for the blasting scheme design and support lining design of the step-blasting construction tunnel.
- 24 October 2022
- Published by Springer Nature in Research Square
Open AccessResearch on blasting cumulative dynamic damage of surrounding rock in step construction tunnel
In tunnel excavation by blasting, the reserved surrounding rock produces irreversible damage accumulation under the action of cyclic blasting. It is essential to clarify the characteristics of blasting dynamic cumulative damage of surrounding rock for safe drilling and blasting tunnel construction. Based on the ABAQUS simulation software and the data transfer method between solvers, the cumulative damage evolution of the reserved surrounding rock was calculated under the action of seven cyclic blasting excavations. The cumulative dynamic damage characteristics of the reserved surrounding rock were obtained by combining the field sonic wave test results. The results show that the whole reserved surrounding rock of the cyclic blasting excavation section has periodic damage characteristics. Each periodic damage area presents a funnel shape along the longitudinal direction of the tunnel, with a length of 160cm, which is 1.07 times the excavation footage. The blasting effect of the latter excavation footage on the damaged area of the reserved surrounding rock of the previous excavation footage is 40 cm in length, with three cumulative damage patterns. The research can provide relevant theoretical guidance for the blasting scheme design and support lining design of the step-blasting construction tunnel.