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学者姓名：黄明
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Abstract ：
在近接施工问题中,精准评估邻近建筑施工对既有建、构筑物的影响较为困难,且无法进行智能化预测.文章基于IFC拓展模型,建立4个包含隧道变形影响因素的拓展属性集,并结合机器学习算法及Python编程语言,提出一种邻近施工影响下既有隧道变形的智能预测方法.首先,通过数值模拟方法进行力学仿真试验和邻近施工工况模拟,得到两者对应的时序数据集以补充拓展属性集的信息;然后,通过数据处理手段,完善监测信息和场地降雨的时序数据集;最后,采用LSTM机器学习算法对4种时序数据集进行学习,以此建立完整的智能预测方法.结果表明:建立的力学仿真数据集、加卸载数据集、桩基施工数据集及场地降雨数据集对隧道变形产生不同程度的影响,基于LSTM的智能预测方法可以很好地预测邻近施工复杂环境下既有隧道的变形.
Keyword ：
IFC模型 IFC模型 地铁 地铁 数值模拟 数值模拟 智能建造 智能建造 机器学习 机器学习
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| GB/T 7714 | 安武斌 , 游黄斌 , 黄睿奕 et al. 邻近施工对既有地铁隧道变形影响分析及智能预测 [J]. | 现代城市轨道交通 , 2025 , (3) : 18-25 . |
| MLA | 安武斌 et al. "邻近施工对既有地铁隧道变形影响分析及智能预测" . | 现代城市轨道交通 3 (2025) : 18-25 . |
| APA | 安武斌 , 游黄斌 , 黄睿奕 , 冯萌萌 , 张元超 , 黄明 . 邻近施工对既有地铁隧道变形影响分析及智能预测 . | 现代城市轨道交通 , 2025 , (3) , 18-25 . |
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海域吹填砂地层在自重固结作用下易产生差异沉降形成起伏地表,浅埋盾构隧道在该类地层掘进时开挖面常处于被动土压模式,传统开挖面稳定性理论分析模型欠缺对以上两类影响因素的综合考虑,亟需探索针对起伏地表情况下更为精确的开挖面被动破坏分析模型.通过数值模拟研究了地表纵向坡度δ1和横向坡度δ2对极限支护压力和破坏区的影响,并根据数值模拟得到破坏区的范围.然后采用空间离散化技术,提出一种三维被动破坏模型,通过极限分析法推导了极限支护压力的上限解.分析结果表明:在实际工程中起伏地表双向坡度的影响不可忽略,地表纵向坡度δ1比横向坡度δ2对极限支护压力的影响更为明显;横向坡度δ2对破坏区范围的影响比纵向坡度δ1更为显著.最后,通过与数值模型和现有方法比较并结合工程实例验证,发现所提出的理论模型与数值模型模拟的结果更为接近.上述研究成果可为复杂地形下盾构法施工提供理论指导.
Keyword ：
上限法分析 上限法分析 双向坡度 双向坡度 吹填砂地层 吹填砂地层 浅埋盾构隧道 浅埋盾构隧道 被动破坏 被动破坏 起伏地表 起伏地表
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| GB/T 7714 | 钱伟丰 , 黄明 , 曾子圣 et al. 双向起伏地表浅埋盾构隧道开挖面三维被动失稳极限支护压力上限解 [J]. | 应用基础与工程科学学报 , 2025 , 33 (1) : 273-288 . |
| MLA | 钱伟丰 et al. "双向起伏地表浅埋盾构隧道开挖面三维被动失稳极限支护压力上限解" . | 应用基础与工程科学学报 33 . 1 (2025) : 273-288 . |
| APA | 钱伟丰 , 黄明 , 曾子圣 , 王禹 , 胡艳峰 . 双向起伏地表浅埋盾构隧道开挖面三维被动失稳极限支护压力上限解 . | 应用基础与工程科学学报 , 2025 , 33 (1) , 273-288 . |
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酶诱导碳酸钙沉淀技术（EICP）是一种环保高效的土体加固技术，钙源的种类可能会影响其加固效果。为定量化分析钙源对EICP固化钙质砂的影响，本文开展了不同钙源（氯化钙、醋酸钙、乳酸钙、硝酸钙）和不同Ca
Keyword ：
微观机理 微观机理 无侧限抗压强度 无侧限抗压强度 渗透性 渗透性 酶诱导碳酸钙沉淀技术(EICP) 酶诱导碳酸钙沉淀技术(EICP) 钙源 钙源 钙质砂 钙质砂
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| GB/T 7714 | 姜启武 , 黄明 , 崔明娟 et al. 钙源和Ca [J]. | 工程地质学报 , 2025 , 33 (03) : 908-918 . |
| MLA | 姜启武 et al. "钙源和Ca" . | 工程地质学报 33 . 03 (2025) : 908-918 . |
| APA | 姜启武 , 黄明 , 崔明娟 , 宋卿 , 许凯 , 李爽 . 钙源和Ca . | 工程地质学报 , 2025 , 33 (03) , 908-918 . |
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Enzyme-induced carbonate precipitation (EICP) has emerged as an environment-friendly solution for soil improvement. As a composite material, it is challenging to determine the micromechanical properties of EICP-reinforced sand using common macromechanical tests. In this work, a systematic study was conducted to determine the micromechanical properties of EICP-reinforced sand. The development of the micromechanical properties obtained from indentations along the route of "sand particle-CaCO3-sand particle" was examined. The width of the interfacial transition zone (ITZ) in EICP-reinforced sand was investigated. The effect of the reaction environment on ductility (i.e., the ratio of elastic modulus over hardness) of CaCO3 was investigated. The experimental results have identified that the width of ITZ in EICP-reinforced sand ranges from 0 to 180 mu m, which is significantly influenced by the crystal crystallinity or crystal morphology of CaCO3. The presence of porous media (i.e., sand particles) leads to the decrease in impurity content in the crystal formation environment, resulting in the lower ductility of CaCO3 accordingly. The mean value of fracture toughness of CaCO3 precipitation was identified to be the lowest one among sand particles, CaCO3 precipitation, and sand particles-CaCO3 interface. The lowest fracture toughness of CaCO3 indicating the failure of biocementation is derived from the CaCO3-CaCO3 breakage.
Keyword ：
Bio-geotechnics Bio-geotechnics Enzyme-induced carbonate precipitation (EICP) Enzyme-induced carbonate precipitation (EICP) Microindentation test Microindentation test Micromechanical properties Micromechanical properties Soil stabilization Soil stabilization
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| GB/T 7714 | Xu, Kai , Huang, Ming , Cui, Mingjuan et al. Micromechanical properties and bonding fracture of EICP-reinforced sand analyzed using microindentation test [J]. | ACTA GEOTECHNICA , 2025 , 20 (7) : 3543-3561 . |
| MLA | Xu, Kai et al. "Micromechanical properties and bonding fracture of EICP-reinforced sand analyzed using microindentation test" . | ACTA GEOTECHNICA 20 . 7 (2025) : 3543-3561 . |
| APA | Xu, Kai , Huang, Ming , Cui, Mingjuan , Jin, Guixiao , Li, Shuang . Micromechanical properties and bonding fracture of EICP-reinforced sand analyzed using microindentation test . | ACTA GEOTECHNICA , 2025 , 20 (7) , 3543-3561 . |
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Biomineralization has been used for the treatment of calcareous sand to improve its properties. Although many studies have been performed on the biomineralized calcareous sand under freshwater conditions, few studies were focused on the behaviors of calcareous sand in seawater. As the freshwater is scarce in island areas, the freshwater-based biomineralization technology may be unsuitable for the treatment. In this study, seawater-based bacterial enzyme induced carbonate precipitation (BEICP) was proposed to treat calcareous sand. A series of tests were conducted to verify the feasibility and efficiency of this treatment method through investigating the effects of seawater on the biomineralization and the properties of biomineralized calcareous sand in comparison with microbially induced carbonate precipitation (MICP). Test results reveal that seawater leads to the decrease of urease activity of bacterial cells and urease. NaCl, MgCl2, Na2SO4, and CaCl2 are the main inhibitory components in seawater, of which MgCl2 and CaCl2 have a strong influence on the urease activity of bacterial cells and urease, respectively. Compared to MICP treatment, BEICP-treated calcareous sand exhibits higher unconfined compressive strength and better biomineralization effects. The findings of this study can contribute to the application of biomineralization technology in island areas. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.
Keyword ：
Bacterial enzyme-induced carbonate precipitation Bacterial enzyme-induced carbonate precipitation Biomineralization Biomineralization Calcareous sand Calcareous sand Seawater Seawater Strength Strength
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| GB/T 7714 | Cui, M.-J. , Wu, J.-B. , Lai, H.-J. et al. Seawater-based bacterial enzyme induced carbonate precipitation for biomineralization of calcareous sand [J]. | Acta Geotechnica , 2025 . |
| MLA | Cui, M.-J. et al. "Seawater-based bacterial enzyme induced carbonate precipitation for biomineralization of calcareous sand" . | Acta Geotechnica (2025) . |
| APA | Cui, M.-J. , Wu, J.-B. , Lai, H.-J. , Huang, M. , Zheng, J.-J. , Hu, X. et al. Seawater-based bacterial enzyme induced carbonate precipitation for biomineralization of calcareous sand . | Acta Geotechnica , 2025 . |
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Accurate prediction of shield machine position and attitude is crucial for ensuring the quality of tunnel construction. However, current machine learning models for predicting the position and attitude deviations of shield machines encounter significant challenges in achieving reliable long-term forecasting during shield tunneling. This study introduces a novel deep learning model, termed 1DCNN-Informer, which integrates the onedimensional convolutional neural network (1DCNN) and the Informer model. The model was trained and validated using datasets from the Nanjing Metro shield tunnel project in China. Furthermore, the 1DCNN-Informer model was transferred to datasets from both similar and different geological conditions using the domain adversarial neural network (DANN) transfer learning method. The importance of input features was analyzed using the Shapley additive explanations (SHAP) method, complemented by experiments with various input parameter combinations. Results demonstrate that the 1DCNN-Informer model achieves superior performance compared to the Informer model and surpasses other comparative models, such as PatchTST, iTransformer, and Dlinear, in the majority of input sequence length and prediction sequence length combinations. Additionally, the DANN transfer learning method significantly enhances the 1DCNN-Informer model's performance in the target domains dataset. The cutterhead rotation speed, advance speed, and chamber pressure are of critical importance in the prediction of shield position and attitude deviation. The proposed model not only represents a significant advancement in intelligent shield tunneling but also holds potential for broader application in automated equipment operations and multi-domain transfer learning studies in the field of engineering.
Keyword ：
Deep learning Deep learning Informer Informer Long-term forecasting Long-term forecasting Shield machine Shield machine Transfer learning Transfer learning
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| GB/T 7714 | Zhen, Jiajie , Huang, Ming , Li, Shuang et al. Long-term forecasting of shield tunnel position and attitude deviation using the 1DCNN-informer method [J]. | ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH , 2025 , 63 . |
| MLA | Zhen, Jiajie et al. "Long-term forecasting of shield tunnel position and attitude deviation using the 1DCNN-informer method" . | ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH 63 (2025) . |
| APA | Zhen, Jiajie , Huang, Ming , Li, Shuang , Xu, Kai , Zhao, Qianghu . Long-term forecasting of shield tunnel position and attitude deviation using the 1DCNN-informer method . | ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH , 2025 , 63 . |
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Microbial-induced carbonate precipitation (MICP) technique has the potential to be an eco-friendly and sustainable solution for engineering problems. Despite the extensive amount of research that has been conducted recently on the MICP technique, there are few studies on the constitutive model of MICP-treated specimens. In this study, the statistical damage constitutive model of MICP-treated specimens was established based on the statistical theory and damage mechanics theory. The proposed model assumed that the microelement strength of biocemented sand follows the lognormal distribution and the Drucker-Prager criterion. The parameters S0 and F0 in the constitutive model were determined, and their physical significance was then discussed. The reasonableness of the proposed model was verified by comparing the theoretical results and the experimental results. The evolution of the damage variable (D), parameter S0, and parameter F0 with different calcium carbonate content (CCC) was analyzed. The statistical damage model based on the lognormal distribution was then compared with that based on the Weibull distribution. The results show that the parameter F0 and S0 can reflect the limiting strength and brittleness of MICP-treated specimens.. The specimens with higher cementation tend to have a higher accelerated damage rate. The damage variables eventually reach a stable value as the axial deformation increases. The proposed model can reflect the strain softening and strain hardening phenomena well, which can also represent the shear expansion and shear contraction characteristics of the volume strain curve. Overall, the research in this study can provide some theoretical support for the engineering application of MICP-treated specimens.
Keyword ：
Calcium carbonate content Calcium carbonate content Damage intrinsic model Damage intrinsic model Drucker-Prager criterion Drucker-Prager criterion Lognormal distribution Lognormal distribution Microbial-induced carbonate precipitation (MICP) Microbial-induced carbonate precipitation (MICP)
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| GB/T 7714 | Jiang, Qiwu , Huang, Ming , Xu, Kai et al. Statistical damage constitutive model of MICP-treated specimens based on lognormal distribution [J]. | ACTA GEOTECHNICA , 2025 , 20 (4) : 1759-1775 . |
| MLA | Jiang, Qiwu et al. "Statistical damage constitutive model of MICP-treated specimens based on lognormal distribution" . | ACTA GEOTECHNICA 20 . 4 (2025) : 1759-1775 . |
| APA | Jiang, Qiwu , Huang, Ming , Xu, Kai , Cui, Mingjuan , Li, Shuang , Jin, Guixiao . Statistical damage constitutive model of MICP-treated specimens based on lognormal distribution . | ACTA GEOTECHNICA , 2025 , 20 (4) , 1759-1775 . |
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In situ recycling is one of the most effective methods to dispose of earth pressure balance (EPB) shield waste muck with residual foaming agents with high moisture content. In this context, response surface methodology (RSM) was employed to quantify the effects of independent variables, including flocculant dosage, defoamer dosage, and muck drying mass (MDM) and their interactions on defoamingflocculation-dewatering indices. The polymeric aluminum chloride (PACL) and hydroxy silicone oilglycerol polypropylene ether (H-G) were selected as the flocculant and defoamer. The contents of surfactants and foam stabilizers in residual foaming agents were determined using the proposed empirical equation. The defoaming ratio, antifoaming ratio, turbidity, moisture content, filtration loss ratio, and fall cone penetration depth were considered as dependent variables. The accuracy of developed RSM models was verified by the analysis results of variance, residuals, and paired t-test. Combined with the desirability approach, an optimal mixing ratio of 0.078 wt% PACL, 0.016 wt% H-G, and 27.882 wt% MDM was recommended, leading to a defoaming ratio of 98.34 vol% for residual foams and a moisture content of 56.72 wt% for pressure-filtration cakes. Our findings were demonstrated to be able to provide useful guidance for prediction and optimization of the in situ recycling indicators of EPB shield waste muck in metro tunnel construction sites. (c) 2025 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/ 4.0/).
Keyword ：
Desirability approach Desirability approach EPB shield EPB shield Muck recycling Muck recycling Multiobjective optimization Multiobjective optimization Response surface methodology (RSM) Response surface methodology (RSM)
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| GB/T 7714 | Lu, Yao , Huang, Ming , Zhang, Chengzhao et al. Optimization of defoaming-flocculation-dewatering indices of earth pressure balance (EPB) shield muck using response surface methodology and desirability approach [J]. | JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING , 2025 , 17 (2) : 1134-1148 . |
| MLA | Lu, Yao et al. "Optimization of defoaming-flocculation-dewatering indices of earth pressure balance (EPB) shield muck using response surface methodology and desirability approach" . | JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING 17 . 2 (2025) : 1134-1148 . |
| APA | Lu, Yao , Huang, Ming , Zhang, Chengzhao , Wang, Bingnan , Peng, Liqian , Wei, Wei . Optimization of defoaming-flocculation-dewatering indices of earth pressure balance (EPB) shield muck using response surface methodology and desirability approach . | JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING , 2025 , 17 (2) , 1134-1148 . |
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In tunnelling using tunnel boring machine (TBM), the surrounding rocks are typically supported by precast lining segments, pea-gravel backfilling and grouting. The compactness of the backfill layer is critical for ensuring the safety of the tunnel construction. However, poor fluidity of cement generally leads to uneven grouting effects, resulting in lower density in certain areas of the backfill layer. In contrast, enzyme-induced carbonate precipitation (EICP) is an environmentally friendly and sustainable technique which has superior mobility and diffusivity compared to cement. To investigate the reinforcement effects of EICP technique on backfill layer, a series of bio-cemented sand column tests and model tests were conducted in this study. The optimal working range of pea gravel and sand for effective bio-cementation were determined by comparing the permeability, unconfined compressive strength (UCS), calcium carbonate content (CCC), and wave velocity of bio-cemented sand columns. The effects and homogeneity of reinforcement based on model tests were assessed by point load tests, wave velocity measurements, and calcium carbonate content evaluations. The model tests with different grouting hole layout density were conducted to obtain the optimal hole placement scheme. The column test results demonstrated that the optimal working range of pea gravel to sand ratio for effective bio-cementation is 1.25-1.5. As the number of grouting cycles increases, the point load strength, wave velocity, CCC and UCS of the specimens increase while the permeability of the specimens decreases. The point load strength of bio-cemented specimens could reach up to 16.53 MPa, while the permeability was reduced by three orders of magnitude compared with that of untreated specimens. The EICP has been demonstrated to be an effective technique capable of improving the compactness and strength of the backfill layer, with aggregates effectively cemented by calcium carbonate generated. The model test results demonstrated that the full-coverage arrangement hole scheme achieves uniform cementation, while the space arrangement hole scheme produces concentrated CaCO3 near grouting holes. Furthermore, a new and improved grouting scheme is proposed based on the model test results. The data obtained in this study offer valuable references for the reinforcement of the backfill layer in TBM tunnelling using the EICP technology.
Keyword ：
Backfill layer reinforcement Backfill layer reinforcement (EICP) (EICP) Enzyme-induced carbonate precipitation Enzyme-induced carbonate precipitation Micromechanism Micromechanism Pea gravel Pea gravel Tunnel boring machine (TBM) Tunnel boring machine (TBM) Wave velocity Wave velocity
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| GB/T 7714 | Huang, Ming , Jiang, Qiwu , Xu, Kai et al. Feasibility analysis of EICP technique for reinforcing backfill layer behind TBM tunnel linings based on model tests [J]. | TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY , 2025 , 155 . |
| MLA | Huang, Ming et al. "Feasibility analysis of EICP technique for reinforcing backfill layer behind TBM tunnel linings based on model tests" . | TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY 155 (2025) . |
| APA | Huang, Ming , Jiang, Qiwu , Xu, Kai , Xu, Chaoshui . Feasibility analysis of EICP technique for reinforcing backfill layer behind TBM tunnel linings based on model tests . | TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY , 2025 , 155 . |
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A rigorous mathematical model is developed to analyze the kinematic response of monopiles embedded in the seabed under vertically incident P-waves. The seabed is considered to consist of nearly saturated soil, in which the mixture of pore water and dissolved air bubbles is treated as a homogeneous fluid phase. The governing equations of soil and pile are formulated using the Biot's poroelastodynamic theory and one-dimensional bar vibration theory, respectively. The frictional forces between the inner and outer soil layers are derived, and a closed-form series solution for the monopile's vertical seismic response is obtained by applying the boundary conditions of the pile-soil system. The proposed solution is validated through comparisons with existing studies and is subsequently used to explore the effects of key parameters and the role of inner soil on the seismic behavior of the soil-pile system, leading to several significant conclusions.
Keyword ：
Kinematic response Kinematic response Monopile Monopile Nearly saturated soil Nearly saturated soil P waves P waves
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| GB/T 7714 | Zheng, Changjie , Yang, Jingquan , Shiau, Jim et al. Vertical kinematic response of monopiles subjected to vertically propagating seismic P-waves [J]. | OCEAN ENGINEERING , 2025 , 318 . |
| MLA | Zheng, Changjie et al. "Vertical kinematic response of monopiles subjected to vertically propagating seismic P-waves" . | OCEAN ENGINEERING 318 (2025) . |
| APA | Zheng, Changjie , Yang, Jingquan , Shiau, Jim , Huang, Ming . Vertical kinematic response of monopiles subjected to vertically propagating seismic P-waves . | OCEAN ENGINEERING , 2025 , 318 . |
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