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A spatiotemporal deep learning method for excavation-induced wall deflections

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第8期16卷 3327-3338页

作者： Yuanqin Tao Shaoxiang Zeng Honglei Sun Yuanqiang Cai jinzhang Zhang Xiaodong Pan College of Civil Engineering Zhejiang University of TechnologyHangzhou310023China Ministry of Education(MOE)Key Laboratory of Soft Soils and Geoenvironmental Engineering(SSGeo) Zhejiang UniversityHangzhou310058China Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education and Department of Geotechnical Engineering Tongji UniversityShanghai200092China

Data-driven approaches such as neural networks are increasingly used for deep excavations due to the growing amount of available monitoring data in practical ***,most neural network models only use the data from a single monitoring point and neglect the spatial relationships between multiple monitoring ***,most models lack flexibility in providing predictions for multiple days after monitoring *** study proposes a sequence-to-sequence(seq2seq)two-dimensional(2D)convolutional long short-term memory neural network(S2SCL2D)for predicting the spatiotemporal wall deflections induced by deep *** model utilizes the data from all monitoring points on the entire wall and extracts spatiotemporal features from data by combining the 2D convolutional layers and long short-term memory(LSTM)*** S2SCL2D model achieves a long-term prediction of wall deflections through a recursive seq2seq *** excavation depth,which has a significant impact on wall deflections,is also considered using a feature fusion *** excavation project in Hangzhou,China,is used to illustrate the proposed *** results demonstrate that the S2SCL2D model has superior prediction accuracy and robustness than that of the LSTM and S2SCL1D(one-dimensional)*** prediction model demonstrates a strong generalizability when applied to an adjacent *** on the long-term prediction results,practitioners can plan and allocate resources in advance to address the potential engineering issues.

关键词： Braced excavation Wall deflections Deep learning Convolutional layer Long short-term memory(LSTM) Sequence to sequence(seq2seq)

Centrifuge modeling of a large-scale surcharge on adjacent foundation

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第8期16卷 3181-3191页

作者： jinzhang Zhang Zhenwei Ye Dongming Zhang Hongwei Huang Shijie Han Tong Zou Le Zhang Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education and Department of Geotechnical Engineering Tongji UniversityShanghai200092China CCCC Third Harbor Consultants Co LtdShanghai200032China Qingdao Conson Jiaozhou Bay Second Subsea Tunnel Co. LtdQingdao266000China

This study investigates the ground and structural response of adjacent raft foundations induced by largescale surcharge by ore in soft soil areas through a 130g centrifuge modeling test with an innovative layered loading *** prototype of the test is a coastal iron ore yard with a natural foundation of deep soft ***,it is necessary to adopt some measures to reduce the influence of the large-scale surcharge on the adjacent raft foundation,such as installing stone columns for foundation *** an acceleration of 130 g,the model conducts similar simulations of iron ore,stone columns,and raft foundation *** tested soil mass has dimensions of 900 mm×700 mm×300 mm(lengthwidthdepth),which is remodeled from the soil extracted from the drilling *** test conditions are consistent with the actual engineering conditions and the effects of four-level loading conditions on the composite foundation of stone columns,unreinforced zone,and raft foundations are *** automatic layer-by-layer loading device was innovatively developed to simulate the loading process of actual engineering more *** composite foundation of stone columns had a large settlement after the loading,forming an obvious settlement trough and causing the surface of the unreinforced zone to *** 12 m surcharge loading causes a horizontal displacement of 13.19 cm and a vertical settlement of 1.37 m in the raft *** stone columns located on both sides of the unreinforced zone suffered significant shear damage at the sand-mud *** to the reinforcement effect of stone columns,the sand layer below the top of the stone columns moves ***,the horizontal earth pressure in the raft foundation zone increases *** stone columns will form new drainage channels and accelerate the dissipation of excess pore pressure.

关键词： Centrifuge modeling Stone column Composite foundation Ground movement Raft foundation

Interpreting random fields through the U-Net architecture for failure mechanism and deformation predictions of geosystems

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Geoscience Frontiers 2024年第1期15卷 209-224页

作者： Ze Zhou Wang jinzhang Zhang Hongwei Huang Department of Civil and Environmental Engineering National University of SingaporeSingapore 117576Singapore Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education and Department of Geotechnical Engineering Tongji UniversityShanghai 200092China

The representation of spatial variation of soil properties in the form of random fields permits advanced probabilistic assessment of slope *** many studies,the safety margin of the system is typically characterized by the term“probability of failure(Pfailure)”.As the intensity and spatial distribution of soil properties vary in different random field realizations,the failure mechanism and deformation field of a slope can vary as *** only can the location of the failure surfaces vary,but the mode of failure also *** information is equally valuable to engineering *** this paper,two slope examples that are modified from a real case study are *** first example pertains to the stability analysis of a multi-layer-slope while the second example deals with the serviceability analysis of a multi-layer c-φ*** addition,due to the large number of simulations needed to reveal the full picture of the failure mechanism,Convolutional Neural Networks(CNNs)that adopt a U-Net architecture is proposed to offer a soft computing strategy to facilitate the *** spatial distribution of the failure surfaces,the statistics of the sliding volume,and the statistics of the deformation field are *** results also show that the proposed deep-learning model is effective in predicting the failure mechanism and deformation field of slopes in spatially variable soils;therefore encouraging probabilistic study of slopes in practical scenarios.

关键词： Deep-learning Spatial variability Slope stability Failure mechanism Sliding volume

A novel engineered IL-21 receptor arms T-cell receptor-engineered T cells(TCR-T cells)against hepatocellular carcinoma

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Signal Transduction and Targeted Therapy 2024年第5期9卷 2215-2230页

作者： Wei Zhu Zhiming Zhang jinzhang Chen Xiaolan Chen Lei Huang Xiaoyong Zhang Xuan Huang Na Ma Weikang Xu Xuan Yi Xinyu Lu Xin Fu Siwei Li Guoheng Mo Yiyue Wang Guosheng Yuan Mengya Zang Qi Li Xiaotao Jiang Yajing He Sha Wu Yukai He Yongyin Li Jinlin Hou State Key Laboratory of Organ Failure Research Guangdong Provincial Key Laboratory of Viral Hepatitis ResearchDepartment of Infectious DiseasesNanfang HospitalSouthern Medical UniversityGuangzhouChina Institute of Cellular Medicine Newcastle University Medical SchoolNewcastleUK Department of Pathology The First People’s Hospital of FoshanFoshanChina Dermatology Hospital Southern Medical UniversityGuangzhouChina Department of Immunology School of Basic Medical SciencesSouthern Medical UniversityGuangzhouChina Microbiome Medicine Center Department of Laboratory MedicineZhujiang HospitalSouthern Medical UniversityGuangzhouChina Key Laboratory of Proteomics of Guangdong Province Demonstration Center for Experimental Education of Basic Medical Sciences of ChinaGuangzhouChina Medical College of Georgia Augusta University112015th StreetAugustaGAUSA

Strategies to improve T cell therapy efficacy in solid tumors such as hepatocellular carcinoma(HCC)are urgently *** common cytokine receptorγchain(γc)family cytokines such as IL-2,IL-7,IL-15 and IL-21 play fundamental roles in T cell development,differentiation and effector *** study aims to determine the combination effects of IL-21 in T cell therapy against HCC and investigate optimized strategies to utilize the effect of IL-21 signal in T cell *** antitumor function of AFP-specific T cell receptor-engineered T cells(TCR-T)was augmented by exogenous IL-21 in vitro and in ***-21 enhanced proliferation capacity,promoted memory differentiation,downregulated PD-1 expression and alleviated apoptosis in TCR-T after activation.A novel engineered IL-21 receptor was established,and TCR-T armed with the novel engineered IL-21 receptors(IL-21R-TCR-T)showed upregulated phosphorylated STAT3 expression without exogenous IL-21 ***-21R-TCR-T showed better proliferation upon activation and superior antitumor function in vitro and in ***-21R-TCR-T exhibited a less differentiated,exhausted and apoptotic phenotype than conventional TCR-T upon repetitive tumor antigen *** novel IL-21 receptor in our study programs powerful TCR-T and can avoid side effects induced by IL-21 systemic *** novel IL-21 receptor creates new opportunities for next-generation TCR-T against HCC.

关键词： hepatocellular TCR utilize

内蒙古铁北煤矿褐煤的CO_(2)/CH_(4)/N_(2)竞争吸附微观特性研究

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煤炭转化 2024年第5期47卷 10-23页

作者：贾进章肖聆伊辽宁工程技术大学安全科学与工程学院辽宁阜新123000 辽宁工程技术大学矿山热动力灾害与防治教育部重点实验室辽宁葫芦岛125100

为研究煤对CO_(2),CH_(4)和N_(2)混合气体的竞争吸附特性及微观机理,以内蒙古铁北煤矿褐煤为研究对象,基于元素分析、固体^(13)C核磁共振光谱(^(13)C NMR)分析、傅立叶红外光谱(FTIR)分析、X射线光电子能谱(XPS)分析和X射线衍射(XRD)分... 详细信息

为研究煤对CO_(2),CH_(4)和N_(2)混合气体的竞争吸附特性及微观机理,以内蒙古铁北煤矿褐煤为研究对象,基于元素分析、固体^(13)C核磁共振光谱(^(13)C NMR)分析、傅立叶红外光谱(FTIR)分析、X射线光电子能谱(XPS)分析和X射线衍射(XRD)分析等实验分析结果构建了铁北煤矿褐煤大分子结构模型,并进行了CO_(2),CH_(4)和N_(2)在铁北煤矿褐煤分子结构模型中吸附行为的分子模拟以及不同体积比CO_(2)/CH_(4)和CH_(4)/N_(2)二元组分混合气体竞争吸附行为的分子模拟。结果表明:铁北煤矿褐煤的芳碳率为51.98%,芳香结构主要以苯和萘为主,氧元素存在于酚、醚、羰基和羧基中,含氮结构主要以吡咯和吡啶的形式存在,硫元素主要存在于噻吩硫中,芳烃取代方式主要为三取代形式,芳香桥碳与周碳的数量比X_(BP)为0.14。铁北煤矿褐煤大分子结构模型的分子式为C_(190)H_(200)O_(57)N_(2)。单组分气体CO_(2)/CH_(4)/N_(2)的吸附量和等量吸附热均随温度的升高而减小,温度升高对CO_(2)吸附量和等量吸附热的影响最大,对CH_(4)吸附量和等量吸附热的影响次之,对N_(2)吸附量和等量吸附热的影响最小。在CO_(2)/CH_(4)和CH_(4)/N_(2)混合气体中,单组分气体的分压越大,该气体吸附量越大。CH_(4)与CO_(2)的等量吸附热差值大于CH_(4)与N_(2)的等量吸附热差值。

关键词：煤分子模型竞争吸附吸附热分子模拟吸附量

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膨润土粉体对管网甲烷爆炸的抑制特性及抑爆机理

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安全与环境学报 2024年第8期24卷 2940-2948页

作者：贾进章肖聆伊王枫潇辽宁工程技术大学安全科学与工程学院辽宁阜新123000 辽宁工程技术大学矿山热动力灾害与防治教育部重点实验室辽宁葫芦岛125100

为了探寻高效的抑爆剂,有效降低甲烷爆炸事故发生率,最大限度地降低事故损失,利用自主搭建的爆炸管网测试系统进行了膨润土粉体抑爆试验。将爆炸超压峰值、爆炸威力指数和爆炸火焰首次到达管网两出口的时刻作为表征抑制剂抑爆性能的参数... 详细信息

为了探寻高效的抑爆剂,有效降低甲烷爆炸事故发生率,最大限度地降低事故损失,利用自主搭建的爆炸管网测试系统进行了膨润土粉体抑爆试验。将爆炸超压峰值、爆炸威力指数和爆炸火焰首次到达管网两出口的时刻作为表征抑制剂抑爆性能的参数,探究了不同粒径膨润土粉体对管网甲烷爆炸的抑制性能,利用热解特性分析和分子动力学仿真探究了膨润土粉体的物理和化学抑爆机理。结果表明,粒径为>27~33μm的膨润土粉体对于管网甲烷爆炸的抑制性能最佳。膨润土粉体的物理抑爆机理为通过热解吸收反应热来实现抑爆目的;其化学抑爆机理为膨润土分子能够有效消耗反应体系中的自由电子和活性自由基,减缓甲烷链式反应速率。研究结论可为提高甲烷运输的安全性、有效降低灾害风险提供理论参考。

关键词：安全工程甲烷抑爆爆炸管网膨润土粉体抑爆性能抑爆机理

NH_(4)H_(2)PO_(4)-KHCO_(3)混合粉体对管网甲烷爆炸的抑制特性

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爆破器材 2024年第1期53卷 43-50页

作者：贾进章张先如王枫潇辽宁工程技术大学安全科学与工程学院辽宁阜新123000 辽宁工程技术大学矿山热动力灾害与防治教育部重点实验室辽宁阜新123000

在自行搭建的管网实验系统中,将常用于抑制甲烷爆炸的碳酸氢钾KHCO_(3)与磷酸二氢铵NH_(4)H_(2)PO_(4)进行不同比例的混合。选取5种不同的粉体配比,对比单一粉体以及各抑爆工况下各测点的爆炸峰值压力、火焰峰值速度和火焰峰值温度等爆... 详细信息

在自行搭建的管网实验系统中,将常用于抑制甲烷爆炸的碳酸氢钾KHCO_(3)与磷酸二氢铵NH_(4)H_(2)PO_(4)进行不同比例的混合。选取5种不同的粉体配比,对比单一粉体以及各抑爆工况下各测点的爆炸峰值压力、火焰峰值速度和火焰峰值温度等爆炸特征参数,获得抑制管网甲烷爆炸的最佳工况,并阐述了抑爆机理。结果表明:混合粉体对管网甲烷爆炸的抑制性能优于单一粉体;KHCO_(3)与NH_(4)H_(2)PO_(4)都易受热分解;其中,KHCO_(3)可以在相对较低的温度下迅速完成热解过程,从而吸收更多的反应热,抑爆性能优于NH_(4)H_(2)PO_(4)粉体;混合粉体中,抑爆效果随着KHCO3含量的增加显著提高。在5种混合比例中,当KHCO_(3)与NH_(4)H_(2)PO_(4)质量比为2.0:1.0时,抑爆效果最佳。KHCO_(3)与NH_(4)H_(2)PO_(4)表现出良好的爆炸抑制效果,研究所得结论可为抑制甲烷爆炸研究提供参考。

关键词：甲烷爆炸混合粉体抑爆性能混合比例实验管网

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基于蒙特卡罗的硫化氢吸附-扩散机理

煤炭学报 2024年第2期49卷 845-864页

作者：贾进章邢迎欢李斌贾鹏吴禹默杨强王东明辽宁工程技术大学安全科学与工程学院辽宁阜新123000 矿山热动力灾害与防治教育部重点实验室(辽宁工程技术大学) 辽宁葫芦岛125105 沈阳理工大学环境与化学工程学院辽宁沈阳110180

为了明确硫化氢(H_(2)S)在煤中吸附扩散的微观动力学机理,揭示不同温度、压力对煤吸附H_(2)S分子吸附扩散特性的影响机制,基于巨正则蒙特卡罗(GCMC)、分子动力学(MD)和密度泛函理论(DFT)方法,利用Material Studio软件研究了温度在273.15... 详细信息

为了明确硫化氢(H_(2)S)在煤中吸附扩散的微观动力学机理,揭示不同温度、压力对煤吸附H_(2)S分子吸附扩散特性的影响机制,基于巨正则蒙特卡罗(GCMC)、分子动力学(MD)和密度泛函理论(DFT)方法,利用Material Studio软件研究了温度在273.15~313.15 K、压力1~1 000 kPa时H_(2)S在气肥煤大分子模型中的吸附扩散特征。结果表明:温度由273.15 K升至313.15 K时,H_(2)S的饱和吸附量由38.34 mL/g降至31.85 mL/g,降低了16.93%,当压力为1 kPa时,温度对吸附量的影响最为敏感。温度为293.15 K时,压力由1 kPa升至1 000 kPa时,最可几相互作用能由-39.391 kJ/mol升至-34.301 kJ/mol,随着压力的增加,最可几相互作用能先快速增加,后缓慢增加。在吸附H_(2)S过程中,H_(2)S的等量吸附热在36.63~41.43 kJ/mol内,为物理吸附,等量吸附热随着吸附量的增加呈现出负指数变化;H_(2)S的吉布斯自由能ΔG为-3.57~-24.57 kJ/mol,吸附熵ΔS为-0.126~-0.194 8 kJ/(mol·K),随吸附量升高ΔG和ΔS的绝对值线性降低,H_(2)S的吸附自发性和系统的混沌程度均降低。H_(2)S与气肥煤的相互作用能为-492.47~-3 390.95 kJ/mol,以范德华能为主,占总能量的58.67%,以静电能为辅,占41.33%,随着吸附量的增加,相互作用能绝对值增加,吸附量与相互作用能的变化具有一致性。H_(2)S与羧基的相互作用最强,羟基次之,H_(2)S在—OH、—COOH、—C=O周围存在双层吸附。温度由273.15 K升至313.15 K,H_(2)S分子的扩散系数由1.066×10^(-10)m^(2)/s升至2.025×10^(-10)m^(2)/s,温度升高会导致原本闭合的孔吼孔道打开,增加裂隙的连通性,温度升高,增加H_(2)S分子平均自由程,使得H_(2)S扩散能力增强,H_(2)S扩散活化能为11.206 kJ/mol。H_(2)S相对体积分数分布呈现多峰结构,H_(2)S在气肥煤大分子模型中呈层状结构分布。H_(2)S的极限吸附热为42.898 kJ/mol,H_(2)S与煤体上—OH、—COOH、—C=O活性基团产生氢键作用,H_(2)S在吸附初期存在微弱的化学吸附。

关键词：硫化氢吸附-扩散巨正则蒙特卡罗分子模拟吸附机理

The Aqueous Dispersions of Bicontinuous Cubic Phases Formed by Precursor Method

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Chinese Chemical Letters 2005年第6期16卷 823-826页

作者： jinzhang DongHuaLI LiQiangZHENG KeyLaboratoryofColloidandInterfaceChemistry（ShandongUniversity） MinistryofEducationJinan250100

The morphologies and the microstructures of the dispersed particles of the cubic phase, which were formed by precursor method, were studied. The freeze-fracture TEM clearly showed that the aqueous dispersed particles have irregular cubic shapes. X-ray diffraction technique has been utilized to study the microstructure of the particles and it was found that these particles still retained the cubic character. The sizes of the particles were measured by dynamic light scattering, and the results showed that the sizes of the dispersed particles were between 200 ~ 400 nm under different conditions.

关键词： FF-TEM X-ray diffraction dynamic light scattering aqueous dispersions precursor.