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Construction risks of Huaying mount tunnel and countermeasures

Haibo YAO, Feng GAO, Shigang YU, Wei DANG

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 3, Pages 279-285 doi: 10.1007/s11709-017-0414-x

Abstract: One is geology prediction, and the other is automatic wireless real-time monitoring system, which contains

Keywords： outburst geology?prediction automatic?monitoring?system

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Construction geology technology of Karst tunnels on Yichang-Wanzhou Railway

Shen Zhijun

Strategic Study of CAE 2009, Volume 11, Issue 12, Pages 47-52

Abstract:

Taking the construction geology technology practice of karst tunnelson Yichang-Wuanzhou Railway as an example, construction geology, which is a continuation of engineeringTaking advanced geology predication as its subject, aiming at avoiding large-scale construction geologicalharzards, construction geology refers to the comprehensive engineering geology work for ensuring constructionConstruction geology includes comprehensive advanced geology predication, hydrogeological observation

Keywords： Yichang-Wanzhou Railway comprehensive advanced geology predication hydrological monitoring

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Information construction of the subsea tunnel in a fault and crush zone

Yang Huijun,Wang Mengshu,Zhuo Yue,Luo Song

Strategic Study of CAE 2012, Volume 14, Issue 10, Pages 57-64

Abstract: inland, using the method of geologic survey, TSP, flank holes, and analyzing the data, predicting basis geologyCombining long term geology prediction with short term geology prediction, comprehensive pre geologyprediction is reported.

Keywords： a fault and crush zone of subsea tunnel comprehensive pre geology prediction full sectional grouting

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Application of Remote Sensing in China’s Engineering Geology

Zhuo Baoxi

Strategic Study of CAE 2008, Volume 10, Issue 3, Pages 87-92

Abstract: It describes the application characteristics of remote sensing in engineering geology and thought that

Keywords： remote sensing in engineering geology characteristics discussion on some issues

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Ambient Noise Tomography for Coral Islands Article

Shaohong Xia, Changrong Zhang, Jinghe Cao

Engineering 2023, Volume 25, Issue 6, Pages 182-193 doi: 10.1016/j.eng.2021.09.022

Abstract: determination of the underground structure of coral islands has become significant in coral island engineering geology

Keywords： Coral island Ambient noise tomography Engineering geology South China Sea

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Discussion on some basic problems about environmental geology

Liu Guangrun

Strategic Study of CAE 2001, Volume 3, Issue 4, Pages 27-30

Abstract:

This paper discusses mainly the definition of environmental geology and geological environment and

Keywords： environmental geology geological environment protection of geological environment prevention and control

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Earth Satellite's Remote Sensing Images Explained Structural System in the Taiwan Region

Hu Dongsheng,Zhang Huajing

Strategic Study of CAE 2004, Volume 6, Issue 4, Pages 77-81

Abstract:

This text studied the synthetic analysis for the regional geology investigating data and the image

Keywords： characterization of regional geology basic pattern of structures generations of structural evolve meaningof geology Taiwan of China

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Adverse Geology Identification Through Mineral Anomaly Analysis During Tunneling: Methodology and Case Article

Zhenhao Xu, Tengfei Yu, Peng Lin, Shucai Li

Engineering 2023, Volume 27, Issue 8, Pages 150-160 doi: 10.1016/j.eng.2022.09.013

Abstract: style="font-size:10.5pt">Accurate and effective identification of adverse geologyCurrent methods of identifying adverse geology depend on the experience of geologists and are prone toHere, we propose a method for adverse geology identification in tunnels based on mineral anomaly analysisThe proposed method provides a timely warning when a tunnel enters areas affected by adverse geologyThis method improves our ability to identify adverse geology, from qualitative to quantitative, and can

Keywords： Mineral anomaly Adverse geology Fault Alteration Anomaly threshold

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Spatial prediction of soil contamination based on machine learning: a review

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1

Abstract:

● A review of machine learning (ML) for spatial prediction of soil

Keywords： Soil contamination Machine learning Prediction Spatial distribution

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Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Frontiers of Medicine 2022, Volume 16, Issue 3, Pages 496-506 doi: 10.1007/s11684-021-0828-7

Abstract: The fracture risk of patients with diabetes is higher than those of patients without diabetes due to hyperglycemia, usage of diabetes drugs, changes in insulin levels, and excretion, and this risk begins as early as adolescence. Many factors including demographic data (such as age, height, weight, and gender), medical history (such as smoking, drinking, and menopause), and examination (such as bone mineral density, blood routine, and urine routine) may be related to bone metabolism in patients with diabetes. However, most of the existing methods are qualitative assessments and do not consider the interactions of the physiological factors of humans. In addition, the fracture risk of patients with diabetes and osteoporosis has not been further studied previously. In this paper, a hybrid model combining XGBoost with deep neural network is used to predict the fracture risk of patients with diabetes and osteoporosis, and investigate the effect of patients’ physiological factors on fracture risk. A total of 147 raw input features are considered in our model. The presented model is compared with several benchmarks based on various metrics to prove its effectiveness. Moreover, the top 18 influencing factors of fracture risks of patients with diabetes are determined.

Keywords： XGBoost deep neural network healthcare risk prediction

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Position-varying surface roughness prediction method considering compensated acceleration in milling

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4, Pages 855-867 doi: 10.1007/s11465-021-0649-z

Abstract: Aiming at surface roughness prediction in the machining process, this paper proposes a position-varyingsurface roughness prediction method based on compensated acceleration by using regression analysis.i>R-square proving the effectiveness of the filtering features, is selected as the input of the predictionMoreover, the prediction curve matches and agrees well with the actual surface state, which verifies

Keywords： surface roughness prediction compensated acceleration milling thin-walled workpiece

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Improved prediction of pile bending moment and deflection due to adjacent braced excavation

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0961-2

Abstract: Deep excavations in dense urban areas have caused damage to nearby existing structures in numerous past construction cases. Proper assessment is crucial in the initial design stages. This study develops equations to predict the existing pile bending moment and deflection produced by adjacent braced excavations. Influential parameters (i.e., the excavation geometry, diaphragm wall thickness, pile geometry, strength and small-strain stiffness of the soil, and soft clay thickness) were considered and employed in the developed equations. It is practically unfeasible to obtain measurement data; hence, artificial data for the bending moment and deflection of existing piles were produced from well-calibrated numerical analyses of hypothetical cases, using the three-dimensional finite element method. The developed equations were established through a multiple linear regression analysis of the artificial data, using the transformation technique. In addition, the three-dimensional nature of the excavation work was characterized by considering the excavation corner effect, using the plane strain ratio parameter. The estimation results of the developed equations can provide satisfactory pile bending moment and deflection data and are more accurate than those found in previous studies.

Keywords： pile responses excavation prediction deflection bending moments

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The Practice of Forward Prospecting of Adverse Geology Applied to Hard Rock TBM Tunnel Construction: Article

Shucai Li, Lichao Nie, Bin Liu

Engineering 2018, Volume 4, Issue 1, Pages 131-137 doi: 10.1016/j.eng.2017.12.010

Abstract: Therefore, the advance detection of adverse geology and water-bearing conditions in front of the tunnelprospecting technical system also has reference value for carrying out the forward prospecting of adverse geology

Keywords： Comprehensive forward prospecting Geological analysis 3D induced polarization 3D seismic method Adverse geology

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Reliability prediction and its validation for nuclear power units in service

Jinyuan SHI,Yong WANG

Frontiers in Energy 2016, Volume 10, Issue 4, Pages 479-488 doi: 10.1007/s11708-016-0425-7

Abstract: In this paper a novel method for reliability prediction and validation of nuclear power units in serviceThe accuracy of the reliability prediction can be evaluated according to the comparison between the predictedFurthermore, the reliability prediction method is validated using the nuclear power units in North American

Keywords： nuclear power units in service reliability reliability prediction equivalent availability factors

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Trend prediction technology of condition maintenance for large water injection units

Xiaoli XU, Sanpeng DENG

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2, Pages 171-175 doi: 10.1007/s11465-009-0091-0

Abstract: Trend prediction technology is the key technology to achieve condition-based maintenance of mechanicalTo ensure the normal operation of units and save maintenance costs, trend prediction technology is studiedThe main methods of the technology are given, the trend prediction method based on neural network isThe industrial site verification shows that the proposed trend prediction technology can reflect the

Keywords： water injection units condition-based maintenance trend prediction