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Shield launching technology in the project of Beijing railway underground diameter project

Lv Chuantian,Zhai Zhiguo,Su Qinggui

Strategic Study of CAE 2010, Volume 12, Issue 12, Pages 59-64

Abstract:

Based on the introduction of building launching shaft and the shield launching of Beijing Rail Transit which constructed with a slurry shield machine by Ø12.04 m, some key technologies of shield launching were summarized in the urban areas and the water-rich grit stone geological conditions.

Keywords： urban water-rich sandy gravel big diameter slurry shield launching

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The negative ring demolition and tunnel refitting technique of large diameter tube

Zhai Zhiguo,Huang xuejun,Yang Zhiyong

Strategic Study of CAE 2010, Volume 12, Issue 12, Pages 83-88

Abstract: bid section in detail, the experience of negative ring demolition and replacement techniques of large diameter

Keywords： big diameter shield negative ring demolition tunnel reconstruction

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Special issue: Innovative applications of big data and artificial intelligence

Frontiers of Engineering Management 2022, Volume 9, Issue 4, Pages 517-519 doi: 10.1007/s42524-022-0234-0

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Investigation of bubble diameter and flow regime between water and dilute aqueous ethanol solutions in

Baharak SAJJADI, Mostafa Keshavarz MORAVEJI, Reza DAVARNEJAD

Frontiers of Chemical Science and Engineering 2011, Volume 5, Issue 2, Pages 194-202 doi: 10.1007/s11705-010-1019-2

Abstract: In this study, the effect of ethanol addition into pure water and its concentration on bubble diameterAlcohol concentration enhancement caused bubble diameter to decrease.Furthermore, the bubbles diameter in pure water was nearly 4 times higher than that of ethanol with concentration

Keywords： airlift rector bubble diameter gas hold-up flow regime ethanol

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Clinical research of traditional Chinese medicine in big data era

Junhua Zhang,Boli Zhang

Frontiers of Medicine 2014, Volume 8, Issue 3, Pages 321-327 doi: 10.1007/s11684-014-0370-y

Abstract:

With the advent of big data era, our thinking, technology and methodology are being transformed.Data-intensive scientific discovery based on big data, named “The Fourth Paradigm,” has becomedata of diagnosis and treatment, and genomic data have been accumulated dramatically, which generates bigWith the support of big data, the defects and weakness may be overcome in the methodology of the conventionalTo conduct clinical studies involved in big data in TCM domain, top level design is needed and should

Keywords： big data traditional Chinese medicine clinical evaluation evidence based medicine

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Impacts of different diameter combinations on the temperature of a crude oil pipeline when colocating

Bo YU, Yue SHI, Xin LIU, Jinjun ZHANG, Jinjia WEI,

Frontiers in Energy 2010, Volume 4, Issue 2, Pages 192-197 doi: 10.1007/s11708-009-0074-1

Abstract: In order to show the effects of different diameter combinations on crude oil temperature when a crudeoil pipeline and a products pipeline are laid in one trench, four typical diameter combinations areIn real pipeline constructions, the effects of other diameter combinations on crude oil temperature canbe predicted by the method of linear interpolation to calculate results of the four diameter combinations

Keywords： technology of laying two pipelines in one trench diameter combinations crude oil temperature pipeline

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Effects of slip length and hydraulic diameter on hydraulic entrance length of microchannels with superhydrophobic

Wenchi GONG, Jun SHEN, Wei DAI, Zeng DENG, Xueqiang DONG, Maoqiong GONG

Frontiers in Energy 2020, Volume 14, Issue 1, Pages 127-138 doi: 10.1007/s11708-020-0661-8

Abstract: This paper investigated effects of slip length and hydraulic diameter on the hydraulic entrance lengthincreases with the increasing slip length at approximately Re<10, and does not vary with the hydraulic diameter

Keywords： laminar flow hydraulic entrance length super hydrophobic surface slip length hydraulic diameter

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A review of systematic evaluation and improvement in the big data environment

Feng YANG, Manman WANG

Frontiers of Engineering Management 2020, Volume 7, Issue 1, Pages 27-46 doi: 10.1007/s42524-020-0092-6

Abstract: The era of big data brings unprecedented opportunities and challenges to management research.Exploring the applicable evaluation methods in the big data environment has become an important subjectthis paper is to provide an overview and discussion of systematic evaluation and improvement in the bigWe first review the evaluation methods based on the main analytic techniques of big data such as dataFocused on the characteristics of big data (association feature, data loss, data noise, and visualization

Keywords： big data evaluation methods systematic improvement big data analytic techniques data mining

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A study on specialist or special disease clinics based on big data

Zhuyuan Fang,Xiaowei Fan,Gong Chen

Frontiers of Medicine 2014, Volume 8, Issue 3, Pages 376-381 doi: 10.1007/s11684-014-0356-9

Abstract:

Correlation analysis and processing of massive medical information can be implemented through bigThis paper explores the concept of constructing a big medical data platform and introduces the clinicalBig data analysis, such as Hadoop, can be used to construct early prediction and intervention models

Keywords： big data correlation analysis medical information integration data analysis clinical model

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IN2CLOUD: A novel concept for collaborative management of big railway data

Jing LIN, Uday KUMAR

Frontiers of Engineering Management 2017, Volume 4, Issue 4, Pages 428-436 doi: 10.15302/J-FEM-2017048

Abstract: In the EU Horizon 2020 Shift2Rail Multi-Annual Action Plan, the challenge of railway maintenance is generating knowledge from data and/or information. Therefore, we promote a novel concept called “IN2CLOUD,” which comprises three sub-concepts, to address this challenge: 1) A hybrid cloud, 2) an intelligent cloud with hybrid cloud learning, and 3) collaborative management using asset-related data acquired from the intelligent hybrid cloud. The concept is developed under the assumption that organizations want/need to learn from each other (including domain knowledge and experience) but do not want to share their raw data or information. IN2CLOUD will help the movement of railway industry systems from “local” to “global” optimization in a collaborative way. The development of cutting-edge intelligent hybrid cloud-based solutions, including information technology (IT) solutions and related methodologies, will enhance business security, economic sustainability, and decision support in the field of intelligent asset management of railway assets.

Keywords： railway intelligent asset management collaborative learning big data hybrid cloud Bayesian

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Challenges to Engineering Management in the Big Data Era

Yong Shi

Frontiers of Engineering Management 2015, Volume 2, Issue 3, Pages 293-303 doi: 10.15302/J-FEM-2015042

Abstract: This paper presents a review of the challenges to engineering management in the Big Data Era as wellas the Big Data applications.First, it outlines the definitions of big data, data science and intelligent knowledge and the historyof big data.Second, the paper reviews the academic activities about big data in China.

Keywords： big data data science intelligent knowledge engineering management real-life applications

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Appreciating the role of big data in the modernization of environmental governance

Frontiers of Engineering Management 2022, Volume 9, Issue 1, Pages 163-169 doi: 10.1007/s42524-021-0185-x

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Scientific computation of big data in real-world clinical research

Guozheng Li,Xuewen Zuo,Baoyan Liu

Frontiers of Medicine 2014, Volume 8, Issue 3, Pages 310-315 doi: 10.1007/s11684-014-0358-7

Abstract:

The advent of the big data era creates both opportunities and challenges for traditional Chinese medicine

Keywords： big data real world clinical research Chinese medicine medical computing

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Assembling and defect treatment of large-diameter shield segment

Cheng Xuewu,Xu Weiqing,Yang Zhiyong

Strategic Study of CAE 2010, Volume 12, Issue 12, Pages 89-93

Abstract:

In the paper, the segment assembling techniques of large-diameter shieldwere summarized, and the apparent damage reasons and repair technology of large-diameter shield reinforcedconcrete segment in the construction were preliminarily analyzed, based on research of the underground diameterabove hance and below hance, respectively, assuring the good strength and surface quality of large-diameter

Keywords： large-diameter shield segment assembling repair

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Slope stability analysis based on big data and convolutional neural network

Yangpan FU; Mansheng LIN; You ZHANG; Gongfa CHEN; Yongjian LIU

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7, Pages 882-895 doi: 10.1007/s11709-022-0859-4

Abstract: The Limit Equilibrium Method (LEM) is commonly used in traditional slope stability analyses, but it is time-consuming and complicated. Due to its complexity and nonlinearity involved in the evaluation process, it cannot provide a quick stability estimation when facing a large number of slopes. In this case, the convolutional neural network (CNN) provides a better alternative. A CNN model can process data quickly and complete a large amount of data analysis in a specific situation, while it needs a large number of training samples. It is difficult to get enough slope data samples in practical engineering. This study proposes a slope database generation method based on the LEM. Samples were amplified from 40 typical slopes, and a sample database consisting of 20000 slope samples was established. The sample database for slopes covered a wide range of slope geometries and soil layers’ physical and mechanical properties. The CNN trained with this sample database was then applied to the stability prediction of 15 real slopes to test the accuracy of the CNN model. The results show that the slope stability prediction method based on the CNN does not need complex calculation but only needs to provide the slope coordinate information and physical and mechanical parameters of the soil layers, and it can quickly obtain the safety factor and stability state of the slopes. Moreover, the prediction accuracy of the CNN trained by the sample database for slope stability analysis reaches more than 99%, and the comparisons with the BP neural network show that the CNN has significant superiority in slope stability evaluation. Therefore, the CNN can predict the safety factor of real slopes. In particular, the combination of typical actual slopes and generated slope data provides enough training and testing samples for the CNN, which improves the prediction speed and practicability of the CNN-based evaluation method in engineering practice.

Keywords： slope stability limit equilibrium method convolutional neural network database for slopes big data