Blasting Vibration Monitoring of Undercrossing Railway Tunnel Using Wireless Sensor Network

Lai, Jinxing; Fan, Haobo; Chen, Jianxun; Qiu, Junling; Wang, Ke

doi:10.1155/2015/703980

Cited by 57 publications

(33 citation statements)

References 12 publications

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“…Meanwhile, the water intake point of west-route of the South-to-North Water Transfer Project is only dozens of kilometers away from Xinzhuangling tunnel, which will be unified with current irrigation system. On this occasion, the large increase of water will cause huge hidden danger for the safety of existential tunnels [37][38][39][40][41]. Therefore, performing the large-scale field soaking experiment near Xinzhuangling tunnel has great engineering significance.…”

Section: Description Of Test Fieldmentioning

confidence: 99%

Field Experiment on Soaking Characteristics of Collapsible Loess

Wang

Xie

Qiu

et al. 2017

Advances in Materials Science and Engineering

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In collapsible loess area, migration of soil moisture often causes the temporal discontinuity and spatial nonuniformity of collapsibility, which leads to great damage for infrastructures. Therefore, the research on water infiltration is the key to solving the problem of collapsibility. The aim of this paper is to investigate the spatiotemporal evolution of infiltration characteristics of collapsible loess. A field soaking experiment was conducted on collapsible loess in western China, in which a soaking pool with diameter of 15 m was built. Time-Domain-Reflectometry (TDR) system and soil sampling were employed to measure the water content within the depth of 12 m. Then the saturation isograms were drawn for visualization of the process of infiltration. Also, a pilot tunnel was excavated to investigate how the free face can affect the infiltration behaviors. The experimental results revealed the characteristics of infiltration in both horizontal and vertical directions. Moreover, the response of free face on infiltration behaviors was also found. These findings of research could provide the data for the infiltration laws of unsaturated loess and thereby provide the basis for integrated treatment of collapsible loess.

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Section: Description Of Test Fieldmentioning

confidence: 99%

Field Experiment on Soaking Characteristics of Collapsible Loess

Wang

Xie

Qiu

et al. 2017

Advances in Materials Science and Engineering

Self Cite

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“…Therefore, the 10-fold cross-validation will be conducted 10 times to validate the model. In summary, the process of travel mode selection model based on the Bayesian network combining mutual information and expert knowledge is presented in Figure 2 [42][43][44][45][46].…”

Section: Bayesian Network Model Validationmentioning

confidence: 99%

A Bayesian Network Model on the Public Bicycle Choice Behavior of Residents: A Case Study of Xi’an

Wang

Sun

Zhang

2017

Mathematical Problems in Engineering

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In order to study the main factors affecting the behaviors that city residents make regarding public bicycle choice and to further study the public bicycle user's personal characteristics and travel characteristics, a travel mode choice model based on a Bayesian network was established. Taking residents of Xi'an as the research object, a K2 algorithm combined with mutual information and expert knowledge was proposed for Bayesian network structure learning. The Bayesian estimation method was used to estimate the parameters of the network, and a Bayesian network model was established to reflect the interactions among the public bicycle choice behaviors along with other major factors. The K-fold cross-validation method was used to validate the model performance, and the hit rate of each travel mode was more than 80%, indicating the precision of the proposed model. Experimental results also present the higher classification accuracy of the proposed model. Therefore, it may be concluded that the resident travel mode choice may be accurately predicted according to the Bayesian network model proposed in our study. Additionally, this model may be employed to analyze and discuss changes in the resident public bicycle choice and to note that they may possibly be influenced by different travelers' characteristics and trip characteristics.

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“…Xuan et al [25] evaluated the uncon ned compressive strength, static elastic modulus, and indirect tensile strength of cement-treated C&D waste aggregates and concluded that this material has positive mechanical properties when used as a road base layer. Parallel to this, other authors have focused on assessing the feasibility of using C&D waste aggregates as subbase and base layers for asphalt concrete [26][27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Investigation into the Application of Construction and Demolition Waste in Urban Roads

Li¹,

Zhou²,

Su³

et al. 2017

Advances in Materials Science and Engineering

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e recycling and reuse of waste materials is a topic of global concern and great international interest for those interested in sustainable development and protecting the environment. In recent decades, global production of construction and demolition waste (C&D waste) has signi cantly increased and became a worldwide problem. is research proposes to evaluate the feasibility of using aggregate from recycled C&D waste for urban road embankment applications based on the Sanhuan road construction project in eastern Xi'an. An extensive suite of laboratory and eld compaction tests were carried out to determine the physical properties and engineering characteristics of the C&D waste. e e ect of curing on the strength of the C&D waste was investigated using uncon ned compression strength (UCS), California bearing ratio (CBR), and de ection tests. e results show that the C&D waste has the characteristics of high strength and signi cant stability after simple treatment and further suggest that the use of these materials for paving urban road embankments is feasible. is study is of value for the reasonable and e ective promotion of using C&D waste recycled materials in road subgrade applications.

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Blasting Vibration Monitoring of Undercrossing Railway Tunnel Using Wireless Sensor Network

Cited by 57 publications

References 12 publications

Field Experiment on Soaking Characteristics of Collapsible Loess

Field Experiment on Soaking Characteristics of Collapsible Loess

A Bayesian Network Model on the Public Bicycle Choice Behavior of Residents: A Case Study of Xi’an

Investigation into the Application of Construction and Demolition Waste in Urban Roads

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