A Practical Method for Rapid Assessment of Reliability in Deep Excavation Projects

Arabaninezhad, Arefeh; Fakher, Ali

doi:10.1007/s40996-020-00499-2

Cited by 6 publications

(7 citation statements)

References 31 publications

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“…In the ESS method, each soil variable is assigned by one range; without defining a specific probability share. The steps to perform ESS method are as follows [18]:…”

Section: The Expert Selected Set Methodsmentioning

confidence: 99%

“…In order to consider the uncertainty in geotechnical practical projects by professional engineers, it is necessary to propose simple, accurate and time efficient methods. Recently, one simple and rapid method was developed by Arabaninezhad and Fakher, called expert selected set (ESS) method which was evaluated and verified for five case studies in Tehran [18].…”

Section: Introductionmentioning

confidence: 99%

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A Case Study on the Use of Expert Selected Set Method in the Reliability Analysis of an Urban Deep Excavation Project

Fakher¹,

Arabaninezhad²,

Nikghalbpour³

2023

Proceedings of the TMIC 2022 Slope Stability Conference (TMIC 2022)

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The necessity of constructing structures beneath ground level, increases the need of performing deep excavations in urban areas. It is essential to have a reliable estimation about the performance of deep excavation systems. This approach is not accessible via common deterministic analysis methods, since the uncertainty of soil parameters are not considered in these methods. Thus, various probabilistic and non-probabilistic reliability analysis methods are proposed to overcome this shortcoming. Due to the complicated mathematical procedure and lack of thorough database available for soil properties in real projects, which are both required to perform most of the reliability analysis methods, these methods are not welcomed by the engineers in practical projects. Since, it is common to apply deterministic analysis methods, the disadvantage of ignoring the effects of uncertainty on system response still exists in operation. According to the results of researches done in the field of reliability analysis, there are simple proposed methods which can be utilized in practical projects; however, they are not known to the engineers. In the present study a recently developed and simple reliability analysis method called Expert selected set method is applied for the analysis of an urban deep excavation project in Iran. For verification purposes, the results are compared with field measurement values and the reliability analysis results which were obtained using a well-known method called Point estimate method. The comparisons approve the feasibility of investigated method to predict the system performance and providing a reliable estimate of the system response, during the design stage.

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“…In the ESS method, each soil variable is assigned by one range; without defining a specific probability share. The steps to perform ESS method are as follows [18]:…”

Section: The Expert Selected Set Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Case Study on the Use of Expert Selected Set Method in the Reliability Analysis of an Urban Deep Excavation Project

Fakher¹,

Arabaninezhad²,

Nikghalbpour³

2023

Proceedings of the TMIC 2022 Slope Stability Conference (TMIC 2022)

Self Cite

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“…The empirical rule is a statistical technique that provides information on the magnitude of the deviation between the values of observations in a dataset. The empirical rule states that “for a normal distribution, 68% of data will fall within the first standard deviation, 95% within the first two standard deviations, and 99.7% within the first three standard deviations of the distribution average” [ 15 ].…”

Section: Methodsmentioning

confidence: 99%

First Arrival Picking of Zero-Phase Seismic Data by Hilbert Envelope Empirical Half Window (HEEH) Method

Bargees

Al-Shuhail

2022

Sensors

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First arrival travel time picking is an important step in many seismic data-processing applications. Most first arrival picking methods search for a sudden jump in seismic energy at trace onsets, which is clearly appropriate for minimum-phase data. This paper proposes a method for the first arrival picking of non-minimum phase data based on complex trace analysis. The Hilbert integral transform generates a complex seismic trace, followed by extraction of the envelope. The first arrival identification introduces an outlier detection method that uses the widely used three-sigma rule of thumb, which is commonly used in most software algorithms to identify outliers. The proposed method ultimately generates logical windows of ones (at the locations of outliers) and zeros (elsewhere). The first arrival is selected in the middle of the first outlier window. Testing the proposed method on zero-phase synthetic data with added 10% and 20% random noise, the method detected the true first arrivals accurately. Furthermore, tests on real Vibroseis data showed that the method recognizes the first arrivals with 67% accuracy within 20 milliseconds of their corresponding arrival times manually picked by an experienced geophysicist.

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“…Aiming at the problem that the excavation lags behind the mining, the main factors restricting the speed of roadway driving were summarized and the future development direction was proposed [4][5][6]. Some scholars have put forward prospects and suggestions for the improvement of driving speed from the aspects of tunneling technology and equipment [7][8][9]. Some scholars have established an intelligent decision system for mining replacement with the help of computers [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…References [4][5][6] only put forward the problem of comprehensive roadway excavation in our country, indicate the future development direction of tunneling, or just point out the overall process cycle optimization. References [7][8][9] explain the current situation of rapid tunneling technology, discuss key technical issues, or quickly optimize tunneling technology through theoretical calculation. References [10][11][12] abandon the traditional manual planning and gradually use the cross-platform and versatile software in the computer to prepare the mining succession planning system.…”

Section: Introductionmentioning

confidence: 99%

Research on Optimization of Mining Substitution in Wangzhuang Mine Based on System Dynamics

Zhong

Guo

et al. 2021

Advances in Civil Engineering

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The unbalanced mining replacement is a major problem restricting efficient mining. The optimization of mining replacement process can achieve perfect coordination of mining face and tunneling in time and ensure the efficient production of mine to the greatest extent. Based on this, this paper takes Wangzhuang Mine as the research background, applies system dynamics to mining replacement research, builds the Wangzhuang Mine mining-driving system simulation model, and uses this model to dynamically simulate the working face 9102 and its replaced heading face 7106. The research has found that there is an imbalance in the replacement between the two working faces, and the replacement process can be optimized by advancing the driving period or increasing the driving team to work in parallel at the appropriate time point, so as to meet the normal demand of mining replacement and provide guidance for the mining plan arrangement of other similar working faces.

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A Practical Method for Rapid Assessment of Reliability in Deep Excavation Projects

Cited by 6 publications

References 31 publications

A Case Study on the Use of Expert Selected Set Method in the Reliability Analysis of an Urban Deep Excavation Project

A Case Study on the Use of Expert Selected Set Method in the Reliability Analysis of an Urban Deep Excavation Project

First Arrival Picking of Zero-Phase Seismic Data by Hilbert Envelope Empirical Half Window (HEEH) Method

Research on Optimization of Mining Substitution in Wangzhuang Mine Based on System Dynamics

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