The Application of Reliability Analysis in Engineering Practice – Reinforced Concrete Foundation

Skrzypczak, Izabela; Słowik, Marta; Buda‐Ożóg, Lidia

doi:10.1016/j.proeng.2017.06.197

Cited by 18 publications

(8 citation statements)

References 5 publications

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“…The ranges of the reliability indices of the support (for each rock domain) fall within 0.6 and 3.25. In comparison with existing research, these results are within the common range of the reliability index of geotechnical structures (Baravalle and Köhler 2016;Goh and Zhang 2012;Müller 2010;Skrzypczak et al 2017). The next question is to determine the level of reliability acceptable of each support.…”

Section: Discussionsupporting

confidence: 59%

Reliability Analysis of Rock Supports in Underground Mine Drifts: A Case Study

Adoko

Yakubov

Kaunda

2021

Preprint

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Support failures in mine drifts represent potential hazards threatening underground mine safety and productivity. The aim of this study is to determine the reliability index associated with the rock supporting elements used in Ridder-Sokolny mine, an underground mine located in East Kazakhstan. Numerical simulations of the drift support and the first order reliability method (FORM) were employed to carry out the analysis. Several support cases were considered including; shotcrete, bolting, concrete, and combined bolting and concrete as well as unsupported drift case. For each support case, the factors of safety (FS), the reliability index (β) and the probability of failure (PF) were determined in accordance with the corresponding rock mass quality and excavation geometry. The results indicated the average FSs varied little for the different support cases (except for shotcrete); while β and PF vary more significantly between 0.62–3.25 and 0.05–27 (×103 %) factor depending on the rock conditions and support installed. The probability of failure of the rock support increases with a decrease in the rock mass quality. Similar trends were observed with an increase of the width/height ratio of the excavations for the same rock domain. These results illustrated that a single FS value obtained from a deterministic method may not always provide a sufficient indication of safety. This is in agreement with the field observations (many of the supports failed). Hence, on the basis of the reliability index of the supports, the requirement in terms of coefficient of variability of the rock mass quality to meet the target performance level was proposed. It is concluded that the results of this study could help improving the drift support design in Ridder-Sokolny mine.

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Section: Discussionsupporting

confidence: 59%

Reliability Analysis of Rock Supports in Underground Mine Drifts: A Case Study

Adoko

Yakubov

Kaunda

2021

Preprint

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show abstract

“…3.25. In comparison with existing research, these results are within the common range of the reliability index of geotechnical structures(Baravalle and Köhler 2016;Goh and Zhang 2012;Müller 2010;Skrzypczak et al 2017). The next question is to determine the level of reliability acceptable of each support.…”

supporting

confidence: 59%

Reliability Analysis of Rock Supports in Underground Mine Drifts: A Case Study

2021

View full text Add to dashboard Cite

Support failures in mine drifts represent potential hazards threatening underground mine safety and productivity. The aim of this study is to determine the reliability index associated with the rock supporting elements used in Ridder-Sokolny mine, an underground mine located in East Kazakhstan. Numerical simulations of the drift support and the first order reliability method (FORM) were employed to carry out the analysis. Several support cases were considered including; shotcrete, bolting, concrete, and combined bolting and concrete as well as unsupported drift case. For each support case, the factors of safety (FS), the reliability index (β) and the probability of failure (PF) were determined in accordance with the corresponding rock mass quality and excavation geometry. The results indicated the average FSs varied little for the different support cases (except for shotcrete); while β and PF vary more significantly between 0.62-3.25 and 0.05-27 (×10 3 %) factor depending on the rock conditions and support installed. The probability of failure of the rock support increases with a decrease in the rock mass quality. Similar trends were observed with an increase of the width/height ratio of the excavations for the same rock domain. These results illustrated that a single FS value obtained from a deterministic method may not always provide a sufficient indication of safety. This is in agreement with the field observations (many of the supports failed). Hence, on the basis of the reliability index of the supports, the requirement in terms of coefficient of variability of the rock mass quality to meet the target performance level was proposed. It is concluded that the results of this study could help improving the drift support design in Ridder-Sokolny mine.

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“…Through the combination of system identification method based on statistical moment and reliability assessment method based on the probability density evolution equation to respectively evaluate random component reliability and system reliability of a structure. Skrzypczak [2] adopted the methods of simulation FORM and SORM and Monte Carlo simulation to calculate the structural reliability index and the probability of failure so as to ensure the rules and requirements of structural safety, practicability and durability. Lehky [3] solved the problem of reliability design by using artificial neural networks and two-cycle optimization methods, then used the method in steel structures and steel plates.…”

Section: The Connotation Definition and Literature Analysis About Conmentioning

confidence: 99%

Reliability Evaluation in Construction Quality Based on Complex Vague Soft Expert Set Method

Bai

Zhao

2018

CEJ

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The control of the construction quality is very important in the construction industry. In this paper, the fuzzy reliability and construction quality are linked together to establish a specific quantitative evaluation model, which not only can help to make up for the lack of the traditional reliability qualitative evaluation methods, but also can avoid the inaccuracy of fuzzy quantitative evaluation of construction quality to a certain extent. This paper firstly selects some influencing factors of construction quality, and then makes use of complex vague soft expert set theory to study the construction quality and reliability. By the operational relationship and quantitative evaluation index, the membership functions of each subset are obtained, and different evaluation intervals are divided, it is helpful to draw the quantitative evaluation results of quality within a reasonable range and improve the accuracy of the quality and reliability. The presented hybrid method and detailed steps can provide some references for the reliability evaluation of construction quality.

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The Application of Reliability Analysis in Engineering Practice – Reinforced Concrete Foundation

Cited by 18 publications

References 5 publications

Reliability Analysis of Rock Supports in Underground Mine Drifts: A Case Study

Reliability Analysis of Rock Supports in Underground Mine Drifts: A Case Study

Reliability Analysis of Rock Supports in Underground Mine Drifts: A Case Study

Reliability Evaluation in Construction Quality Based on Complex Vague Soft Expert Set Method

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