Reliability analysis of a large-scale landslide using SOED-based RSM

Huang, Xi‐Tai; Zhou, Xiaoping

doi:10.1007/s12665-017-7136-1

Cited by 10 publications

(3 citation statements)

References 23 publications

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“…Response surface method (RSM) (Li et al, 2011;Huang and Zhou, 2017;Zhou and Huang, 2018) Produces failure surface using the input variables using mathematical function and models by finite element to define FOS Point estimation to generate response and approximation functions in surface generation Monte Carlo simulation (MCS) (El-Ramly et al, 2002;Griffiths et al, 2009;Zhang et al, 2011) Repeated random samples generation using PDF of input variables. mathematical function to define FOS Need for large amount of random samples and longer time for computations Subset simulation (SS) (Au and Beck, 2003;Wang et al, 2011;Li et al, 2016) Makes use of conditional probability and Markov chain levels to compute FOS using PDF of input variables Need spreadsheet to estimate the new confining range for each input at each level such unpredictability, LEM is combined with statistical analysis thereby determining the failure probability (Pf) of slopes (Wang et al, 2011;Cao, 2012).…”

Section: Simulation Methodsmentioning

confidence: 99%

Parametric Design and Field Behavior of Earthen Structures

Paranthaman¹,

Azam²

2023

J ENVIRON INFORM LET

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The stability of earthen structures is governed by field uncertainties arising from material properties, environment loading, and slope geometry. This research devised a systematic approach to capture the effects of field uncertainties on the stability of natural and manmade slopes. New design charts were developed by incrementally changing slope geometry and randomly generating shear strength parameters. Subset simulation was used to determine the safe range of soil properties for various slopes. The charts were applied to three published case studies with distinct triggering mechanisms resulting from complex field settings. All of the investigated slopes were found to be stable (factor of safety (FOS) > 1.0) under the reported geometry and shear strength parameters while assuming no water table. The effects of soil properties’ variation and environmental conditions on fluctuating water table were captured through history matching. Results indicated three distinct failure mechanisms: foundation settlement of a glacial moraine till (Vernon, British Columbia) due to an increased pore water pressure during construction of the compacted fill (FOS = 1.45 without berms and 2.24 with berms); instability in the natural cut (FOS = 0.98) comprising layered glacio-lacustrine clays (Labret, Saskatchewan) due to saturation of the entire slope resulting from a long duration rainfall; and collapse of a compacted fill (FOS = 0.98) on a glacial moraine till (Hamelin Creek, Alberta) due to soil saturation arising from thawing of a frozen layer in the slope. This validation illustrates that the new approach fully captures environmental loading (resulting in water table variation in the slope) and partly captures construction practice and site geology via soil properties.

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Section: Simulation Methodsmentioning

confidence: 99%

Parametric Design and Field Behavior of Earthen Structures

Paranthaman¹,

Azam²

2023

J ENVIRON INFORM LET

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“…Actually, the angle can be derived by the following equation,

where β is the angle between normal of crushing surface and loading axis; ϕ is the friction angle of testing samples, as shown in Figure 5 b,d. According to the previous work [ 44 ], the higher compressive strength of samples is, the more sliding surfaces. Such phenomenon appears for the strength of ATWR is higher than that of NR.…”

Section: Rock Mechanical Propertiesmentioning

confidence: 99%

Sustainable Applications for Utilizing Antimony Tailing Coarse Aggregate (ATCA) in Concrete: Characteristic of ATCA and Toxicity Risks of Concrete

Wang

Zhang

et al. 2021

Materials

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In this research, the sustainable applications for utilizing antimony tailing coarse aggregate (ATCA) in concrete is investigated. Comprehensive verifications were performed by a series of experiments on the characteristic of ATCA and the toxicity risks of concrete. Firstly, a real case study of utilization of ATCA as a complete substitute for natural coarse aggregate (NCA) in high strength concrete was conducted. Then, chemical composition of ATCA was tested. It is demonstrated that the essential mineral is SiO2 and the lithology of ATCA is quartzite. The mechanical properties, coarse quality of ATCA, and NCA were studied and compared. The compressive strength, splitting tensile strength, and compressive elastic modulus of ATWR are 221.51 MPa, 5.93 MPa, and 3.33 × 104 MPa, which are 1.31, 2.22, 1.40 times of that of NR, respectively. All of the quality control indices of ATCA meet the requirements of the current industry standards of China. Finally, the toxicity risks of ATCA concrete were investigated. It is illustrated that the leaching of main heavy metals including Sb, As, Hg, Pb, Cd, and Zn in the ATCA concrete under different pH conditions are below the regulatory limits. The utilization of antimony tailing has significant environmental and economic benefits.

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“…Currently, the common slope reliability analysis methods are the Monte Carlo method [12][13][14][15][16][17], response surface method (RSM) [18][19][20], Latin hypercube sampling (LHS) multidimensional stratified sampling method [21][22][23][24], and first-order second-moment method (FOSM) [25][26][27][28]. In this regard, the Monte Carlo method is widely used in financial engineering, biomedicine, economics, computational physics, and geotechnical engineering.…”

Section: Introductionmentioning

confidence: 99%

Investigating Reliability of Duimenshan High Rock Slope in Gejiu, Yunnan Province Based on the Monte Carlo Method

Fayou

Pan

et al. 2022

Geofluids

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A slope is a complex engineering geological body that contains many uncertainties. In the present study, the high rock slope of Duimenshan in Gejiu, China is taken as the research object, and the Monte Carlo method is used to perform the analyses. Firstly, based on a large number of rock mass discontinuities, the Fuzzy C-Means (FCM) clustering algorithm is used to determine the dominant discontinuities. Secondly, the affecting parameters of the rock mass such as cohesion, internal friction angle, horizontal seismic acceleration coefficient, and water-filled depth coefficient are taken as random variables, and the failure probability of the slope and the failure index corresponding to different slope heights and slopes are obtained as the output parameter. The obtained results show that the target reliability index of the slope in a certain range of the slope height is far from the safety value, indicating that the slope is unstable, and the combination of slope height and slope angle affects the reliability of the slope. More specifically, as the slope height and angle increase, the number of samples with a stability coefficient of less than 1 increases, thereby increasing the failure probability of the slope indicating that the slope is stable. It is found that unless the slope height is small, it is the main factor of stability. However, when the slope height exceeds 33 m, the effect of the slope inclination on the stability increases gradually.

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Reliability analysis of a large-scale landslide using SOED-based RSM

Cited by 10 publications

References 23 publications

Parametric Design and Field Behavior of Earthen Structures

Parametric Design and Field Behavior of Earthen Structures

Sustainable Applications for Utilizing Antimony Tailing Coarse Aggregate (ATCA) in Concrete: Characteristic of ATCA and Toxicity Risks of Concrete

Investigating Reliability of Duimenshan High Rock Slope in Gejiu, Yunnan Province Based on the Monte Carlo Method

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