A combined application of two soft computing algorithms for weathering degree quantification of andesitic rocks

Koca, Tümay Kadakci; Köken, Ekin

doi:10.1016/j.acags.2022.100101

Cited by 3 publications

(2 citation statements)

References 49 publications

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“…Numerous mines worldwide operate at depths exceeding 1000 m below the surface, with examples in Canada and the United States reaching depths surpassing 2000 m [3]. Noteworthy among these is the West Wits mine in South Africa, distinguished as a pioneer in deep shaft mining, housing three gold mines-TauTona, Savuka, and Mponeng-all surpassing a depth of 3700 m. The mechanical behavior of rock masses is intricate, contingent upon factors such as mineral characteristics, degree of jointing, in-situ stress, and rock weathering [4][5][6][7][8][9]. Challenges associated with high temperature, in-situ stress, and permeability are notably pronounced in deep-rock engineering, with in-situ stress playing a pivotal role irrespective of geological conditions [10,11].…”

Section: Introductionmentioning

confidence: 99%

Numerical Study on the Fracturing of Deep Rock Masses by Blasting Based on the Material Point Method

Xiao,

Wang,

Gao

et al. 2024

Processes

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Blasting is a prevalent technique in deep rock excavation, with the state of rock fragmentation under high in-situ stress conditions being distinct from that under low in-situ stress conditions. A new material point method framework utilizing the generalized interpolated material point and convective particle domain interpolation functions was implemented to simulate the single-hole blasting process, analyze the stress distribution around the blasting hole, and elucidate the mechanism of how ground stress influences the expansion of blasting cracks through the interaction with the blasting load. In addition, the dynamic relaxation method realizes the stress’s initialization. It was concluded that the in-situ stress can increase the compressive stress induced by blasting load, whereas it decreases the caused tensile stress. With the increase in the ground stress, the scale of the cracks decreases. Under the non-isobaric condition, the blast-induced cracks preferentially expand along the high stress with the increase in the stress difference between the horizontal direction and the vertical direction, and the blast-induced cracks are suppressed to the greatest extent in the direction of the minimum ground stress.

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Section: Introductionmentioning

confidence: 99%

Numerical Study on the Fracturing of Deep Rock Masses by Blasting Based on the Material Point Method

Xiao,

Wang,

Gao

et al. 2024

Processes

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“…At present, mathematical models are often used in system model analysis and engineering scheme selection [24][25][26] . Weimin Ye build a variable weight fuzzy analytic hierarchy process, to the safety of the expansive soil side slope for evaluation 27 .…”

mentioning

confidence: 99%

Research on the ratio of similar materials in water-absorbent mudstone based on fuzzy mathematics

Zeng,

Zhou,

Xiaoding

2024

Sci Rep

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To determine the suitability and credibility of similar water-absorbent mudstone materials in model experiments, the prototype mudstone parameter similarity index was determined based on the similarity theory. Similar materials use cement and Plaster as binders and quartz sand as aggregate. The sensitivity of similar indicators of similar materials to control factors was analyzed through range statistics. Multiple regression analysis was used to establish the quantitative relationship between each control factor and similar indicators. Finally, the optimal matching scheme was refined through the combination of fuzzy mathematics and analytic hierarchy process. The results show that the physical and mechanical property indicators of similar materials with different proportions have a wide distribution range, and under certain similar conditions, they can meet the requirements of rock model tests with different properties. The aggregate-binder ratio is a direct indicator of material density, elastic modulus, and compressive strength. The main controlling factors, material density, elastic modulus, and compressive strength all increase with the decrease in aggregate-binder ratio. The cement-plaster ratio is the main control factor of material water absorption, and the water absorption gradually decreases with the increase of the cement-plaster ratio. The formula obtained through linear analysis can better represent the changing trend and distribution characteristics of various parameters of similar materials with the aggregate-binder ratio and cement-plaster ratio, and initially optimize the proportioning scheme of similar materials. Use fuzzy mathematics to evaluate the membership degree of each parameter index of similar materials, and the optimal ratio scheme was further determined to improve the credibility of later model experiments.

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Development of Rock Classification Systems: A Comprehensive Review with Emphasis on Artificial Intelligence Techniques

Niu,

He,

et al. 2024

Eng

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At the initial phases of tunnel design, information on rock properties is often limited. In such instances, the engineering classification of the rock is recommended as a primary assessment of its geotechnical condition. This paper reviews different rock mass classification methods in the tunnel industry. First, some important considerations for the classification of rock are discussed, such as rock quality designation (RQD), uniaxial compressive strength (UCS) and groundwater condition. Traditional rock classification methods are then assessed, including the rock structure rating (RSR), rock mass rating (RMR), rock mass index (RMI), geological strength index (GSI) and tunnelling quality index (Q system). As RMR and the Q system are two commonly used methods, the relationships between them are summarized and explored. Subsequently, we introduce the detailed application of artificial intelligence (AI) method on rock classification. The advantages and limitations of traditional methods and artificial intelligence (AI) methods are indicated, and their application scopes are clarified. Finally, we provide suggestions for the selection of rock classification methods and prospect the possible future research trends.

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A combined application of two soft computing algorithms for weathering degree quantification of andesitic rocks

Cited by 3 publications

References 49 publications

Numerical Study on the Fracturing of Deep Rock Masses by Blasting Based on the Material Point Method

Numerical Study on the Fracturing of Deep Rock Masses by Blasting Based on the Material Point Method

Research on the ratio of similar materials in water-absorbent mudstone based on fuzzy mathematics

Development of Rock Classification Systems: A Comprehensive Review with Emphasis on Artificial Intelligence Techniques

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