Modal Testing Technology Based on Geological Rock Mineral Analysis

Zhe Liu; Jiajing Li; Fengying Guo

doi:10.23977/erej.2022.060208

Modal Testing Technology Based on Geological Rock Mineral Analysis

Download as PDF

DOI: 10.23977/erej.2022.060208 | Downloads: 6 | Views: 320

Author(s)

Zhe Liu ¹, Jiajing Li ¹, Fengying Guo ¹

Affiliation(s)

¹ School of Petroleum Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, Guangdong, China

Corresponding Author

Zhe Liu

ABSTRACT

With the continuous development of China's national economy, mining industry and related industries have made unprecedented progress. Rock and mineral analysis and identification is the basis and premise of various geological work, and has a very important guiding role. The purpose of this study is to analyze the minerals in geological rocks by modal test techniques. In this study, geological rocks of Nishiyama bay were selected as experimental objects. Local cores, debris, rock mineral block samples, rock mineral powder or soil samples were collected, then crushed, sorted, mixed, divided, prepared, and then tested quantitatively and quantitatively to determine the effective chemical composition of the rocks and minerals. Data is sorted and analyzed through modal analysis and test techniques of this research. The results show that the epidote minerals are the highest in the three mineral areas (10.30% ~ 55.94%, with an average content of 29.73%). The relative content of quartz is distributed in each percentage range. The number of samples distributed in the range of 40% ~ 50%, feldspar in the range of 10% ~ 20% is the largest, with 2865 samples, and dolomite minerals with the largest number in the range of 0%~10%. It is concluded that the modal testing technology in this study is very detailed and accurate for the analysis of geological rocks and minerals. This study contributes to the development of geological work.

KEYWORDS

Geological Rock, Mineral Analysis, Modal Analysis, Testing Technology

CITE THIS PAPER

Zhe Liu, Jiajing Li and Fengying Guo, Modal Testing Technology Based on Geological Rock Mineral Analysis. Environment, Resource and Ecology Journal (2022) Vol. 6: 59-75. DOI: http://dx.doi.org/10.23977/erej.2022.060208.

REFERENCES

[1] Zeng G , He L , Zhang D , et al. Pb Isotopic Composition of Guanziyao Lead-Zinc Ore Deposits in West Guizhou and its Geological Implications. Geotectonica et Metallogenia, 2017, 41(2):305-314.
[2] Dill H G , Skoda R . Provenance analysis of heavy minerals in beach sands (Falkland Islands/Islas Malvinas) – A view to mineral deposits and the geodynamics of the South Atlantic Ocean. Journal of South American Earth ences, 2017, 78(10):17-37.
[3] De Barros E , Juliani F , De Camargo L R . Experimental facilities for modal testing. Aircraft Engineering & Aerospace Technology, 2017, 89(2):358-363.
[4] Ahmad F , Quasim M A , Ahmad A H M , et al. Factors influencing Detrital Mineralogy and Tectono-provenance of Fort Member Sandstone, Jaisalmer Formation, Western Rajasthan, India. Journal of the Geological Society of India, 2019, 93(4):392-398.
[5] V, A, Zaika, et al. Age and Sources of Metasedimentary Rocks of the Tokur Terrane of the Mongol–Okhotsk Fold Belt: Results of U–Pb and Lu–Hf Isotope Studies. Doklady Earth ences, 2019, 486(2):593–597.
[6] Liu X , Zhao F , Li C , et al. Actual Microcosmic Trace of Mantle Fluid in Deep Geological Process: Experimental Evidence with Petrography, SEM-EDS and EPMA. Journal of Nanoence & Nanotechnology, 2017, 17(9):6881-6889.
[7] Stosch Heinz-Günter. Neutron Activation Analysis of the Rare Earth Elements (REE) – With Emphasis on Geological Materials. Physical ences Reviews, 2016, 2016(8):162-64.
[8] Peter, Vrolijk, David, et al. Fault gouge dating: history and evolutionPeter Vrolijk et al.Fault gouge dating. Clay Minerals, 2018, 53(3):305–324.
[9] Ohikhena F U , Wintola O A , Afolayan A J . Proximate Composition and Mineral Analysis of Phragmanthera capitata (Sprengel) Balle, a Mistletoe Growing on Rubber Tree. Die & Mould Industry, 2016, 12(1):23-32.
[10] Gorman, Elena. Spurious Results in Mineral and Electrolyte Analysis. Vet Clin North Am Small Anim Pract, 2017, 47(2):263-272.
[11] Ouknin M , Romane A , Arjouni M Y , et al. Mineral Composition, multivariate analysis of some oligo-elements and heavy metals in some species of genus Thymus. Journal of Materials and Environmental Science, 2018, 9(3):980-985.
[12] Yuan Y Y , Zhou Y B , Sun J , et al. Determination and principal component analysis of mineral elements based on ICP-OES in Nitraria roborowskii fruits from different regions. Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica, 2017, 42(12):2334-2338.
[13] Zhao J , Zhoub J , Su W , et al. Online Outlier Detection for Time-varying Time Series on Improved ARHMM in Geological Mineral Grade Analysis Process. Earth ences Research Journal, 2017, 21(3):135-139.
[14] Solmi M , Veronese N , Correll C U , et al. Bone mineral density, osteoporosis, and fractures among people with eating disorders: a systematic review and meta-analysis.. Acta Psychiatr Scand, 2016, 133(5):341-351.
[15] Soltani S , Hunter G R , Kazemi A , et al. The effects of weight loss approaches on bone mineral density in adults: a systematic review and meta-analysis of randomized controlled trials. Osteoporosis International, 2016, 27(9):2655-2671.
[16] Takano C C , Flores J C D C , Lima H M D . An Analysis of the Rate for Controlling, Monitoring and Supervision of Exploration and Mining Activities of Mineral Resources (TFRM). Rem Rev.esc.minas, 2016, 69(1):105-110.
[17] Amid?I? Klari? D , Klari? I , Mornar A , et al. Blackberry wines mineral and heavy metal content determination after dry ashing: multivariate data analysis as a tool for fruit wine quality control. International Journal of Food ences and Nutrition, 2016, 67(5):514-523.
[18] Pacheco M H S , Esmerino E A , Capobiango C S C , et al. Bottled mineral water: classic and temporal descriptive sensory analysis associated with liking. British Food Journal, 2018, 120(7):1547-1560.
[19] Kagami M , Kawasaki A , Yonemura M , et al. Encircled Angular Flux Representation of the Modal Power Distribution and Its Behavior in a Step Index Multimode Fiber. Journal of Lightwave Technology, 2016, 34(3):943-951.
[20] Nakamura A , Okamoto K , Koshikiya Y , et al. Loss Cause Identification by Evaluating Backscattered Modal Loss Ratio Obtained With 1-μm-Band Mode-Detection OTDR. Journal of Lightwave Technology, 2016, 34(15):3568-3576.
[21] Uezu Y , Kaburagi T . A measurement study on voice instabilities during modal-falsetto register transition. Acoustical ence and Technology, 2016, 37(6):267-276.
[22] Mishra M , Odelius J , Rantatalo M , et al. Simulations and measurements of the dynamic response of a paper machine roller. Insight - Non-Destructive Testing and Condition Monitoring, 2016, 58(4):210-212.
[23] Rani M N A , Yunus M A , Athikary B , et al. Correlating Finite Element Model of a Car Spot-welded Front-End Module in the Light of Modal Testing Data. International Journal of Automotive and Mechanical Engineering, 2020, 17(2):7974-7984.
[24] Vahidi M , Vandani S , Rahimian M , et al. Evolutionary-base finite element model updating and damage detection using modal testing results. Structural Engineering & Mechanics, 2019, 70(3):339-350.
[25] Hilal Doğanay Katı, Hakan Gökdağ. Free vibration of a Timoshenko beam carrying three dimensional tip mass: Analytical solution and experimental modal testing. Materialprufung, 2017, 59(6):591-597.

Subscription

E-Mail Alert

Downloads:	1491
Visits:	87507

Modal Testing Technology Based on Geological Rock Mineral Analysis

Author(s)

Affiliation(s)

Corresponding Author

ABSTRACT

KEYWORDS

CITE THIS PAPER

REFERENCES

RESOURCES

JOIN US

PUBLICATION SERVICES

CONTACT US