本文選題：旋切觸探 + 彈性模量　； 參考：《西安理工大學(xué)》2017年碩士論文

【摘要】：巖體力學(xué)參數(shù)的重要性不言而喻,準確、快速的獲取巖體力學(xué)參數(shù)有助于巖體工程更快、更好設(shè)計施工。本文利用李寧教授課題組研制的XCY-1型巖體力學(xué)參數(shù)旋切觸探儀,通過現(xiàn)場旋切觸探實驗及理論分析,揭示巖體旋切鉆進過程中能量特性,基于旋切鉆進過程中能量守恒,提出了XCY-1型巖體力學(xué)參數(shù)旋切觸探儀的彈性模量計算方法和確定工程巖體分級的方法,并通過大量的現(xiàn)場試驗數(shù)據(jù)來驗證此方法的正確性。結(jié)合實際工程勘察資料和規(guī)范資料,確定了適用于XCY-1型旋切儀的彈性模量計算公式和圍巖分級的適用條件。本文的具體研究內(nèi)容及成果如下:首先,歸納總結(jié)了靜力觸探的發(fā)展史,然后在西安理工大學(xué)李寧、劉奉銀等室內(nèi)試驗和理論研究基礎(chǔ)上,參與設(shè)計研發(fā)了適應(yīng)于巖體的XCY-1型巖體力學(xué)參數(shù)旋切觸探儀。驗證了XCY-1型巖體力學(xué)參數(shù)旋切觸探儀在現(xiàn)場應(yīng)用的合理性和準確性。其次,基于功的原理和能量守恒的思想,推導(dǎo)出適用于XCY-1型巖體力學(xué)參數(shù)旋切觸探儀的彈性模量計算方法,并給出了適用條件。通過現(xiàn)場試驗驗證得出三級圍巖彈性模量為6-16GPa,與規(guī)范彈性模量6-16GPa相比較是合理的。基于旋切觸探技術(shù)和工程巖體分級規(guī)范,提出了利用鉆速和彈性模量相結(jié)合的方法來確定工程巖體分級。通過大量的現(xiàn)場旋切試驗,假定在旋切觸探的鉆壓、扭矩和轉(zhuǎn)數(shù)一定的情況下,預(yù)測鉆速0-0.2mm/s,彈性模量E大于33GPa,預(yù)測為工程巖體分級是一級;鉆速0.2mm/s-0.5mm/s,彈性模量16GPa-33GPa,則工程巖體分級是二級;鉆速0.5mm/s-1.0mm/s,彈性模量6GPa-16GPa,則工程巖體分級是三級;鉆速1.0mm/s以上,彈性模量小于6GPa,則工程巖體分級是四級及以上。最后,編寫了BP神經(jīng)網(wǎng)絡(luò)程序,實現(xiàn)了對實驗數(shù)據(jù)的管理,并實現(xiàn)了試驗范圍內(nèi)的數(shù)據(jù)預(yù)測。
[Abstract]:The importance of mechanical parameters of rock mass is self-evident. Accurate and rapid acquisition of mechanical parameters of rock mass is helpful for faster design and construction of rock mass engineering. In this paper, the XCY-1 type rotary penetration tester for rock mass mechanical parameters developed by Professor Li Ning is used to reveal the energy characteristics of rock mass rotary drilling process through field experiments and theoretical analysis, based on the conservation of energy during rotary drilling. The calculation method of elastic modulus of XCY-1 type rock mass mechanical parameter rotary penetration detector and the method of determining the classification of engineering rock mass are put forward, and the correctness of this method is verified by a large number of field test data. Based on the actual engineering survey data and the code data, the formula for calculating elastic modulus and the applicable conditions for the classification of surrounding rock are determined. The specific research contents and results are as follows: firstly, the history of static penetration is summarized, and then based on the laboratory experiments and theoretical studies, such as Li Ning and Liu Fengyin of Xi'an University of Science and Technology, Participate in the design and development of XCY-1 type rock mass mechanical parameters rotary penetration detector suitable for rock mass. The rationality and accuracy of the application of XCY-1 type rock mass mechanical parameter rotary penetration detector in the field are verified. Secondly, based on the principle of work and the idea of conservation of energy, the calculation method of elastic modulus suitable for XCY-1 type rock mass mechanical parameter rotary penetration detector is derived, and the applicable conditions are given. Field tests show that the elastic modulus of the third grade surrounding rock is 6-16 GPA, which is reasonable compared with the standard elastic modulus 6-16GPa. Based on the rotary penetration detection technique and the engineering rock mass classification code, a method combining drilling speed and elastic modulus is proposed to determine the engineering rock mass classification. Through a large number of field tests, it is assumed that the predicted drilling speed is 0-0.2mm / s, the elastic modulus E is greater than 33GPa, and the engineering rock mass classification is the first grade, assuming that the drilling speed is 0-0.2mm / s under the condition of constant drilling pressure, torque and rotation number of the rotary penetration probe. If the drilling speed is 0.2mm / s-0.5mm / s, the elastic modulus is 16GPa-33GPa, then the engineering rock mass classification is second-order; the drilling rate 0.5mm / s-1.0mm / s, the elastic modulus 6GPa-16GPa-grade is three grade; the drilling speed 1.0mm/s is higher than 6GPaand the elastic modulus is less than 6GPa. then the engineering rock mass classification is grade four and above. Finally, a BP neural network program is developed to manage the experimental data and predict the experimental data.
【學(xué)位授予單位】：西安理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TU45

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相關(guān)期刊論文 前10條

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本文編號：1798970