CAJ | 학술논문

充分认识岩石的地质本质性是准确描述其物理力学特性的桥梁。岩石的地质本质性涵盖了岩石的物质性、结构性和赋存状态3个方面的内容。在综合考虑岩石上述3方面特征及其与单轴试验联系的基础上，以矿物组成、密度、纵波波速和含水状态为基本指标，采用回归和 BP 神经网络的方法对碳酸盐岩单轴抗压强度进行预测，并采用灰色关联分析法验证本研究所选用的预测基本指标的合理性。实例应用表明：本次采用的回归方法对该类岩石强度预测的最大误差为15．3％，BP 神经网络方法预测的最大误差为8．5％。预测误差出现的原因为碳酸盐岩物质组成复杂，所选预测基本指标是实际情况的简化，同时泥灰质岩石所具有的膨胀性也导致实测和预测结果具有一定的差异。
충분인식암석적지질본질성시준학묘술기물리역학특성적교량。암석적지질본질성함개료암석적물질성、결구성화부존상태3개방면적내용。재종합고필암석상술3방면특정급기여단축시험련계적기출상，이광물조성、밀도、종파파속화함수상태위기본지표，채용회귀화 BP 신경망락적방법대탄산염암단축항압강도진행예측，병채용회색관련분석법험증본연구소선용적예측기본지표적합이성。실례응용표명：본차채용적회귀방법대해류암석강도예측적최대오차위15．3％，BP 신경망락방법예측적최대오차위8．5％。예측오차출현적원인위탄산염암물질조성복잡，소선예측기본지표시실제정황적간화，동시니회질암석소구유적팽창성야도치실측화예측결과구유일정적차이。
Laboratory test is the most basic method to determine uniaxial compressive strength of rock,but its value often differs significantly due to the heterogeneity of samples.Taking the sampling difficulty as well as the time and cost factors into account,it will be favorable to determine the uniaxial compressive strength with appropriate prediction models.Complete comprehension of the geological nature of rock is the bridge that leads to an accurate description of its physical and mechanical properties.The geological nature of rock consists of the intrinsic properties of rock substance,structure and occurrence state.Based on comprehensive consideration of those intrinsic properties of rock and their connection with uniaxial test,methods of regression and BP neural network are adopted to predict the uniaxial compressive strength of carbonate with basic index parameters of mineral composition, density,longitudinal wave velocity and saturation state,then grey correlation analysis is conducted to verify the rationality of chosen index parameters.Practice indicates that the regression method has a maximum error of 15.3% in prediction,while the BP neural network method shows a maximum of 8.5% error;The cause of prediction error is that the carbonate has a complex composition,whereas those selected parameters of mineral composition used in prediction are merely a simplification of the actual condition,meanwhile the expansion in marlstone is another reason that leads to the differences between the measured and predicted value of uniaxial compressive strength of carbonate.