CAJ | 학술논문

地下硐室开挖过程中，硐周位移及其变化规律比较容易获得并起着十分重要的作用，不仅可以作为检验施工设计的依据，而且可以预测预报围岩的稳定性和调整开挖方式、支护设计等，从而指导施工.根据现场监测的数据，利用建立的遗传神经网络模型，分析了原始数据，对观测数据进行学习，预测下步施工位移变形量，从而为施工方法及时调整和支护方案优选提供参考.工程实例分析表明，该方法预测精度高、实用性广、简单易行.
지하동실개알과정중，동주위이급기변화규률비교용역획득병기착십분중요적작용，불부가이작위검험시공설계적의거，이차가이예측예보위암적은정성화조정개알방식、지호설계등，종이지도시공.근거현장감측적수거，이용건립적유전신경망락모형，분석료원시수거，대관측수거진행학습，예측하보시공위이변형량，종이위시공방법급시조정화지호방안우선제공삼고.공정실례분석표명，해방법예측정도고、실용성엄、간단역행.
The displacements and its movements is very important and easy to get in the site, analysising the problem in applying contraction ways to study the construction sequence for big cavern and instability. On the basis of the observed, a new genetic-neural network method for displacement in big cavern is proposed to forecast the moving displacements, a GA-NN for the displacement is introuduced, its example is given, and the results are satisfactory. This method is good in precast precision, used widely, convienient.