国防交通工程与技术
國防交通工程與技術
국방교통공정여기술
TRAFFIC ENGINEERING AND TECHNOLOGY FOR NATIONAL DEFENCE
2014年
6期
33-36
,共4页
盾构施工%地表沉降%小波神经网络
盾構施工%地錶沉降%小波神經網絡
순구시공%지표침강%소파신경망락
shield tunneling%settlement of the surface%wavelet neural network
地铁盾构施工引起的地表沉降对施工安全影响较大，应加以预防和控制。根据影响地表沉降的主要参数，建立了基于小波神经网络的盾构施工地表沉降预测模型，分析了预测结果的可行性，对比了它在收敛速度、预测精度等方面较传统BP神经网络的优势。结合北京地铁6号线实地测量数据，验证了小波神经网络用于沉降预测的准确性和可行性。
地鐵盾構施工引起的地錶沉降對施工安全影響較大，應加以預防和控製。根據影響地錶沉降的主要參數，建立瞭基于小波神經網絡的盾構施工地錶沉降預測模型，分析瞭預測結果的可行性，對比瞭它在收斂速度、預測精度等方麵較傳統BP神經網絡的優勢。結閤北京地鐵6號線實地測量數據，驗證瞭小波神經網絡用于沉降預測的準確性和可行性。
지철순구시공인기적지표침강대시공안전영향교대，응가이예방화공제。근거영향지표침강적주요삼수，건립료기우소파신경망락적순구시공지표침강예측모형，분석료예측결과적가행성，대비료타재수렴속도、예측정도등방면교전통BP신경망락적우세。결합북경지철6호선실지측량수거，험증료소파신경망락용우침강예측적준학성화가행성。
The surface settlement caused by tunneling has to be prevented and controlled because it has a great impact on the construction safety.A wavelet-neural-network-based tunneling settlement prediction model is established according to the main influential parameters affecting the surface settlement in the paper,with the feasibility of the predicted results analyzed,and the advantages of the method in both the convergence speed and precision compared with those of the traditional BP neural-network-based methods.With the measured data of Line 6 of the Beijing Subway as practical examples,both the accuracy and the feasibil-ity of the wavelet-neural-network-based settlement prediction are testified.
