摘要
以防城港20万t航道疏浚工程为例,从重型绞吸船"天鲸号"开挖岩石难易程度的角度,分析了影响疏浚生产率的关键因素;并对疏浚区域的泥质粉砂岩单轴饱和抗压强度、岩石质量等反映岩体特性的指标进行统计分析,利用经验公式估算岩体的完整性指数。针对疏浚岩石工程特性,创新性地引进了反映岩体整体特性指标——疏浚岩体基本质量指标修正值[BQ]TH,基于最小二乘法建立了[BQ]TH疏浚生产率的经验公式,并利用拟合的经验公式和BP(Back-Propagation Network)神经网络对疏浚生产率进行了预测,得到了良好的效果。
Taking the 200 000 DWT waterway dredging project of Fangcheng port for example, we analyze key factors influencing the dredging productivity in view of difficult degrees of rock excavation on severe cutter suction dredger＇Tianjing＇, carry out a statistical analysis on the rock property indices including saturated uniaxial compressive strength, RQD, etc., and estimate the rock mass integrity index by the empirical formula. According to the rock properties of dredging engineering, we present the basic quality index of modified value reflecting the overall characteristics of dredged rock mass [BQ]TH. Based on the least square method, we establish the empirical formula on [BQ]TH and dredging productivity, forecast the dredging productivity, and obtain a good result using the empirical formula and back-propagation network.
出处
《水运工程》
北大核心
2014年第3期57-61,共5页
Port & Waterway Engineering
关键词
疏浚工程
岩石特性
生产率
统计分析
预测
dredging engineering
rock property
productivity
statistical analysis
prediction
