摘要
地下厂房岩壁梁开挖难度大、质量要求高,该部位成型质量的好坏将直接影响今后厂房内吊车的运行安全,在开挖该部位时,技术人员常凭借个人经验、工程类比或者在相似地段进行爆破试验,来决定爆破开挖参数。这样不仅费工费时,有时爆破效果也不理想。选择有代表性的实际光面爆破设计参数为样本,确定炸药类型、岩体裂隙发育程度、孔径、孔深、线装药密度、最小抵抗线、间距为影响岩壁梁爆破开挖效果的主要因素,利用神经网络建立岩壁梁爆破参数优化模型,进行岩壁梁爆破参数优化设计。在相似地段进行爆破试验得出现场试验参数,结果表明优化设计值与现场试验值吻合较好。对爆破试验部分进行声波检测也表明其爆破质量最好,其爆破松动圈范围最小。
The optimization model for blasting parameters of anchoring rock beam is established and its blasting parameters are optimized by making use of a strong mapped function of the neural network technology with the typical samples of other practical smooth blasting parameters. Meanwhile, the experimental blasting parameters for anchoring rock beam are determined by the in-site blasting experiments of the protective layer and platform of rock mass in similar conditions, The results show that the in-site experimental blasting parameters are preferably identical to those of the optimum design, The acoustic wave examination for the blasting of the protective layer and platform of rock mass indicates that the blasting effect is satisfied and its smaller loose ring of surrounding rock mass is obtained,
出处
《爆破》
CSCD
2006年第1期42-45,51,共5页
Blasting
关键词
地下厂房
岩壁梁
爆破参数
现场试验
underground workshop
crane beam at rockwaU
blasting parameters
in-site blasting experiments
