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RBF神经网络在坝肩断(夹)层位移监测中的应用 被引量:1
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作者 佟剑杰 钱飞 +1 位作者 张磊 崔永建 《水电能源科学》 北大核心 2010年第3期60-62,共3页
针对RBF神经网络可解决BP算法收敛速度慢、易陷于局部最小等问题,介绍了RBF下神经网络的训练与设计方法,构建了某坝坝肩断(夹)层位移数据分析的RBF神经网络,并对测试样本进行了预测。结果表明,采用该法的预测误差约为±0.2 mm,预测... 针对RBF神经网络可解决BP算法收敛速度慢、易陷于局部最小等问题,介绍了RBF下神经网络的训练与设计方法,构建了某坝坝肩断(夹)层位移数据分析的RBF神经网络,并对测试样本进行了预测。结果表明,采用该法的预测误差约为±0.2 mm,预测效果较好。 展开更多
关键词 () RBF网络 MATLAB newrb函数 位移监测
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The interfacial fracture behavior of foam core composite sandwich structures by a viscoelastic cohesive model 被引量:9
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作者 SUN ShiYong CHEN HaoRan 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS 2011年第8期1481-1487,共7页
A sandwich beam model consisting of two face sheets and a foam core bonded by a viscoelastic adhesive layer is considered in order to investigate interfacial fracture behavior. Firstly, a cohesive zone model in conjun... A sandwich beam model consisting of two face sheets and a foam core bonded by a viscoelastic adhesive layer is considered in order to investigate interfacial fracture behavior. Firstly, a cohesive zone model in conjunction with a Maxwell element in parallel, or with a Kelvin element in series, respectively, is employed to describe the characteristics of viscoelasticity for the adhesive layer. The models can be implemented into the implicit finite element code. Next, the parametric study shows that the in- fluences of loading rates on the cohesive zone energy and strength are quite different for different models. Finally, a sandwich double cantilever beam model is adopted to simulate the interface crack growth between the face sheet and core. Numerical examples are presented for various loading rates to demonstrate the efficacy of the rate-dependent cohesive models. 展开更多
关键词 VISCOELASTICITY interfacial crack rate-dependent cohesive model composite sandwich beam
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