合金钢中白点缺陷超声反射波辨析

通过对进口合金钢中白点缺陷超声反射波形的分析研究，为白点缺陷的判定提供借鉴，保证工程材料的使用安全。     

Nonlinear seismic response analysis of reinforced concrete tube in tube structure

Super-highly reinforced concrete tube in tube structure is a developing structure system of high-rise building. The more reasonable derivation process of the multi-vertical-line-element model stiffness matrix is given.On the premise of pointing out the problems of present multi-spring element model, combined with present multivertical-line-element model for analyzing on shear wall, the model is expanded to spatial one, and the stiffness matrix of which is derived. Combined with hysteretic axial model and hysteretic shear model, it is suitable for columns,wall limbs and beams with all kinds of section form. Some examples are calculated and compared with test results,which shows that the models have relatively good accuracy. On the base of the experimental phenomenon and failure mechanism for tube in tube structure specimen, nonlinear seismic responses analysis program on the basis of the advantaged element model for tube in tube structure is developed. Calculation results are in good agreement with those of the pseudo-dynamic tests and the failure mechanism can be well reflected.     

土层地基上建筑结构混合控制的减震效率

研究土 -结构相互作用对结构混合控制减震效能的影响。首先建立了土层地基上结构混合控制的运动方程 ,通过不同输入地震波、不同土层剪切波速、不同结构参数等条件下的数值分析 ,讨论了桩基础对结构混合控制减震效率的影响规律。数值结果表明 :对于土 -结构相互作用体系 ,采用混合控制的减震效率明显要强于单一的 TL D的减震效率 ;在土层较为坚硬的情况下 ,混合控制仍具有较高减震效能 ;随着土层变软 ,土 -结构相互作用减小结构地震反应的效应趋于明显 ,混合控制的减震效率明显降低 ,因此 ,对软土地基上的结构实施混合控制时 ,必须先要正确分析土 -结构体系的地震反应。     

二维小波变换理论在地震信号去噪中的应用

针对地震信号随机干扰和规则干扰的特点，运用二维小波变换的理论，设计了相应的变换域去噪滤波器。理论记录和实际野外记录试算表明，二维小波变换具有较强的信噪分离作用。只要运用得当就能取得满意的效果。     

A Neuro-fuzzy Coding for Processing Incomplete Data: Application to the Classification of Seismic Events

This letter presents a method for modelling and processing incomplete data in connectionist systems. The approach consists in applying a neuro-fuzzy coding to the input data of a neural network. After an introduction to the different kinds of imperfections, we propose a neuro-fuzzy coding in order to take incomplete data into account. We show the efficiency of this coding on the problem of the classification of seismic events. The results show that a neuro-fuzzy coding of the inputs of a neural network increases the performance and classifies incomplete data with little affect on the results.     

Use of FRP for RC Frames in Seismic Zones: Part II. Performance of Steel-Free GFRP-Reinforced Beam-Column Joints

The use of FRP as reinforcement in concrete structures has been growing rapidly due to its advantages over conventional steel reinforcement (e.g., corrosion resistance, light weight, magnetic neutrality). A potential application of FRP reinforcement is in structural concrete frames. However, current seismic design standards and detailing criteria for beam-column joints were established for steel reinforcement and may be unsuitable for FRP reinforcement due to its different mechanical properties. During recent earthquakes, many structural collapses were initiated or caused by beam-column joint failures. Since there are no detailed specifications for the application of FRP reinforcement in seismic zones, research is needed to gain a better understanding of the behaviour of FRP-reinforced concrete under seismic loading. In this study, two full-scale beam-column joint specimens reinforced with steel and GFRP, respectively, were tested in order to investigate their performance in the event of an earthquake. The control steel-reinforced specimen is detailed according to the Canadian Code (CSA A23.3-94) recommendations. The GFRP-reinforced specimen is detailed in a similar scheme but using a GFRP grid. The behaviour of the two specimens under reversed cyclic loading, their load-storey drift envelope relationship and energy dissipation ability were compared. The GFRP-reinforced specimen showed a predominantly elastic behaviour up to failure. While its energy dissipation was low, its performance was acceptable in terms of total storey drift demand.     

Waves Past Porous Structures in a Two-layer Fluid

Havelock’s type of expansion theorems, for an integrable function having a single discontinuity point in the domain where it is defined, are utilized to derive analytical solutions for the radiation or scattering of oblique water waves by a fully extended porous barrier in both the cases of finite and infinite depths of water in two-layer fluid with constant densities. Also, complete analytical solutions are obtained for the boundary-value problems dealing with the generation or scattering of axi-symmetric water waves by a system of permeable and impermeable co-axial cylinders. Various results concerning the generation and reflection of the axisymmetric surface or interfacial waves are derived in terms of Bessel functions. The resonance conditions within the trapped region are obtained in various cases. Further, expansions for multipole-line-source oblique-wave potentials are derived for both the cases of finite and infinite depth depending on the existence of the source point in a two-layered fluid.     

基于复小波变换全监督学习的微震波形降噪与相位拾取

由于井下微震信号有着更低的信噪比, 导致信号拾取精度降低. 现阶段基于小波阈值的信号降噪算法等在面对信噪比较低的信号时存在泛化性差, 阈值难以衡量等问题. 为解决这一问题, 本文研究了一种复小波变换全监督学习的微震波形降噪方法. 该方法首先利用复小波变换结合卷积自编器设计一个具有多个卷积和反卷积操作的编码-解码器完成图像的降噪过程. 为验证此方法的有效性, 首先在Stanford的Earthquake数据集上构建了Earthquake2023进行训练和测试, 并有着较好地拟合效果和训练结果. 同时基于该方法降噪后信号设计了一种震相拾取方法, 并达到了较高的拾取精度. 本文设计了多组对比实验, 结果表明此降噪方法能有效提高信号的峰值信噪比和均方根误差, 两者分别提高了16 dB和24%, P波、S波初至到时拾取的误差相较于STA/LTA减小了0.3 ms.     

一种伪随机码引信对TBM目标的电磁散射特性分析

分析了 TBM目标特点 ,针对一种伪随机码引信 ,计算了该目标的镜面反射点的位置和强度 ,建立了目标近区电磁散射的数学模型 ,给出了针对该引信的目标回波信号的表达式     

点云空间与反射强度融合的非结构化道路可行驶区域检测

可行驶区域检测旨在检测和提取智能车辆在道路上可行进的区域, 目前主流的检测方法主要基于三维激光雷达的空间特征实现, 难以处理路面边缘无清晰空间特征的非结构化道路. 为此, 本文提出了一种基于点云空间和反射强度融合的非结构化道路可行驶区域检测方法. 首先, 通过融合反射强度因子改进了基于空间特征的柱坐标系检测模型; 然后, 使用强度和降维空间检测对检测精度较低的环形检测模型进行优化, 并将其与柱坐标系检测模型联合使用以提高方法检测准确率; 最后, 在自录实际道路数据集上进行对比实验. 实验结果表明本文方法显著提高了非结构化道路可行驶区域检测的成功率与精确率, 在结构化道路上也具有良好效果.