单边扩帮特大跨公路隧道开挖稳定性分析

通过现场试验、理论分析及数值模拟计算,对深圳横龙山北隧道右线喇叭口扩帮段的围岩力学参数和动态施工力学进行研究,对扩挖修帮段进行深部位移监测得到反挖修帮造成的拱顶下沉和洞周水平收敛的实测数据,并基于神经网络BP模型反演隧道围岩力学参数.采用有限元软件对横龙山北隧道右线喇叭口扩帮段建立三维有限元模型,分析隧道各开挖阶段对地表沉降的影响以及研究隧道各开挖阶段对隧道拱顶、拱脚和竖墙脚各点应力的影响.     

Comparison of Three Control Methods in Penetration Control of Pulsed Gas Tungsten Arc Welding

An artificial neural network model for backside bead width was established and three control meth-ods——PID. fuzzy and neuron were designed, simulated and tested. The test results of bead-on-plate weld of GTAW indicate that the artificial neural network (ANN) modeling and learning control method have more advan-tages than the conventional method. They show that the ANN modeling and learning control method is an effective approach to real time control of welding dynamics and ideal quality.     

尾浪中导致船舶翻沉的临界状态

本文通过摇摆运动的等效线性方程，采用能量平衡法，给出了由于参数激振而产生导致船舶翻沉的临界状态的解析解。     

海上溢油事故的警示及防备措施

本文对近年来世界海运溢油事故现状以及其所产生的巨大危害进行了具体的阐述，分析事故产生的原因、防备的现状及存在的问题，提出防备措施。     

钻孔灌注桩施工中常见问题及预防措施

灌柱桩属于隐蔽工程，影响灌注桩施工质量的因素很多，在施工过程中经常出现各种事故，以下是本人在从事灌注桩施工过程中经常遇见的问题和如何解决的一些方法．以供大家借鉴。     

纯铜表面镍硼合金涂层的制备

用化学沉积技术制备了Ni-B表面强化铜基材料,研究了表面涂层的显微组织、涂液的成分对镍硼沉积速率的影响及有关性能.结果表明,用化学沉积技术能在纯铜表面形成一层均匀、连续的镍硼硬化层,镍硼涂层的沉积速率由涂液中的NiCl2, KBH4, NaOH, 稳定剂和H2NCH2CH2NH2的浓度控制, 涂层是非晶态组织和少量过饱和镍固溶体的混合物,热处理后在涂层中析出Ni2B和Ni3B化合物,改善了铜的表面硬度和耐磨损性能,对铜的电阻率影响不大.     

Connectivity-Based Watermarking Robust to Geometrical Attacks

Introduction Thegoalofdigitalwatermarkingtechniqueisto embedsomeunnoticeableinformation(calleda mark)inthecontentofmediainordertoprotect copyrightorauthenticateintegralityandverity.Many robustwatermarkingtechniqueshavesuccessfullyre sistednotonlycommonsig…     

基于灰色评价理论的危险品运输企业安全管理评价方法

运用灰色评价理论中的灰类白化权函数聚类方法,对危险品运输企业安全管理水平进行定性和定量相结合的综合分析,可实现对危险品运输企业安全管理水平更客观准确地评价.     

同步碎石封层技术在沥青路面预防性养护中的应用

结合同步碎石封层试验路,对同步碎石封层技术的材料选用、路用性能及施工工艺进行了研究和探讨,阐述了该项技术推广应用的可行性。     

Improved Sinusoid Analysis and Post-Processing in Parametric Audio Coding

This paper proposed improvements to the low bit rate parametric audio coder with sinusoid model as its kernel. Firstly, we propose a new method to effectively order and select the perceptually most important sinusoids. The sinusoid which contributes most to the reduction of overall NMR is chosen. Combined with our improved parametric psychoacoustic model and advanced peak riddling techniques, the number of sinusoids required can be greatly reduced and the coding efficiency can be greatly enhanced. A lightweight version is also given to reduce the amount of computation with only little sacrifice of performance. Secondly, we propose two enhancement techniques for sinusoid synthesis: bandwidth enhancement and line enhancement. With little overhead, the effective bandwidth can be extended one more octave ; the timbre tends to sound much brighter, thicker and more beautiful.