60 resultados para damage alarming and localization
Resumo:
由实验中得到的激光损伤概率与表面杂质密度的关系出发,结合XRD测试和激光损伤测试的结果,得到体缺陷或杂质破坏起主导作用的损伤机理.将激光作用时杂质吸收的热学和力学过程与杂质分布的统计规律结合起来,得到了深埋于薄膜内部的杂质诱导薄膜损伤概率与杂质密度、激光功率密度以及薄膜厚度的关系.该模型认为能诱导薄膜破坏的杂质尺寸范围与杂质填埋深度有关,所以不同深度处能诱导薄膜损伤的杂质密度不一样,理论结果与实验结果符合得很好.该理论模型还可以很好地解释损伤形貌.
Resumo:
用热舟蒸发法结合修正挡板技术制备了355 nm LaF3/MgF2增透膜,并对部分样品进行了真空退火。采用Lambda 900光谱仪测试了增透膜的低反光谱和透射光谱,并考察了其光谱稳定性;使用脉冲8 ns的355 nm激光测试了增透膜的激光损伤阈值(LIDT);采用Normarski显微镜对增透膜的表面缺陷密度和破斑形貌进行了观察。实验结果表明,制备得到的增透膜的剩余反射率较低,光谱稳定性好;真空退火对增透膜的激光损伤阈值没有改善;增透膜的破环形貌为散点形式,结合破斑深度测试表明薄膜的破坏源于薄膜和基底界面的缺陷点。JGS1熔石英基底由于有好的表面状况、固有的高激光损伤阈值和以其为基底的增透膜具有更低的表面场强,使得其上的增透膜有更高的抗激光损伤能力。
Resumo:
第一部分: 通过生理测定和化学染色分析了冬小麦品种小堰54和京411的叶片和非叶片组织的碳酸酐 酶活性。叶片碳酸酐酶活性(CA)在挑旗时期达到最大值,之后减少到最小,而在饱粒期又呈 增加趋势。从灌浆期到饱粒期,颖片和内稃的CA活性均减少,而外稃和种皮的CA活性均增加。在饱粒期,小堰54的叶片、颖片、外稃和种皮CA活性均高于京411。组织化学染色表明,CA主要分布在旗叶的叶肉细胞叶绿体中,也分布在非叶片组织颖片、外稃和内稃的叶肉和维管束鞘细胞的胞质中。这些结果表明,小麦非叶组织叶肉和维管束鞘细胞的胞质中的CA可能对饱粒期冬小麦的C4光合途径起作用。饱粒期小堰54的C02传递到Rubisco酶速率和抗旱性较京411高。 第二部分: 以继代培养的芦苇胚性细胞为材料,利用台盼兰拒染法检测了悬浮细胞死亡过程,并利用石蜡切片法及苏木精染色法观察了不同浓度镉对芦苇细胞的毒害作用。1000μM的CdCl2迅速导致芦苇悬浮细胞死亡,200μM的CdClz在接种后第5天引起悬浮细胞死亡,100μM的CdCl2在接种后第7天引起悬浮细胞死亡,≤50μM的CdClz在接种后7天不引起悬浮细胞死亡。同时对不同浓度镉处理的芦苇胚性细胞的内源植物激素和可溶性蛋白质进行分析,≤50μM的镉浓度显著地降低胚性细胞内IAA、ZR、GA3和GA4的含量,却提高ABA的含量,抑制可溶性蛋白质的合成:≥100μM的镉浓度显著地提高IAA、ZR、GA3和GA4的含量,却降低ABA的含量,促进可溶性蛋白质的合成。这些结果表明,镉的毒害至少包括镉浓度决定的两种细胞死亡机制,高浓度的镉(1000μM)引起的细胞死亡应当为坏死,而100μM的镉引起植物悬浮细胞发生程序性死亡。在较高浓度(≥100μM)的镉处理下,芦苇细胞内内源IAA、ZR、GA3和GA4的浓度较高,可能调控可溶性蛋白质的合成而促进细胞发生程序化死亡。
Resumo:
A high-resistivity defect layer buried beneath the silicon surface layer by using proton implantation and two-step conventional furnace annealing is described. During the first annealing step (600-degrees-C), implanted hydrogen atoms move towards the damage region and then coalesce into hydrogen gas bubbles at the residual defect layer. During the second annealing step (1180-degrees-C) these bubbles do not move due to their large volume. Structural defects are formed around the bubbles at a depth of approximately 0.5-mu-m. The defect layer results in a high resistivity value. Experiments show that the quality of the surface layer has been improved because the surface Hall mobility increased by 20%. The sample was investigated by transmission electron microscopy.
Resumo:
Thermally induced evolution of phase transformations is a basic physical-chemical process in the dissociation of gas hydrate in sediment (GHS). Heat transfer leads to the weakening of the bed soil and the simultaneous establishment of a time varying stress field accompanied by seepage of fluids and deformation of the soil. As a consequence, ground failure could occur causing engineering damage or/and environmental disaster. This paper presents a simplified analysis of the thermal process by assuming that thermal conduction can be decoupled from the flow and deformation process. It is further assumed that phase transformations take place instantaneously. Analytical and numerical results are given for several examples of simplified geometry. Experiments using Tetra-hydro-furan hydrate sediments were carried out in our laboratory to check the theory. By comparison, the theoretical, numerical and experimental results on the evolution of dissociation fronts and temperature in the sediment are found to be in good agreement.
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微机电系统、先进传感器、无线通信及现代网络等技术的进步,推动了无线传感器网络的产生和发展。集数据采集、处理、无线传输等功能于一体的无线传感器网络扩展了人们的信息获取能力,将逻辑上的信息世界与真实物理世界融合在一起,将改变人类与物理世界的交互方式。 无线传感器网络具有许多挑战性的研究课题,其中部署与定位是无线传感器网络应用的基础问题。部署就是在一定区域内通过适当的策略放置传感器节点以满足某种特定需求,它决定了网络对目标的检测能力。定位在无线传感器网络中包括两层含义:节点定位和目标定位。节点定位是目标定位的前提,会影响目标跟踪的精度。论文面向应用于目标跟踪的无线传感器网络,围绕部署与定位问题展开研究。 论文分别综述了无线传感器网络部署问题、定位问题和目标跟踪问题的研究内容、评价标准、算法分类和研究现状。 从信息覆盖的角度研究满足给定指标的确定性部署问题,提出一种基于检测融合的确定性部署策略。首先采用奈曼-皮尔逊准则融合单元网格内所有传感器节点的检测信息,实现正方形和正三角形两种单元网格的高效覆盖。然后分别给出对应的监测区域网格划分方法,从而确定监测区域需要的传感器节点数量以及放置的具体位置。使用相同数量的传感器节点,基于检测融合的部署策略可以获得更大的覆盖范围,也就是在保证一定感知性能的情况下减少了成本。 针对无线电干涉定位系统的多径效应抑制问题,分别从理论和实验的角度分析多径效应对无线电干涉测距的影响,然后根据多径信号的物理特性,从理论上推导了镜反射的多径误差数学模型,在此基础之上进行无线电干涉定位系统的多径误差分析,讨论了衰减因子、传感器节点天线高度和水平距离等多径参数对多径误差的影响。通过仿真计算和分析可知,衰减因子对多径误差的大小起着决定性作用,而多径误差在定位空间上分布的复杂程度,随着天线高度的增加而增加,同衰减因子无关。 无线电干涉测距技术获取的干涉距离是两个发送节点和两个接收节点间距离的线性组合值。针对以节点间距离作为输入的传统定位算法,无法直接利用上述干涉距离进行定位的问题,提出一种基于改进粒子群优化的定位方法。借鉴遗传算法中变异的思想,在每次迭代时对更新过的粒子位置进行微扰,以维持种群的活性。利用干涉距离的实验数据,分析比较了遗传算法和改进粒子群优化在无线电干涉定位系统节点定位问题中的性能。实验结果表明,两种定位方法都能在有限的进化代数内找到节点坐标的近似值,但是基于改进粒子群优化的定位方法的平均耗费时间,远远小于基于遗传算法的定位方法,具有更高的优化效率。 针对具有簇-树型网络拓扑结构的无线传感器网络,首先给出集中式粒子滤波跟踪算法实现的具体步骤,然后提出两种分布式粒子滤波跟踪算法。综合考虑信息收益和参与协作的资源消耗,两种分布式算法分别采用不同的准则来选择参与跟踪的传感器节点。为了系统地比较跟踪算法的性能,给出跟踪精度、通信开销、能量开销和跟踪反应时间等各项指标的定义,进而构建了综合性能评价体系。通过仿真,量化比较了三种跟踪算法的性能。结果表明,两种分布式算法能够在损失很少跟踪精度的同时,大幅度减少通信开销、能量开销和跟踪反应时间。最后,仿真分析了传感器节点覆盖密度和检测阈值对跟踪算法性能的影响。 总之,论文对无线传感器网络的部署问题、定位问题和目标跟踪问题进行了研究和探讨,旨在对无线传感器网络的应用起到一定的促进作用。
Resumo:
Study and Application of Damage Mechanism and Protection Method of reservoir in Nanpu Shallow Beach Sea Area is one of the key research projects of Jidong Oilfield Company of PetroChina Company Limited from 2007 to 2008. Located at Nanpu Sag in Huanghua Depression of Bohaiwan Basin, Nanpu Shallow Beach Sea Area with 1000km2 exploration area posseses three sets, shallow Minghuazhen Formation and Guantao Formation of Upper Tertiary, middle-deep Dongying Formation of Lower Tertiary, deep Ordovician, of oil bearing series, according to the achievement of the connecting 3D seismic structure interpretation and the structural geological comprehensive research. Its main reservoir types include Upper Tertiary structural reservoir, Lower Tertiary structural and lithological-structural reservoir, and Ordovician ancient buried hill reservoir. How to protect reservoir, complete well and lift high efficiently is the key to realize high and stable yield of the oil wells during drilling, completing well, testing and repairing well. It is important for reservoir protecting during drilling that directly relate to efficient exploration. Therefore, beginning with basic characteristics and sensitive analysis of reservoir, study of reservoir damage machinism and analysis of reservoir damage potential factor are emphasized when prediction analysis about three-pressure profiles is carried out. The study both of physical and chemical properties and of the strata of the technology of borehole stabilization and reservoir protecting are outstanding. As the conclusions follow: (1)Based on the laboratory experiment about basalt cores, prediction of three- pressure profiles about 30 wells on No.1 and No.2 structure is practiced. The laws of plane pressure distribution are analyzed. (2)According to the analyses about reservoir feature data and about sensitivity evaluation to damage factor in Nanpu oil field, the scheme of reservoir protecting to the sand reservoir of Guantao Formation and the first section of Dongying Formation is put forward. (3)On basis of the analyses on lithological characteristics, mineral compositions, clay minerals, electrical behavior features, physical and chemical properties of basalt of Guantao formation in No.1 and No.2 structure, instability mechanism of basalt sidewall and technical countermeasures are obtained. (4)Aiming at the characteristics of Ordovician dissolution-pore fracture type carbonate reservoir, the scheme of the reservoir protecting to Ordovician is put forward. Creative study of the film forming and sealing and low invasion reservoir protection drilling fluid are successful. In summary, through the study of reservoir heterogeneity and sensitivity, a set of technology and schemes of reservoir protecting is put forward, which is adaptive during drilling the target bed in the research area and establishes the base for efficient exploration. Significant effect has showed in its application in Nanpu oil field.
Resumo:
It is a basic work to ascertain the parameters of rock mass for evaluation about stability of the engineering. Anisotropism、inhomogeneity and discontinuity characters of the rock mass arise from the existing of the structural plane. Subjected to water、weathering effect、off-loading, mechanical characters of the rock mass are greatly different from rock itself, Determining mechanical parameters of the rock mass becomes so difficult because of structure effect、dimension effect、rheological character, ‘Can’t give a proper parameter’ becomes one of big problems for theoretic analysis and numerical simulation. With the increment of project scale, appraising the project rock mass and ascertaining the parameters of rock mass becomes more and more important and strict. Consequently, researching the parameters of rock mass has important theoretical significance and actual meaning. The Jin-ping hydroelectric station is the first highest hyperbolic arch dam in the world under construction, the height of the dam is about 305m, it is the biggest hydroelectric station at lower reaches of Yalong river. The length of underground factory building is 204.52m, the total height of it is 68.83m, the maximum of span clearance is 28.90m. Large-scale excavation in the underground factory of Jin-ping hydroelectric station has brought many kinds of destructive phenomenon, such as relaxation、spilling, providing a precious chance for study of unloading parameter about rock mass. As we all know, Southwest is the most important hydroelectric power base in China, the construction of the hydroelectric station mostly concentrate at high mountain and gorge area, basically and importantly, we must be familiar with the physical and mechanical character of the rock mass to guarantee to exploit safely、efficiently、quickly, in other words, we must understand the strength and deformation character of the rock mass. Based on enough fieldwork of geological investigation, we study the parameter of unloading rock mass on condition that we obtain abundant information, which is not only important for the construction of Jin-ping hydroelectric station, but also for the construction of other big hydroelectric station similar with Jin-ping. This paper adopt geological analysis、test data analysis、experience analysis、theory research and Artificial Neural Networks (ANN) brainpower analysis to evaluate the mechanical parameter, the major production is as follows: (1)Through the excavation of upper 5-layer of the underground powerhouse and the statistical classification of the main joints fractures exposed, We believe that there are three sets of joints, the first group is lay fracture, the second group and the fourth group are steep fracture. These provide a strong foundation for the following calculation of and analysis; (2)According to the in-situ measurement about sound wave velocity、displacement and anchor stress, we analyses the effects of rock unloading effect,the results show a obvious time-related character and localization features of rock deformation. We determine the depth of excavation unloading of underground factory wall based on this. Determining the rock mass parameters according to the measurement about sound wave velocity with characters of low- disturbing、dynamic on the spot, the result can really reflect the original state, this chapter approximately the mechanical parameters about rock mass at each unloading area; (3)Based on Hoek-Brown experienced formula with geological strength index GSI and RMR method to evaluate the mechanical parameters of different degree weathering and unloading rock mass about underground factory, Both of evaluation result are more satisfied; (4)From the perspective of far-field stress, based on the stress field distribution ideas of two-crack at any load conditions proposed by Fazil Erdogan (1962),using the strain energy density factor criterion (S criterion) proposed by Xue changming(1972),we establish the corresponding relationship between far-field stress and crack tip stress field, derive the integrated intensity criterion formula under the conditions of pure tensile stress among two line coplanar intermittent jointed rock,and establish the corresponding intensity criterion for the exploratory attempt; (5)With artificial neural network, the paper focuses on the mechanical parameters of rock mass that we concerned about and the whole process of prediction of deformation parameters, discusses the prospect of applying in assessment about the parameters of rock mass,and rely on the catalog information of underground powerhouse of Jinping I Hydropower Station, identifying the rock mechanics parameters intellectually,discusses the sample selection, network design, values of basic parameters and error analysis comprehensively. There is a certain significance for us to set up a set of parameters evaluation system,which is in construction of large-scale hydropower among a group of marble mass.
Resumo:
In order to reveal the underlying mesoscopic mechanism governing the experimentally observed failure in solids subjected to impact loading, this paper presents a model of statistical microdamage evolution to macroscopic failure, in particular to spallation. Based on statistical microdamage mechanics and experimental measurement of nucleation and growth of microcracks in an Al alloy subjected to plate impact loading, the evolution law of damage and the dynamical function of damage are obtained. Then, a lower bound to damage localization can be derived. It is found that the damage evolution beyond the threshold of damage localization is extremely fast. So, damage localization can serve as a precursor to failure. This is supported by experimental observations. On the other hand, the prediction of failure becomes more accurate, when the dynamic function of damage is fitted with longer experimental observations. We also looked at the failure in creep with the same idea. Still, damage localization is a nice precursor to failure in creep rupture.
Resumo:
Large earthquakes can be viewed as catastrophic ruptures in the earth’s crust. There are two common features prior to the catastrophe transition in heterogeneous media. One is damage localization and the other is critical sensitivity; both of which are related to a cascade of damage coalescence. In this paper, in an attempt to reveal the physics underlying the catastrophe transition, analytic analysis based on mean-field approximation of a heterogeneous medium as well as numerical simulations using a network model are presented. Both the emergence of damage localization and the sensitivity of energy release are examined to explore the inherent statistical precursors prior to the eventual catastrophic rupture. Emergence of damage localization, as predicted by the mean-field analysis, is consistent with observations of the evolution of damage patterns. It is confirmed that precursors can be extracted from the time-series of energy release according to its sensitivity to increasing crustal stress. As a major result, present research indicates that the catastrophe transition and the critical point hypothesis (CPH) of earthquakes are interrelated. The results suggest there may be two cross-checking precursors of large earthquakes: damage localization and critical sensitivity.
Resumo:
In this paper, an elastic and statistically brittle (ESB) model is applied to the process of damage evolution induced catastrophic rupture and the influence of localization and softening on catastrophic rupture is discussed. According to the analysis, the uncertainty of catastrophic rupture should be attributed to the unknown scale of localized zone. Based on the elastic and statistically brittle model but local mean field approximation, the relation between the scale of localized zone and catastrophic rupture is obtained and then justified with experiments. These results can not only give a deeper understanding of the mechanism governing catastrophic rupture, but also provide a possible tool to foresee the occurrence of catastrophic rupture.
Resumo:
Dynamic function of damage is the key to the problem of damage evolution of solids. In order to understand it, one must understand its mesoscopic mechanisms and macroscopic formulation. In terms of evolution equation of microdamage and damage moment, a dynamic function of damage is strictly defined. The mesoscopic mechanism underlying self-closed damage evolution law is investigated by means of double damage moments. Numerical results of damage evolution demonstrate some common features for various microdamage dynamics. Then, the dynamic function of damage is applied to inhomogeneous damage field. In this case, damage evolution rate is no longer equal to the dynamic function of damage. It is found that the criterion for damage localization is closely related to compound damage. Finally, an inversion of damage evolution to the dynamic function of damage is proposed.
Resumo:
In order to explore a prior warning to catastrophic rupture of heterogeneous media, like rocks, the present study investigates the relationship between surface strain localization and catastrophic rupture. Instrumented observations on the evolution of surface strain field and the catastrophic rupture of a rock under uniaxial compression were carried out. It is found that the evolution of surface strain field displays two phases: at the early stage, the strain field keeps nearly uniform with weak fluctuations increasing slowly; but at the stage prior to catastrophic rupture, a certain accelerating localization develops and a localized zone emerges. Based on the measurements, an analysis was performed with local mean-field approximation. More importantly, it is found that the scale of localized zone is closely related to the catastrophic rupture strain and the rupture strain can be calculated in accord with the local-mean-field model satisfactorily. This provides a possible clue to the forecast of catastrophic rupture. (c) 2007 Elsevier Ltd. All rights reserved.
“Deborah Numbers”, Coupling Multiple Space and Time Scales and Governing Damage Evolution to Failure
Resumo:
Two different spatial levels are involved concerning damage accumulation to eventual failure. nucleation and growth rates of microdamage nN* and V*. It is found that the trans-scale length ratio c*/L does not directly affect the process. Instead, two independent dimensionless numbers: the trans-scale one * * ( V*)including the * **5 * N c V including mesoscopic parameters only, play the key role in the process of damage accumulation to failure. The above implies that there are three time scales involved in the process: the macroscopic imposed time scale tim = /a and two meso-scopic time scales, nucleation and growth of damage, (* *4) N N t =1 n c and tV=c*/V*. Clearly, the dimensionless number De*=tV/tim refers to the ratio of microdamage growth time scale over the macroscopically imposed time scale. So, analogous to the definition of Deborah number as the ratio of relaxation time over external one in rheology. Let De be the imposed Deborah number while De represents the competition and coupling between the microdamage growth and the macroscopically imposed wave loading. In stress-wave induced tensile failure (spallation) De* < 1, this means that microdamage has enough time to grow during the macroscopic wave loading. Thus, the microdamage growth appears to be the predominate mechanism governing the failure. Moreover, the dimensionless number D* = tV/tN characterizes the ratio of two intrinsic mesoscopic time scales: growth over nucleation. Similarly let D be the “intrinsic Deborah number”. Both time scales are relevant to intrinsic relaxation rather than imposed one. Furthermore, the intrinsic Deborah number D* implies a certain characteristic damage. In particular, it is derived that D* is a proper indicator of macroscopic critical damage to damage localization, like D* ∼ (10–3~10–2) in spallation. More importantly, we found that this small intrinsic Deborah number D* indicates the energy partition of microdamage dissipation over bulk plastic work. This explains why spallation can not be formulated by macroscopic energy criterion and must be treated by multi-scale analysis.
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Table of Contents
1 | Introduction | 1 |
1.1 | What is an Adiabatic Shear Band? | 1 |
1.2 | The Importance of Adiabatic Shear Bands | 6 |
1.3 | Where Adiabatic Shear Bands Occur | 10 |
1.4 | Historical Aspects of Shear Bands | 11 |
1.5 | Adiabatic Shear Bands and Fracture Maps | 14 |
1.6 | Scope of the Book | 20 |
2 | Characteristic Aspects of Adiabatic Shear Bands | 24 |
2.1 | General Features | 24 |
2.2 | Deformed Bands | 27 |
2.3 | Transformed Bands | 28 |
2.4 | Variables Relevant to Adiabatic Shear Banding | 35 |
2.5 | Adiabatic Shear Bands in Non-Metals | 44 |
3 | Fracture and Damage Related to Adiabatic Shear Bands | 54 |
3.1 | Adiabatic Shear Band Induced Fracture | 54 |
3.2 | Microscopic Damage in Adiabatic Shear Bands | 57 |
3.3 | Metallurgical Implications | 69 |
3.4 | Effects of Stress State | 73 |
4 | Testing Methods | 76 |
4.1 | General Requirements and Remarks | 76 |
4.2 | Dynamic Torsion Tests | 80 |
4.3 | Dynamic Compression Tests | 91 |
4.4 | Contained Cylinder Tests | 95 |
4.5 | Transient Measurements | 98 |
5 | Constitutive Equations | 104 |
5.1 | Effect of Strain Rate on Stress-Strain Behaviour | 104 |
5.2 | Strain-Rate History Effects | 110 |
5.3 | Effect of Temperature on Stress-Strain Behaviour | 114 |
5.4 | Constitutive Equations for Non-Metals | 124 |
6 | Occurrence of Adiabatic Shear Bands | 125 |
6.1 | Empirical Criteria | 125 |
6.2 | One-Dimensional Equations and Linear Instability Analysis | 134 |
6.3 | Localization Analysis | 140 |
6.4 | Experimental Verification | 146 |
7 | Formation and Evolution of Shear Bands | 155 |
7.1 | Post-Instability Phenomena | 156 |
7.2 | Scaling and Approximations | 162 |
7.3 | Wave Trapping and Viscous Dissipation | 167 |
7.4 | The Intermediate Stage and the Formation of Adiabatic Shear Bands | 171 |
7.5 | Late Stage Behaviour and Post-Mortem Morphology | 179 |
7.6 | Adiabatic Shear Bands in Multi-Dimensional Stress States | 187 |
8 | Numerical Studies of Adiabatic Shear Bands | 194 |
8.1 | Objects, Problems and Techniques Involved in Numerical Simulations | 194 |
8.2 | One-Dimensional Simulation of Adiabatic Shear Banding | 199 |
8.3 | Simulation with Adaptive Finite Element Methods | 213 |
8.4 | Adiabatic Shear Bands in the Plane Strain Stress State | 218 |
9 | Selected Topics in Impact Dynamics | 229 |
9.1 | Planar Impact | 230 |
9.2 | Fragmentation | 237 |
9.3 | Penetration | 244 |
9.4 | Erosion | 255 |
9.5 | Ignition of Explosives | 261 |
9.6 | Explosive Welding | 268 |
10 | Selected Topics in Metalworking | 273 |
10.1 | Classification of Processes | 273 |
10.2 | Upsetting | 276 |
10.3 | Metalcutting | 286 |
10.4 | Blanking | 293 |
Appendices | 297 | |
A | Quick Reference | 298 |
B | Specific Heat and Thermal Conductivity | 301 |
C | Thermal Softening and Related Temperature Dependence | 312 |
D | Materials Showing Adiabatic Shear Bands | 335 |
E | Specification of Selected Materials Showing Adiabatic Shear Bands | 341 |
F | Conversion Factors | 357 |
References | 358 | |
Author Index | 369 | |
Subject Index | 375 |