泥页岩中有机质-黏土复合体的微观结构、变形作用及源-储意义

泥页岩中的有机质和黏土矿物在沉积演化过程中能够相互结合形成有机质-黏土复合体,成为重要的生烃母质。基于大量的场发射扫描电镜和透射电镜观察分析,以中国鄂尔多斯盆地三叠系延长组、黔北奥陶系-志留系五峰组-龙马溪组、黔中寒武系牛蹄塘组及南华北盆地二叠系山西组4套泥页岩储层为研究对象,详细查明了泥页岩中有机质-黏土复合体的微观结构及变形作用,并深入探讨了其源-储意义。泥页岩中有机质-黏土复合体成分复杂,形态多样,且易发生变形;驱动复合体发生变形的主要机制有构造应力作用、矿物颗粒作用、有机质赋存及黏土矿物转化。其中,由外部构造应力和复合体内部矿物颗粒对黏土层、有机质层挤压引起的变形能够改变复合体局部应力环境,所形成的拉张环境可使复合体发育大量纳米孔隙,且这些孔隙因黏土层的保护而不易发生烃类散失,可有效提升泥页岩的储集能力。相关结论有助于完善泥页岩的成岩理论,增进对页岩油气生成、运移和储集过程的认识,进而指导页岩油气的勘探开发。     

基于配送收益均衡的多目标绿色车辆路径优化算法

针对电商平台物流中的碳排放成本较大以及配送过程中配送员收益不均衡的情况,为满足平台减少物流成本和人力成本的需求,提高车辆配送效率,降低碳排放量,实现低碳绿色出行,研究带有时间窗、配送收益均衡的多目标绿色车辆路径规划问题,并设计混合智能求解算法.首先,建立基于行驶速度的燃油消耗、基于模糊客户满意度的惩罚成本和配送收益均衡函数,构建以最小化燃油消耗量、惩罚成本和配送收益方差为目标的多目标绿色车辆路径模型;然后,将变邻域搜索算子融入NSGA-II算法,设计求解上述模型的多目标进化优化算法,以提高算法的寻优性能;最后,选择Solomon中的18个测试数据集进行实验,通过与2个模型和3种算法的超体积值和knee点值进行对比,验证所提出模型的可行性和算法的有效性,为降低碳排放量、实现低碳绿色出行提供新方案.     

Corrosion kinetics and patina evolution of galvanized steel in a simulated coastal-industrial atmosphere

The corrosion kinetics and patina (corrosion products) layer evolution of galvanized steel submitted to wet/dry cyclic corrosion test in a simulated coastal-industrial atmosphere was investigated. The results show that zinc coating has a greater corrosion rate during the initial period and a lower corrosion rate during the subsequent period, and the patina composition and structure can greatly affect the corrosion kinetics evolution of zinc coating. Moreover, Zn₅(OH)₆(CO₃)₂ and Zn₄(OH)₆SO₄ are identified as the main stable composition and exhibit an increasing relative amount; while Zn₁₂(OH)₁₅Cl₃(SO₄)₃ cannot stably exist and diminish in the patina layer as the corrosion develops.     

Low-valence ion addition induced more compact passive films on nickel-copper nano-coatings

Ni-Cu nano-coatings were prepared by pulsed electroplating technique in the baths containing various amount of boric acid. Their microstructure, morphologies and corrosion resistance were characterized in detail. The addition of boric acid strongly influences on the microstructure of the Ni-Cu coatings. The coating with a grain size of 130 nm, obtained from the bath containing 35 g L⁻¹ boric acid, shows the highest corrosion resistance. This is attributed to the low-valence Cu ion (Cu⁺) additions in nickel oxide, which could significantly decrease the oxygen ion vacancy density in the passive film to form a more compact passive film. The higher Cu⁺ additions and the lower diffusivity of point defects (D₀) are responsible for the formation of more compact passive film on the coating obtained from the bath with 35 g L⁻¹ boric acid.     

Prediction of stable high-pressure structures of tantalum nitride TaN2

Structure searches based on a combination of first-principles calculations and a particle swarm optimization technique unravel two new stable high-pressure structures (C2/m and Cmce) for TaN₂. The structural features, mechanical properties, formation enthalpies, electronic structure, and phase diagram of TaN₂ are fully investigated. Being mechanically and dynamically stable, the two phases could be made metastable experimentally at ambient conditions.     

Exhaustive and heuristic search approaches for learning a software defect prediction model

In this paper, we propose a software defect prediction model learning problem (SDPMLP) where a classification model selects appropriate relevant inputs, from a set of all available inputs, and learns the classification function. We show that the SDPMLP is a combinatorial optimization problem with factorial complexity, and propose two hybrid exhaustive search and probabilistic neural network (PNN), and simulated annealing (SA) and PNN procedures to solve it. For small size SDPMLP, exhaustive search PNN works well and provides an (all) optimal solution(s). However, for large size SDPMLP, the use of exhaustive search PNN approach is not pragmatic and only the SA–PNN allows us to solve the SDPMLP in a practical time limit. We compare the performance of our hybrid approaches with traditional classification algorithms and find that our hybrid approaches perform better than traditional classification algorithms.     

Ti/Fe EUTECTIC REACTION PROCESS

To obtain satisfactory joining between titanium alloys and stainless steel, it is of great significance to study the process of Ti-Fe eutectic reaction. The preliminary studies about the liquid forming, spreading and the structure of the contact reaction between pure Ti and pure Fe are carried out at 1 120℃for different holding times in high-frequency induction heated vacuum furnace. The results show that for Fe(particle-like)/Ti(plate-like) contact reaction couples, owing to Fe's higher density than titanium's, the Fe/Ti eutectic reaction develops in the thickness direction of plate-like Ti, named "deposition effect". Then the eutectic reaction can be realized without the inter-diffusion between Ti and Fe atoms, so the formation rate of the liquid phase is very quick. For Ti (particle-like)/ Fe (plate-like) contact reaction couples, the eutectic reaction has a strong direction, i.e. the eutectic liquid is formed mostly at the Ti side, which leads to much dissolution of Ti particle and very little dissolution of the Fe base metal. It can be seen that the diffusion rate of Fe in Ti determines the whole process of the eutectic reaction, behaved as that the dissolution rate of Ti (particle-like)/ Fe (plate-like) is much lower than that of Fe(particle-like)/Ti(plate-like), and the dissolution rate of Ti obeys the square root law. Whatever means the Ti, Fe are assembled by, only dissolution process can be founded, the spread phenomena is unobvious, which is concerned with the formation of the intermetallic compounds and the "deposition effect" of Fe.     

A study on type II structures. Part I:: a modified one-dimensional mass–spring model

Most impact energy-absorbing structures can be classified into one of two types in terms of the shape of the overall quasi-static load–displacement curve in the early stages of deformation. Type I has a relatively “flat-topped” curve, while type II has an initial peak load followed by a “steeply falling” curve. The previous work showed that the deformation of type II specimens is much more sensitive to the impact velocity than that of type I specimens. That is, when the total kinetic energy remains the same for all specimens, smaller final deformations result from higher impact velocities; and this phenomenon is much more significant for type II specimens than for type I specimens. In order to explain this characteristic of type II structures, a one-dimensional mass–spring model with variable mass is proposed for a typical type II structure (i.e., a pair of pre-bent plates), and used to examine the effects of the lateral inertia of the structure under impact. Unlike conventional mass–spring models, our system contains an equivalent variable mass, which is a function of the rotational angle at plastic hinges and comes into effect during the second phase of the dynamic response. Predictions of this analytical model agree very well with an ABAQUS FE simulation of the dynamic response of the pre-bent plates to impact; and this verifies the validity of the mass–spring model proposed.     

Analysis of drilling failure in soft and hard sandwiching of coal seam

The severe abrasion of drill bits will be confronted during drilling in soft and hard sandwiching of coal seam. Not only does this failure result in the increasing consumption of bits, but also it delays the construction period, significantly extending the duration of the delay, even causing borehole instability, resulting in a catastrophic buried well accident. In order to reveal the failure causes, the authors of this paper researched the wear properties of the tooth of bit. As the thermal damage is one of the main threats to drilling failure in soft and hard sandwiching, thermal related effects on the wear performance of polycrystalline diamond compacts (PCD) were studied by an Amsler friction and wear testing machine. Meanwhile, silica sands were added to the interface of wear couples throw a funnel instrument to meet the demand that wear conditions correspond more closely to those in actual coal seam drilling. The friction coefficient and wear rates was measured. The X-ray diffraction analysis was used to investigate the chemical composition and crystal structure of the PCDs soaked at different temperatures. The morphologies of the surface of PCDs were examined by metalloscope and scanning electron microscopy. The results show that the wear rate and wear coefficient all rose with the increase of wear load. So the drilling load over proper operation limits especially when the equipment stuck happened is the primary threat to bit failure. On the other hand, the wear coefficient is not sensitive to the soaking temperature when it is under 700 °C. But it decreases obviously when the temperature was over 800 °C, which seems to be corresponding to the graphitization of diamond and the oxidation of Co. This phenomenon indicates that the high temperature over 700 °C is the main cause of the drilling failure.