高温作用后纤维素纤维混凝土抗压强度试验研究

开展了高温作用后纤维素纤维混凝土的抗压强度试验,研究分析了温度和纤维掺量对混凝土抗压强度的影响.研究表明,与素混凝土相比,纤维素纤维混凝土高温后的外观相对较好;纤维素纤维掺量不同的情况下,混凝土外观损伤并无明显差异;200℃时,混凝土的抗压强度稍有提高;400℃后,混凝土抗压强度急剧下降;800℃时,混凝土的抗压强度仅为常温下抗压强度的25%左右;纤维素纤维对于混凝土常温及高温后的抗压强度均有一定提高作用,纤维掺量0.9~1.2 kg/m3时,效果最为显著.当温度达到800℃时,纤维素纤维混凝土与素混凝土的抗压强度已无明显差异.     

高温对玄武岩纤维筋混杂纤维再生混凝土粘结性能的影响

通过中心拉拔试验研究玄武岩纤维筋(BFRP筋)与混杂纤维再生混凝土高温后粘结性能。选取体积掺量均为0.15%的玄武岩和纤维素纤维混掺再生混凝土中,目标温度为20°C、200°C、400°C、600°C和800°C。试验研究结果表明：相同温度条件下,混杂纤维的掺入有效提高了粘结强度；再生混凝土与BFRP筋的粘结弹性模量随着温度升高而逐渐降低；峰值粘结强度随温度升高出现先上升后降低的趋势；未掺入混杂纤维的随温度升高峰值粘结强度逐渐降低。建立了粘结-滑移曲线且与试验结果吻合较好,可为BFRP筋与混杂纤维再生混凝土粘结性能研究提供一定的参考。     

高温下复掺纤维RPC立方体抗压性能研究

完成了108个70.7mm×70.7mm×70.7mm复掺纤维活性粉末混凝土(RPC)立方体试块高温下抗压试验.考察了聚丙烯纤维(PPF)和钢纤维复掺对RPC高温爆裂的抑制效果,研究了温度和复掺纤维掺量对高温下RPC立方体抗压性能的影响.结果表明:体积掺量2%的钢纤维和0.2%的PPF复掺能有效防止RPC爆裂,高温下立方体RPC的抗压强度也相对较高.100℃时RPC的立方体抗压强度比常温低,200～500℃时立方体抗压强度相比100℃时有所升高,600～800℃时立方体抗压强度相对500℃时降低.若钢纤维掺量相同,则20～300℃时,立方体抗压强度随PPF掺量增大而降低;400～800℃时,立方体抗压强度随PPF掺量增大而提高.若PPF掺量相同,则20～100℃时,立方体抗压强度随钢纤维掺量的增大而提高;200～800℃时,立方体抗压强度随钢纤维掺量的增大而降低;100～400℃时复掺纤维RPC的立方体相对抗压强度低于普通混凝土和高强混凝土,400～800℃时复掺纤维RPC的相对抗压强度则较大.基于试验结果,拟合出了不同纤维掺量的RPC高温下立方体抗压强度随温度变化的计算公式.     

高温作用后纤维素纤维混凝土渗透性试验研究

开展高温作用后纤维素纤维混凝土的氯离子渗透性试验,研究分析了温度和纤维掺量对混凝土渗透性能的影响.研究表明:高温后纤维素纤维混凝土的氯离子扩散系数随着温度的升高逐渐增大,且上升趋势随着温度的升高而减缓.温度在200℃左右时,混凝土的氯离子扩散系数提高比较明显,大约是常温下的3倍左右;温度达到400℃时,混凝土氯离子扩散系数的提高开始减缓,大约是常温下的4倍左右;当温度升高到600℃时,混凝土的氯离子扩散系数继续提高,大约是常温下的5倍左右.纤维素纤维的掺入降低了混凝土常温及高温后的氯离子渗透性,纤维掺量为0.6~0.9 kg/m3时,效果最为显著,随着纤维掺量的增加,纤维素纤维混凝土的氯离子渗透性有所增大.     

高温后方钢管再生混凝土界面黏结性能及本构方程

为了揭示高温后方钢管与再生混凝土的界面黏结性能，以最高经历温度（T）、再生 粗骨料取代率（γ）为变化参数，设计并完成了20个试件高温后的推出试验. 通过试验观察了试 件的受力破坏过程及形态，获取了试件加载端和自由端的荷载-滑移曲线，分析了各变化参数 对界面黏结性能及界面损伤发展过程的影响规律，并提出了相应的黏结强度的计算公式及黏 结滑移本构方程 . 结果表明：试件加载端和自由端的荷载-滑移曲线形态基本一致，但加载端 的初始滑移发生相对更早，曲线形态可以分为T≤200 ℃和T≥400 ℃两类；界面黏结性能整体上 相比方钢管普通混凝土较差（相应的黏结性能平均差距范围约为3.10%~19.05%）；随着经历温 度的升高，黏结强度及黏结抗剪刚度先减小后增大，界面耗能能力则逐渐增大；随着再生粗骨 料取代率的提高，黏结强度逐渐减小，而黏结抗剪刚度和界面耗能能力则均呈现先增大后减 小再小幅恢复的变化趋势；界面初始黏结损伤的发生在T=600 ℃时明显推迟，并随再生粗骨料 取代率的提高表现出逐渐提早的趋势，而T≤400 ℃时经历温度及再生粗骨料取代率对其影响 均不大；黏结损伤发展速度随经历温度和再生粗骨料取代率的升高呈现先增大后减小的变化 趋势.     

高温下钢筋与混凝土的黏结性能试验与分析

为研究钢筋混凝土构件在高温下的黏结性能,制作了25个中心拉拔试件及8个温度场试件,同时制作了标准立方体试块.对钢筋、标准立方体试块及中心拉拔试件分别进行室温(20℃)、100℃、200℃、400℃和600℃加温,完成了高温后钢筋抗拉强度试验、高温下标准立方体试块劈裂抗拉强度试验、温度场试验及中心拉拔试验.根据温度场试验研究结果,提出一种简易的高温下中心拉拔试验的方法,阐述不同温度下钢筋强度、混凝土抗拉劈裂强度及钢筋与混凝土黏结性能的退化规律,并从混凝土的力学性能退化角度分析了高温环境对黏结强度的影响,并以割线刚度的方法定量地研究了高温对黏结刚度的影响.试验结果表明:高温后钢筋强度在低于400℃时变化不大,高温下混凝土劈裂抗拉强度基本呈线性下降,且高温下钢筋与混凝土的黏结强度变化趋势与混凝土抗拉强度衰减趋势相近.以滑移量0.015mm为临界点,黏结刚度与温度的关系曲线呈现两种不同变化形式.     

变形钢筋与高强轻骨料混凝土的黏结-滑移性能

研究变形钢筋与轻骨料混凝土间的黏结-滑移性能,完成了9组中心拉拔试验,分析了轻骨料混凝土强度、锚固长度、粗骨料类型及钢筋的直径对黏结应力的影响.结合试验结果,采用厚壁模型,给出了轻骨料混凝土黏结强度的解析解,并建立了钢筋与轻骨料混凝土间的黏结应力-滑移曲线本构模型.结果表明:轻骨料混凝土的黏结-滑移性能主要受砂浆强度影响,使得该类混凝土与变形钢筋间的黏结应力优于普通混凝土;黏结强度随着轻骨料混凝土的强度提高而增加,随着黏结长度的降低而增加;本文提出的本构模型能够较为准确地预测试验曲线.     

混杂纤维自密实混凝土的轴拉性能试验

通过对不同纤维掺量的自密实混凝土试件进行轴向拉伸试验,获得了不同纤维掺量材料试件的应力-应变曲线,并通过已获得的曲线分析混杂纤维对自密实混凝土轴拉特性的影响.通过分析表明:在自密实混凝土中掺入纤维能有效地提高混凝土的抗拉强度,并且能有效地提高混凝土的峰值应变.     

高温下型钢混凝土黏结滑移性能研究

高温下型钢与混凝土之间的黏结滑移对型钢混凝土结构高温下的力学性能具有重要影响,为了研究高温下型钢混凝土的黏结强度与滑移特性,进行18个高温下型钢混凝土短柱推出试验及3个常温下的对比试验.试验结果表明:高温下型钢混凝土短柱试件的荷载-滑移曲线与常温下大体相似,分为上升段、下降段、残余段.随着温度的升高和最高温度持续时间的增大,型钢与混凝土之间的极限黏结强度和残余黏结强度不断降低,与极限黏结强度相对应的滑移减小,与残余黏结强度项对应的滑移加大.在试验结果基础上,构建了高温下型钢混凝土黏结滑移本构模型,提出了本构模型中极限黏结强度、残余黏结强度及相应滑移的计算方法,计算结果与试验结果基本相符,研究成果为高温下型钢混凝土构件考虑黏结滑移影响的数值模拟分析提供了条件.     

高温后植筋黏结滑移力学性能试验

对在不同受热温度和不同加载制度下混凝土构件中2种锚固长度植筋的黏结滑移力学性能进行了试验.植筋的锚固长度分别为7倍和15倍植筋直径,受热温度分别为50℃,80℃,150℃和200℃.加载制度考虑单向拉拔和反复加载.分析了加载制度、锚固长度和加热温度对植筋试件的极限黏结应力和极限滑移的影响.结果表明,不同条件对植筋试件的黏结滑移力学性能有显著影响.根据试验结果给出了高温后植筋试件黏结应力的计算方法.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.