超声回弹综合法检测单一构件混凝土强度推定值的保证率分析

在实际工程检测数据的基础上,利用M on te C arlo试验对单一构件混凝土强度推定值的保证率问题进行了分析。30片梁板实测数据分析结果表明:将构件各测区混凝土强度换算值的最小值作为该构件的混凝土强度推定值的保证率范围为79.0%~94.2%,小于《超声回弹综合法检测混凝土强度技术规程》(CECS 02:88)规定的95%保证率要求,因此,对结构性能鉴定而言该混凝土强度推定值是偏于不安全的,应引起试验检测人员的充分重视。     

抛石防波堤人工护面块体强度模拟研究

本文主要研究了混凝土人工护面块体在模型试验中的强度模拟问题，根据不同比尺要求的强度指标，确定新型材料组成成份及其配比，并针对已有防波堤护面块体的破坏情况，进行了水槽模型验证试验。     

基于剩余强度衰减的混凝土疲劳寿命估算方法

从疲劳过程中材料静载强度不断退化的本质出发，提出一个混凝土剩余强度衰减模型，模型的参数可简单地由试验S—N曲线确定。将模型应用于复杂多级疲劳荷载作用下的混凝土剩余疲劳寿命估算时，可以得到令人满意的结果。     

后向散射强度与温跃层关系研究

2003年8月12-13日，用300kHz的坐底式声学多普勒海流剖面仪(ADCP)在台湾海峡北部海区进行了观测。根据回声强度计算得到的后向散射强度具有明显的日变化，这是浮游动物的垂直迁移造成的。此外，后向散射强度还与叶绿素、浊度和温度梯度有关，其中叶绿素、浊度和温度梯度对后向散射强度的贡献分别是1．41，7．73和3．54dB。温度梯度最大值的深度与后向散射强度第一个峰值的深度一致，故根据后向散射强度能推断出温跃层的位置。     

复杂应力状态下混凝土的变形和强度特性

为解决混凝土平台设计中遇到的复杂应力状态下混凝土的变形和强度特性,本文利用自制的多轴混凝土的变形和强度试验装置,对混凝土在平面应力状态下的变形和强度特性进行了试验研究,并根据试验结果,建立了相应的内时损伤本构模型及破坏准则,编制了相应的计算机程序,并进行了实例分析,其结果与试验值符合较好。     

自适应模糊神经推理系统在混凝土强度评定中的应用

混凝土强度评定的准确性对结构物的安全性评价具有很大的影响。为了充分利用钻芯法和回弹法这2种常用混凝土测强方法的特点,建立自适应模糊神经推理系统模型来综合评定结构的混凝土强度。将回弹值的常用对数和碳化深度值作为模型的输入,钻芯值的常用对数作为模型的输出。模型参数采用混合算法确定。其中,条件参数采用梯度下降法来调整;结论参数采用最小二乘法来调整。该模型可以有效地映射出训练数据之间复杂的非线性关系。通过对已有的钻芯、回弹试验数据的对比计算,自适应模糊神经推理系统方法的强度预测精度高于常规的回归方法。     

沉入式大圆筒码头稳定性有限元强度折减法分析

由于作用荷载复杂,沉入式大圆筒码头结构设计计算需要考虑不利情况下的各种荷载组合,难以应用现有的有限元加载系数法进行稳定性分析。有限元强度折减法目前已广泛应用于土体边坡稳定性分析。沉入式大圆筒结构的抗滑、抗倾稳定性是靠地基土的嵌固作用来维持的,可通过弱化土体强度来实现对结构极限破坏状态的模拟。在此假设基础上,建立沉入式大圆筒码头稳定性分析的有限元强度折减法。结合某工程实例,利用有限元强度折减法分析沉入式大圆筒码头结构的稳定性。强度折减法只需对土体的强度进行弱化,操作方便,克服了加载系数法的缺点,适用于码头等作用荷载复杂的结构物稳定性分析。     

固定式海洋平台极限强度试验研究

根据墨西哥湾某海域一典型固定式海洋平台为原型,按照几何相似准则和刚度相似准则设计并制作海洋平台试验模型,开展极限强度模型试验研究,观察并记录其破坏过程。并采用非线性有限元方法(ANSYS)对试验模型进行极限强度数值计算,将计算结果与试验结果对比,结果表明计算结果与试验结果吻合较好,验证非线性有限元方法的有效性。     

1949-2017年南海海域热带气旋强度和路径快速变化统计特征

为进一步认识南海地区热带气旋强度和路径快速变化的统计特征,利用中国气象局上海台风研究所整编的1949–2017年的热带气旋最佳路径数据集,统计分析了不同强度等级热带气旋发生强度和路径快速变化的特征。结果表明:(1)由强热带风暴快速加强为台风、以及由台风快速加强为强台风是热带气旋强度快速加强发生频率最多的事件;强度快速加强次数以1次居多,一般不会超过2次;但大部分途经南海的热带气旋出现快速加强时都在南海以外的地区,在南海出现快速加强的概率仅为9.8%。(2)不同强度的热带气旋,其强度的维持时间长短对其强度快速加强有重要影响,一般在该强度的前24 h是快速加强的最佳阶段,当其中心气压下降速度超过?12.0 hPa/(6 h)时容易出现台风级别或以上的强度快速加强,且热带气旋快速加强容易出现在海温偏高地区。(3)南海地区热带气旋路径的偏转主要出现在西行路径中,其中以5°～30°的偏转为最常见,占到全部热带气旋总数的48.65%,不过,按照定义的路径快速转向标准,路径快速转向的概率仅有15.13%。随着热带气旋强度的增强,南海地区发生路径快速转向的频次迅速减少,路径快速转向主要出现在近海岸地区和南海中北部偏东区域。这些结果进一步细化和丰富了对南海地区热带气旋强度和路径快速变化的认识。     

隔水管卡簧式快速接头强度分析

隔水管是井口平台的重要组成构件。许多早期建设的井口平台隔水管采用卡簧式快速接头进行机械连接,卡簧作为主要连接构件,其完好程度对结构的强度有重要影响。本文针对卡簧式快速接头,基于ANSYS建立了快速接头有限元实体模型,找到了合理模拟卡簧与公母接头接触、施加端部作用力及模拟损伤破坏等问题的方法,进行了快速接头的强度分析;并在此基础上分析了卡簧完好、损伤25%、损伤50%、完全损坏情况下的接头应力变化,比较了卡簧损伤位置对接头强度的影响。计算结果表明,卡簧损伤50%时卡簧对接头几乎没有约束作用;卡簧的约束作用主要是由受拉一侧卡簧提供。     

Characteristics of Deformation and Strength of Concrete in Plane Strain State

- The characteristics of deformation and strength of concrete under the plane strain condition are studied experimentally with the triaxial apparatus designed by the authors and are compared with those under the plane stress condition. A formula of stress transformation between plane stress and plane strain conditions is proposed for the elasto-plastic state, and it provides a theoretical basis for simplifying nonlinear analysis and fully using the strength of concrete.     

水泥混凝土路面施工探讨

结合宁连一级公路连云港段10km水泥混凝土路面和连云港市新牛线及连云港市玉凤路水泥混凝土路面施工经验,对水泥路面常见病害进行了分析,以期找到一套完整可行的水泥混凝土路面的施工方法。     

Effects of Curing Conditions on Strength Development of High Strength Concrete

This paper presents the results of a series of studies on the influence of curing conditions onthe strength development of high strength concrete.The 1-,3-,7-,14-and 28-day strengths of four dif-ferent mixes of Grade 75～80 concrete,with or without pulverized fuel ash and/or condensed silica fume,under five different curing regimes were investigated.It is revealed that the curing conditions have signifi-cant influence on both the short term and long term strength development of the concrete and that con-crete mixes of the same grade but containing different mineral admixtures show distinct favour for a cur-ing regime.These results will be helpful for evaluating suitable curing methods for high strength concretewith different mix proportions.     

Strength of Lightweight Concrete Under Triaxial Compression

The strength of lightweight concrete under triaxial compressive stress is studied experimentally with the concrete triaxial apparatus designed by the authors, and is compared with that of normal concrete under the same stress state. Ninety-five 100 mm cubes under twenty stress ratios are tested. As compared with normal concrete, it is found that not only the multiaxial compressive strength of lightweight concrete is small, but also the ratio of the multiaxial compressive strength to the uniaxial compressive strength is small. The influence of the intermediate principal stress on the multiaxial strength of lightweight concrete is discussed. The strength criteria which are expressed in the principal stresses and the octahedral stresses respectively are proposed.     

Behavior of Deformation and Strength of Concrete Under Biaxial Stresses

The study of the behavior of concrete under biaxial stresses is essential to the design of offshore concrete platforms. Using the multiaxial test apparatus developed by the authors, the deformation and strength of concrete under biaxial stresses are studied experimentally. Based on the test data, an endochronic damage constitutive model and a failure criterion are proposed. According to the above model, an incremental nonlinear iterative programme is developed, and a plate sample in plane stress state is analyzed.     

普强高性能混凝土受压应力-应变全曲线试验研究

通过普强高性能混凝土和普通混凝土的应力-应变全曲线试验研究,得到一系列应力-应变曲线。对普强高性能混凝土和普通混凝土的立方体抗压强度与棱柱体抗压强度的关系、棱柱体抗压强度与峰值应力所对应应变的关系及棱柱体抗压强度与初始弹性模量的关系进行了分析。结果表明,虽然普强高性能混凝土的力学性能与普通混凝土的力学性能存在一定的差别,但主要力学性能还是相似的。说明在不改变混凝土的力学性能的基础上通过对普通强度混凝土原材料的优选和配合比的优化能够提高混凝土的耐久性能。     

Effect of Silica Fume on Compressive Strength of Oil-Polluted Concrete in Different Marine Environments

In the present research, effect of silica fume as an additive and oil polluted sands as aggregates on compressive strength of concrete were investigated experimentally. The amount of oil in the designed mixtures was assumed to be constant and equal to 2% of the sand weight. Silica fume accounting for 10%, 15% and 20% of the weight is added to the designed mixture. After preparation and curing, concrete specimens were placed into the three different conditions: fresh, brackish and saltwater environments (submerged in fresh water, alternation of exposed in air & submerged in sea water and submerged in sea water). The result of compressive strength tests shows that the compressive strength of the specimens consisting of silica fume increases significantly in comparison with the control specimens in all three environments. The compressive strength of the concrete with 15% silica fume content was about 30% to 50% higher than that of control specimens in all tested environments under the condition of using polluted aggregates in the designed mixture.     

Prediction of Load Carrying Capacity of Corroded Reinforced Concrete Beam

A novel method for prediction of the load carrying capacity of a corroded reinforced concrete beam (CRCB) is presented in the paper. Nine reinforced concrete beams, which had been working in an aggressive environment for more than 10 years, were tested in the laboratory. Comprehensive tests, including flexural test, strength test for corroded concrete and rusty rebar, and pullout test for bond strength between concrete and rebar, were condueted. The flexural test results of CRCBs reveal that the distribution of surface cracks on the beams shows a fractal behavior. The relationship between the fractal dimensions and mechanical properties of CRCBs is then studied. A prediction model based on artificial neural network (ANN) is established by the use of the fractal dimension as the corrosion index, together with the basic intbrmation of the beam. The validity of the prediction model is demonstrated through the experimental data, and satisfactory resuits are achieved.     

基于BP人工神经网络的人工海水侵蚀对混凝土强度影响的试验研究

混凝土受盐害侵蚀破坏直接影响混凝土的强度和耐久性。针对混凝土受盐害侵蚀破坏功能函数不能明确表达及非线性程度高的特点,利用BP人工神经网络进行分析,在大量试验数据基础上,通过计算方法的优化和样本的训练,对隐含层和各隐含单元多次试取,最优选取trainglm训练函数,建立盐害预测的人工神经网络系统。解析结果表明,混凝土试件抗压强度预测值和试验实测值的相对误差较小,建立的人工神经网络模型具有较高的预测精度。