基于神经网络的钢筋混凝土异型节点损伤分析

提出了将神经网络技术引入到钢筋混凝土构件损伤分析中的意义,并介绍了其在结构分析中的应用。根据低周反复荷载作用下钢筋混凝土框架异型节点的受力特点和破坏模式,定义了节点的损伤指标并分析了影响节点损伤指标的主要因素。利用前馈神经网络方法建立了该类节点的损伤模型。通过与传统分析方法相对比可知,在拥有了充分可靠的试验数据基础上将神经网络技术引入到伪静力条件下钢筋混凝土构件的损伤分析中可在一定程度上弥补传统计算方法的不足,为异型节点的研究提供了一种切实可行的途径。     

基于神经网络的钢筋混凝土异型节点抗裂能力预测

利用神经网络方法研究了低周反复荷载作用下钢筋混凝土异型节点抗裂承载力与各主要影响因素之间复杂的非线性关系,建立了承载力的BP神经网络预测模型,预测结果与试验结果吻合较好。分析结果表明神经网络计算是钢筋混凝土构件力学性能研究中的一种很有潜力的新方法。     

钢筋混凝土框架异型节点抗裂计算

基于8个钢筋混凝土框架异型节点的试验,分析了异型节点的初裂与常规节点的不同之处。在分析钢筋混凝土框架异型节点受力的基础上,得出了异型节点的初裂承载能力取决于异型节点“小核芯”的结论,并以“小核芯”为基本计算单元,提出了钢筋混凝土框架异型节点的抗裂承载能力计算公式。     

钢筋混凝土框架节点的抗震分析

钢筋混凝土框架节点的受力是复杂的,在地震情况下,它已成为框架最易受损的部分。本文结合工程实践,根据建筑抗震设计规范(GBJ11-89)、混凝土结构设计规范(GBJ10-89)的规定,就节点区受弯、受压、受剪的不同状态进行分析和探讨,希望提高框架节点的延性,增强框架整体的抗震性能,以满足工程抗震设防的需要。     

钢筋混凝土异型柱框架抗震设计若干问题的研究

钢筋混凝土异型柱框架是新型住宅结构，本文以粉煤灰砌块填充墙异型柱框架试验研究［１］，［２］，［３］及异型柱试验研究［４］，［５］，［６］为基础，分析了结构动力计算模型问题，控制薄弱层问题和异型柱工作性能问题，提出了若干供抗震设计参考的建议。     

锈蚀钢筋混凝土框架柱滞回性能的数值模拟研究

以某钢筋混凝土框架柱为例,采用非线性有限元分析软件ABAQUS研究了框架柱在4种不同锈蚀程度(未锈蚀、轻微锈蚀、中等锈蚀和严重锈蚀)下的滞回性能,并与文献中描述的试验结果和框架柱的实际震害进行了对比。研究表明:钢筋锈蚀将导致框架柱的滞回承载力大幅度降低,而且随着锈蚀率的增大,这种承载力降低效应逐渐增强,其中锈蚀引起的钢筋与混凝土之间的粘结性能退化在这种滞回承载力削弱过程中起着重要的作用。就滞回曲线的特点来看,随着钢筋锈蚀程度的增大,框架柱滞回环的饱满程度降低、内缩增加,滞回曲线由弓形逐渐变成反S形,滞回环的包络面积变小,说明框架柱抗震耗能能力降低。     

钢筋混凝土核心简的剪切滞变模型

通过对比评价现有可用于剪力墙的剪切滞变模型,并结合现有国内外钢筋混凝土核心筒体试验结果,选取了带捏缩的修正Takeda模型作为核心筒的剪切滞变模型,并给出了模型的细部滞变规则。     

抗震结构的滞回耗能谱

本文在分析不同类型地面运动引起抗震结构不同类型破坏的基础上，指出结构滞回耗能总量是累积破坏的重要参数，以1735条实际地震记录作为输入计算了不同动力参数单自由度体系弹性及弹塑性总输入能量及滞回耗能量，得出计算弹塑性体系滞回耗能谱的简化公式。     

圆钢管混凝土压弯构件荷载-位移滞回模型研究

本文采用数值计算方法，对圆钢管混凝土压弯构件荷载-位移滞回关系曲线进行了理论分析。理论计算结果与实验结果吻合良好。基于理论模型，分析了各参数，如构件轴压比、长细比、截面含钢率和材料强度等对圆钢管混凝土压弯构件荷载-位移滞回曲线的影响。最终提出-种圆钢管混凝土压弯构件荷载-位移滞回模型及位移延性系数的简化计算方法。     

K型加强节点承载力及滞回性能分析

K型相贯节点区域容易出现主管管壁的局部屈曲与撕裂,可以采用主管与内套管之间夹层灌混凝土的方法进行加强。采用有限元软件ANSYS,对加强前后节点的静力极限承载力和滞回性能进行分析。结果表明:在主管与内套管之间夹层灌混凝土可有效改善节点的破坏模式,减小节点附近的应力集中问题,同时增强节点的刚度与承载力;无加强节点滞回曲线较为丰满,承载力下降相对平缓,但和加强节点比较,承载力相差明显;减小内套管的尺寸在一定程度上可以提高节点的极限承载力。     

Artificial neural networks for sheet sediment transport

Abstract

Sheet sediment transport was modelled by artificial neural networks (ANNs). A three-layer feed-forward artificial neural network structure was constructed and a back-propagation algorithm was used for the training of ANNs. Event-based, runoff-driven experimental sediment data were used for the training and testing of the ANNs. In training, data on slope and rainfall intensity were fed into the network as inputs and data on sediment discharge were used as target outputs. The performance of the ANNs was tested against that of the most commonly used physically-based models, whose transport capacity was based on one of the dominant variables—flow velocity (V), shear stress (SS), stream power (SP), and unit stream power (USP). The comparison results revealed that the ANNs performed as well as the physically-based models for simulating nonsteady-state sediment loads from different slopes. The performances of the ANNs and the physically-based models were also quantitatively investigated to estimate mean sediment discharges from experimental runs. The investigation results indicated that better estimations were obtained for V over mild and steep slopes, under low rainfall intensity; for USP over mild and steep slopes, under high rainfall intensity; for SP and SS over very steep slopes, under high rainfall intensity; and for ANNs over steep and very steep slopes, under very high rainfall intensities.     

恢复力模型研究现状及存在问题

恢复力模型是根据大量从试验中获得的恢复力与变形的关系曲线经适当抽象和简化而得到的实用数学模型，是结构构件的抗震性能在结构弹塑性地震反应分析中的具体体现。对迄今为止国内外关于钢筋、混凝土和钢筋混凝土结构构件的恢复力模型的研究成果进行了汇总和简要评述，分析了现有恢复力模型存在的主要问题，在此基础上提出恢复力模型今后的研究建议。     

施工缝对框架结构抗震性能影响的数值分析

为研究施工缝对框架结构抗震性能的影响,利用提出的施工缝模型,基于OPENSEES平台建模进行静力非线性分析和非线性动力时程分析。通过对比整浇框架与带缝框架的顶点最大位移、层间位移角、塑性铰出现和分布规律等明确施工缝对框架结构的抗震性能的影响程度。结果表明,施工缝使框架结构的变形和层间位移角显著增大,并且使8、9度区框架结构的层间位移角分布发生改变;施工缝使柱端更易出现塑性铰,更易发生"强梁弱柱"的破坏模式;在高烈度区,施工缝的影响比较显著,如果忽略其影响,将会高估框架结构的抗震性能。     

Calibration of a hysteretic model for glass fiber reinforced gypsum wall panels

Glass fi ber reinforced gypsum(GFRG) wall panels are prefabricated panels with hollow cores, originally developed in Australia and subsequently adopted by India and China for use in buildings. This paper discusses identifi cation and calibration of a suitable hysteretic model for GFRG wall panels fi lled with reinforced concrete. As considerable pinching was observed in the experimental results, a suitable hysteretic model with pinched hysteretic rule is used to conduct a series of quasi-static as inelastic hysteretic response analyses of GFRG panels with two different widths. The calibration of the pinching model parameters was carried out to approximately match the simulated and experimental responses up to 80% of the peak load in the post peak region. Interestingly, the same values of various parameters(energy dissipation and pinching related parameters) were obtained for all fi ve test specimens.     

基于简化拉压杆模型的钢筋混凝土框架异型节点抗剪性能研究

在以往试验研究的基础上,建立了框架异型节点等效核心区在剪、压复合作用下的计算模型,应用简化拉压杆模型方法对等效核心区进行了受力分析.研究表明:基于简化拉压杆模型方法计算得到异型节点的抗剪承载力与现行规范建议方法计算结果相当,但简化拉压杆模型方法有明确的力学计算模型,基于该模型计算得到的抗剪承载力与试验结果吻合较好.在此...     

Experimental investigation of damage behavior of RC frame members including non-seismically designed columns

Reinforced concrete (RC) frame structures are one of the mostly common used structural systems, and their seismic performance is largely determined by the performance of columns and beams. This paper describes horizontal cyclic loading tests often column and three beam specimens, some of which were designed according to the current seismic design code and others were designed according to the early non-seismic Chinese design code, aiming at reporting the behavior of the damaged or collapsed RC frame strctures observed during the Wenchuan earthquake. The effects of axial load ratio,shear span ratio, and transverse and longitudinal reinforcement ratio on hysteresis behavior, ductility and damage progress were incorporated in the experimental study. Test results indicate that the non-seismically designed columns show premature shear failure, and yield larger maximum residual crack widths and more concrete spalling than the seismically designed columns. In addition, longitudinal steel reinforcement rebars were severely buckled. The axial load ratio and shear span ratio proved to be the most important factors affecting the ductility, crack opening width and closing ability, while the longitudinal reinforcement ratio had only a minor effect on column ductility, but exhibited more influence on beam ductility. Finally, the transverse reinforcement ratio did not influence the maximum residual crack width and closing ability of the seismically designed columns.     

钢管高强混凝土压弯构件滞回性能的研究

本文根据适用于三向周期受力的钢材本构关系模型,和适用于三向周期受力改进的混凝土本构关系的边界面模型,采用有限元法对钢管高强混凝土压弯构件的荷载－位移滞回曲线进行了理论分析,并进行了6个核心混凝土的强度为77N/mm2的钢管高强混凝土压弯构件滞回性能的试验研究。将理论分析和本试验研究及其他试验研究结果进行了对比,分析了荷载－位移滞回曲线的特点。     

地震诱发的侧向水平位移神经网络预测模型

在对地震液化诱发的侧向水平位移预测模型评述的基础上，分析了地震、地形、土质等实测数据与侧向水平水移之间的相互关系，并提出了侧向位平位移神经网络预测模型。模型较好地反映了参数之间复杂的非线性关系，网络预测结果与实测数据较为吻合，两者之间相关系数为0．9左右。模型数据分析结果表明侧向位移随着距自由临空面距离（L）的增加而呈双曲线关系下降，随液化层厚度的增加而增加。不同L条件一临空面高度与侧向位移之间有一灵敏变化区，即当H约等于4－7m之间时，侧向位移急剧变化。