建立混凝土强度回弹测强曲线的逆回归三参数方法

基于对回弹法检测混凝土强度被检测量,结合逆回归理论提出了一种逆回归三参数回弹法测强曲线模型(经验公式),将随机性较大的混凝土回弹值作为因变量,随机性较小的抗压强度值作为自变量,并且增加了一个位置参数,更加符合工程的实际情况。试验数据表明,本文提出的经验公式比传统的直线式和幂函数式经验公式的线性相关系数更高,且平均相对误差和相对标准差都低。适用于建筑结构混凝土强度健康诊治的检测中,还可以应用到诸如压力容器、汽轮发动机无损检测等其他领域中。     

波列振幅P em>-Sem>曲线测桩法

叙述一种新的大应变检测单桩竖向承载力的方法. 用重锤或小型火箭筒冲击桩顶，用检波器记录振波图. 引入应变（变形力）的高次项，从理论上证明当为大位移大应变， 即桩相对于土体产生整体滑动时，位移、速度和加速度则不能经过简单积分加速度和微分速度得到，即它们为非线性关系. 由此导出:通过波列振幅计算力（P）和位移（S）,并作（动态）P-S曲线、确定屈服点，进而阐述确定单桩竖向承载力的方法，并利用静载荷试验检验动测结果和确定动静P（Q）S曲线的相关常数.      

多种表征强震动记录特性的参数对比分析

为研究强震动记录的破坏特性,对多条国内外常用的强震动记录的特性参数进行了对比分析.结果表明,强震动记录特性参数之间的相关件很小;PGA(PGV)和EPA(EPV)大小关系受震级和震中距影响较大;VSI较ASI能够更准确的评价强震动记录的破坏特性;与其它参数相比,强震动记录破坏强度参数(PD)同时考虑了地震加速度、时间和...     

1605年琼山大地震强余震震级参数的研究

根据文献[1～18]提供的史料,研究了1605年琼山大地震的前震及强余震的时间、震感范围、烈度和震级等参数问题。最后讨论了琼山大地震的强余震震级参数估算中存在的误差问题。     

随机有限断层法模拟中强地震近场强震动的参数影响研究

介绍了模拟地震动时程的随机有限断层法及近年来对该方法的改进,改进后的随机有限断层法适合模拟中强地震;比较了不同场地方位角的中强地震近场地震动时程与平均伪加速度反应谱(PSA);定量分析了中强地震近场地震动模拟结果的参数敏感性. 结果表明：不同场地方位角的中强地震近场PSA在短周期部分差别较大;应力降是模型中最重要的参数,其对反应谱短周期部分影响最大;几何扩散系数对PSA的整体影响也较为明显. 将随机有限断层法应用到工程安全性评价工作中时,应当重点关注对反应谱短周期部分影响较大的应力降和该区域的几何扩散系数,同时要调查该区域优势场地方位角的分布,更加合理地控制中强地震近场强震动的模拟.     

震源参数对强地面震动模拟结果的影响

基于运动学震源模型,进行了不同震源参数情形下强地面震动数值模拟.结果表明,不同的破裂过程会产生差别甚大的强地面运动分布,一次确定性震源参数的模拟结果不能作为活动断层地震危害性评价的指标,只有通过大量三维地震动场模拟计算,给出地面震动评估的统计结果,才是比较合理的发展方向.由于一次三维地震动场计算耗时很大,因此解决问题的关键是如何考虑合理的震源参数.     

曲线箱梁桥的动力特性参数分析

结合某城市一座立交工程匝道高架曲线箱梁桥的工程实例,采用大型有限元分析程序ANSYS,选取空间梁单元建立动力计算模型,研究了在跨度相同的条件下,曲率半径与角度比值对曲线梁桥动力特性和地震反应的影响.分析结果表明:曲率半径与角度比值是影响动力特性的一个重要参数.且对曲线梁桥的切向刚度、径向刚度和地震反应有较大的影响.     

基于混合遗传算法的斜测电离图参数反演

斜向探测是获取电离层状态信息的重要手段之一,对斜测电离图的反演可以得到电离层的相关结构参数.遗传算法是一种有效的并得到普遍应用的反演方法,该算法的求解不依赖于初值的选择,可以有效地减少反演问题解的非唯一性,但也存在“过早收敛”和局部搜索能力差等缺陷,从而导致反演精度下降,影响反演结果的可靠性.本文提出将基于模拟退火的混合遗传算法应用到斜测电离图的参数反演中,该算法不仅把握总体能力强,且具有较强的局部搜索能力,是遗传算法和模拟退火算法的优势互补.为了验证该算法反演结果的可靠性和稳定性,首先分别采用遗传算法、模拟退火算法和混合遗传算法对合成的电离图进行反演,反演参数包括临界频率,最大电子浓度和半厚度.通过对三种算法反演结果的对比,得出混合遗传算法的反演结果最接近真实值,需要的迭代次数也远远小于其他两种算法;通过改变种群大小和总迭代次数来判断参数值的改变对三种算法反演结果的影响,得出混合遗传算法有效地降低了参数的选取对反演结果的影响.然后用这三种反演算法对实测电离图进行反演,并将它们的反演结果与斜测链路中点的实际垂测数据进行比较,结果显示混合遗传算法84.62%的反演结果可以控制在误差范围之内,高于遗传算法（76.93%）和模拟退火算法（65.38%）.这些都表明了混合遗传算法的反演结果具有较强的可靠性,在反演的寻优能力和稳定性上要明显优于遗传算法和模拟退火算法,对实测电离层图的反演具有很强的借鉴意义和应用价值.     

中强地震近场强震动的随机有限断层模型参数影响研究

随机有限断层法是模拟地震动加速度时程的一个重要工具。该方法能反映震源、传播路径和场地特性,并且计算快速、高效,高频部分表现良好,因而目前广泛应用于强震地震动的模拟。     

水成相沉积物细颗粒石英光释光综合生长曲线的建立与应用

选择中国不同地区的冲洪积相等水成相沉积物样品,根据其简单多片再生法(SMAR)测量数据建立了细颗粒石英光释光信号的综合生长曲线(Standardised growth curves,SGC)。对未知年龄的水成相沉积物细颗粒石英样品,通过测量其天然光释光信号和试验剂量响应信号,并利用上述SGC方程可计算出其等效剂量值。将此值与简单多片再生法(SMAR)测量结果相比较,统计得出对于天然等效剂量为12~65Gy的样品,其误差可达19%;对于天然剂量>65Gy的样品,其误差更大;对于等效剂量<12Gy的样品,最大误差也达25%。实验表明,应用这个SGC估计未知年龄样品的等效剂量值范围,再对样品采用简单多片再生法(或单片再生法)进一步测量,可大大节省测量时间     

评定混凝土强度的置信区间方法

提出一种新的模糊回归数据融合方法的超声回弹测强曲线,此测强曲线可以减小偶然误差,提高检测的精度。同时,运用置信检验理论提出了在给定置信度下经过修正后的建筑结构强度的置信区间,并给出了混凝土强度的三个评定标准。此方法比较符合工程实际情况,且对混凝土强度做出了定量的判定。     

Verification of critical cyclic strength curve by Taiwan Chi-Chi earthquake data

In this paper, known simplified methods for the assessment of soil liquefaction are summarized. Their discrepancies are examined. Using the Chi-Chi earthquake data as well as other reported data, a set of three critical cyclic strength curves were obtained by finding the minimum of misclassified points. The functional forms of these three curves are an exponential function, a hyperbola, and a cubic polynomial. A lower bound critical cyclic strength curve is then established. This curve may have important applications in practice for liquefaction-related designs. Through this case study, it was found that a minimum cyclic strength CSR_lim may exist at a very low value of (N₁)₆₀. An upper limit (N₁)₆₀^upp also exists beyond which liquefaction may not occur. Furthermore, current simplified methods seem suitable only for a limited range of N values and fines content, and may fail for general applications. The lower bound curve proposed in this paper may provide an alternative approach for improvement. Since the explicit functional form and the statistical indices are available, the statistically regressed curves seem to have a benefit in that it may be used directly to conduct hazard analysis, and evaluate the uncertainty within the critical cyclic strength curves.     

Temporally weighted average curve number method for daily runoff simulation

The modified Soil Conservation Service curve number (CN) method is widely used in long‐term continuous models to predict daily surface runoff. However, it has been shown that this method gives poor results in reproducing peak flows in high rainfall periods. This is because there is an inaccuracy stemming from the model algorithm as it adjusts the daily runoff curve number as a function of soil moisture content at the end of the previous day. This paper proposes an alternative daily based curve number technique that can provide better prediction of daily runoff during the high flow season. The proposed method uses the temporally weighted average curve number (TWA‐CN) to estimate daily surface runoff, while considering the effect of rainfall during a given day as well as the antecedent soil moisture condition. To test the applicability of the TWA‐CN method, it was incorporated with the long‐term, continuous simulation watershed models SWAT and SWAT‐G. Simulations were conducted for the Miho River watershed located in the middle of South Korea. The graphical displays and statistics of the determination coefficient (R²) and the Nash–Sutcliffe model efficiency (NSE) of the observed and simulated daily runoff indicated that the modified SWAT with the TWA‐CN method may provide better runoff prediction (R² = 0·837, NSE = 0·833) than the original SWAT (R² = 0·815, NSE = 0·824). Likewise, the determination coefficient (R² = 0·816) and the Nash–Sutcliffe efficiency (NSE = 0·834) for the modified SWAT‐G are also higher than the original version (R² = 0·782, NSE = 0·825). It is expected that the improved capability in predicting surface runoff using the suggested CN estimate method will provide a sound contribution to the accurate simulations of water yield. Copyright © 2008 John Wiley & Sons, Ltd.     

Simplified method for generating slope seismic deformation hazard curve

A simplified method for generating slope deformation hazard curve that takes into account the variations of input parameters is presented in this paper. The main assumption in the new approach is that the occurrence of peak slope deformation is Poisson׳s process. The procedure is based on logic tree analysis, commercial software and routines programmed by the authors for generating sets of input files, and forming slope performance curve. The methodology was applied to a real landslide in order to demonstrate the advantages and limitations of the proposed approach. The results of the analysis showed the influence of the certain input factors on sliding displacement as well as the advantages of employing continuum mechanics approach.     

An experimental study of the liquefaction strength of silty sands in terms of the state parameter

An elaborate program of monotonic and cyclic triaxial laboratory tests on mixtures of sand and silt with fines content 0%, 15% and 25% was performed to investigate the effect of density, consolidation stress and non-plastic fines on the liquefaction strength. The monotonic tests illustrated that the critical state lines of all mixtures do not cross each other, and are, approximately, parallel to each other. The results of the cyclic tests illustrated that the relationship between the cyclic strength and the state parameter does not depend on the consolidation stress, the soil density and the silt content. Analysis in terms of the state parameter showed that: (i) as the consolidation stress increases, the cyclic strength decreases and this effect is more pronounced as the specimens become denser, especially as the fines content increases and (ii) the cyclic strength decreases as the fines content increases and this effect is more pronounced as the specimens become denser.     

液化场地桩-土地震相互作用p-y曲线分析方法研究

目前,我国尚缺乏液化场地桩-土-桥梁结构地震相互作用分析的合理数值模型与简化分析方法。鉴于此,直接针对振动台试验,基于非线性文克尔地基梁模型,考虑桩周参振土的质量惯性力、上部结构的惯性力、土体辐射阻尼等效应,建立了液化场地桩-土-桥梁结构地震相互作用的p-y曲线分析模型,并给出相应的简化方法。针对振动台试验进行了0.1g El Centro波输入下的分析,验证了桩-土地震相互作用分析方法的正确性,并且推荐了计算参数的合理选取方法,可用于液化场地桩-土地震相互作用的分析。提出的液化场地桩-土地震相互作用p-y曲线简化分析方法,为实际桥梁桩基抗震设计与分析提供一定参考。     

Extended Kalman filter for material parameter estimation in nonlinear structural finite element models using direct differentiation method

This paper presents a novel nonlinear finite element (FE) model updating framework, in which advanced nonlinear structural FE modeling and analysis techniques are used jointly with the extended Kalman filter (EKF) to estimate time‐invariant parameters associated to the nonlinear material constitutive models used in the FE model of the structural system of interest. The EKF as a parameter estimation tool requires the computation of structural FE response sensitivities (total partial derivatives) with respect to the material parameters to be estimated. Employing the direct differentiation method, which is a well‐established procedure for FE response sensitivity analysis, facilitates the application of the EKF in the parameter estimation problem. To verify the proposed nonlinear FE model updating framework, two proof‐of‐concept examples are presented. For each example, the FE‐simulated response of a realistic prototype structure to a set of earthquake ground motions of varying intensity is polluted with artificial measurement noise and used as structural response measurement to estimate the assumed unknown material parameters using the proposed nonlinear FE model updating framework. The first example consists of a cantilever steel bridge column with three unknown material parameters, while a three‐story three‐bay moment resisting steel frame with six unknown material parameters is used as second example. Both examples demonstrate the excellent performance of the proposed parameter estimation framework even in the presence of high measurement noise. Copyright © 2015 John Wiley & Sons, Ltd.     

钢筋混凝土剪力墙弹塑性分析方法

钢筋混凝土剪力墙弹塑性分析可以采用微观方法和宏观方法,本文对这些方法进行了介绍和比较,尤其是对于剪力墙的宏观有限元模型进行了较详细的论述,指出了各自的优缺点。认为如果对高层剪力墙结构进行分析,应尽可能采用宏观方法,而对于宏观剪力墙模型的选取是至关重要的。在此基础上提出了一些有益的建议。     

Bayesian power-law regression with a location parameter,with applications for construction of discharge rating curves

This paper presents a Bayesian approach for fitting the standard power-law rating curve model to a set of stage-discharge measurements. Methods for eliciting both regional and at-site prior information, and issues concerning the determination of prior forms, are discussed. An efficient MCMC algorithm for the specific problem is derived. The appropriateness of the proposed method is demonstrated by applying the model to both simulated and real-life data. However, some problems came to light in the applications, and these are discussed.