钢桁梁桥基于模型修正方法的损伤程度识别研究

在钢桁梁桥模型损伤定位的基础上,采用模型修正方法对其损伤程度进行识别,对其中几个关键问题进行了研究分析,得出了一些有用的结论,可作为实际桥梁健康监测的参考依据。     

抗差卡尔曼滤波及其在动态水准网平差中的应用

介绍了标准卡尔曼滤波方程,总结了稳健M估计的基本方法,并根据等价权原理导出卡尔曼滤波的抗差估计方程,方程的形式与卡尔曼滤波方程相似,给出了卡尔曼滤波稳健估计的计算步骤.最后,以动态水准监测为例进行了模拟计算,证明了该方法的有效性.     

浅谈如何做好初步设计概算

准确的初步设计概算对设计阶段控制工程造价起着非常重要的作用,笔者分析了初步设计概算当前存在的问题,提出了做好初步设计概算的四项措施。     

Approximation of Gaussian spatial autoregressive models for massive regular square tessellation data

Most of the literature to date proposes approximations to the determinant of a positive definite n × n spatial covariance matrix (the Jacobian term) for Gaussian spatial autoregressive models that fail to support the analysis of massive georeferenced data sets. This paper briefly surveys this literature, recalls and refines much simpler Jacobian approximations, presents selected eigenvalue estimation techniques, summarizes validation results (for estimated eigenvalues, Jacobian approximations, and estimation of a spatial autocorrelation parameter), and illustrates the estimation of the spatial autocorrelation parameter in a spatial autoregressive model specification for cases as large as n = 37,214,101. The principal contribution of this paper is to the implementation of spatial autoregressive model specifications for any size of georeferenced data set. Its specific additions to the literature include (1) new, more efficient estimation algorithms; (2) an approximation of the Jacobian term for remotely sensed data forming incomplete rectangular regions; (3) issues of inference; and (4) timing results.     

岭参数确定的研究

中文阐述了多种岭参数确定方法的原理,如岭迹法、L曲线法、两步解法、GCV法和双h公式法,应用数据编程比较了各种岭参数计算方法所得的结果及对最小二乘估计的改进效果.结果表明,L-曲线法易于确定岭参数,是一种确定岭参数的良好方法.此外,两步解作为另一种解算病态问题的方法,不仅要明显优于LS估计,并且改善了L-曲线法的计算结...     

重庆市巫山县环湖路建设对淀粉厂滑坡影响的研究

重庆市巫山县环湖路地质条件十分复杂,沿线经过十几个地质灾害单元体。环湖路经过淀粉厂滑坡区时,以半挖半填的方式经过。环湖路建设对原滑坡体的稳定性影响进行重新评价计算,认为原设计方案不能满足要求,对原方案进行修改设计,完成淀粉厂滑坡的施工治理的环湖路的建设,实现了淀粉厂滑坡和环湖路工程建设的安全稳定。     

Fuzzy process capability indices for quality control of irrigation water

Water covers over 70% of the Earth surface and is a very important resource to people and the environment. Water pollution affects drinking water, rivers, lakes and oceans all over the world. This consequently harms human health and the natural environment. Water pollution can also affect the crops. So, water pollution is an important issue for humanity. Therefore, the control of irrigation water is a necessity. In this paper, a methodology based on process capability indices (PCIs) has been presented to control the levels of pH, dissolved oxygen (DO) and temperature (T) in dam’s water for irrigation. Fuzzy PCIs have been proposed for this aim. The fuzzy estimates of $ \hat C_p Water covers over 70% of the Earth surface and is a very important resource to people and the environment. Water pollution affects drinking water, rivers, lakes and oceans all over the world. This consequently harms human health and the natural environment. Water pollution can also affect the crops. So, water pollution is an important issue for humanity. Therefore, the control of irrigation water is a necessity. In this paper, a methodology based on process capability indices (PCIs) has been presented to control the levels of pH, dissolved oxygen (DO) and temperature (T) in dam’s water for irrigation. Fuzzy PCIs have been proposed for this aim. The fuzzy estimates of and are obtained for pH, DO, and T based on Buckley’s interval estimation approach and based on fuzzy specification limits. An application has been made for Kesikk?prü Dam in Ankara, Turkey. In this paper, Buckley’s approach is re-arranged to obtain a triangular fuzzy membership function because it cannot be obtained from Buckley’s approach in some situation.     

An integrated model for predicting rainfall-induced landslides

This study proposes a novel method that combines a deterministic slope stability model and a statistical model for predicting rainfall-induced landslides. The method first uses the deterministic model to derive the rainfall rate critical to induce slope failure for each land unit. Then it calculates the difference between the critical rainfall threshold and estimated rainfall intensity. Using the difference and estimated rainfall duration as explanatory variables, the method derives a logit (integrated) model to compute landslide occurrence probabilities. To demonstrate the effectiveness of this method, the study used radar rainfall estimates and landslides associated with a typhoon (tropical cyclone) to develop the integrated model and the same types of data associated with another typhoon to validate the model. The model had a modified success rate of 84.0% for predicting landslides and stable areas, and model validation yielded a modified success rate of 87.4%. Both rates were better than those from the critical rainfall model. The main advantage of the integrated model lies in its use of rainfall variables that are not included in calculating the critical rainfall. Also, as a probabilistic model, the integrated model is better suited for decision-making in watershed management. This study has advanced the method for predicting rainfall-triggered landslides.     

粗差验后方差的无偏估计与最优稳健估计

在正态粗差假设下导出了粗差验后方差的无偏估计,对误差工膨胀模型和误差均值移动模型,两者的无偏估计公式是相同的。这证明了李德仁验后方差的朱建军方差不是无偏的。由于偏方定义的彭方法是正态粗差假设下的最优稳健估计。     

贵州典型喀斯特县域生态环境脆弱度等级划分

以贵州省46个典型喀斯特县域作为研究对象,共选取5大类19项指标,通过层次分析法计算出各指标的相对权重,采用模糊综合评判方法对各县生态环境脆弱度进行计算和定量评价,并根据最大隶属原则把46个典型喀斯特县份分别划分于极度脆弱、强度脆弱、中度脆弱和轻度脆弱四种不同脆弱等级。计算结果表明,贵州喀斯特地区生态环境脆弱形势十分严重,在46个典型的喀斯特县份中,有31个县属于强度脆弱或极强脆弱,11个县属于中等脆弱,属于轻度脆弱的只有4个县。