SRHSC梁主要设计参数损伤敏感度分析

以型钢高强混凝土(SRHSC)梁为研究对象,结合SRHSC梁受力机理及承载能力的试验研究成果,提出了极限状态下的承载能力是评价梁力学性能的关键指标,将损伤前后梁正截面抗弯承载力之比和斜截面抗剪承载力之比的均值作为自变量,给出了SRHSC梁损伤表征函数,并借助"预定损伤法",揭示了主要设计参数对SRHSC梁损伤演化的影响规律。研究成果将为建立地震激励下SRHSC框架结构楼层损伤模型提供理论和数据支持。     

Classification of dispersibility for combustible dust based on Hausner ratio

Mixing of combustible dust and oxidant is one of five essential prerequisites in the dust explosion pentagon, requiring that particles originally in mutual contact within the deposits be separated and suspended in the air. However, dust dispersion never proceeds with 100% efficiency, with inevitable particle agglomeration, and an inherent trend toward settling out of suspension. Dispersibility is defined to describe the ease of dispersion of a dust and the tendency of the particulate matter to remain airborne once a dust cloud has been formed. Pioneers made contributions to classify dust dispersibility by introducing dustiness group (DG), dustability index (DI), NIOSH dispersion chamber and in-situ particle size analysis. Issues remained including the difficulty in comparing results from different methods, as well as the availability of some high-tech testing apparatus.This study aims to provide a quick and universal testing method to estimate the dispersion property of combustible dust. A new dispersibility classification was developed based on dimensionless numbers Hausner ratio and Archimedes number. Four dispersibility classes (DCs) were proposed from one to four, with a larger number meaning better dispersibility. Results for more than a dozen dust samples and mixtures thereof showed the new method is useful in dust explosion research. The consistency in classifying dust dispersion properties between the DC method and previous methods was good. Changes in DC well explained our earlier findings on suppressant enhanced explosion parameter (SEEP) phenomenon attributed to the improvement in dust dispersibility. Hausner ratio and Archimedes number, as easily measured parameters, can be quite advantageous to assess dust dispersibility, permitting a proper risk assessment for the formation of explosible dust clouds.     

Multiple-pattern parameter identification and uncertainty analysis approach for water quality modeling

This paper presents a multiple-pattern parameter identification and uncertainty analysis approach for robust water quality modeling using a neural network (NN) embedded genetic algorithm (GA). The modeling approach uses an adaptive NN–GA framework to inversely solve the governing equations in a water quality model for multiple parameter patterns, along with an alternating fitness method to maintain solution diversity. The procedure was demonstrated through a coupled 2D hydrodynamic and eutrophication model for Loch Raven Reservoir in Maryland. The inverse problem was formulated as a nonlinear optimization problem minimizing the degree of misfit (DOM) between model results and observed data. A set of NN models was developed to approximate the input-output response relationship of the Loch Raven Reservoir model and was incorporated into a GA framework in an adaptive fashion to search for near-optimal solutions minimizing the DOM. The numerical example showed that the adaptive NN–GA approach is capable of identifying multiple parameter patterns that reproduce the observed data equally well. The resulting parameter patterns were incorporated into the numerical model, and a multiple-pattern robust water quality modeling analysis, along with a compound margin of safety (CMOS) method, was proposed and applied to analyze the parameter pattern uncertainty.     

熵法估参在环境监测数据频率分析中的应用

以最大信息熵原理为理论基础的熵法估参方法，是一种具有严格物理和数学意义的新型参数估计方法，本文针对珠江广州河段主要污染物含量长年监测数据，对比熵法与传统方法矩法对四参数Г分布的估参结果，并以频率绝对离盖和最小为准则进行判定，结果表明，熵法估参结果与矩法总体上相当接近，且大部分样本的熵法估计参数优于矩法，在环境监测数据频率分析中具有实用性和推广价值。     

土壤及土壤矿物对类胡敏酸的吸附解吸及其影响因素研究

应用平衡吸附法,研究了不同pH值、离子强度、类胡敏酸浓度和接触时间条件下,黑土、白浆土及蒙脱石对类胡敏酸(HLA)的吸附作用.结果表明:随着HLA浓度的增加,土壤及蒙脱石对HLA的吸附量增加.黑土、白浆土及蒙脱石对HLA的吸附等温线均为L型,其吸附不可逆性表现为白浆土＞蒙脱石＞黑土.通过Langmiur方程计算,蒙脱石、白浆土对HLA达到吸附平衡时的最大吸附量分别为764.7、790.3 mg·g-1,而黑土为35.27 mg·g-1.Freundlich方程可以很好地描述白浆土、蒙脱石对HLA的吸附和解吸等温线,而Temkin方程可以很好地描述黑土对HLA的吸附和解吸等温线.同时,3种材料的吸附自由能△G°＜0,吸附热Qm ＞0,表明其对HLA的吸附是自发的、放热的过程.随着pH的升高,黑土、白浆土及蒙脱石对HLA的吸附量减少;随离子强度的增加,黑土、白浆土及蒙脱石对HLA的吸附量增大.黑土、白浆土及蒙脱石对HLA的吸附动力学过程划分为快反应和慢反应阶段,其中,蒙脱石、白浆土对HLA的吸附动力学过程用一级动力学方程拟合的效果最好,而对黑土而言,用Elovich方程描述更合适.     

生活垃圾卫生填埋场渗滤液处理系统工程设计

本文从工程的角度出发对垃圾填埋场渗滤液处理系统工程设计中的几个重点、难点计算参数,以及目前国内外几个典型垃圾填埋场的渗滤液处理工艺流程、处理效果做了介绍,并在此基础上提出了几点建议     

铅芯橡胶支座等效线性分析模型参数的研究

针对目前铅芯橡胶支座等效线性分析模型动力参数选取不够合理的现状 ,笔者通过对铅芯橡胶支座水平动态试验分析 ,系统研究了铅芯橡胶支座等效线性分析模型参数与其几何结构及外加动力荷载特性的关系。研究结果表明 :铅芯橡胶支座等效线性分析模型参数 (水平耗能、等效刚度及等效阻尼比 )主要由其本身的几何构造及组成材料决定 ,且在往复加、卸载循环过程中具有较好的稳定性。笔者对试验数据进行数学统计分析 ,归纳出一些经验公式 ,为其等效线性化动力分析模型参数的合理选取提供了计算方法 ,从而提高其动力分析结果的安全性。     

崇明东滩湿地沉积物重金属污染的磁诊断

对取自崇明东滩的高潮滩、中潮滩和低潮滩的沉积物柱样进行了磁学、粒度、重金属含量等指标的分析、比较与综合研究. 结果表明:在以粉砂为主的崇明东滩,通过污染负荷指数法进行评价,除低潮滩无污染外,中潮滩和高潮滩均有中度的重金属污染. 选取中度重金属污染的高潮滩沉积物柱样进行粒度、重金属含量以及磁性参数的相关性分析显示,χ_fd,χ_ARM/SIRM与重金属含量和粘土(粒径<4 μm)之间有较高的相关性,并以此建立了磁诊断线性回归模型;χ_fd和χ_ARM/SIRM可作为重金属含量的替代指标.      

时变参数模型用于滑坡位移量预测的研究

滑坡的位移量发展受地质条件、气候环境以及人类活动等多种因素的影响,变化复杂,通常难以用固定参数的数学模型准确表达。时变参数模型的模型参数随时间变化,能够描述更为复杂的函数关系。将时变参数模型应用于滑坡位移量预测,通过对比发现,时变参数模型有望提高滑坡位移量的预测精度。     

优化、RSA和GLUE方法在非线性环境模型参数识别中的比较

参数识别是数学模型应用的前提,本文对非线性环境模型常用的3种参数识别方法进行了比较分析.优化方法是出现最早、应用最广泛的参数识别方法之一.但在观测误差存在的情况下,采用优化方法识别的最优参数进行模型预测,存在很大的决策风险.考虑到这种不足,RSA方法和GLUE方法摒弃了识别单一最优参数的传统思维,而把识别参数扩大到多点组成的参数集.RSA方法与GLUE方法不同的是,RSA方法把可行的参数点看成是同等接受的,而GLUE方法则根据模拟值与实测值的差别,确定其似然度,代表参数的可信度水平.除参数识别以外,RSA方法和GLUE方法也是全局灵敏度分析的重要工具.