沿海高速公路风险评价体系构建

沿海高速公路建设面临地质条件复杂,气象灾害多样、工程类型多等困难,针对其风险评估工作多而繁杂的实际情况,以浙江沿海疏港高速公路为工程背景,选择道路工程、桥梁工程和隧道工程为研究对象,在其中筛选提炼出软土路基区、人工海岸区、跨海湾特大桥、水底隧道等作为评价对象,分析了在沿线地质条件及气象条件下,不同评价对象在施工期和运营期可能面临的各种风险因素,选择其中的主要风险因素,构成多级评估对象,搭建了沿海高速公路风险评价的体系,并且说明了所采用的评估方法和评估流程,并介绍了所采用的风险概率和风险后果等级标准。构建沿海高速公路风险评价体系能为我国的类似工程提供了借鉴。     

煤与瓦斯突出的物理模拟和数值模拟研究

利用自行设计的实验装置,通过现场采集具有突出倾向的煤样,分别向实验装置煤样中充入吸附能力较大的CO2和吸附能力较小的N2来模拟不同级别的煤与瓦斯突出现象,物理试验结果表明:瓦斯压力越大,突出强度越大;当瓦斯压力相近时,吸附和解吸能力大的瓦斯突出强度大。通过数值模拟对煤与瓦斯突出进行研究,数值模拟再现了煤矿开采过程中诱发的煤与瓦斯突出全过程,同时验证了煤与瓦斯突出是瓦斯压力、地应力及煤岩体的力学性质综合作用的结果,该验证对进一步深入理解认识煤与瓦斯突出的机理具有重要的理论和实践意义。     

基于临水区域化工园区的整体安全研究

针对临水区域化工园区的生产特点及在整体安全方面存在的普遍问题,提出在临水区域化工园区内要进行合理布局,做到功能分区明确;同时需建立园区安全生产管理、监测预警及应急处置系统,主要是由固定危险源和移动危险源动态安全管理子系统、安全生产监测预警系统、突发事故应急处置平台等所组成;坚持安全监控信息化与标准化,对化工园区的整体安全性的提高将发挥巨大的作用,为建设"平安园区"打下坚实的基础。     

事故预测方法研究述评

将事故预测方法归纳为情景分析法、回归预测法、时间预测法、马尔可夫链状预测法、灰色预测法和非线性预测法6大类,并进行分析和比较.结果表明:1)目前的预测方法大多针对各自行业部门,因此采用自身相适应的预测方法和提高预测精度是事故预测的关键;2)剔除随机性和偶然性,提取异常点和异质性是工业事故进行预测建模的依据;3)系统安全是一个动态随机的非线性过程,应将定性与定量、线性与非线性、静态与动态预测方法相结合,进行组合预测才有可能实现最优预测;4)基于状态预测的事故优生理念,是未来事故预测理论的发展趋势.     

重型自卸汽车车架横梁异常断裂原因分析

针对无副车架的重型自卸汽车在使用过程中出现的车架横梁异常断裂问题,建立了以板壳单元为基本单元的自卸汽车车架有限元分析模型,采用NASTRAN有限元分析软件对车架强度进行分析.有限元分析结果表明,车架横梁异常断裂现象是横梁连接部位应力值大于材料的屈服强度引起的,这与实车车架断裂结果吻合.根据实际工艺要求,改造车架结构,将连接第2根横梁和纵梁的L板厚度变大,并将平衡悬架推力杆支座由整体式支撑改为分体式支撑,从而使两处的最大应力值分别比原结构下降20.4%和51.7%.改进后车架断裂区的强度明显提高,这表明改造方法有效.     

中小企业化学品职业危害预防控制指南

为了帮助中小企业控制预防控制化学品职业危害,本文详细介绍了国际劳工组织所推行的中小企业化学品职业危害控制指南,包括化学职业卫生管理的主要内容和基本步骤,关键点危险区的确定方法,改进化学品职业危害管理、实施化学品管理的良好规范、制定化学品管理行动计划和编制全面的化学品清单等方法,以达到系统提高化学品管理水平和持续改进的目标和要求.     

高危职业危害监测内涵及预警系统探讨

我国目前职业病危害形势严峻,职业卫生管理和服务模式不能适应社会发展的需求,优先管理高危职业危害,建立高危职业危害监测预警系统是控制和减少重大职业危害事故的关键.通过职业危害监测、风险评估、风险分级和预警等术语阐述高危职业危害监测的内涵,并探讨建立利用现有技术平台、重点监控、多部门合作、多层次的纵向多维监测预警系统.     

Application of MSWI fly ash on acid soil and its effect on the environment

This study evaluated the feasibility of using municipal solid waste incinerator (MSWI) fly ash as acid soil amendment. In particular, changes in soil physicochemical properties and the potential environmental problems caused by the application of MSWI fly ash were investigated. The results showed that application of MSWI fly ash to the acid soil could raise the soil pH. The contents of rapidly available P and K, and slowly available K in the amended soil had a linear relationship with the addition ratio of MSWI fly ash. An addition of less than 20% of MSWI could raise the soil respiratory intensity after incubation for 3-5 days. Application of MSWI fly ash to the soil increased its content of water soluble salts and heavy metals, which could cause phytotoxicity in the plants. Therefore, the addition of MSWI fly ash to the soil should not be excessive, and less than 5-10% is an advisable addition level depending on the acidity of the soil and the plants growing on it.     

Characterizing effects of uncertainties in MSW composting process through a coupled fuzzy vertex and factorial-analysis approach

A coupled fuzzy vertex and factorial-analysis approach was developed in this study for systematically characterizing effects of uncertainties in a municipal solid waste composting process. A comprehensive composting process model was also embedded into the system framework and used to address substrate decomposition and biomass growth, as well as the interactions between moisture contents, temperatures, and oxygen concentrations. The applicability of the proposed method was verified through a custom-made pilot-scale composting system. Results from fuzzy simulation indicated that the fuzzy vertex method could effectively communicate implicit knowledge into dynamic simulations and thus provide valuable information for enhancing composting process control under uncertainty. The factorial analysis was effective in quantifying the proportion to which the uncertainty of each single or interactive effect of model parameters contributes to the overall uncertainty of the system outcomes. Thus, sensitive parameters that may lead to errors or unreasonable predictions can be determined. The proposed study system could not only be used in characterizing combined effects of uncertainties for composting processes, but was also applicable to many other environmental modelling systems.