基于悬臂梁力学模型分析高边坡危岩体的稳定性——以四川省三清村高边坡W1危岩体为例

四川省苍溪县三清村高边坡的稳定性对当地居民的人身安全构成了威胁,需要对高边坡进行稳定性分析和评价。本文针对三清村高边坡自来水厂段W1危岩体,采用悬臂梁力学模型对其稳定性进行了定量计算及分析,结果表明:将计算所得的W1危岩体截面的最大剪切应力与截面允许的最大剪切应力进行对比,可以判断W1危岩体在自然条件下处于稳定状态,在暴雨和地震条件下处于不稳定状态,该结果与野外的宏观判断结论基本一致。     

四川红层浅层风化带裂隙水水化学特征的聚类分析

四川红层盆地浅层风化带裂隙水是区内分布最为广泛和目前开采最多的浅层地下水类型,本文通过对大量控制性水样分析结果进行聚类分析,探讨了该地区浅层风化带裂隙水的水化学成分特征及其分布规律,结果表明区内91%以上的浅层风化带裂隙水为HCO3-型淡水,主要分布在中部方山丘陵小区、南部台状低山丘陵小区和东部侵蚀构造平行岭谷低山丘陵小区。该研究可为开发利用浅层地下水提供地学依据。     

降雨条件下某堆积体饱和-非饱和渗流及稳定性分析

降雨是诱发滑坡的主要因素之一。本文以西南地区某堆积体为例,基于非饱和土力学理论,考虑降雨入渗的影响,利用有限元方法,对持续强降雨条件下该堆积体的饱和-非饱和渗流场动态变化、变形破坏机理及稳定性进行了数值模拟和计算,结果表明:降雨入渗使坡体非饱和区土体的基质吸力减小,是导致堆积体稳定性降低的主要因素;随着降雨的持续,堆积体塑性区的范围及贯通距离增加,稳定系数逐渐降低,使整体失稳滑移的危险增大。     

主成分分析法在煤矿事故统计分析中的应用

为了研究我国煤矿各类事故之间的相互关系,运用主成分分析法对我国煤矿事故数据进行了统计分析,计算得到煤矿事故类型的第一主成分和第二主成分,并进一步分析了煤矿事故的主要类型以及各类事故之间的相互联系,对制定相应的煤矿事故预防措施具有一定的指导作用。     

基于强度折减法的港珠澳大桥沉管隧道干坞工程高边坡稳定性分析

在列举和分析比较当前岩土工程领域边坡稳定性分析的各种主要方法的基础上,概述了强度折减法的基本原理、主要特点和优势,并以港珠澳大桥沉管隧道干坞大型临时工程拟建场地的岩质高边坡为实例,应用强度折减法基于FLAC3D软件对该边坡的稳定性进行了计算和分析,确定了边界条件和强度参数,计算了该边坡的安全系数,结果表明自然工况下边坡处于稳定状态,底部开挖以后边坡趋于欠稳定状态,同时指出了边坡的关键变形部位,可为后续的设计和施工提供参考。     

深水河大桥桥墩边坡稳定性分析

深水河大桥桥墩边坡地处广乐高速深水河大桥段,其稳定性直接关系着桥墩桩基工程能否顺利施工和整段广乐高速的工程进度。本文采用定性分析和定量计算的方法对深水河大桥桥墩边坡稳定性进行了分析,定性分析主要是通过赤平投影法作图初步分析边坡局部可能出现的组合滑面破坏模式,再取典型的楔形体进行破坏模式分析,定量计算主要是采用Bishop法分别计算该边坡在不同工况下的稳定系数,从而对该边坡的整体稳定性进行评价,以便提出相应的治理措施。     

基于ANFIS模型的基坑工程位移反分析

在软土地基深基坑开挖支护工程的设计与施工中,岩土体力学参数的取值问题是关键。基于MATLAB(R2007a)模糊工具箱中的自适应神经模糊推理系统(ANFIS)对基坑岩土体力学参数进行了位移反演分析,并结合汉口火车站出站厅基坑工程实例,动态反演了具体参数,检验了反演精度,从而验证了该方法用于基坑工程位移反分析的可行性及工程适用性。     

京杭大运河苏州高新区段水质污染状况研究

以2005—2010年京杭大运河苏州高新区段水质监测数据为基础,运用内梅罗综合污染指数法以及采取方差分析对京杭大运河苏州高新区段水质的主要污染因子及其变化趋势进行了研究,并对京杭大运河水质污染状况进行了综合评价。结果表明:京杭大运河苏州高新区段主要污染物为氨氮、总磷;氨氮浓度在2006—2010年间虽有明显下降,但仍超过《地表水环境质量标准》(GB3838—2002)IV类水质要求,为劣V类水,总磷亦有明显下降,但在2008—2010年3年间其浓度略有波动,在IV类和V类水质之间浮动;2005—2008年间其水质处于污染状态,2009—2010年水质较好,为轻污染。该研究结果可为苏州高新区河流水环境治理提供科学依据。     

桔柑隧道进口段塌方原因分析与处理措施

通过对桔柑隧道进口浅埋段塌方前掌子面的状态与前期施工工序的追溯,详细分析了隧道塌方前出现的各种征兆,并对其塌方机理进行了分析与计算,提出了较为有效的解决初喷混凝土在涌水量较大的情况下与岩壁的结合问题,以及如何选择隧道开挖方式、对大断面铁路隧道穿越浅埋段的处理方案,并最终成功穿越该段,为类似工程提供了借鉴。     

The predictive validity of safety climate

PROBLEM: Safety professionals have increasingly turned their attention to social science for insight into the causation of industrial accidents. One social construct, safety climate, has been examined by several researchers [Cooper, M. D., & Phillips, R. A. (2004). Exploratory analysis of the safety climate and safety behavior relationship. Journal of Safety Research, 35(5), 497-512; Gillen, M., Baltz, D., Gassel, M., Kirsch, L., & Vacarro, D. (2002). Perceived safety climate, job Demands, and coworker support among union and nonunion injured construction workers. Journal of Safety Research, 33(1), 33-51; Neal, A., & Griffin, M. A. (2002). Safety climate and safety behaviour. Australian Journal of Management, 27, 66-76; Zohar, D. (2000). A group-level model of safety climate: Testing the effect of group climate on microaccidents in manufacturing jobs. Journal of Applied Psychology, 85(4), 587-596; Zohar, D., & Luria, G. (2005). A multilevel model of safety climate: Cross-level relationships between organization and group-level climates. Journal of Applied Psychology, 90(4), 616-628] who have documented its importance as a factor explaining the variation of safety-related outcomes (e.g., behavior, accidents). Researchers have developed instruments for measuring safety climate and have established some degree of psychometric reliability and validity. The problem, however, is that predictive validity has not been firmly established, which reduces the credibility of safety climate as a meaningful social construct. The research described in this article addresses this problem and provides additional support for safety climate as a viable construct and as a predictive indicator of safety-related outcomes. METHODS: This study used 292 employees at three locations of a heavy manufacturing organization to complete the 16 item Zohar Safety Climate Questionnaire (ZSCQ) [Zohar, D., & Luria, G. (2005). A multilevel model of safety climate: Cross-level relationships between organization and group-level climates. Journal of Applied Psychology, 90(4), 616-628]. In addition, safety behavior and accident experience data were collected for 5 months following the survey and were statistically analyzed (structural equation modeling, confirmatory factor analysis, exploratory factor analysis, etc.) to identify correlations, associations, internal consistency, and factorial structures. RESULTS: Results revealed that the ZSCQ: (a) was psychometrically reliable and valid, (b) served as an effective predictor of safety-related outcomes (behavior and accident experience), and (c) could be trimmed to an 11 item survey with little loss of explanatory power. IMPACT ON INDUSTRY: Practitioners and researchers can use the ZSCQ with reasonable certainty of the questionnaire's reliability and validity. This provides a solid foundation for the development of meaningful organizational interventions and/or continued research into social factors affecting industrial accident experience.