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。     

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。     

基于GH-B强度准则的节理岩质边坡稳定性分析

在岩质边坡工程数值模拟计算分析中,其难题之一就是如何较准确地确定岩体强度参数,而边坡岩体抗剪强度是影响计算分析成果的控制因素,也是支护设计成败的关键所在。采用GH-B强度准则对深水河大桥4号桥墩边坡进行了稳定性分析,同时与采用M-C强度准则的模拟结果进行了对比分析。结果表明:GH-B强度准则采用基于应力水平的塑性流动法则,更好地体现了节理岩体的变形和破坏机理,可有效反映岩体的非线性破坏特征,更加接近于工程实际,适于节理岩体的强度计算及稳定性分析。     

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。     

模糊评判在岩质边坡稳定性评价中的应用

在工程实践中,影响岩质边坡稳定性的因素众多,不同因素的影响程度不相同,具有不确定性,因此选择合适的方法对岩质边坡稳定性进行评价尤为关键。本文采用模糊综合评判方法对岩质边坡进行稳定性评价,首先阐明了如何建立模糊评判体系以及权重和隶属度的确定方法,然后以某岩质边坡为实例,采用模糊评判方法对其稳定性进行了评价,结果表明模糊评判的结果与实际情况较为吻合,说明该方法真实、有效,具有一定的借鉴意义。     

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.     

基于BP神经网络的煤层自燃预测

在全面分析影响煤层自燃因素的基础上,建立了煤层自燃预测的人工神经网络模型.应用该模型对某煤田的多个煤层样本进行了训练和预测,网络经过10次训练后,误差达到设定的最小值,6次预测测试中最大误差仅为0.027 8,最小的为0.000 1.研究表明,该模型精度较高,可用于预测煤层自燃的实际应用.     

Improvement of soil aggregate stability by repeated applications of organic amendments to a cultivated silty loam soil

The objective of this study was to compare the effects of repeated field applications of three urban compost amendments and one farmyard manure amendment over a 9-year period on aggregate stability in a silty loam soil initially characterized by low clay and initial organic matter contents and poor aggregate stability. Three different aggregate stability tests with increasing disruptive intensities (fast wetting > mechanical breakdown > slow wetting tests) and different disaggregation mechanisms, were used. All of the amendments, which were applied at approximately 4 Mg C ha⁻¹ every other year, increased the organic carbon content and improved the stability of the aggregates against the disruptive action of water, as determined by each of the stability tests. However, the year-to-year variations in the aggregate stability that related to factors other than the organic inputs were greater than the cumulative increase in aggregate stability relative to the control. The positive effects of the tested amendments on aggregate stability were linked to their contribution to soil organic C contents (r = 0.54 for the fast wetting test and r = 0.41-0.42 for the mechanical breakdown and slow wetting tests; p < 0.05). The addition of urban composts had a larger positive effect on aggregate stability than farmyard manure at the majority of sampling dates. The addition of biodegradable immature compost, such as municipal solid waste (MSW), improved the aggregate stability through an enhanced resistance to slaking. The addition of mature composts, such as the co-compost of sewage sludge and green wastes (GWS) or biowaste compost (BW), improved the aggregate stability by increasing interparticular cohesion. The MSW compost was the most efficient in improving aggregate stability during the first 6 years of the experiment (average improvements of +22%, +5% and +28% in the fast wetting, mechanical breakdown and slow wetting tests, respectively, compared to the control treatment); this result was likely due to the larger labile organic pool of the MSW compost that was highly effective at stimulating soil microbial activity. After the first 6 years, the two other composts, GWS and BW, became more efficient (average improvements of +25%, +61% and +33% in the fast wetting, mechanical breakdown and slow wetting tests, respectively, compared to the control treatment), which was probably linked to the greater increase in soil organic C contents. Therefore, the application of urban compost to silty soil that is susceptible to water erosion was effective at improving aggregate stability and thus could be used to enhance the resistance of soil to water erosion.     

以高岭土为原料合成高稳定性介孔分子筛

以廉价的高岭土和硅酸钠为硅源,用水热法合成了介孔分子筛。采用X射线粉末衍射、Fourier变换红外光谱、热分析、N2物理吸附、扫描电子显微镜和透射电子显微镜埘样品进行了表征,同时研究了样品的热稳定性和水热稳定性。结果表明：长程有序的介孔分子筛平均孔径约为2．75nm：经900℃焙烧3h或100℃水热处理6d,样品的介孔结构不被破坏,说明样品具有高的热稳定性和水热稳定性。     

含信号控制人行横道的街道峡谷污染物扩散三维数值模拟

耦合微观交通仿真和机动车尾气排放模型,分别对含信号控制人行横道和不含信号控制人行横道的街道峡谷污染物排放进行计算,并以此为排放源,采用k-ε两方程模型与组分输运方程对风向与街道垂直时的污染扩散情况进行了三维数值模拟.结果表明,k-ε两方程模型与组分输运方程可以较好地模拟风向与街道垂直时三维街道峡谷内的污染物扩散情况.峡...