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混凝土抗裂能力评价模型的解析 总被引:1,自引:0,他引:1
综述了目前国内外混凝土抗裂能力评价计算模型,通过综合各方面影响因素,首次建立了混凝土抗裂能力分析模型,并考虑混凝土的经时变化,创建混凝土及其结构抗裂能力评价模型,用抗裂因子Kac作为评价混凝土抗裂能力的数学参数。选择具有代表性的混凝土配合比,分别计算了粉煤灰、矿渣、硅灰、膨胀剂、减缩剂、聚丙烯纤维组分的抗裂因子,通过数学计算得出的抗裂因子的大小顺序表明:粉煤灰、矿渣能够提高混凝土的抗裂因子,而硅灰则降低了混凝土的抗裂因子。掺加纤维、减缩剂、以及减缩剂和膨胀剂复合使用能够提高混凝土的抗裂性能,特别是减缩剂和膨胀剂复合使用能够大幅度提高抗裂因子,与大小圆环、平板法等各种约束开裂试验结果具有很好的一致性。而使用膨胀剂在早期养护不充分的前提下,有降低抗裂因子的趋势。 相似文献
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接触网参数测量系统可以实现接触网日常施工计算机管理,该系统利用计算机图像处理技术和lisp语言,将现场的实际状况与接触网专业技术有机地结合起来,改变了现有的测量方法,提高了现场作业效率. 相似文献
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通过介绍带有温度控制的马歇尔稳定度试验仪,重点讨论温度对马歇尔稳定度测量值的影响以及该试验仪的硬件结构和软件设计,有助于分析该试验仪的先进性、可靠性及其智能化特点。 相似文献
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Travel to and from school can have social, economic, and environmental implications for students and their parents. Therefore, understanding school travel mode choice behavior is essential to find policy-oriented approaches to optimizing school travel mode share. Recent research suggests that psychological factors of parents play a significant role in school travel mode choice behavior and the Multiple Indicators and Multiple Causes (MIMIC) model has been used to test the effect of psychological constructs on mode choice behavior. However, little research has used a systematic framework of behavioral theory to organize these psychological factors and investigate their internal relationships. This paper proposes an extended theory of planned behavior (ETPB) to delve into the psychological factors caused by the effects of adults’ cognition and behavioral habits and explores the factors’ relationship paradigm. A theoretical framework of travel mode choice behavior for students in China is constructed. We established the MIMIC model that accommodates latent variables from ETPB. We found that not all the psychological latent variables have significant effects on school travel mode choice behavior, but habit can play an essential role. The results provide theoretical support for demand policies for school travel. 相似文献
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Zhuo Chen 《Maritime Policy and Management》2017,44(5):537-550
This study identified a set of applicable and practical green performance evaluation indices for Chinese ports using the Delphi technique. The research was conducted by targeting three representative Chinese ports in Eastern China: the Shanghai Port, Ningbo Port, and Qingdao Port. An effective expert panel was structured with direct stakeholders related to green performance, which was based on a sufficient consideration of the unique and the special decision-making system for Chinese ports. Twenty-one green performance indices in six dimensions (i.e. liquid pollution management, air pollution management, noise control, low carbon regulations and energy savings, marine biology preservation, and organization and management) were eventually identified through three rounds of iterations. The identified green performance indices for Chinese ports are highly consistent with the Chinese Government’s environmental policies. Compared with European ports, the green port performance indicators in China are not as comprehensive. The indicators that are strictly consistent with national macro policies and the factors that are more easily seen, heard, and felt were perceived to be more important. From an academic perspective, this study offers a new approach for system establishment and green practice criteria exploration and thus provides a significant basis for further green port studies. 相似文献