废胶粉改性沥青性能影响因素研究

分析了制备工艺、胶粉粒径以及外加添加剂对胶粉改性沥青常规使用性能和稳定性的影响。结果表明:在一定的范围内,胶粉粒径细,对沥青性能的改善较好;加入相容剂可改变沥青胶体体系的溶剂化层的结构和性质;交联剂的加入,增大了体系的稳定性。     

水煤浆燃烧技术及其发展

分析了水煤浆雾化燃烧的技术状况、应用方向和存在问题，介绍了水煤浆流化—悬浮高效洁净燃烧新技术及其优点，结合实践应用情况，分析了发展水煤浆流化—悬浮燃烧技术的意义和应用前景。     

APPLICATION OF GRAY SYSTEM THEORY IN SBS MODIFIED ASPHALT

A system whose partial information is known and partial information is unknown is called gray system. In this paper, the compatibility relationship between Styrene-Butadiene-Styrene (SBS) modifier and base asphalt composition was studied by correlation analysis method. The analysis results of correlation level show that aromatics and asphaltene of base asphalt affect SBS modified effect mainly as the content of SBS is lower, while the content of aromatics and resin become the main effect factors as SBS content is increased.     

特细砂混凝土的应用及其经济性

通过介绍特细砂混凝土在嘉陵江流域的马回、东西关、桐子壕等水电站建设中的应用情况 ,分析了特细砂混凝土的特性和配合比等特点 ,并闸明了在施工中使用特细砂混凝土的经济效益。     

沥青油毡瓦国内外标准对比分析

从范围、原材料要求、组分要求、物理力学性能等方面对比分析了我国现行油毡瓦标准与欧美标准的区别,提出了我国制订沥青油毡瓦国家标准的的原则。     

峡口水库沥青混凝土面板的施工与试验

以灌溉、防洪为主的峡口水库大坝，为沥青混凝土面板堆石坝，为研究低温抗裂性能，对沥青混凝土面板破损取样，进行了配比和多种力学性能试验，并与原面板设计指标进行了对比。由于面板经受住了－20℃以下的低温考验，其所用沥青指标、破损取样试验结果，特别是冻断低温指标，对确定水工沥青混凝土低温抗裂检验标准有重要参考价值。     

从关联分析法看如何改善沥青抗老化性能

用灰色关联分析法研究了沥青抗老化性能与沥青化学组成之间的关联程度，结果表明，影响再生沥青性质的主要因素是沥青中的芳烃和胶质的含量。通过添加芳香组分能改善沥青四组分之间的配伍性，从而可以改善再生沥青的抗老化性能。并通过对再生剂进行富芳处理，验证了上述结论。     

影响道路沥青低温抗裂性能的因素

用弯曲梁流变仪、直接拉伸试验机对7种国内外油源沥青样品进行了低温抗裂性能的评价，从沥青的四组分、相对分子质量及其分布来分析其对沥青低温抗裂性能的影响，结果表明，沥青的相对分子质量分布宽，对沥青的低温抗裂性能有利。     

Estimation for the number of components in a mixture model using stepwise split-and-merge EM algorithm

The main difficulty with EM algorithm for mixture model concerns the number of components, say g. This is the question of model selection, and the EM algorithm itself could not estimate g. On the contrary, the algorithm requires g to be specified before the remaining parameters can be estimated. To solve this problem, a new algorithm, which is called stepwise split-and-merge EM (SSMEM) algorithm, is proposed. The SSMEM algorithm alternately splits and merges components, estimating g and other parameters of components simultaneously. Also, two novel criteria are introduced to efficiently select the components for split or merge. Experimental results on simulated and real data demonstrate the effectivity of the proposed algorithm.