ground improvement造句

• It expresses briefly the purpose and significance of the article , and introduces comprehensively present research situation , existing problems and research prospect of ground improvement . then , it puts forward research subject and chief contents of this paper . 2
  要介绍了本文研究工作的目的和意义，较全面地介绍了目前软基处理的研究现状，存在的问题和今后研究的展望，提出了本文的研究题目和主要研究内容。
• The traditional methods of ground improvement such as cement soil piles have shortages of low strength and short treating depth . to further reduce the discrepancy settlement , we can use the ptc prestressed pipe pile which has higher strength and treating depth
  传统水泥土搅拌桩法在处理深厚软基中存在处理深度浅、强度低等缺陷，为了进一步减小新老路基间的差异沉降，推荐采用强度高、处理深度大的ptc型先张法预应力管桩进行替代。
• Based on project practice of expressway ground improvement in recent ten years , this article deeply studies many decision problems of expressway ground improvement , makes definite some existing subjects which should be resolved in the decision of expressway ground improvement currently
  本文以近十年高速公路软基处理的工程实践为基础，深入地研究了高速公路软基处理的诸多决策问题，明确了当前高速公路软基处理决策中存在的有待解决的课题。
• Based on project practice of expressway ground improvement in recent years , and theoretically based on fuzzy mathematics , computer , technology , comprehensive evaluate , decision analysis and so on , and combined with the latest developments of geo - technique and soil mechanics , it studies the problem of expressway ground improvement decision , and take more stress on discussing the fuzzy decision model on the ground improvement of expressway , explores helpfully scientificalization of decision of expressway ground improvement
  本文以近年来高速公路软基处理的一些工程实践为基础，以模糊数学、计算机技术、综合评价、决策分析等为理论基础，结合岩土工程、土质学和土力学等学科的最新发展，对高速公路软基处理的决策问题进行了一定程度的研究，着重讨论了高速公路软基处理模糊决策模型，为高速公路软基处理的科学化进行了有益的探索。
• In the model , fuzzy analogy preferred relationship between feasible methods and the ideal one is determined , and the similar series in them in every affecting factor is given . determining their factor weights using the analytic hierarchy process ( ahp ) , the comprehensive similar series in them is carried out , and the most similar soft ground improvement method to ideal one is found out
  在该模型中，定义了模糊相似比，构造了软基处理方案影响因素的模糊相似优先关系，利用层次分析法确定了各影响因素的权重，从整体上找出了与理想方案最为相似的软基处理方案。
• Nowadays , the pcc pile have been widely used for soft ground improvement and application of foundation engineering . the behavior of pcc pile , that subjected to lateral load has been studied in this paper . the behavior of the pcc pile has involved moment and horizontal displacement and load of pcc pile . they are studied by in the physical model experimen , field test finite element numerical analysis , and exponential progression solution . in additional , the comparatively computal analysis are carried out among pcc pile , cast - in - situ concrete circular pile , prefabricate concrete square pile , and obtain some signification conclusion
  本文主要围绕现浇混凝土薄壁管桩(以下简称pcc桩)这一新型的桩基结构型式的水平承载性状展开研究，通过室内模型试验、现场试验、有限元数值模拟分析试验及弹性幂级数解析法分析等手段，对pcc桩水平承载的桩身受力性状，桩身挠曲位移，桩身弯距分布，桩与桩周土相互作用的地基反力等几方面进行了初步的探讨和研究，最后将pcc桩与目前工程中的两种常用于承受水平荷载的桩型进行对比计算分析，得到有意义的结论。
• It also analyses the influential factors of ground improvement , finds out the key factors , and makes the filling height , thickness of soft soil and the original void - ratio as the input parameters of decision model . then , their subject functions are formed according to the clearing up and the statistics of many practical data . finally the fuzzy inference principle is founded based on many experiments
  分析并找出了软基处理的关键影响因素，选择填土高度、软土层厚度和软土的初始孔隙比作为决策模型的输入参数，通过对大量实际数据的整理统计工作，构造了它们的隶属函数，通过大量试验，建立了模糊推理规则，并结合具体的工程实践证明了本模型的实用价值。
• The deformation of the embankment on expressway is an outstanding problem , because of the high traffic speed and high embankment . and therefore the soft ground improvement is a key issue especially when building the highway in the soft soil . but there is no standard method to design and calculate the height & width problem resulted from the embankment deformation as yet
  高速公路路堤一般较高，行车速度又快，地基变形引起的问题比较突出，而软基上修筑高速公路时地基变形引起问题的处理结果正是决定工程成败的比较关键而且直观的因素之一，但对于由于地基变形引起的高度及宽度问题的计算预测及施工控制，在以前没有较为规范的解决办法。
• Artificial neural net ( ann ) is used in technical decision of expressway ground improvement . decision model based on back propagation neural network and decision model based on adaptive resonance theory are set up for the first time , the result proves that ann decision models are valid and easy realization
  将人工神经网络( ann )用于高速公路软基处理的技术决策，建立了基于bp神经网络的高速公路软基处理方案决策模型和基于art神经网络的高速公路软基处理方案决策模型。
• According to the research contents and sequences of chapters and sections , this abstract introduces concisely as follows : 1 . it expresses briefly the purpose and significance of the article , and introduces comprehensively present research situation , existing problems and research prospect of ground improvement
  按着研究内容和论文的章节顺序，简要介绍如下： 1 .简要地介绍了本文研究工作的目的和意义，较全面地介绍了目前软基处理的研究现状，存在的问题和今后的研究展望。
• Based on system engineering , artificial intelligence , comprehensive evaluate , neural net , fuzzy mathematics , and combined with the latest developments of geo - technique and soil mechanics , the thesis studies many aspects of problems to establish intelligent decision support system of expressway ground improvement
  本文以系统工程、人工智能、模糊数学、灰色理论、神经网络等为理论基础，结合岩土工程、土质学和土力学等学科的最新发展，对建立高速公路软基处理智能决策模型进行了研究。
• At present , there are many methods of ground improvement in our country , and ground improvement is regional , so it is practical to optimize the project of ground improvement , based on the condition of geology and engineering , and the level of construction , inspection and economy
  目前我国现有的地基处理方法众多，而地基处理又是一项具有很强地域性的技术，结合本地区地质条件、工程条件、经济因素以及施工、监理水平等进行地基处理方案的优化是一项具有实际意义的工作。
• It expresses briefly the purpose and significance of the article , and introduces comprehensively present research situation , existing problems and research prospect of ground improvement . based on systems analysis of decision problems of expressway ground improvement , it puts forward research subject and chief contents of intelligent decision model of soft soil improvement methods . 2
  本文简要地介绍了本研究的目的和意义，系统地阐述了现有的软基处理方案决策法，如评分优化法、模糊评判法、层次分析法以及地基处理智能辅助设计系统等，介绍了它们的发展历史和研究现状，指出了它们存在的主要问题和不足，在此基础上，提出了本研究的工作思路和主要内容。
• By using reinforced - mat with other methods in ground - improvement and with taking into account the affection of filling rate on settlement of the ground , it is hopeful to control the ( residual ) settlement of soft ground . in order to meet the engineering requirement about settlement , this paper , based on large amount researches of domestic and abroad , focuses on studying techniques to improve expansive soils with geogrids and the functions of reinforced - mat in soft ground improvement
  其中，用土工格栅处理的膨胀土作为路基填料被认为缓解路基填料紧张的可行方法之一，而加筋垫层技术与其它的软基处理方法的合理搭配，并考虑填筑速率对沉降影响的施工工艺，则有望在一定程度上对软基路堤的沉降甚至工后沉降有控制作用。
• Therefore , tension tests of geogrids , pull - out tests between geogrids and expansive soils or sands , the related geotechical tests of soil " s properties , and model tests of soft ground improvement , were carried out for obtaining the engineering properties , quality index of geogrids , interaction parameters of friction characteristics between reinforcement and soils , and the affecting degree of factors influencing the lateral displacement ( pile ) rate during the construction of embankment filling with ( residual ) settlement considered restrictively
  本文以国内外大量研究成果为基础，集中力量开展控制变形的特种土作填料的物理改良技术和加筋垫层在控制沉降软基处理的作用研究，其核心是筋土界面相互作用关系。为此，进行了为确定土工格栅工程特性和寻找质量控制指标的拉伸试验、筋土界面设计参数合理获取的拉拔试验及其配套土工试验、软基上路堤填筑过程中坡脚的侧向位移及其速率的影响因素的室内模拟试验。
• Theoretically based on system engineering , artificial intelligence , knowledge engineering , comprehensive evaluate , neural net , fuzzy mathematics , genetic algorithm , decision analysis , computer technology and so on , and combined with the latest developments of geo - technique and soil mechanics , it studies many aspects of problems to establish intelligent decision support system of expressway ground improvement , explores helpfully intelligentization and scientificalization of decision of expressway ground improvement , replenishes the blank of this field
  以系统工程、人工智能、知识工程、综合评价、神经网络、模糊数学、遗传演化算法、决策分析、计算机技术等为理论基础，结合岩土工程、土质学和土力学等学科的最新发展，对建立高速公路软基处理智能决策支持技术的各方面问题进行了研究，为高速公路软基处理决策的智能化和科学化进行了有益的探索，填补了这方面的空白。
• Key factor is found out by analyzing deeply the influential factors of ground improvement , and decision models of two parameters and five parameters are set up . by collecting practical data and making experiments on ann models , the result proves that ann decision models are valid
  通过深入分析软基处理问题影响因素，在众多因素中找出了关键因素，构造了两参数决策模型和5参数决策模型，收集ann模型训练数据，对ann模型训练试验，结果表明构造的ann决策模型是有效的。