大型地下洞室高边墙的拉应变准则研究     

陈国庆  苏国韶  江权  李天斌 《岩土力学》2011,32(Z1):603-0608

高地应力等复杂环境下大跨度地下洞室群开挖容易诱发高边墙的脆性拉裂破坏,在Mohr-Coulomb准则基础之上,基于拉应变准则,提出大型地下厂房高边墙破坏的复合拉剪屈服准则。根据弹塑性理论,张拉和剪切屈服分别采用相关联和非相关联的塑性流动法则,详细推导了该准则在有限差分法中的计算格式,并对张拉和剪切屈服面的应力空间进行了分界。利用C语言程序编写的动态链接库文件,实现了该准则在通用软件的科学仿真计算。以高应力地区的拉西瓦水电站地下厂房为工程实例,与FLAC3D自带的拉剪屈服准则相比,基于拉应变准则的计算结果表明,大跨度高边墙拉破坏明显,塑性区以及应力松弛区的面积更小,能合理描述硬岩高边墙的脆性拉裂破坏特征。大型硬岩地下洞室群的计算分析验证了该准则的合理性和实用性  相似文献   

基于Hoek-Brown准则的隧洞围岩变形研究   总被引：1，自引：0，他引：1  

温森  杨圣奇 《岩土力学》2011,32(1):63-69

由于在许多实际条件下,比如节理岩体中,线性的M-C准则不太适用,非线性的Hoek-Brown比较适用,因此,可以尝试使用这一非线性屈服准则对洞室变形进行研究。研究隧洞变形时,将围岩分为弹性区、应变软化区、塑性流动区。采用Hoek-Brown准则和非关联流动法则对洞室变形进行了理论推导;软化区域围岩参数随着塑性变形增加而变化,解析法难以求得应力,采用龙格－库塔方法进行数值计算,求解得到塑性软化区和流动区半径,并最终求得洞室变形。通过算例计算表明,在不考虑软化区和流动区时,方法和Carranza-Torres计算结果相差甚小;随着原岩应力的增加,膨胀角对洞室变形的影响增大。  相似文献   

基于离差加权的煤矿突水水源判别模型及应用     

潘婧  钱家忠  马雷 《煤田地质与勘探》2010,38(1):54-57

矿井突(涌)水水源的快速识别是矿井水害有效防治的前提条件。针对应用模糊综合评判方法解决水源判别常用的"超标加权法"和"偏标加权法"确定判别因子的权重系数方面存在的不足,结合方差分析中的离差分解法,提出了矿井突水水源判别权重系数确定的离差加权法;利用SPSS软件,并以淮南潘三矿为例,对上述3种模型进行对比分析研究。结果表明:基于离差加权的模糊综合评判能够有效的判别突水水源,比"超标加权法"和"偏标加权法"有更高的判别率;基于离差加权的模糊综合评判具有原理清晰、结构简单、运算量小、更为合理等优点,适合快速识别水源,为矿井水害防治提供了一种辅助决策手段。   相似文献   

工程区高地应力判据研究及实例分析   总被引：5，自引：2，他引：3  

王成虎  郭啟良  丁立丰  刘立鹏 《岩土力学》2009,30(8):2359-2364

对原地应力状态的准确把握是地下工程稳定性评价的重要基础,而选择可行的高地应力判据是进行地应力状态评价的前提条件。在详细分析现有各种原地应力评价判据的基础上,提出可行的高地应力判据,并在判据模型中引入了国际上认可度非常高的Shoerey模型,但该模型没有考虑岩体变形模量和岩石弹性模量的区别。通过广泛研究目前国内外关于岩体强度的理论和方法,引入Hoek-Brown岩体强度估算理论,补充完善了Shoerey模型。云南禄丰某工程隧道,工程区共布置两个地应力测孔,测试结果较为离散。利用应力状态评价和数据拟合方法,推算出最大埋深部位的应力值达19.29 MPa,而岩体整体强度仅为5.243 MPa。按照强度应力比和Shoerey模型的评判标准,该隧道洞身部位的应力状态均为极高应力状态,应引起重视。对原地应力状态评价的一般方法和步骤进行了概括总结,以方便其他工程参考使用。  相似文献   

泥岩弹塑性损伤本构模型及其参数辨识   总被引：2，自引：1，他引：1  

贾善坡  陈卫忠  于洪丹  李香玲 《岩土力学》2009,30(12):3607-3614

以连续介质力学和不可逆热力学为基础,将损伤引入到修正的Mohr-Coulomb准则中,建立了泥岩弹塑性损伤本构模型反映泥岩软硬化行为,通过构建损伤势函数导出了泥岩的损伤演化方程,编制了泥岩弹塑性损伤本构模型及其参数反演程序。并根据非排水条件下泥岩三轴试验结果,采用多目标函数优化反分析法获得了泥岩本构模型参数。研究成果表明,所提出的弹塑性损伤本构模型能有效地描述泥岩在不同应力状态下的力学特性。  相似文献   

基于PCA-GEP算法的边坡稳定性预测   总被引：5，自引：1，他引：4  

谷琼  蔡之华  朱莉  黄波 《岩土力学》2009,30(3):757-761

提出一种基于主成分分析的基因表达式程序设计算法,并将其用于边坡稳定性预测。该算法先采用主成分分析法对样本数据进行预处理,有效地减少预测模型的输入量,消除输入数据间的相关性,再将得到的新样本数据输入基因表达式,构建边坡稳定性的预测模型。利用该预测模型对82个危险圆弧破坏边坡实例中的71个实例进行学习,对另外11个实例进行预测,取得了较好的效果。在保留传统的以误差值作为评判模型优劣标准的同时,引入AIC信息准则法,分别对v-SVR算法和GA-BP网络算法和PCA-GEP算法三种预测模型进行比较分析,结果表明,运用该算法可以获得更优的预测模型,其预测结果比v-SVR算法和GA-BP网络等其他算法得到的结果具有更高的预测精度。工程实例计算表明,该方法是合理、可行的。  相似文献   

Classification of seismic signals at Villarrica volcano (Chile) using neural networks and genetic algorithms     

Gloria Curilem  Jorge Vergara  Gustavo Fuentealba  Gonzalo Acuña  Max Chacón 《Journal of Volcanology and Geothermal Research》2009

Each volcano has its own unique seismic activity. The aim of this work is to construct a system able to classify seismic signals for the Villarrica volcano, one of the most active volcanoes in South America. Since seismic signals are the result of particular processes inside the volcano's structure, they can be used to forecast volcanic activity. This paper describes the different kinds of seismic signals recorded at the Villarrica volcano and their significance. Three kind of signals were considered as most representative of this volcano's activity: the long-period, the tremor, and the energetic tremor signals. A classifier is implemented to read the seismic registers at 30-second intervals, extract the most relevant features of each interval, and classify them into one of the three kinds of signals considered as most representative of this particular volcano. To do so, 1033 different kinds of 30-s signals were extracted and classified by a human expert. A feature extraction process was applied to obtain the main characteristics of each of them. This process was developed using criteria which have been shown by others to effectively classify seismic signals, based on the experience of a human expert. The classifier was implemented with a Multi-Layer Perceptron (MLP) artificial neural network whose architecture and training process were optimized by means of a genetic algorithm. This technique searched for the most adequate MLP configuration to improve the classification performance, optimizing the number of hidden neurons, the transfer functions of the neurons, and the training algorithm. The optimization process also performed a feature selection to reduce the number of signal features, optimizing the number of network inputs. The results show that the optimized classifier reaches more than 93% exactitude. identifying the signals of each kind. The amplitude of the signals is the most important feature for its classification, followed by its frequency content. The described methodology can be used to classify more seismic signals to improve the study of the activity of this volcano or to extend the study to other active volcanoes of the region.  相似文献   

区域主导产业选择方法研究进展   总被引：7，自引：0，他引：7  

秦耀辰  张丽君 《地理科学进展》2009,28(1)

区域主导产业一直是地理学与经济学共同研究的热点,已有的各种选择方法广泛应用于不同等级地域单元主导产业的确立和培育.在全球化和区域一体化背景下,区域内涵发生变化,区域主导产业呈现出新的特点,区域主导产业选择方法也在快速发展.其方法体系正在形成.文章总结了不同发展阶段区域主导产业的内涵,归纳出13种区域主导产业选择方法.根据选择基准的特点划分了两类选择模型:单基准模型和多基准模型,并结合具体案例对其中比较典型的DEA模型、钻石理论修正模型、灰色聚类模型和层次分析模型进行了对比分析.研究发现:DEA模型能较客观精确地分析区域主导产业:钻石理论模型在理论上有所突破,是今后区域主导产业选择方法发展的新方向:灰色聚类模型和层次分析模型是现有较准确刻画区域主导产业选择的模型.但目前的区域主导产业选择理论与方法都不完善,从发展趋势看,基于功能分区理论和GIS技术的研究应用将得到加强.  相似文献   

Optimum design and application of non‐traditional tuned mass damper toward seismic response control with experimental test verification          下载免费PDF全文

Ping Xiang  Akira Nishitani 《地震工程与结构动力学》2015,44(13):2199-2220

A variant type of tuned mass damper (TMD) termed as ‘non‐traditional TMD (NTTMD)’ is recently proposed. Mainly focusing on the employment of TMD for seismic response control, especially for base‐isolated or high‐rise structures, this paper aims to derive design formulae of NTTMDs based on two methodologies with different targets. One is the fixed points theory with the performance index set as the maximum magnitude of the frequency response function of the relative displacement of the primary structure with respect to the ground acceleration, and the other is the stability maximization criterion (SMC) to make the free vibration of the primary structure decay in the minimum duration. Such optimally designed NTTMDs are compared with traditional TMDs by conducting both numerical simulations and experiments. The optimum‐designed NTTMDs are demonstrated to be more effective than the optimum‐designed traditional TMDs, with smaller stroke length required. In particular, the effectiveness of the TMDs combined with a base‐isolated structure is investigated by small‐scale model experimental tests subjected to a time scaled long period impulsive excitation, and it is demonstrated that the SMC‐based NTTMD can suppress structural free vibration responses in the minimum duration and requires much smaller accommodation space. Additionally, a small‐scale shaking table experiment on a high‐rise bending model attached with a SMC‐based NTTMD is conducted. This study indicates that NTTMD has a high potential to apply to seismic response control or retrofit of structures such as base‐isolated or central column‐integrated high‐rise structures even if only a limited space is available for accommodating TMDs. Copyright © 2015 John Wiley & Sons, Ltd.  相似文献   

基于镁铁-超镁铁岩中单斜辉石主量元素含量的决策树集成算法对比     

孙建鹍  杜雪亮  章宝月  王龙  金维浚  张旗  罗熊  朱月琴 《地质通报》2019,38(12):1981-1991

依靠岩浆构造环境的地球化学成分认识岩浆形成过程是岩石地球化学中的重要应用。当前利用岩石地球化学成分判别构造环境的工作还不够深入。用4种基于决策树的机器学习方法对来自全球新生代洋岛玄武岩(OIB)、岛弧玄武岩(IAB)及大洋中脊玄武岩(MORB)等镁铁-超镁铁岩中单斜辉石的13种主量元素构成数据集进行了岩浆构造环境判别和主要特征排序。通过对比4种基于决策树的机器学习方法,验证了树类算法对于地球化学成分识别问题的有效性,并总结出4种方法在处理岩浆构造环境判别问题时的优劣:决策树算法判别过程更易于理解,但是其准确率欠佳;boosting算法中的AdaBoost和GBDT对于岩浆构造环境的鉴别准确度较高,但构造过程复杂;bagging集成算法随机森林在权衡性能和模型可理解性时不失为一个良好的选择。此外,还通过4种算法的特征重要性排序得出Cr_2O_3,TFeO,TiO_2,FeO和Al_2O_3是进行岩浆构造环境判别的重要成分。  相似文献