Evaluation model of surrounding rock stability based on fuzzy rock engineering systems (RES)-connection cloud

The factors affecting the stability of surrounding rock have fuzzy randomness, and their evaluation indicators not only show boundary ambiguity and interval discreteness but also have complex interactions. In order to reflect the distribution characteristics and interaction relationship of the indicators, and improve the accuracy of surrounding rock stability evaluation, a stability evaluation model of surrounding rock based on a fuzzy Rock Engineering Systems (RES)-connection cloud is proposed. The research showed that the introduction of linguistic hesitant fuzzy sets improves RES, resulting in experts’ compilation completely retained. Through cloud theory transformation, the subjectivity can be further weakened, and the credibility of indicator weight can be effectively improved. The two-dimensional cloud cause-effect map can reflect the indicator interaction relationship more intuitively and accurately. The joint state is found to be the most dominant parameter, and groundwater seepage is found to be the least dominant parameter. Furthermore, the connection cloud can overcome the defects of traditional cloud model which assumes the indictor follow normal distribution. Comparing the engineering application results with the matter-element extension method and the fuzzy set method, the feasibility of the present model is verified.

     

人工神经网络在结构工程中的应用和发展

依据神经网络原理及其自身的特点，对其应用在结构优化设计、结构分析及可靠度分析等方面进行了综述和研究，并在此基础上分析了神经网络在结构工程中的研究方向。     

BP神经网络在交通工程安全评价中的应用

在道路安全评价的方法中很多方法难以准确反映各因素间的相互关系,在信息来源不完整,评价规则矛盾等复杂的情况下,往往难以运用,通过BP神经网络在道路安全评价中的运用,结果表明BP神经网络方法能够对道路安全评价进行量化,其评价结果具有合理性。     

工程物探技术在岩土工程中的应用

简述了工程物探技术的发展历程,分析了物探技术在工程勘探与检测中的应用特点,并总结了工程物探技术在应用中的注意事项,指出工程物探技术具有勘察精度高、费用少、时间短等优点。     

人工神经网络在受腐蚀钢筋混凝土结构工程中的应用

介绍了人工神经网络在土木工程中的应用现状，阐述了人工神经网络在受腐蚀钢筋混凝土结构工程中的应用，介绍了神经网络方法在锈蚀钢筋与混凝土之间粘结特性及受腐蚀钢筋混凝土构件受力性能研究中新近取得的研究成果。研究表明，与传统的回归方法相比，神经网络方法在解决多影响因子复杂非线性问题方面具有显著的优势，在受腐蚀钢筋混凝土结构工程中具有广阔的应用前景。     

A comparative study on the application of various artificial neural networks to simultaneous prediction of rock fragmentation and backbreak

In blasting operation, the aim is to achieve proper fragmentation and to avoid undesirable events such as backbreak. Therefore, predicting rock fragmentation and backbreak is very important to arrive at a technically and economically successful outcome. Since many parameters affect the blasting results in a complicated mechanism, employment of robust methods such as artificial neural network may be very useful. In this regard, this paper attends to simultaneous prediction of rock fragmentation and backbreak in the blasting operation of Tehran Cement Company limestone mines in Iran. Back propagation neural network (BPNN) and radial basis function neural network (RBFNN) are adopted for the simulation. Also, regression analysis is performed between independent and dependent variables. For the BPNN modeling, a network with architecture 6-10-2 is found to be optimum whereas for the RBFNN, architecture 6-36-2 with spread factor of 0.79 provides maximum prediction aptitude. Performance comparison of the developed models is fulfilled using value account for (VAF), root mean square error (RMSE), determination coefficient (R²) and maximum relative error (MRE). As such, it is observed that the BPNN model is the most preferable model providing maximum accuracy and minimum error. Also, sensitivity analysis shows that inputs burden and stemming are the most effective parameters on the outputs fragmentation and backbreak, respectively. On the other hand, for both of the outputs, specific charge is the least effective parameter.     

神经网络在结构损伤识别中的应用

探讨了用神经网络对混凝土结构裂缝进行损伤识别和定位的方法,以一矩形截面悬臂梁为研究对象,通过完好结构和损伤结构的有限元分析,并进行了单处损伤和多处损伤的定位研究,数值仿真结果表明,该方法对于实际工程结构的损伤识别具有一定的指导意义。     

工程物探方法在岩石风化程度判别中的应用

结合某电厂工程地质条件,运用波速试验、高密度电阻率法(直流电法)和地质雷达测试(电磁波法)等物探方法,较好地判别了基岩风化程度的整体分布范围及软弱岩土层的分布区域,并通过工程地质调查及钻探验证,证实了工程物探能快速、真实、准确地反映基岩风化程度,以指导后期基础设计及基坑开挖。     

围岩多场耦合分析及工程应用研究

根据深部围岩的三高特性:高应力、高温度和高渗流,建立了温度-渗流-应力三场耦合的控制方程,采用有限元法进行了求解。考虑了围岩的蠕变及破坏之后的应力迁移,并推导了有限元增量表达式。考虑温度和渗流的影响,给出了围岩不稳定体加固设计方法。将提出的计算方法应用于工程实例进行了分析,结果表明本文提出的方法是可行的。     

Estimation of strength parameters of rock using artificial neural networks

The accurate determination of geomechanical properties such as uniaxial compressive strength and shear strength requires considerable time in collecting appropriate samples, their preparation and laboratory testing. To minimize the time and cost, a number of empirical relations have been reported which are widely used for the estimation of complex rock properties from more easily acquired data. This paper reports the use of an artificial neural network to predict the deformation properties of Coal Measure rocks using dynamic wave velocity, point load index, slake durability index and density. The results confirm the applicability of this method.     

断裂力学及其在岩体工程中的应用初探

介绍了断裂力学的基本理论,包括应力强度因子的计算、裂纹扩展方向和断裂判据,并对岩石断裂力学研究中所涉及的岩石破坏机理和岩石断裂韧度进行了阐述,以供参考。     

人工神经网络在建筑工程项目管理中的应用

简要介绍人工神经网络的基本原理,综述了人工神经网络在建筑工程项目管理的造价预测、项目管理绩效评价、招投标等方面的应用及ANN在该领域应用中存在的不足之处,并对人工神经网络在建筑工程项目管理中的应用提出了建议。     

顶管技术在污水管网工程中的应用

对顶管施工方法工艺的特点、管材选择、顶力计算和顶距确定、工作坑和接收坑选用及尺寸确定等方面进行了分析,并提出了顶管法施工应注意的一些事项,以推广顶管技术的应用。     

瑞雷波法在岩土工程检测中的应用

概述了瑞雷波勘探方法在工程地质中的作用，介绍了瑞雷波的特点，分析了瞬态瑞雷波法的测试原理，阐述了瑞雷波测试在岩土工程中的具体应用，指出了瑞雷波今后的研究方向。     

人工神经元网络在暖通空调系统中的应用

概略介绍了人工神经元网络的结构的反向传播算法的特点,着重从控制、建模和优化方面阐述了人工神经元网络在暖通空调系统中的应用。     

浅析注浆技术在岩土工程中的应用

简单介绍了注浆材料、注浆历史、注浆加固方法、注浆技术在矿山、铁道、水利、土木工程中的应用以及在注浆过程中特殊情况的处理,以期使工程人员能够充分认识到注浆技术在工程建设各个方面的重要性。     

工程缺陷防控冲击地压机理及应用

在对冲击地压显现全面调研的基础上,分析了冲击地压的防控现状与发展趋势,提出了高应力与高能量冲击地压的工程缺陷防控方法。针对冲击地压煤层的工程特性,进行了缺陷的定义与分类,详尽地论述了工程缺陷对冲击地压防控的力学机制;分析了含有缺陷介质体的冲击危险煤层应力分布特征,并结合实例详细阐述了工程缺陷防控冲击地压的机理及具体应用情况,对缺陷体的能量释放范围和程度进行了数值模拟验证,在深部与强冲击能量区域冲击地压治理方面获得了一定的成效。     

Evolution process of rock mass engineering system using systems science

<正>1.Introduction The rock mass engineering system(RMES)basically consists of rock mass engineering(RME),water system and surrounding ecological environments.etc.The RMES is characterized by nonlinearity,occurrence of chaos and self-organization(Tazaka,1998;Tsuda,1998;Kishida,2000).From construction to abandonment of RME,the RMES will experience four stages,i.e.initial phase,development phase,declining phase and failure phase.In this     

公路工程填石路基施工技术运用及质量控制

论述了公路工程填石路基施工的特点,从路基基底处理、填料摊铺、压实控制等方面,探讨了公路填石路基的施工技术及质量控制措施,从而提高公路工程的整体施工效果。     

BP神经网络拟合高程在长线路工程中的应用

对BP网络神经方法在拟合长路线工程中的应用进行了研究,利用MATLAB编程计算得出BP网络神经拟合厘米级长路线水准面模型,并通过与传统模型二次曲面、Shepard曲面拟合效果的对比分析,得出其拟合精度略优于传统模型,为长路线工程提供了更加有效的解决办法。