Novel Extreme Learning Machine-Multi-Verse Optimization Model for Predicting Peak Particle Velocity Induced by Mine Blasting     

Zhang  Xiliang  Nguyen  Hoang  Choi  Yosoon  Bui  Xuan-Nam  Zhou  Jian 《Natural Resources Research》2021,30(6):4735-4751

Natural Resources Research - Peak particle velocity (PPV) is an important criterion for assessing the risk level of ground vibration induced by mine blasting. Based on this criterion, many efforts...  相似文献   

区域铜元素的空间变异和自相关规律分析     

刘修国  任泽 《地理与地理信息科学》2014,30(5)

研究地球化学元素在地球化学场中的空间最大变异距离、空间聚集以及空间异常分布情况。通过稳健半变差函数确定空间最大变异距离,在最大变异距离内分别对在不同的距离、原始数据和经过Box-Cox变换的数据使用局部空间自相关Moran′s Ii指数研究元素含量的空间聚集和空间异常,与基于C-A多重分形法的异常下限确定方法所圈定的异常范围进行对比。以面积为8 130km2的铜矿区所采集的1∶20万水系沉积物1 341个组合样点的Cu元素含量为例,局部Moran′s Ii能很好地划分空间聚集和空间异常,尤其是针对经过变换的数据能探测出比C-A法范围更大的聚集和异常,符合客观实际,与已知矿床(点)吻合很好。  相似文献   

A new SPH-based approach to simulation of granular flows using viscous damping and stress regularisation   总被引：2，自引：1，他引：1  

Cuong T. Nguyen  Chi T. Nguyen  Ha H. Bui  Giang D. Nguyen  Ryoichi Fukagawa 《Landslides》2017,14(1):69-81

The smoothed particle hydrodynamics (SPH) method was recently extended to simulate granular materials by the authors and demonstrated to be a powerful continuum numerical method to deal with the post-flow behaviour of granular materials. However, most existing SPH simulations of granular flows suffer from significant stress oscillation during the post-failure process, despite the use of an artificial viscosity to damp out stress fluctuation. In this paper, a new SPH approach combining viscous damping with stress/strain regularisation is proposed for simulations of granular flows. It is shown that the proposed SPH algorithm can improve the overall accuracy of the SPH performance by accurately predicting the smooth stress distribution during the post-failure process. It can also effectively remove the stress oscillation issue in the standard SPH model without having to use the standard SPH artificial viscosity that requires unphysical parameters. The predictions by the proposed SPH approach show very good agreement with experimental and numerical results reported in the literature. This suggests that the proposed method could be considered as a promising continuum alternative for simulations of granular flows.  相似文献   

A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China)     

Haoyuan Hong  Junzhi Liu  A-Xing Zhu  Himan Shahabi  Binh Thai Pham  Wei Chen  Biswajeet Pradhan  Dieu Tien Bui 《Environmental Earth Sciences》2017,76(19):652

This study proposed a hybrid modeling approach using two methods, support vector machines and random subspace, to create a novel model named random subspace-based support vector machines (RSSVM) for assessing landslide susceptibility. The newly developed model was then tested in the Wuning area, China, to produce a landslide susceptibility map. With the purpose of achieving the objective of the study, a spatial dataset was initially constructed that includes a landslide inventory map consisting of 445 landslide regions. Then, various landslide-influencing factors were defined, including slope angle, aspect, altitude, topographic wetness index, stream power index, sediment transport index, soil, lithology, normalized difference vegetation index, land use, rainfall, distance to roads, distance to rivers, and distance to faults. Next, the result of the RSSVM model was validated using statistical index-based evaluations and the receiver operating characteristic curve approach. Then, to evaluate the performance of the suggested RSSVM model, a comparison analysis was performed to other existing approaches such as artificial neural network, Naïve Bayes (NB) and support vector machine (SVM). In general, the performance of the RSSVM model was better than the other models for spatial prediction of landslide susceptibility. The AUC results of the applied models are as follows: RSSVM (AUC = 0.857), followed by MLP (AUC = 0.823), SVM (AUC = 0.814) and NB (AUC = 0.783). The present study indicates that RSSVM can be used for landslide susceptibility evaluation, and the results are very useful for local governments and people living in the Wuning area.  相似文献   

Climate change and groundwater resources in Mekong Delta,Vietnam          下载免费PDF全文

Duong D Bui  Nghia C Nguyen  Nuong T Bui  Anh T T Le  Dao T Le 《地下水科学与工程》2017,5(1):76-90

Groundwater resources have considerable influences on the human population and socioeconomic development of Vietnam and the Mekong River Delta (MRD). This paper presents an overview of the relationship between climate change and groundwater in the MRD, including the challenges, strategies and technical measures. Our results showed that groundwater levels are related to other climate and hydrological variables (i.e., rainfall, river levels, etc.); therefore, the impacts of climate change on the groundwater resources of the Mekong delta are significant, especially on groundwater recharge. Based on the results of this study, it is recommended that groundwater development in the future should focus on reducing groundwater harvesting, enhancing groundwater quantity by establishing artificial works and exploiting surface water. This study suggests that the Artificial Neural Network (ANN) model is an effective tool for forecasting groundwater levels in periods of 1 month and 3 months for aquifers in the natural and tidal regime areas of the delta.  相似文献   

A variationally consistent hyperstatic reaction method for tunnel lining design     

Hoang-Giang Bui  Jelena Nini&#x;  Ngoc-Anh Do  Daniel Dias  Günther Meschke 《国际地质力学数值与分析法杂志》2022,46(1):205-217

In this technical note, a consistent finite element formulation of the Hyperstatic Reaction Method (HRM) for tunnel linings design is proposed by introducing a variational consistently linearized formulation. It permits to consider a nonlinear interaction between a lining structure and the surrounding ground. Recent advances of the HRM in regard to the consideration of the nonlinear response of the segmented tunnel lining exposed to design loads use an iterative algorithm for solving the nonlinear system of equations. In the proposed Variationally consistent Hyperstatic Reaction Method (VHRM), a distributed nonlinear spring model representing the interaction between the lining and the ground soils is considered in a variationally consistent format. Computing the tangential spring stiffness via consistent linearization, and using Newton-Raphson iteration, requires significantly smaller number of iterations as compared to the original HRM model based on nodal springs. Furthermore, the method is applicable for simulations using solid finite elements (2D and 3D), as well as beam or finite shell elements, respectively.  相似文献