王家官庄旧村改造基坑支护设计与施工实践          下载免费PDF全文

李先经  王会军  刘心起 《探矿工程》2020,47(1):69-74

介绍了青岛市即墨区王家官庄旧村改造项目基坑支护设计方案与基坑支护实施情况，该工程地层条件复杂，地下水丰富，又靠近石鹏水库，环境条件较复杂，通过采用土钉墙与高压旋喷桩止水帷幕，基坑降水等技术措施的顺利实施，基坑支护效果良好，确保了地下车库基坑开挖、基础施工的安全，施工质量满足相关技术要求。  相似文献   

南昌商业中心深基坑工程组合支护技术          下载免费PDF全文

谢秋明  张青平 《探矿工程》2020,47(9):75-80,96

以南昌市一商业中心深基坑支护工程实例为背景，通过分析周边环境、地质条件、开挖深度,在保证安全的前提下，充分利用各种因素降低基坑支护造价。在地下水控制上，合理确定坑外地下水位控制标高，采用截水、降水的组合形式。基坑支护采用组合支护结构，在不同部位分别采用土钉墙、锚拉式排桩的支护形式；支护结构上，下部采用不同结构类型的组合。通过设计方案比较与优化，做到安全适用、经济合理。  相似文献   

Building a model-based personalised recommendation approach for tourist attractions from geotagged social media data     

Xiaoyu Sun  Xia Peng  Yiran Chen  Yu Liu 《International Journal of Digital Earth》2019,12(6):661-678

When travelling, people are accustomed to taking and uploading photos on social media websites, which has led to the accumulation of huge numbers of geotagged photos. Combined with multisource information (e.g. weather, transportation, or textual information), these geotagged photos could help us in constructing user preference profiles at a high level of detail. Therefore, using these geotagged photos, we built a personalised recommendation system to provide attraction recommendations that match a user's preferences. Specifically, we retrieved a geotagged photo collection from the public API for Flickr (Flickr.com) and fetched a large amount of other contextual information to rebuild a user's travel history. We then created a model-based recommendation method with a two-stage architecture that consists of candidate generation (the matching process) and candidate ranking. In the matching process, we used a support vector machine model that was modified for multiclass classification to generate the candidate list. In addition, we used a gradient boosting regression tree to score each candidate and rerank the list. Finally, we evaluated our recommendation results with respect to accuracy and ranking ability. Compared with widely used memory-based methods, our proposed method performs significantly better in the cold-start situation and when mining ‘long-tail’ data.  相似文献   

Ensemble prediction of regional droughts using climate inputs and the SVM–copula approach          下载免费PDF全文

Poulomi Ganguli  M. Janga Reddy 《水文研究》2014,28(19):4989-5009

In this study, the climate teleconnections with meteorological droughts are analysed and used to develop ensemble drought prediction models using a support vector machine (SVM)–copula approach over Western Rajasthan (India). The meteorological droughts are identified using the Standardized Precipitation Index (SPI). In the analysis of large‐scale climate forcing represented by climate indices such as El Niño Southern Oscillation, Indian Ocean Dipole Mode and Atlantic Multidecadal Oscillation on regional droughts, it is found that regional droughts exhibits interannual as well as interdecadal variability. On the basis of potential teleconnections between regional droughts and climate indices, SPI‐based drought forecasting models are developed with up to 3 months' lead time. As traditional statistical forecast models are unable to capture nonlinearity and nonstationarity associated with drought forecasts, a machine learning technique, namely, support vector regression (SVR), is adopted to forecast the drought index, and the copula method is used to model the joint distribution of observed and predicted drought index. The copula‐based conditional distribution of an observed drought index conditioned on predicted drought index is utilized to simulate ensembles of drought forecasts. Two variants of drought forecast models are developed, namely a single model for all the periods in a year and separate models for each of the four seasons in a year. The performance of developed models is validated for predicting drought time series for 10 years' data. Improvement in ensemble prediction of drought indices is observed for combined seasonal model over the single model without seasonal partitions. The results show that the proposed SVM–copula approach improves the drought prediction capability and provides estimation of uncertainty associated with drought predictions. Copyright © 2013 John Wiley & Sons, Ltd.  相似文献   

将微粒群和支持向量机用于耕地驱动因子选择的研究   总被引：2，自引：0，他引：2  

杨柳  刘艳芳 《武汉大学学报(信息科学版)》2010,(2)

结合微粒群算法(PSO)具有执行速度快、受问题维数变化影响小的优点及支持向量机算法(SVM)结构风险最小化原理,构建了基于离散二进制微粒群(BPSO)与支持向量机的耕地驱动力因子选择方法,使用特征子集中确定的特征来训练支持向量回归机,用适应度函数来评价回归机的性能,指导BPSO的搜索。实验表明,该方法能有效地提取出耕地驱动因子的特征子集,从而降低了指标的维数,保留了关键信息,以获得知识的最小表达。  相似文献   

Site characterization model using least‐square support vector machine and relevance vector machine based on corrected SPT data (Nc)     

Pijush Samui  T. G. Sitharam 《国际地质力学数值与分析法杂志》2010,34(7):755-770

Statistical learning algorithms provide a viable framework for geotechnical engineering modeling. This paper describes two statistical learning algorithms applied for site characterization modeling based on standard penetration test (SPT) data. More than 2700 field SPT values (N) have been collected from 766 boreholes spread over an area of 220 sqkm area in Bangalore. To get N corrected value (N_c), N values have been corrected (N_c) for different parameters such as overburden stress, size of borehole, type of sampler, length of connecting rod, etc. In three‐dimensional site characterization model, the function N_c=N_c (X, Y, Z), where X, Y and Z are the coordinates of a point corresponding to N_c value, is to be approximated in which N_c value at any half‐space point in Bangalore can be determined. The first algorithm uses least‐square support vector machine (LSSVM), which is related to a ridge regression type of support vector machine. The second algorithm uses relevance vector machine (RVM), which combines the strengths of kernel‐based methods and Bayesian theory to establish the relationships between a set of input vectors and a desired output. The paper also presents the comparative study between the developed LSSVM and RVM model for site characterization. Copyright © 2009 John Wiley & Sons, Ltd.  相似文献   

环境风险应急管理决策支持系统的设计与实现   总被引：1，自引：0，他引：1  

陈波  葛永慧 《测绘工程》2010,19(5):67-70

针对典型煤化工产业聚集区(太原市晋源区)环境风险应急管理决策支持系统的建立,进行系统功能结构划分和详细设计,并利用ArcGIS Server二次开发,实现在Web环境下地物空间信息的完整表达,地理信息的定位查询,应急救援资源的分类查询和对风险源的实时监控,完成最短路径查询、最邻近设施选择、救援服务区确定等空间分析功能,形成完整的应急响应机制,为应急管理决策提供有力依据。  相似文献   

Study on founding of a residential–administrative complex in poor soil conditions in seismic prone region     

K. Talaganov  V. Sesov 《Soil Dynamics and Earthquake Engineering》2000,20(5-8):429-434

This paper gives a brief presentation of the study on foundation of a residential business complex. The unfavourable geotechnical conditions of the site considered led to the need to improve the natural foundation soil. The most favourable and rational solution for providing safety and stability of structures was the combination of gravel and a sub-base. Computations were done as follows: analysis of the stress–strain state by using the parameters of the natural non-improved soil and analyses performed by using the parameters of the improved soil. The results from these analyses were used for analysis of the integral soil–structure system. Hence, complete information on the possibility for optimisation of the foundation structure was obtained.  相似文献   

分数阶傅里叶变换联合支持向量机的建筑物变形预测     

古巍  李倩  陈代果 《大地测量与地球动力学》2022,42(12):1239-1245

提出一种分数阶傅里叶变换(fractional Fourier transformation, FrFT)与支持向量机(support vector machine, SVM)相结合的建筑物变形组合预测模型。首先利用FrFT对变形时间序列进行多尺度分析,将复杂时间序列分解为一系列结构较为简单的子序列;然后利用SVM对每个子序列分别建立预测模型,通过将各个子序列的预测结果进行综合叠加,得到最终预测结果;同时考虑到SVM模型参数选择的难题,提出一种改进果蝇优化算法(improved fruit fly optimization algorithm, IFOA)对其进行全局寻优,提升预测性能。以西南地区某混凝土坝变形实测数据为例开展验证实验,结果表明,本文组合预测模型能够充分挖掘数据中隐含的趋势性和规律性信息,获得较高的预测精度。  相似文献   

我国数字领海建设问题的几点思考     

姜晨光  袁春桥  潘吉仁 《海洋地质前沿》2004,20(10):6-9

阐述了我国“数字领海(含专属经济区)”建设的重要性与迫切性；介绍了“数字领海”系统的功能、基本特征、技术支撑体系、信息采集方法、信息管理方法及信息更新方法；指出了“数字领海”系统建设中应注意的若干问题。  相似文献