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71.
承压水减压引起的沉降分析 总被引:7,自引:0,他引:7
由下卧承压水层减压引起的固结沉降计算与一般的由堆载或潜水位下降引起的固结沉降计算不同,本文着重研究了在深厚弱透水层下卧强透水承压层的复杂地质条件下,下卧承压水层减压引起的土中应力变化及周围地表沉降的计算方法;在假定一维竖向固结的条件下推导了减压引起的沉降固结度计算公式,该公式与常规的双向排水固结公式相同,表明排水减压固结与常规的双向排水固结有着相同的效果.最后,将此分析方法应用于潮州供水枢纽工程西溪水闸沉降分析中,实践的结果表明,该方法简单可行,能较好地满足工程要求. 相似文献
72.
Several theoretical, empirical and semi-empirical methods are available in the literature to predict settlement of drilled
shafts in sandy soils. In the Arabian Gulf countries, specifically in the United Arab Emirates, equations and procedure from
the rest of the world are being used in analysis and design of drilled shafts without proper validation. It is the aim of
this study to assess the applicability and evaluate the accuracy of two well known, and commonly used methods for pile prediction
in the United Arab Emirates (UAE), namely Vesic (1977) and Poulos (1979), via comparison with data from field pile load tests
conducted on shafts drilled in the region. Some of these tests were conducted for the purpose of this study, while others
were made available through the courtesy of International Piling Contractors who are active in the region (e.g. Bauer International
and Swiss Borings). Pile load test data were analyzed to back-calculate the model parameters related to settlement under different
loading stages. Geological data and soil properties were obtained from studies conducted at the relevant sites. An effort
is made to correlate soil properties with the prediction models. Statistical analysis is conducted to assess the accuracy
of the results obtained from the two methods at different stages of loading via those obtained from pile load tests. Moreover,
a detailed parametric study is conducted to assess the effect of the related parameters on the predicted pile settlement and
the estimated settlement at different stages of loading. The study concluded with a recommendation of the most appropriate
models and procedures to be followed for predicting the settlement of drilled shafts in the UAE, together with useful charts
and correlation relations. Results showed that settlement values predicted by Vesic (1977) and Poulos (1979) overestimates
the true values.
This revised version was published online in July 2006 with corrections to the Cover Date. 相似文献
73.
Àngels Pascual-de-Sans 《Area》2004,36(4):348-357
The aim of this article is to explore a methodological approach relevant to the study of population mobility. The approach considers not only the whole migratory process and the sequence of connected movements, but also what happens between each of them. The study of mobility is considered inseparable from the study of passage, permanence and settlement. This paper establishes the interest in elaborating concepts that express the interaction between people and places, and how these interactions contribute to an understanding of migratory processes and of 'place histories'. In this sense, geographical identification (idiotopy) and place identification (idiotope) are put forward as useful concepts. 相似文献
74.
75.
S. Chakraverty 《地震工程与结构动力学》2005,34(6):543-554
A procedure has been presented in this paper to identify the structural parameters, viz. mass and stiffness matrices, from modal test data for multistorey shear buildings. The first two orders of modal data have been used by other researchers to estimate the global matrices where they depend only on measurable points which are less than the total number of structural degrees of freedom. The above method has been refined here by using Holzer criteria along with other numerical methods to estimate the global mass and stiffness matrices of the structure. This shows the methodology to be more efficient and accurate. The reliability of the procedure has been shown by examples of multistorey buildings. Copyright © 2004 John Wiley & Sons, Ltd. 相似文献
76.
针对经典灰色系统模型的不足,根据灰色系统理论的信息处理原则,在模型中引入遗忘因子,建立了灰色系统沉降预测的非等步长灰色时变参数模型,并在求解过程中引入遗忘因子以修正预测结果。模型充分考虑了预测系统的时变性和灰色性,从而降低对预测系统状态的预测误差。实例预测表明,灰色时变参数模型可以将工后总沉降量的预测误差控制在23%以内。误差检验结果显示,预测结果的精度等级较引入遗忘因子修正前有显著的提高。 相似文献
77.
Three dimensional numerical simulation of residential building on shrink–swell soils in response to climatic conditions
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Shrink–swell soils can cause distresses in buildings, and every year, the economic loss associated with this problem is huge. This paper presents a comprehensive system for simulating the soil–foundation–building system and its response to daily weather conditions. Weather data include rainfall, solar radiation, air temperature, relative humidity, and wind speed, all of which are readily available from a local weather station or the Internet. These data are used to determine simulation flux boundary conditions. Different methods are proposed to simulate different boundary conditions: bare soil, trees, and vegetation. A coupled hydro‐mechanical stress analysis is used to simulate the volume change of shrink–swell soils due to both mechanical stress and water content variations. Coupled hydro‐mechanical stress‐jointed elements are used to simulate the interaction between the soil and the slab, and general shell elements are used to simulate structural behavior. All the models are combined into one finite element program to predict the entire system's behavior. This paper first described the theory for the simulations. A site in Arlington, Texas, is then selected to demonstrate the application of the proposed system. Simulation results are shown, and a comparison between measured and predicted movements for four footings in Arlington, Texas, over a 2‐year period is presented. Finally, a three‐dimensional simulation is made for a virtual residential building on shrink–swell soils to identify the influence of various factors. Copyright © 2015 John Wiley & Sons, Ltd. 相似文献
78.
在特高等级精密工程的测量范畴内,实现对超高层建筑的施工监测是一个非常重要的工作内容,GPS实时动态监测技术在监测中发挥着不可忽视的作用。本文首先对GPS监测技术做简要阐述,并分析了超高层建筑的特点;然后指出了GPS监测技术在施工监测中所发挥的作用;最后结合案例,具体分析了GPS监测技术在超高层建筑中的应用,以期为超高层建筑GPS实时动态监测技术的相关研究提供部分参考意见。 相似文献
79.
对超高层建筑塔体进行周日摆动监测,为施工投点纠偏和选择合适投点时机提供科学依据,是施工控制网竖向传递的核心问题。文中针对现有方法在自动化采集及实时表达方面的不足,基于自适应阈值激光光斑中心定位方法,自主研发基于CCD的塔体摆动监测系统,并采用倾斜仪方法与之做同步比较研究。两种方法在广州市东塔施工第三方监测中互为检核验证,具有借鉴意义。 相似文献
80.
在短期基坑沉降监测中,由于数据量少且呈非线性变化,沉降模型很难准确建立。灰色GM(1,1)对数据少、趋势性强、波动小的数据有较高的预测精度,但不能模拟复杂的非线性函数;BP神经网络可以对非线性数据进行学习训练,具有自学习、自适应能力;通过将GM(1,1)与BP神经网络组合,并优化网络部分的学习率、权值和阈值等,建立一种改进的灰色神经网络模型,该模型具有对非线性数据自学习、自适应能力和预测精度更高等优点。通过某基坑沉降监测分析,验证改进的灰色神经网络模型预测精度更高,适合短期建模,具有很好的实用性。 相似文献