宽角相机低空航测的精度分析

首先从理论上对低空航测精度与相机像场角的关系进行了定量分析,得出低空航测应尽可能使用宽角相机的结论;接着指明了单镜头相机扩大像场角的局限和现有市场上的组合宽角相机因重量过大而不适用于低空轻荷载无人机的不足,阐述了作者研制的具有自检校自稳定功能的组合宽角低空轻小型相机的特点,尤其是实现组合成像静态误差和动态误差自检校的技术原理;针对大比例尺测图的实践,提出通过宽角相机大重叠航空摄影提高低空航测精度的技术建议;最后用典型工程生产数据验证了上述理论分析的正确性。     

中国古典叙事文学的时空叙事数字模型研究——以《李娃传》为例

文学制图作为一种再现文学空间的文学地理研究方法,能将历时性叙事与共时性空间进行相互映射,但是过往的实践案例往往受限于单一的研究视角,忽略了二者内部的整体性互动关系及其与外部时空的联系。为了促使文本中的线性叙事与并置空间作为整体概念而服务于当代的文学制图实践活动,本文依据巴赫金文学时空体中的历史时空、文本时空和读者时空的概念提出了一个叙事时空数字模型,并以唐传奇小说《李娃传》为文学制图实践案例,可视化再现了这个以唐长安为中心的爱情故事。在融合了计算叙事和地理叙事研究路径的基础上,本文对叙事文本所蕴含的顺序的、多维的和背景性的信息,进行了语义提取、语义的时空循环映射和“时间—时空—空间”的叙事再现,从而呈现叙事的语言线性、体验性和意义性的特征。该模型以开放的和可对话的框架帮助当代人理解古典文学叙事及其地方性历史语境,同时将拓展从宏观、微观的角度以沉浸式方式对地方（place）进行叙事的潜力。     

地面气温观测系统设计与实验研究

为提高大气温度测量的准确度,本文设计了一种新型地面气温观测系统并推导了相应的辐射误差修正方程。首先,利用计算流体动力学（CFD）方法对该测温系统进行结构优化设计以及辐射误差量化计算。然后,利用BP神经网络算法拟合可针对多变量变化的辐射误差修正方程。最后,以076B型强制通风测温仪器的测量值作为温度基准,验证该测温系统的测温精度。实验结果表明,该新型地面气温观测系统的测量值与基准温度的均方根误差（RMSE）和绝对误差（MAE）分别为0.031 ℃和0.041 ℃。     

Applications of numerical modelling in underground mining and construction

Numerical modelling has been used to investigate a variety of problems in underground mining and tunnelling: subsidence induced by longwall coal mining; stresses generated when an open stope is filled cemented backfill and the stability of exposures created during subsequent mining of adjacent stopes; the interaction of two tunnels; and the effects of under-mining a pre-existing tunnel and shaft. In each case, results from nonlinear stress analyses can be used to guide the design of excavations and rock support mechanisms.     

长时效的正压原始方程能量完全守恒(拟)谱模式

遵循误差反演补偿新计算原理,对正压原始方程传统气象全球拟谱模式方案进行了改造,构造了正压原始方程能量完全守恒全球拟增模式新计算方案,解决了正压原始方程的（非线性）计算稳定性问题和能量守恒整体性质保持问题,改进了相应正压原始方程传统气象全球拟谱模式方案的计算效能。新方案的数值试验表明：在计算实践上,新方案在解决能量守恒问题的同时,可解决（非线性）计算稳定性问题,并在一定条件下可解决非线性计算收敛性问题。进一步的比较数值试验还表明：在计算实践上,新方案具有在提高相应传统气象方案的计算精度,减少其计算量的同时,延长其计算时效,解决其中一类特定“气候漂移”问题方面的效用。本工作原理也适用于斜压原始方程情形。     

水工地下大洞径断面开挖轮廓线监理检测

隧洞断面开挖放样是直接为施工服务的,而检测工作是监理人员必须的工作。监理人员结合测量仪器和计算工具,依据具体的施工图纸进行隧洞断面开挖检测验收,检查开挖断面尺寸,核定超挖部分回填混凝土量。本文就海原县石峡口水库水工建筑物地下大洞径隧洞断面开挖后的检测计算方法作了论述,找出了解决该问题的办法,希望为类似工程监理及施工工作起到抛砖引玉的作用。     

Quantifying flow resistance in mountain streams using computational fluid dynamics modeling over structure-from-motion photogrammetry-derived microtopography

Flow resistance in mountain streams is important for assessing flooding hazard and quantifying sediment transport and bedrock incision in upland landscapes. In such settings, flow resistance is sensitive to grain-scale roughness, which has traditionally been characterized by particle size distributions derived from laborious point counts of streambed sediment. Developing a general framework for rapid quantification of resistance in mountain streams is still a challenge. Here we present a semi-automated workflow that combines millimeter- to centimeter-scale structure-from-motion (SfM) photogrammetry surveys of bed topography and computational fluid dynamics (CFD) simulations to better evaluate surface roughness and rapidly quantify flow resistance in mountain streams. The workflow was applied to three field sites of gravel, cobble, and boulder-bedded channels with a wide range of grain size, sorting, and shape. Large-eddy simulations with body-fitted meshes generated from SfM photogrammetry-derived surfaces were performed to quantify flow resistance. The analysis of bed microtopography using a second-order structure function identified three scaling regimes that corresponded to important roughness length scales and surface complexity contributing to flow resistance. The standard deviation σ_z of detrended streambed elevation normalized by water depth, as a proxy for the vertical roughness length scale, emerges as the primary control on flow resistance and is furthermore tied to the characteristic length scale of rough surface-generated vortices. Horizontal length scales and surface complexity are secondary controls on flow resistance. A new resistance predictor linking water depth and vertical roughness scale, i.e.  H/σ_z, is proposed based on the comparison between σ_z and the characteristic length scale of vortex shedding. In addition, representing streambeds using digital elevation models (DEM) is appropriate for well-sorted streambeds, but not for poorly sorted ones under shallow and medium flow depth conditions due to the missing local overhanging features captured by fully 3D meshes which modulate local pressure gradient and thus bulk flow separation and pressure distribution. An appraisal of the mesh resolution effect on flow resistance shows that the SfM photogrammetry data resolution and the optimal CFD mesh size should be about 1/7 to 1/14 of the standard deviation of bed elevation. © 2019 John Wiley & Sons, Ltd.     

关于土层地震反应分析中阻尼矩阵建模方式的讨论

阻尼矩阵的选择对土层时域内地震反应计算的准确性有重要意义。本文构造了质量比例阻尼、刚度比例阻尼、Rayleigh阻尼、Caughey阻尼和Clough阻尼矩阵,研究各阻尼对土层地震反应分析精度的影响。以苏通大桥5号桥塔基础处的工程场地为例,分别以人工合成基岩波,Northridge波、Parkfield波和汶川波为输入,得到不同阻尼模型下土层的地震反应,结果表明Clough阻尼在计算精度和误差稳定性上要优于其他阻尼模型,针对Clough阻尼的不足之处提出了改进方法,算例表明改进后的Clough阻尼能在保证计算精度的前提下减少计算机的存储量和计算量。     

基于社会感知计算的游客时空行为研究

在情景感知、大数据、移动互联网和物联网发展的大背景下,迎合社会感知计算发展的趋势,探讨旅游社会感知计算内涵及其应用。在分析了现实地理世界、游客行为研究和社会感知计算之间关系的基础上,探讨旅游管理、传感器、游客活动和推理机的相互作用,构建了四位一体的游客行为社会感知计算概念模型。同时以西安国内游客为例,在新浪微博数据的支持和旅游社会感知计算框架下,探讨西安国内游客的时空共现和旅游流空间转移,探明了游客之间的相互关系和旅游空间行为及旅游流空间网络特征,为游客行为研究提供了思路和借鉴。同时在目前社会感知计算研究进展的基础上,展望了旅游社会感知计算未来的发展方向。     

Development and validation of nonlinear computational models of dispersed structures under strong earthquake excitation

Structural health monitoring of large multispan flexible bridges is particularly important because of their important role in civil infrastructure and transportation systems. In this study, the response of the Yokohama Bay Bridge (YBB), a three‐span cable‐stayed bridge, to the 2011 Great East Japan Earthquake is used to perform multi‐input multi‐output system identification studies. The extensive multicomponent measurements are also used to develop and validate data‐driven nonlinear mathematical models that can predict the response of YBB to various earthquake records and can accurately estimate its damping characteristics when the system is driven into the nonlinear response range. A combination of least‐square (parametric) and neural network (nonparametric) approaches is used to develop the mathematical models, along with time‐marching techniques for dynamic response calculations. It is shown that the nonlinear mathematical models perform better than the equivalent linear models, both for response prediction and damping estimation. The importance of having an accurate approach for quantifying the damping due to the variety of nonlinear features in the YBB response is shown. This study demonstrates the significance of constructing robust mathematical models that can capture the correct physics of the underlying system and that can be used for computational purposes to augment experimental studies. Given the lack of suitable data sets for full‐scale structures under extreme loads, the availability of the long‐duration measurements from the 2011 Great East Japan Earthquake and its many strong aftershocks provides an excellent opportunity to perform the analyses presented in this study. Copyright © 2013 John Wiley & Sons, Ltd.