Seismic fragility assessment of RC frame structure designed according to modern Chinese code for seismic design of buildings

Following several damaging earthquakes in China,research has been devoted to find the causes of the collapse of reinforced concrete(RC) building sand studying the vulnerability of existing buildings.The Chinese Code for Seismic Design of Buildings(CCSDB) has evolved over time,however,there is still reported earthquake induced damage of newly designed RC buildings.Thus,to investigate modern Chinese seismic design code,three low-,mid-and high-rise RC frames were designed according to the 2010 CCSDB and the corresponding vulnerability curves were derived by computing a probabilistic seismic demand model(PSDM).The PSDM was computed by carrying out nonlinear time history analysis using thirty ground motions obtained from the Pacific Earthquake Engineering Research Center.Finally,the PSDM was used to generate fragility curves for immediate occupancy,significant damage,and collapse prevention damage levels.Results of the vulnerability assessment indicate that the seismic demands on the three different frames designed according to the 2010 CCSDB meet the seismic requirements and are almost in the same safety level.     

山西大同市农村民居震害特征及防震对策

通过对山西大同市农村房屋抗震能力的综合研究，提出了既达到当地抗震设防要求，又符合农民建房习俗的农村民居防震对策和设计方案，指出．加强对农村民居防震工作的指导，可以有效地减轻未来地震造成的灾害损失，将会产生巨大的社会效益。     

高精度静态人口空间分布研究——以银川市西夏区为例

地震发生后，人口空间分布密度是决定救援力量部署的重要依据。然而，高精度人口空间分布数据存在获取和更新困难的问题，缺少有效的解决途径。以银川市西夏区为例，基于高空间分辨率遥感影像，通过建筑物解译与实地调查相结合的方式获取住宅建筑物信息，建立人口与住宅建筑物之间的关系模型，得到更客观真实的人口空间分布情况。研究结果表明，以高空间分辨率遥感影像解译住宅建筑物作为人口空间分布指示因子建模，得到的总体预测人口误差率为3.56%，人口平均相对误差率为9.19%，研究结果具有较高的可靠性，为震前灾害风险评估和震后灾情快速评估提供可靠的人口空间分布数据。     

Analysis of building deformation in landslide area using multisensor PSInSAR™ technique

Buildings are sensitive to movements caused by ground deformation. The mapping both of spatial and temporal distribution, and of the degree of building damages represents a useful tool in order to understand the landslide evolution, magnitude and stress distribution. The high spatial resolution of space-borne SAR interferometry can be used to monitor displacements related to building deformations. In particular, PSInSAR technique is used to map and monitor ground deformation with millimeter accuracy. The usefulness of the above mentioned methods was evaluated in San Fratello municipality (Sicily, Italy), which was historically affected by landslides: the most recent one occurred on 14th February 2010. PSInSAR data collected by ERS 1/2, ENVISAT, RADARSAT-1 were used to study the building deformation velocities before the 2010 landslide. The X-band sensors COSMO-SkyMed and TerraSAR-X were used in order to monitor the building deformation after this event. During 2013, after accurate field inspection on buildings and structures, damage assessment map of San Fratello were created and then compared to the building deformation velocity maps. The most interesting results were obtained by the comparison between the building deformation velocity map obtained through COSMO-SkyMed and the damage assessment map. This approach can be profitably used by local and Civil Protection Authorities to manage the post-event phase and evaluate the residual risks.     

A global optimization approach to roof segmentation from airborne lidar point clouds

This paper presents a global plane fitting approach for roof segmentation from lidar point clouds. Starting with a conventional plane fitting approach (e.g., plane fitting based on region growing), an initial segmentation is first derived from roof lidar points. Such initial segmentation is then optimized by minimizing a global energy function consisting of the distances of lidar points to initial planes (labels), spatial smoothness between data points, and the number of planes. As a global solution, the proposed approach can determine multiple roof planes simultaneously. Two lidar data sets of Indianapolis (USA) and Vaihingen (Germany) are used in the study. Experimental results show that the completeness and correctness are increased from 80.1% to 92.3%, and 93.0% to 100%, respectively; and the detection cross-lap rate and reference cross-lap rate are reduced from 11.9% to 2.2%, and 24.6% to 5.8%, respectively. As a result, the incorrect segmentation that often occurs at plane transitions is satisfactorily resolved; and the topological consistency among segmented planes is correctly retained even for complex roof structures.     

基于OSM Buildings生成WebGIS三维建筑日照阴影模型

随着WebGIS和图形学技术的发展,三维GIS已经成为GIS领域的主流,但现阶段发展三维GIS受成本和网速等影响,限制了三维GIS广泛运用。本文供述在ArcGIS Server平台下以HTML5为技术,运用OSM Buildings插件在Canvas渲染出建筑物三维日照阴影模型,简化WebGIS三维可视化的难度。