Prevention for Seismic Secondary Geological Disasters and Aseismic nalysis for Rural and School Buildings in Xiamen City

2008年5月12日，我国四川省汶川县发生里氏8.0级特大地震。此次大地震造成了大量的房屋破坏，农村房屋的破坏最为严重。农村房屋抗震能力低下、抗震措施不足是最主要的原因。学校建筑在这次地震中也受到不同程度的破坏，作为公共性建筑和避难场所，这样的破坏会造成很大的损失，其根本的原因是学校建筑结构体系的缺陷。除了以上两种原生灾害外，地震次生地质灾害所带来的破坏也极为严重。 地质情况不佳、农村房屋抗震性能差、学校在役建筑抗震能力低恰恰是厦门地区存在的抗震薄弱环节，如果地震来临，也将遭受严重的破坏，厦门市这几个方面的系统研究还比较少，为此，本文针对这三个方面做了深入的研究和探讨。 本文首先分析了地震...A destructive earthquake with the seismic magnitude of 8.0 degree occrued in May 12 2008, known as Wenchuan earthquake in Sichuan Province. This severe earthquake led to the collapse and severe damage to huge numbers of buildings, especially the rural houses. The main reason is lower seismic defence capacity and deficient seismic measures. As a public building and evacuee shelter, school buildings...学位：工学硕士院系专业：建筑与土木工程学院土木工程系_结构工程学号：2532007115219

提高闽南地区农村房屋抗震能力的探讨

本文从农村房屋震害分析入手,针对闽南地区农村房屋结构特点及在抗震设防中存在的问题,提出了改善农村房屋抗震性能的具体措施。本文还就新建农村房屋的抗震设防及既有农村房屋的加固改造提出相关建议

典型框架式学校建筑的抗震性能分析

本文在研究汶川地震灾区学校建筑震害的基础上,探讨了中小学校典型框架结构即外廊悬挑式单跨框架结构的抗震性能。基于静力非线性方法,用ETABS对典型框架结构进行弹塑性分析,对不同水准下结构的出铰顺序,出铰数量,侧向位移等进行对比,得出相应的抗震性能评价,本文还对该框架结构的薄弱部位进行分析,提出加固改造的相关建议。本文的研究工作对提高学校建筑的抗震能力具有实用价值

地震次生地质灾害的分析及防治对策

本文基于对5.12汶川大地震灾后现场灾情以及灾后抢险、恢复重建工作等方面的调查,分析了地质灾害及造成这些地质灾害的原因,并通过分析,提出防治地质灾害的措施。本文还就减轻地质灾害、提高规划选址水平、增强防灾意识等提出建议,供今后在工程建设时参考

Measurement of integrated luminosity of data collected at 3.773 GeV by BESIII from 2021 to 2024

We present a measurement of the integrated luminosity e+e- of collision data collected by the BESIII detector at the BEPCII collider at a center-of-mass energy of Ecm = 3.773 GeV. The integrated luminosities of the datasets taken from December 2021 to June 2022, from November 2022 to June 2023, and from October 2023 to February 2024 were determined to be 4.995±0.019 fb-1, 8.157±0.031 fb-1, and 4.191±0.016 fb-1, respectively, by analyzing large angle Bhabha scattering events. The uncertainties are dominated by systematic effects, and the statistical uncertainties are negligible. Our results provide essential input for future analyses and precision measurements

Determination of the number of ψ(3686) events taken at BESIII

The number of ψ(3686) events collected by the BESIII detector during the 2021 run period is determined to be (2259.3±11.1)×106 by counting inclusive ψ(3686) hadronic events. The uncertainty is systematic and the statistical uncertainty is negligible. Meanwhile, the numbers of ψ(3686) events collected during the 2009 and 2012 run periods are updated to be (107.7±0.6)×106 and (345.4±2.6)×106, respectively. Both numbers are consistent with the previous measurements within one standard deviation. The total number of ψ(3686) events in the three data samples is (2712.4±14.3)×10^