Suppr超能文献

样本砌体结构分项安全系数的校准

Calibration of Partial Safety Factors of Sample Masonry Structures.

作者信息

Zięba Joanna, Skrzypczak Izabela, Buda-Ożóg Lidia

机构信息

Department of Building Structures, Faculty of Civil and Environmental Engineering and Architecture, Rzeszow University of Technology, Poznańska 2, 35-084 Rzeszow, Poland.

Department of Geodesy and Geotechnics, Faculty of Civil and Environmental Engineering and Architecture, Rzeszow University of Technology, Poznańska 2, 35-084 Rzeszow, Poland.

出版信息

Materials (Basel). 2021 Sep 1;14(17):5003. doi: 10.3390/ma14175003.

Abstract

Technological progress in masonry structures has resulted in the creation of competitive solutions, which force the need for an ever deeper recognition of this type of structure. Masonry is a composite with heterogeneous strength properties. Therefore, the most appropriate way to accurately describe the behavior of the masonry structure under the influence of the working load are experimental research and their statistical and probabilistic analysis. This article presents a series of experimental tests carried out on real masonry structures. The results of the experiments were subjected to static evaluation, determining the most important parameter in the probabilistic analysis-the coefficient of variability of strength. The variability obtained in the experimental studies was used to determine the safety of the structure in the probabilistic method. Achieved values of coefficients of variation and safety coefficients proved to be satisfactory and adequate to the emerging technological progress in the production and embedding of masonry components.

摘要

砌体结构的技术进步带来了具有竞争力的解决方案,这就促使人们需要对这类结构有更深入的认识。砌体是一种强度特性不均一的复合材料。因此,准确描述砌体结构在工作荷载作用下行为的最合适方法是进行试验研究及其统计和概率分析。本文介绍了对实际砌体结构进行的一系列试验测试。对试验结果进行了静态评估,确定了概率分析中最重要的参数——强度变异系数。试验研究中获得的变异性用于通过概率方法确定结构的安全性。变异系数和安全系数的实测值证明是令人满意的,并且与砌体构件生产和埋设方面新出现的技术进步相适应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a976/8433744/4ee6db1307dc/materials-14-05003-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验