输变电工程基础混凝土长期强度分布特征研究
doi: 10.13204/j.gyjz2001411027
RESEARCH ON LONG-TERM CONCRETE STRENGTH DISTRIBUTION OF POWER TRANSMISSION AND TRANSFORMATION PROJECT FOUNDATION
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摘要: 基于耐久性可靠度设计理论,以输变电工程基础混凝土长期强度劣化特性为研究对象,通过对浙江、安徽、宁夏和青海等不同地区和不同服役时间的基础混凝土进行取芯和抗压强度试验,分析了区域和时间因素对输变电工程基础混凝土抗压强度的影响,结合概率统计理论研究了基础混凝土长期强度的概率分布规律,并基于贝叶斯统计理论采用共轭分布法对基础长期强度的分布特征参数取值进行研究。结果表明:由于侵蚀环境的不同,不同区域基础混凝土长期强度的均值有所差异;随服役时间的增长,其长期强度呈衰减趋势,且基础服役时间越长其标准差越大,强度试验值越离散;不同地区、不同服役时间、同一强度等级的基础混凝土试验样本归集后,其长期强度的概率特性服从正态分布;C15和C20级输变电基础混凝土的变异系数分别为0.25和0.26,多重因素作用下设计强度等级的提高对其长期强度增强的影响有限。Abstract: Based on reliability design theory, taking the long-term concrete strength of transmission project foundation as research object,the drilling samples which were obtained in Zhejiang,Anhui,Ningxia,and Qinghai regions were subjected to compressive strength tests,the effects of regional and time factors on transmission concrete foundation strength were studied,then the probability distribution of foundation long-term strength was researched by combining with probability and statistics theory,and based on Bayesian statistical theory,conjugate distribution method was used to study the characteristic parameter of foundation long-term strength. The results showed that due to erosive environment,the mean value of long-term strength in different regions was presented with difference; long-term strength was declined with the increase of time,the longer service time,the larger standard deviation value,and the discreteness of strength value was more obvious. When the test samples in different regions,different service life but the same strength grade were collected,the probability characteristic of long-term strength is subjected to Gaussian distributions. The variation coefficients of C15 and C20 grade concrete foundation of transmission project were 0. 25 and 0. 26,respectively,improvement of the designed strength had a limited impact on its long-term strength enhancement under the influence of multiple factors.
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Key words:
- foundation /
- concrete /
- long-term strength /
- reliability /
- probability distribution characteristics
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