| 基于蒙特卡洛模拟预测正交胶合木（CLT）顺纹抗压强度 |
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| 引用本文： | 龚迎春,叶琦,武国芳,任海青,管成.基于蒙特卡洛模拟预测正交胶合木（CLT）顺纹抗压强度[J].西北林学院学报,2020,35(6):234-237. |
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| 作者姓名： | 龚迎春 叶琦 武国芳 任海青 管成 |
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| 作者单位： | （1.中国林科院 林业新技术研究所，北京 100091；2.北京林业大学，北京 100083；3.中国林科院 木材工业研究所，北京 100091） |
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| 摘 要： | 基于《木结构试验方法标准》测试锯材和正交胶合木（CLT）顺纹抗压强度，采用正态分布、对数正态分布、威布尔分布函数进行数据拟合，利用K-S检验判断拟合优度，基于复合层板理论利用蒙特卡洛模拟预测CLT顺纹抗压强度。结果表明，CLT和锯材的顺纹抗压强度平均测试值分别为39.96 MPa和30.41 MPa；采用威布尔分布的拟合优度最高；CLT抗压强度的预测值与实测值相对误差在8%以下，采用蒙特卡洛模拟数据预测CLT顺纹抗压强度平均值和5%分位值的相对误差分别为5.8%和-0.8%，具有更高预测准确性。
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| 关 键 词： | 正交胶合木 顺纹抗压强度 概率分布 蒙特卡洛模拟 |
Prediction of the Compressive Strength of Cross-laminated Timber Based on Monte Carlo Simulation |
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| GONG Ying-chun,YE Qi,WU Guo-fang,REN Hai-qing,GUAN Cheng. Prediction of the Compressive Strength of Cross-laminated Timber Based on Monte Carlo Simulation[J].Journal of Northwest Forestry University,2020,35(6):234-237. |
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| Authors: | GONG Ying-chun YE Qi WU Guo-fang REN Hai-qing GUAN Cheng |
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| Institution: | (1.Research Institute of Forestry New Technology,Chinese Academy of Forestry,Beijing 100091,China; 2.Beijing Forestry University,Beijing 100083,China; 3.Research Institute of Wood Industry,Chinese Academy of Forestry,Beijing 100091,China) |
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| Abstract: | Based on the national standard of China,GB/T 50329-2012“Standard for Test Methods of Timber Structures”,the ultimate compressive strength parallel to grain of lumber and cross-laminated timber (CLT) was tested.The normal distribution,lognormal distribution and Weibull distribution functions were adopted to fit the test results.K-S test was used to determine the most consistent probability distribution.The compressive strength of CLT was predicted by using Monte Carlo simulation method (MCS) based on the composite laminate theory.The study results showed that the values of average compressive strength of CLT and timber were 39.9 MPa and 30.41 MPa,respectively.Weibull distribution had the highest goodness of fit.The relative error between the prediction value and measured value of compressive strength of CLT was under 8.0%.There was higher predictive accuracy of CLT’s compressive strength by using MCS method,whose relative error of average value and 5% percentile value were 5.8% and -0.8%,respectively. |
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| Keywords: | cross-laminated timber compressive strength parallel to grain probability distribution Monte Carlo simulation |
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