Rising global emission have led to a renewed popularity of timber in building design, including timber-concrete tall buildings up to 18 stories. In spite of this surge in wood construction, there remains a gap in understanding of long-term structural behavior, particularly wood creep. Unlike concrete, code prescriptions for wood design are lacking in robust estimates for structural shortening. Models for wood creep have become increasingly necessary due to the potential for unforeseen shortening, especially with respect to differential shortening. These effects can have serious impacts as timber building heights continue to grow. This study lays the groundwork for wood compliance prediction models for use in timber design. A thorough review of wood creep studies was conducted and viable experimental results were compiled into a database. Studies were chosen based on correlation of experimental conditions with a realistic building environment. An unbiased parameter identification method, originally applied to concrete prediction models, was used to fit multiple compliance functions to each data curve. Based on individual curve fittings, statistical analysis was performed to determine the best fit function and average parameter values for the collective database. A power law trend in wood creep, with lognormal parameter distribution, was confirmed by the results.

中文翻译：

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木材蠕变数据收集和顺从功能的无偏参数识别

全球排放量的增加导致木材在建筑设计中的重新流行，包括高达18层的木材混凝土高层建筑。尽管木材结构激增，但对长期结构行为（尤其是木材蠕变）的理解仍存在差距。与混凝土不同，木材设计的规范没有针对结构缩短的可靠估计。由于存在不可预见的起酥油的潜力，尤其是在差异起酥油方面，木材蠕变模型变得越来越必要。随着木材建筑高度的不断增长，这些影响可能会产生严重影响。这项研究为用于木材设计的木材顺应性预测模型奠定了基础。对木材蠕变研究进行了全面的审查，并将可行的实验结果汇编到数据库中。根据实验条件与实际建筑环境的相关性选择研究。一种最初用于具体预测模型的无偏参数识别方法用于将多个依从函数拟合到每个数据曲线。基于单个曲线拟合，进行统计分析以确定集合数据库的最佳拟合函数和平均参数值。结果证实了木材蠕变的幂律趋势，参数对数正态分布。进行统计分析以确定集合数据库的最佳拟合函数和平均参数值。结果证实了木材蠕变的幂律趋势，参数对数正态分布。进行统计分析以确定集合数据库的最佳拟合函数和平均参数值。结果证实了木材蠕变的幂律趋势，参数对数正态分布。