In this work, the usability of the Burger body model (BBM) for determining the behavior of oriented strand boards (OSBs) under long-term loads was evaluated. The actual bending strain data and predicted strain data as a function of different stress levels and load durations under constant environmental conditions (25 ± 2°C and 50% relative humidity) were compared. Two test groups, short-term bending tests and long-term creep-rupture bending tests, were performed according to relevant ASTM standards. Specimens were randomly assigned to three groups and loaded at 47% (132.2 kg), 51% (137.4 kg), or 55% (154.9 kg) of the mean static short-term flexural strength. Specimen creep was monitored for 10,000 h using an automated measurement system. The four-parameter BBM parameters were obtained for all specimens at 2000-h time intervals, providing five different estimates. Measured strain values were compared with strain predictions from the BBM and with the goal of evaluating length of experiment on prediction accuracy. Each stress level provided statistical differences based on the error between the actual strain and predicted strain values. Group 3 provided minimum error compared to group 1 and group 2. The 10,000 and 8000 h loading provided the most accurate predictions compared to 6000, 4000, and 2000 h of data. Overall, the longer the actual data is collected the more accurate predictions were obtained. As a result, the BBM was found useful tool for predicting the creep behavior of OSBs under different loads and load durations. It was also shown that the increased duration of practical loading minimizes the error between the prediction. Therefore, the BBM is suggested for use predicting the creep behavior of OSBs over 8000 h load durations.

在这项工作中，评估了伯格体模型（BBM）在确定长期载荷下定向刨花板（OSB）行为时的可用性。比较了在恒定环境条件（25±2°C和50％相对湿度）下，实际弯曲应变数据和预测应变数据作为不同应力水平和负载持续时间的函数。根据相关的ASTM标准，进行了两个测试组，即短期弯曲试验和长期蠕变断裂弯曲试验。将样本随机分为三组，分别以平均静态短期抗弯强度的47％（132.2 kg），51％（137.4 kg）或55％（154.9 kg）加载。使用自动测量系统监测样品蠕变10,000小时。在2000小时的时间间隔内为所有样本获得了四参数BBM参数，提供五种不同的估算值。将测得的应变值与来自BBM的应变预测进行了比较，目的是评估预测精度的实验时间。每个应力水平基于实际应变和预测应变值之间的误差提供了统计差异。与第1组和第2组相比，第3组提供的误差最小。与6000、4000和2000 h的数据相比，10,000和8000 h的加载提供了最准确的预测。总体而言，收集的实际数据越长，获得的预测越准确。结果，发现了BBM是用于预测OSB在不同载荷和载荷持续时间下的蠕变行为的有用工具。还显示出，实际载荷持续时间的增加使预测之间的误差最小。因此，