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对10.9S级M16、M20高强度螺栓和Q345B端板攻丝连接与传统高强度螺栓连接受力性能进行试验对比，研究了其在单向受拉、单向受剪以及拉-剪复合受力状态下的破坏形态、受力机理和极限承载能力。试验结果表明：单向受拉时，极限承载能力和变形与传统连接方式基本一致；单向受剪时，即使是厚径比为0.8的M20螺栓，仍可实现栓杆剪断，而端板攻丝孔内牙体无明显变形破坏且攻丝连接件形式早期滑移量明显较小；拉-剪复合受力时，随着拉剪比从0.58增大到1.73，破坏形态由剪切破坏转变为受拉破坏。因此，为确保端板攻丝牙体无明显破坏，应考虑螺栓与板厚的合理设计，建议M20螺栓在单向受拉和拉-剪复合受力时厚径比不小于0.9d，3种受力状态下高强度螺栓端板攻丝连接方式的承载力与传统连接方式基本一致。试验结果分析可为工程设计提供参考依据。

对304D不锈钢螺栓和QN1701端板攻丝连接与传统不锈钢螺栓连接的受力性能进行对比试验，研究单向受拉、单向受剪以及拉-剪复合受力状态下连接的破坏形态、受力机理和极限承载能力。试验结果表明：单向受拉时，不锈钢螺栓端板攻丝连接的极限承载力和变形与传统连接方式基本一致，但为避免发生垫片引起的连接失效，连接件开孔不应过大，且不应使用空腔墩头螺栓；单向受剪时，即使最小厚径比为0.67时，仍能满足栓杆剪断而攻丝板牙体无明显变形的破坏形态要求，考虑到试件表面未经处理，摩擦力失效快，不适用于摩擦型连接设计；拉-剪复合受力时，攻丝端板连接形式早期滑移量明显较小，极限承载力略有降低。为此，在确保牙体无明显破坏时，3种受力状态下不锈钢螺栓端板攻丝连接在承载力方面与传统连接方式基本一致，可参考现行规范进行设计；同时在受剪和拉-剪复合受力状态时，端板攻丝连接的早期滑移量明显偏小，更适用于实际工程。

以攻丝钢板高强度螺栓连接的装配式钢框架斜支撑节点静力试验为基础,采用有限元分析方法,对试验过程进行非线性数值模拟与分析。研究了此节点的受力变形机理,探讨了钢材牌号、攻丝钢板厚度、斜支撑钢板厚度、螺栓孔边距、螺栓孔端距、螺栓孔中距等因素对节点受力性能的影响。分析结果表明:随着钢材牌号的增大,节点的抗滑移能力及极限承载力有明显提升,钢材牌号宜选用Q345钢及以上;当攻丝钢板厚度超过20 mm时,其极限承载力不再明显提高,因此攻丝钢板厚度建议取0.7d0～1.0d0。研究分析的结果可为工程设计提供参考依据。

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In order to enhance the speed and accuracy of cluster scheduling for mobile robots in the medication management system, a cluster scheduling model was established using mobile robots as carriers. The scheduling coding adopted a discrete-continuous dual-mapping encoding method. In order to enhance the computational performance of the scheduling algorithm, an improved harmony search (IHS) algorithm was proposed, which integrated the optimal estimation optimization method. The algorithm combined optimal iteration and directed search for optimal scheduling search, thereby improving the computational speed and accuracy of the algorithm. Adaptive bandwidth adjustment and global random crossover mutation were performed based on the global optimum and harmony, expanding the algorithm's search range and sample diversity, thereby enhancing the algorithm's ability to search and compute the global optimal solution. Furthermore, the improved algorithm was validated on continuous intervals using standard test functions, yielding favorable results. Through comparative experiments, the results show that under identical test conditions, the proposed improved algorithm exhibits superior capability in searching for optimal solutions compared to the control algorithm, resulting in varying degrees of improvement in the accuracy of scheduling results. It is evident that the IHS algorithm effectively optimizes the performance of the automatic medication system scheduling system. [ABSTRACT FROM AUTHOR]

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