连接节点的设计是保证木-混凝土混合结构中两种材料协同工作的基础.为研究常用工程木-混凝土螺栓连接节点的力学性能及破坏模式,分别选用正交胶合木(Crosslaminated timber,CLT)-混凝土螺栓连接和云杉-松木-冷杉(Spruce Pine Fir,SPF)...连接节点的设计是保证木-混凝土混合结构中两种材料协同工作的基础.为研究常用工程木-混凝土螺栓连接节点的力学性能及破坏模式,分别选用正交胶合木(Crosslaminated timber,CLT)-混凝土螺栓连接和云杉-松木-冷杉(Spruce Pine Fir,SPF)规格材-混凝土螺栓连接作为试验对象,设计了27组单调加载试验和低周往复加载试验,归纳并对比了两类木-混凝土螺栓连接的典型破坏模式.结果表明:木-混凝土螺栓连接节点承载力大小与螺栓屈服模式相关,CLT-混凝土螺栓连接相较于SPF-混凝土螺栓连接更易发生双铰破坏,且CLT-混凝土螺栓连接具有更好的延性.基于对两类连接力学性能差异的影响机理分析,考虑钢垫板对承载力的影响,并引入CLT等效截面,提出了木-混凝土螺栓连接的承载力力学模型.计算结果与试验结果对比的平均误差为12.18%,表明计算值与试验值吻合良好,可为木-混凝土螺栓连接的设计与应用提供参考.展开更多
In rough communication, because each agent has a different language and can not provide precise communication to each other, the concept translated among multi-agents will loss some information, and this results in a ...In rough communication, because each agent has a different language and can not provide precise communication to each other, the concept translated among multi-agents will loss some information, and this results in a less or rougher concept. With different translation sequences the amount of the missed knowledge is varied. The λ-optimal translation sequence of rough communication, which concerns both every agent and the last agent taking part in rough communication to get information as much as he （or she） can, is given. In order to get the λ-optimal translation sequence, a genetic algorithm is used. Analysis and simulation of the algorithm demonstrate the effectiveness of the approach.展开更多
文摘连接节点的设计是保证木-混凝土混合结构中两种材料协同工作的基础.为研究常用工程木-混凝土螺栓连接节点的力学性能及破坏模式,分别选用正交胶合木(Crosslaminated timber,CLT)-混凝土螺栓连接和云杉-松木-冷杉(Spruce Pine Fir,SPF)规格材-混凝土螺栓连接作为试验对象,设计了27组单调加载试验和低周往复加载试验,归纳并对比了两类木-混凝土螺栓连接的典型破坏模式.结果表明:木-混凝土螺栓连接节点承载力大小与螺栓屈服模式相关,CLT-混凝土螺栓连接相较于SPF-混凝土螺栓连接更易发生双铰破坏,且CLT-混凝土螺栓连接具有更好的延性.基于对两类连接力学性能差异的影响机理分析,考虑钢垫板对承载力的影响,并引入CLT等效截面,提出了木-混凝土螺栓连接的承载力力学模型.计算结果与试验结果对比的平均误差为12.18%,表明计算值与试验值吻合良好,可为木-混凝土螺栓连接的设计与应用提供参考.
基金supported by the National Natural Science Foundation of China(61070241)the Natural Science Foundation of Shandong Province(ZR2010FM035)+1 种基金the Science and Technology Foundation of University of Jinan(XKY1031XKY0808)
文摘In rough communication, because each agent has a different language and can not provide precise communication to each other, the concept translated among multi-agents will loss some information, and this results in a less or rougher concept. With different translation sequences the amount of the missed knowledge is varied. The λ-optimal translation sequence of rough communication, which concerns both every agent and the last agent taking part in rough communication to get information as much as he （or she） can, is given. In order to get the λ-optimal translation sequence, a genetic algorithm is used. Analysis and simulation of the algorithm demonstrate the effectiveness of the approach.
