Reasonable arrangement of production scheduling of prefabricated components can reduce the production cost of prefabricated buildings.Under the precondition of considering the constraint of component production resources,theproduction scheduling optimization model of prefabricated components is established.Then,an improved discrete Grey Wolf optimization algorithm,IGWO,is designed to solve the model.Finally,it is tested in a real case,and the improved discrete gray Wolf algorithm,heuristic algorithm Palmer method and genetic algorithm are compared.The results show that the improved discrete Grey Wolf algorithm is superior to Palmer method and genetic algorithm,and can improve the production efficiency of prefabricated components after reasonable scheduling.
To better realize the control of safety risks in the construction of prefabricated buildings (PB), scientific measures were taken to rationally allocate the resources of the construction site. Firstly, the safety risk factors of PB construction were identified by the WBS-RBS method and a fuzzy Bayesian network was set up to quantify the probability of risk. Then the construction network plan was utilized to achieve the transmission between risks. Finally, the control model with the minimum safety risk loss as the objective function was established, and an improved bat algorithm (IBA) adding an inertia weight that obeys exponential decline was proposed to solve the model. The results show that IBA has better astringency and optimization accuracy, and can better find the optimal solution for the safety risk control model of PB construction, so as to achieve the optimization of safety risk.
Aiming to improve the corrosion resistance of pile foundations in sea-crossing bridges and coastal projects, a new type of glass fiber reinforced plastic(GFRP) tube confined hollow high-strength concrete (GCHHC) structure is formed by placing Prestressed high strength concrete(PHC) pipe columns inside GFRP tubes and casting highstrength interlayer concrete between them. Existing research on GFRP tube hollow concrete structures is relatively small, and most of the concrete strength is less than 60 MPa. This paper presents the axial compression tests of 6 GCHHC short columns with 3 different GFRP tube thicknesses in the range of 4 mm similar to 8 mm, the effect of the configuration of ordinary reinforcement or not in the PHC tubes columns is also examined. In this paper, the main performance aspects evaluated were the test phenomena, damage patterns, load-displacement curves and load-strain curves of the specimens. The test results show that GCHHCs have high load carrying capacity and axial deformation capacity. The specimens showed two damage modes and were closely related to the GFRP tube thickness. Increasing the thickness of GFRP tubes can significantly improve the axial compressive load carrying capacity and axial deformation capacity of the combined column. The validated finite element model is used to analyze the parameters such as the thickness of GFRP tube, the diameter of common reinforcement, and the strength of sandwich concrete, and it is found that the thickness of GFRP tube is the main parameter affecting the axial compressive load carrying capacity of the combined column. Finally, the axial compressive load capacity calculation formula for the combined column is established based on the limit equilibrium method, and its applicability is examined.
目的 探索满足老年人行为需求的寒地城市滨水建成环境特征,缓解老龄化社会下二者日益显著的矛盾.方法 以沈阳市五里河公园为研究对象,获取老年人在公园内行为需求的满意度以及对环境要素的评价,构建二者影响路径的结构方程模型,并探讨影响差异.结果 总体影响路径由高到低排序:设施适老性、景色吸引度、空间适宜性、地域独特性,其中康体设施、空间多样性、自然微气候等影响程度较高.结论 得出了寒地城市滨水建成环境对老年人行为需求的影响机制,并给出影响权重,为该类型空间规划提供理论参考和借鉴.
目的 研究隔板贯通式方钢管混凝土柱-钢蜂窝梁(DTSCFSTC-SCB)节点的抗震性能,为工程应用提供设计依据.方法 应用有限元分析软件ABAQUS对比DTSCFSTC-SCB节点与隔板贯通式方钢管混凝土柱-钢梁(DTSCFSTC-SB)节点的抗震性能,分析不同参数对其抗震性能的影响.结果 DTSCFSTC-SCB节点的承载力较DTSCFSTC-SB节点的承载力降低10％,延性系数提高6.8％;钢材强度、梁柱线刚度比对其抗震性能影响较大(25％～138％);隔板内(外)伸宽度仅在一定范围内对其延性影响较明显(13％～18％),隔板厚度仅在一定范围内对其承载力影响较明显(7％～8％),开孔率对其最大承载力、耗能能力影响较明显(4％～12％);轴压比、混凝土强度等级、含钢率、孔间距、孔壁距离对其抗震性能影响很小(1％～5％).结论 该节点具有工程可行性,钢材强度、梁柱线刚度比是影响其抗震性能的主要因素.
