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钢结构吊装施工方案多目标模糊优选研究 被引量:12

Research of multi-objective fuzzy optimum seeking on scheme for steel structure lifting construction
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摘要 针对施工方案优选问题,研究了国内外研究现状,发现大部分算法在实际施工中应用于计算机辅助施工决策的案例较少,降低了算法的实用性.提出了钢结构吊装施工方案评价目标体系,研究了多目标模糊优选算法在钢结构吊装施工方案优选中的应用及辅助吊装施工方案科学化决策.为了提高该算法的实用性和可靠性,结合实例探讨了判断矩阵一致性检验及改进、主客观综合赋权法等可以进一步深入研究的问题,编写Matlab程序实现了相关算法,可以存入虚拟吊装系统后台施工算法库,提高系统的智能特性.结果表明:判断矩阵一致性检验是必要的,否则会影响决策可靠性;将多目标模糊优选算法应用于钢结构吊装施工方案优选是可行的和可靠的. Researches at home and abroad working on optimum seeking of construction scheme were investigated. As a resuit, there are fewer related cases used for the computer-aided construction decision-making system in reality, so that the practicability of algorithm was reduced. A system of evaluation objectives on scheme for steel structure lifting construc- tion was proposed. Application of multi-obiective fuzzy optimum seeking algorithm in the optimum seeking of construction scheme for steel structure lifting was studied and the algorithm could assist a scientific decision on scheme for lifting construction. To perfect the practicability and reliability of the algorithm, it discussed such problems, as the examination and improvement of consistency of comparison matrix, the subjective and objective integrated approach to determine attribute weight and so on. It complied Matlab programs based on the relative algorithm and these programs can be stored into the construction arithmetic database of virtual lifting system for improving the intelligent characteristic. The results indicate that it's necessary to take the test for the consistency of comparison matrix. Otherwise, the reliability of decisions would be affected, and it is feasible and reliable to apply the multi-objective fuzzy optimum seeking algorithm to the optimum seeking of scheme for steel structure lifting construction.
出处 《西安建筑科技大学学报(自然科学版)》 CSCD 北大核心 2013年第2期275-279,291,共6页 Journal of Xi'an University of Architecture & Technology(Natural Science Edition)
基金 陕西省教育厅专项科研计划项目(llJK0967)
关键词 钢结构吊装 多目标模糊优选 施工方案优选 判断矩阵 虚拟吊装 steel structure lifting multi-objective fuzzy optimum seeking optimization of construction scheme comparison matrix virtual lifting
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