基于模糊推理网的高层结构智能型式优化方法与系统
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摘要
首先,给出了一种改进加权模糊推理网,建立了基于该推理网的结构性能评价过程与方法,该网兼有模糊综合评判、模糊推理与模糊推理网等算法共同优点;然后,给出了一种基于模糊综合评判的优选法,将其与六个目标级性能的评价网集成,形成了兼有性能评价与优选功能的集成推理网络系统,给出了该集成系统的网络结构图及其决策函数,同时,建立了基于上述方法的结构智能型式优化支持系统;最后,给出了工程实例,结果与实际吻合。实践表明:该方法能以直观的方式表征、存储与利用领域专家在型式优化时的知识与策略,并克服了传统基于模糊逻辑与神经网络的型式优化系统的不足,是解决具有多目标、多层次及不确定信息的型式优化问题的有效方法。
At first,an improved weight fuzzy inference network having the common algorithms' advantages of fuzzy composite evaluation,fuzzy inference and fuzzy inference network is set up and the topological structure and algorism of the network are also given.Then,an optimum selection method which based on fuzzy composite evaluation is given.With the integration of the optimum selection method with six performance evaluating networks,an integral inference network framework of performance evaluation and optimum selection decision is set up and its topological structure diagram and decision functions are also given.At the same time,the structural intelligent form-optimization support system based on the above method is also constructed.Finally,a case study of an engineering application is given,the result fits well with real engineering projects,which proves that the method presented in this paper can in an intuitive manner express,store up and make use of all kinds of information and maneuver used by domain experts.The result also proves that the method which can effectively overcome the deficiency of traditional form-optimization system based on fuzzy logic and neural network,is an effective way in solving multi-objective,multi-level and un-certain problems of structural form optimization.
At first,an improved weight fuzzy inference network having the common algorithms' advantages of fuzzy composite evaluation,fuzzy inference and fuzzy inference network is set up and the topological structure and algorism of the network are also given.Then,an optimum selection method which based on fuzzy composite evaluation is given.With the integration of the optimum selection method with six performance evaluating networks,an integral inference network framework of performance evaluation and optimum selection decision is set up and its topological structure diagram and decision functions are also given.At the same time,the structural intelligent form-optimization support system based on the above method is also constructed.Finally,a case study of an engineering application is given,the result fits well with real engineering projects,which proves that the method presented in this paper can in an intuitive manner express,store up and make use of all kinds of information and maneuver used by domain experts.The result also proves that the method which can effectively overcome the deficiency of traditional form-optimization system based on fuzzy logic and neural network,is an effective way in solving multi-objective,multi-level and un-certain problems of structural form optimization.
引文
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[11]刘晓燕.土木工程评估型专家系统开发工具与应用研究[D].哈尔滨工业大学.(LIU Xiao-yan.Re-search of Developing instrument and Its Applicationsfor Civil Engineering Evaluation Expert System[D].Harbi Institute of Technology.(in Chinese))
[2]Lucio Soibelman,Feniosky Pena-Mora.DistributedMulti-Reasoning Mechanism to Support ConceptualStructural Design[J].Journal of Structural Engi-neering,2000,126(6):733-742.
[3]赖明,扬溥.钢筋混凝土抗震结构选型的模糊综合评判[J].建筑结构学报.1996,17(8):44-51.(LAI Ming,YANG Pu.Selection of aseismic RCBuilding configurtion by multiply comprehensivefuzzy judgment method[J].Journal of BuildingStructures,1996,17(8):44-51.(in Chinese))
[4]欧进萍,张世海,刘晓燕,等.高层钢筋混凝土结构抗震选型的模糊专家系统[J].地震工程与工程振动,1997,17(2):82-91.(OU Jin-ping,ZHANG Shi-hai,LIU Xiao-yan,et al.Fuzzy expert system for deter-mination of lateral load resisting systems of RC tallbuildings in seismic regions[J].Earthquake Eng.and Engineering Vibration,1997,17(2):82-91.(inChinese))
[5]刘希拉,李楚舒.基于神经网络的高层结构体系选择[J].建筑结构学报,1999,20(5):36-41.(LIU Xi-la,LI Chu-shu.Selecting the structural system ofhigh-rise buildings based on neural networks[J].Journal of Building Structures,1999,20(5):36-41.(in Chinese))
[6]邢方亮,张世海,王光远.结构选型中基于模糊推理的评判系统[J].工程力学,2002,19(5):12-15.(XING Fang-liang,ZHANG Shi-hai,WANGGuang-yuan.Structural Evaluation Based on FuzzyInference System[J].Engineering Mechanics,2002,19(5):12-15.(in Chinese))
[7]张世海,王光远,欧进萍.高层结构抗震选型的智能评价方法[J].世界地震工程,2002,18(3):161-167.(ZHANG Shi-hai,WANG Guang-yuan,OU Jin-ping.Intelligent assessment method for aseismichigh-rise building form selection[J].World Earth-quake Engineering,2002,18(3):161-167.(in Chi-nese))
[8]张世海,欧进萍,王光远.高层结构抗震选型的集成加权模糊推理网络法[J].土木工程学报,2005,38(6):13-19.(ZHANG Shi-hai,OU Jin-ping,WANGGuang-yuan.Fuzzy inference network integratedweight method for high-rise structure Aseismic formselection[J].China Civil Engineering Journal,2005,38(6):13-19.(in Chinese))
[9]张世海,陈守兰,等.高层建筑高度限值动态调整及合理评价[J].低温建筑技术,2002(4):28-31.(ZHANG Shi-hai,CHEN Shou-lan,et al.Heightlimit rationality assessment and dynamic adjustmentin high-rise building[J].Low Temperature Archi-tecture Technology,2002(4):28-30.(in Chinese))
[10]王广军,樊水荣.建筑自振周期计算方法和实测资料手册[R].中国建筑科学研究院,1988:442-494.(WANG Guang-jun,FAN Sui-yong.ComputingMethod and real Measurement Manual about Build-ing Free-vibration Period[R].China Academy ofBuilding Research,1988:442-494.(in Chinese))
[11]刘晓燕.土木工程评估型专家系统开发工具与应用研究[D].哈尔滨工业大学.(LIU Xiao-yan.Re-search of Developing instrument and Its Applicationsfor Civil Engineering Evaluation Expert System[D].Harbi Institute of Technology.(in Chinese))
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