个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 工业装备结构分析优化与CAE软件全国重点实验室主任、结构优化理论与应用国际联合研究中心主任
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:力学与航空航天学院
学科:工程力学. 计算力学. 结构工程. 车辆工程
办公地点:力学楼302
联系方式:0411-84707267 ligang@dlut.edu.cn
电子邮箱:ligang@dlut.edu.cn
A HYBRID GENETIC ALGORITHM AND OPTIMALITY CRITERIA METHOD FOR OPTIMUM DESIGN OF RC TALL BUILDINGS UNDER MULTI-LOAD CASES
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论文类型:期刊论文
发表时间:2010-10-01
发表刊物:STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS
收录刊物:SCIE
卷号:19
期号:6
页面范围:656-678
ISSN号:1541-7794
摘要:This paper proposes a hybrid heuristic and criteria-based method of optimum design that combines the advantages of both the genetic algorithm (GA) and the rigorously derived optimality criteria (OC) for structural optimum design of reinforced concrete tall buildings under multi-load cases based on the current Chinese design codes. The entire optimum design procedure is divided into two parts: strength optimum design and stiffness optimum design. which are performed by the GA and the OC method, respectively. The optimum reinforcement detailing, which satisfies the strength, serviceability, ductility and other constraints related to the user-specified rules and regulations in design codes, is achieved by constructing the data sets containing different available reinforcement bar diameter in a pre-specified pattern. An adaptive feasible region technique is developed to improve the efficiency of GA. Finally, a practical frame-shear-wall structure (30-storey) is optimized to illustrate the effectiveness and practicality of the proposed optimum design method. Copyright (C) 2009 John Wiley & Sons. Ltd.