%0 Journal Article
%T A STRUCTURAL TOPOLOGY EVOLUTIONARY OPTIMIZATION METHOD BASED ON STRESSES AND THEIR SENSITIVITY<br>基于应力及其灵敏度的结构拓扑渐进优化方法
%A Rong Jianhua Jiang Jiesheng Hu Dewen Yan Donghuang Fu Junqing
%A <br>荣见华
%A 姜节胜
%A 胡德文
%A 颜东煌
%A 付俊庆
%J 力学学报
%D 2003
%I 
%X The evolutionary structural optimisation (ESO) method has been under continuous development since 1992. Originally the method was conceived from the engineering perspective that the topology and shape of structures were naturally conservative for safety reasons and therefore contained an excess of material. To move from the conservative design to a more optimum design would therefore involve the removal of material. The ESO algorithm caters for topology optimisation by allowing the removal of material from all parts of the design space. With appropriate chequer-board controls and controls on the number of cavities formed, the method can reproduce traditional fully stressed topologies, and has been applied into the problems with static stress, stiffness, displacement etc. constraints. If the algorithm was restricted to the removal of surface-only material, then a shape optimisation problem is solved. Recent research (Q. M. Quern) has presented a bi-direction evolutionary structural optimisation (BESO) method whereby material can be added and removed. But the BESO method only consider elements' stress level, does not consider the effect of an element removal or adding on the maximum stress of the optimized structure. In order to improve the BESO method, in this paper, a set of stress sensitivity is introduced and derived at first. Based on stresses and their sensitivity, a procedure for an improved bi-directional structural topology optimization is given. It is the development and modification of the conventional ESO and BESO method. Two examples demonstrate that the proposed method can reduce the solution oscillatory state number, and obtain more optimal structural topology, and it is attractive due to its simplicity in concept and effectiveness in application.
%K structural evolutionary optimization
%K structural topology optimization
%K stress analysis
%K finite analysis
%K sensitivity analysis<br>结构渐进优化
%K 结构拓扑优化
%K 有限元分析
%K 应力分析
%K 灵敏度分析
%K 结构分析
%K ESO
%K BESO
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=5D344E2AD54D14F8&jid=4100DA4A1A3BA1B0CE5AD99AE1DFB420&aid=82EB2C230C622D92&yid=D43C4A19B2EE3C0A&vid=6209D9E8050195F5&iid=94C357A881DFC066&sid=E04FC1B5BC47587B&eid=E543FC2C7CA75C74&journal_id=0459-1879&journal_name=力学学报&referenced_num=42&reference_num=8