|
Since the success of Au Si amorphous alloy was found by rapidly cooling in 1960, many bulk amorphous alloys have been produced and a great number of data have been published One of main studying aims about bulk amorphous alloys is to find a series of alloys with high glass forming ability, so as they can be fabricated by conventional casting or high pressure die casting techniques Based on computational materials science and database knowledge, computer aided composition design will gradually replace... Since the success of Au Si amorphous alloy was found by rapidly cooling in 1960, many bulk amorphous alloys have been produced and a great number of data have been published One of main studying aims about bulk amorphous alloys is to find a series of alloys with high glass forming ability, so as they can be fabricated by conventional casting or high pressure die casting techniques Based on computational materials science and database knowledge, computer aided composition design will gradually replace traditional “trial and error” methods to develop new bulk amorphous alloy systems The database has been assembled with a lot of documents and data about bulk amorphous alloys, has convenient inquiry, index, and modification functions In the database, these disordered data have been systemized and regularized and can be directly used by other computational programs It is conclusion that the bulk amorphous alloys database is especially helpful to research and design bulk amorphous alloys 近年来, 国际上关于大块非晶合金的研究取得了巨大的进展, 积累了大量的研究数据及资料。大块非晶材料的研制及应用的关键在于寻求具有极大玻璃形成能力的大块非晶合金系统, 以便可采用常规技术模铸成型。以计算材料科学和数据库为基础, 开展计算机辅助合金成分设计将逐渐取代传统合金系统“试差”的研究方法。大块非晶合金数据库使大量繁杂凌乱的数据呈现系统化、规律化, 涵盖大量有关大块非晶合金领域的研究数据资料及文献全文, 具有完善的功能, 方便的查询和维护, 有益于深入研究大块非晶合金及其成分设计。 In this paper, the study of concrete is hierarchically classified into four levels, viz macroscopic, mesoscopic, microscopic and nasoscopic level. The research approach and applied fields of four levels are apprehensively reviewed. It is concluded that the study of mesoscopic level for concrete materials will becom major topics in the 21st century. Thus, a new branch, computational material science of concrete, is born, which involves concrete material science, computational mechanics... In this paper, the study of concrete is hierarchically classified into four levels, viz macroscopic, mesoscopic, microscopic and nasoscopic level. The research approach and applied fields of four levels are apprehensively reviewed. It is concluded that the study of mesoscopic level for concrete materials will becom major topics in the 21st century. Thus, a new branch, computational material science of concrete, is born, which involves concrete material science, computational mechanics and computer graphics, etc. 把对混凝土断裂问题的研究分为宏观、细观、微观和纳观 4个层次 ,综述了不同层次的研究方法及适用对象 .最后指出 :混凝土细观层次的研究已成为 2 1世纪混凝土断裂问题研究的热门课题 ,并由此诞生了跨混凝土材料科学、计算力学和计算机图形学的新兴学科———混凝土计算材料科学 The goal of much research in computational materials science is to quantify necessary morphological information and then to develop stochastic models which both accurately reflect the material morphology and allow one to estimate macroscopic physical properties. A novel method of characterizing the morphology of disordered systems is presented based on the evolution of a family of integral geometric measures during erosion and dilation operations. The method is used to determine the accuracy of model... The goal of much research in computational materials science is to quantify necessary morphological information and then to develop stochastic models which both accurately reflect the material morphology and allow one to estimate macroscopic physical properties. A novel method of characterizing the morphology of disordered systems is presented based on the evolution of a family of integral geometric measures during erosion and dilation operations. The method is used to determine the accuracy of model reconstructions of random systems. It is shown that the use of erosion/dilation operations on the original image leads to a more accurate discrimination of morphology than previous methods. The goal of much research in computational materials science is to quantify necessary morphological information and then to develop stochastic models which both accurately reflect the material morphology and allow one to estimate macroscopic physical properties. A novel method of characterizing the morphology of disordered systems is presented based on the evolution of a family of integral geometric measures during erosion and dilation operations. The method is used to determine the accuracy of model recons... The goal of much research in computational materials science is to quantify necessary morphological information and then to develop stochastic models which both accurately reflect the material morphology and allow one to estimate macroscopic physical properties. A novel method of characterizing the morphology of disordered systems is presented based on the evolution of a family of integral geometric measures during erosion and dilation operations. The method is used to determine the accuracy of model reconstructions of random systems. It is shown that the use of erosion/dilation operations on the original image leads to a more accurate discrimination of morphology than previous methods.
|