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.

In recent years, the design of new functional materials bycomputer simulations, i.e., computational material science, has beenone of important methods in the design and analysis of properties.

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

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.

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.