Provides an excellent one-stop resource for understanding the most important current issues in the research and applications of fractography of glasses and ceramics.

"Proceedings of the Fourth Alfred Conference on the Fractography of Glasses and Ceramics, held July 9-12, 2000, at Alfred University, Alfred, New York."

This volume contains papers presented at The Fifth Conference on the Fractography of Glasses and Ceramics Held in Rochester, New York, July 9-13 2006. Chapters include The Fracture Process at the Crack Tip, Fundamental Phenomena, Fractography of Contact Damage in Glasses and Ceramics, Identifying and Understanding Flaws in Ceramics, Fractography of Dental and Biomaterials, Fractography of Components, and Fracture Phenomena in Geology. This text provides a useful one-stop resource for understanding the most important issues in the research and applications of fractography of glasses and ceramics.

The 8th International Symposium on fracture mechanics of ceramics was held in on the campus of the University of Houston, Houston, TX, USA, on February 25-28, 2003. With the natural maturing of the fields of structural ceramics, this symposium focused on nano-scale materials, composites, thin films and coatings as well as glass. The symposium also addressed new issues on fundamentals of fracture mechanics and contact mechanics, and a session on reliability and standardization.

This collection of 33 papers deals with mechanical behaviors associated with systems ranging from diamond reinforced silicon carbide to rare earth pyrosilicates. Presented at The Mechanical Behavior and Performance of Ceramics & Composites Symposium in January 2012 during the 36th International Conference on Advanced Ceramics and Composites (ICACC), it offers researchers from around the world the opportunity to explore new and emerging issues in all aspects of the field.

Proceedings of the July 1995 conference. The 25 contributions are arranged in the order they were presented. Topics include the VAMAS fractography round robin; European guidelines for fractography of advanced ceramics; lifetime prediction tests on commercial grades of alumina and silicon carbide; sp

A collection of Papers Presented at the 28th International Conference and Exposition on Advanced Ceramics and Composites held in conjunction with the 8th International Symposium on Ceramics in Energy Storage and Power Conversion Systems.

Proceedings of the 2nd International Conference on Fractography of Advanced Ceramics, held in Stará Lesná, Slovakia, October 3-6, 2004

The main criteria for assessing the load-bearing behaviour and risk potential of monolithic glass are its fragmentation and the morphology of the fragments. These depend strongly non-linearly on the strain energy density present in the glass at the time of fracture, which can be converted into fracture energy. Thus, the design and optimization of structural glazing in engineering requires both knowledge of the relevant parameters and mechanisms during the fracture process in glass and an understanding of the characteristics of the fracture structure. Based on fracture mechanics considerations and comprehensive experimental investigations, various aspects and physical quantities of fracture behaviour as well as characteristics and parameters of fracture pattern morphology of fragmented, tempered soda-lime glass were studied and correlated with the stored strain energy. The relationship between fragmentation behavior and strain energy was elaborated using the energy criterion in Linear Elastic Fracture Mechanics (LEFM) related to the initial strain energy before fragmentation and in the post-fracture state. Furthermore, a machine learning inspired approach for the prediction of 2D macro-scale fragmentation of tempered glass was developed and elaborated based on fracture mechanics considerations and statistical analysis of the fracture pattern morphology. A method was deduced and applied in which the fracture pattern of tempered glass is predicted and simulated by Voronoi tessellation of point patterns based on Bayesian spatial point statistics fed with energy conditions in LEFM.