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While at Lockheed Missile and Space Company he worked on high speed earth penetrators designed to penetrate reinforced concrete structures buried in soil.In the early 1990’s, while working for APTEK, Inc., and as a consultant, he co-developed with Yvonne Murray the Continuous Surface Cap Model for application in the Underground Technology Program of the then-named Defense Nuclear Agency; this model is implemented in DYNA3D (Material Type 37) and in LS-DYNA Version 970 (MAT145).To achieve this goal, various storage schemes have been proposed to encode the tree structure of XML documents in flat relational tables. Basically, two classes can be identified: (1) encodings using fixed-length surrogates, like the preorder ranks in the pre/post encoding [5] or the equivalent pre/size/level encoding [8], and (2) encodings using variable-length surrogates, like, e.g., ORDPATH [9] or P-PBi Tree [12]. The course is intended for those new to concrete & geomaterial constitutive modeling, but will also be useful to those seeking a more in-depth explanation of the LS-DYNA concrete & geomaterial constitutive models covered.A significant portion of the course is devoted to understanding the types of laboratory tests and data that are available to characterize concrete & geomaterials.Len Schwer has worked on concrete & geomaterial applications, and developed constitutive models, for the past 25 years; he has been a DYNA3D user since 1983 and an LS-DYNA user since 1998.

Participants are provided with LS-DYNA input files for all examples, and Microsoft Excel workbooks containing the laboratory data for several materials including a sandy soil, Salem limestone, and two concretes.I feel like I'm starting to understand my way around CAP models.I think your course material and explanation is the kind of instructive material that leads to better productivity and understanding. This is because that this course not only cover the mathematical formulations of these geomaterial models, but also a lot of physical insights behind the various components in these models plus your wealthy experiences of using them.To achieve this goal, various storage schemes have been proposed to encode the tree structure of XML documents in flat relational tables.Basically, two classes can be identified: (1) encodings using fixed-length surrogates, like the preorder ranks in the pre/post encoding [5] or the equivalent pre/size/level encoding [8], and (2) encodings using variable-length surrogates, like, e.g., ORDPATH [9] or P-PBi Tree [12].