Hierarchical data management for structural analysis

1985 ◽  
Vol 1 (1) ◽  
pp. 45-54 ◽  
Author(s):  
Peter J. Nicklin ◽  
Graham H. Powell ◽  
Jeffery P. Hollings
Keyword(s):  
Structural Analysis ◽  
Data Management ◽  
Hierarchical Data

Another far more ancient tongue

1995 ◽  
Vol 18 (2) ◽  
pp. 385-386
Author(s):  
John Bradshaw
Keyword(s):  
Data Management ◽  
Brain Evolution ◽  
Brain Structures ◽  
General Purpose ◽  
Cognitive Modelling ◽  
Hierarchical Data

AbstractLanguage started evolving early, before gesture; commonalities of generativity between language and praxis have been over-emphasized. Language did not drive hominid brain evolution, evolving multifactorially and interactively. More than communication, it permits a cognitive modelling of reality and hierarchical data management. As the interactive sum of various cognitive and linguistic systems, and of brain structures each semi-independently evolved, it is not part of a single, general-purpose cognitive processor, nor is it a separately-evolved quasi-independent module.

scholarly journals Interpreted open data exchange between architectural design and structural analysis models

2021 ◽  
Vol 26 ◽  
pp. 39-57
Author(s):  
Goran Sibenik ◽  
Iva Kovacic
Keyword(s):  
Structural Analysis ◽  
Data Management ◽  
Architectural Design ◽  
Data Exchange ◽  
Software Tools ◽  
Classification Systems ◽  
Open Domain ◽  
Management Framework ◽  
Domain Specific ◽  
Analysis Models

The heterogeneity of the architecture, engineering and construction (AEC) industry reflects on digital building models, which differ across domains and planning phases. Data exchange between architectural design and structural analysis models poses a particular challenge because of dramatically different representations of building elements. Existing software tools and standards have not been able to deal with these differences. The research on inter-domain building information modelling (BIM) frameworks does not consider the geometry interpretations for data exchange. Analysis of geometry interpretations is mostly project-specific and is seldom reflected in general data exchange frameworks. By defining a data exchange framework that engages with varying requirements and representations of architectural design and structural analysis in terms of geometry, which is open to other domains, we aim to close the identified gap. Existing classification systems in software tools and standards were reviewed in order to understand architectural design and structural analysis representations and to identify the relationships between them. Following the analysis, a novel data management framework based on classification, interpretation and automation was proposed, implemented and tested. Classification is a model specification including domain-specific terms and relationships between them. Interpretations consist of inter-domain procedures necessary to generate domain-specific models from a provided model. Automation represents the connection between open domain-specific models and proprietary models in software tools. Practical implementation with a test case demonstrated a possible realization of the proposed framework. The innovative contribution of the research is a novel framework based on the system of open domain-specific classifications and procedures for the inter-domain interpretation, which can prepare domain-specific models on central storage. The main benefit is a centrally prepared domain-specific model, relieving software developers from so-far-unsuccessful implementation of complex inter-domain interpretations in each software tool, and providing end users with control over the data exchange. Although the framework is based on the exchange between architectural design and structural analysis, the proposed central data management framework can be used for other exchange processes involving different model representations.

Mesh Construction Dedicated to a Multi-Representation for Structure Analysis Based on an Initial Polyhedral Geometry

1997 ◽  
Author(s):  
Stéphane Maza ◽  
Jean-Claude Léon ◽  
Frédéric Noël
Keyword(s):  
Data Structure ◽  
Structural Analysis ◽  
Geometric Model ◽  
Central Position ◽  
Hierarchical Data ◽  
New Approach ◽  
Hierarchical Data Structure ◽  
Reverse Mapping ◽  
2D Space ◽  
Initial Geometry

Abstract The aim of this paper is to present the first part of a new approach devoted to the generation of a data structure and operators for the hierarchical representation of 3D polyhedra. Here are described the treatments which allow to create some of the elements of this hierarchical model. At first, partitions of the initial polyhedron are mapped into planar connex hulls. Then, these domains are used like a piecewise parametric 2D space for subsequent polyhedra generations. In order to create such a mapping, the initial 3D polyhedron is partitioned to produce simply convex subsets which can be submitted to the parametrization process. The next step consists in the generation of a minimum representation of the initial 3D polyhedron. This representation forms the root of the hierarchical data structure. Then, the mapping obtained allows the construction of various polyhedral representations of the initial geometry. Criteria related to 3D parameters are used to generate the range of polyhedra. The reverse mapping (from 2D to 3D) helps reduce the computing cost required to generate 3D polyhedra. Each 3D polyhedron generation is carried out under 3D geometric criteria depending on the context. i.e.: structural analysis, levels of details of a geometric model, ... Among the goals of the hierarchical data structure, the unification and the inter dependency of the meshes required to carry out the structural analysis of a part occupies a central position.

Structural analysis of the surface-layer protein of spirillum serpens by high-resolution electron microscopy

1983 ◽  
Vol 41 ◽  
pp. 738-739
Author(s):  
W. H. Wu ◽  
R. M. Glaeser
Keyword(s):  
Electron Microscopy ◽  
Surface Layer ◽  
Structural Analysis ◽  
High Resolution ◽  
Low Dose ◽  
High Resolution Electron Microscopy ◽  
Optical Diffraction ◽  
Surface Layer Protein ◽  
Morphological Unit ◽  
Resolution Electron

Spirillum serpens possesses a surface layer protein which exhibits a regular hexagonal packing of the morphological subunits. A morphological model of the structure of the protein has been proposed at a resolution of about 25 Å, in which the morphological unit might be described as having the appearance of a flared-out, hollow cylinder with six ÅspokesÅ at the flared end. In order to understand the detailed association of the macromolecules, it is necessary to do a high resolution structural analysis. Large, single layered arrays of the surface layer protein have been obtained for this purpose by means of extensive heating in high CaCl2, a procedure derived from that of Buckmire and Murray. Low dose, low temperature electron microscopy has been applied to the large arrays.As a first step, the samples were negatively stained with neutralized phosphotungstic acid, and the specimens were imaged at 40,000 magnification by use of a high resolution cold stage on a JE0L 100B. Low dose images were recorded with exposures of 7-9 electrons/Å2. The micrographs obtained (Fig. 1) were examined by use of optical diffraction (Fig. 2) to tell what areas were especially well ordered.

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