In case of disasters in urban areas it is important to immediately gain precise information about the constructional environment in order to react appropriately. The method is appli-cable to both API-based direct interfaces as well as open-standard building models. These analyses are performed by post-processing a single BIM model. We present an example where the design of a class of buildings – federal courthouses, is evaluated in terms of multiple analyses: programmatic spaces, building circulation, energy consumption, and preli-minary cost. By uti-lizing geometric and attribute relationships and semantics, data subsets are identified and aggregated. We outline the methods for realizing such design interoperability. The post-processing automat-ically adapts the building model to the needs of the specific analysis, where multiple analyses can be run from the same building model. We propose a system architecture to facilitate analysis and feedback in archi-tectural design, based on post-processing design-oriented building models. When dealing with multiple evaluations, this process is time consuming, greatly reducing the design benefits of BIM. Most of the effort lies in modifying the building model to support the anal-ysis required. This typically involves using a BIM tool to prepare the data for a specific type of anal-ysis to obtain design feedback. However, the current dominant approach to analysis and evaluation of design proposals requires the creation of a separate building model for each kind of evaluation. One of the significant benefits of Building Information Modeling (BIM) is the ability to effectively use analysis and evaluation programs during design, as feedback. The efficacy of the approach is demonstrated by computing well-connected midsurfaces of various real-life sheet metal parts. Using a generic logic, the patches then get connected appropriately in the iCells, resulting in a well-connected midsurface. Using owner loft feature’s parameters, sCells compute their own midsurface patches. The nodes are classified into midsurface patch-generating nodes (called ‘solid cells’ or sCells) and interaction-resolving nodes (called ‘interface cells’ or iCells). A graph is populated, with the cells at the graph nodes. The model is then decomposed into sub-volumes, called “cells” having respective owner loft features. The remaining features are then generalizedto their corresponding generic loft-feature equivalents. Here, first, the model is defeaturedby removing irrelevant features, generating a simplified shape called “gross shape”. This paper proposes an approachwhich, instead of working on the complex final solid shape, typically represented by B-rep (boundary representation), leverages feature information available in the modern CAD models for techniques such as defeaturing, generalization, and decomposition.
Thus, an automatic and robust technique for computation of a well-connected midsurface is the need of the hour.
NEMETSCHEK ALLPLAN 2012 DOWNLOAD MANUAL
These errors need to be corrected, mostly by a manual and time-consuming process, requiring from hours to even days. They result in ill-connected midsurfaces having missing patches, gaps, overlaps, etc. Existing approachesof midsurface computation are not reliable and robust. The reason being, 2D surface elements, such as “shell” elements, which need to be placed on the midsurface, provide fairly accurate results, while requiring far lesser computational resources time compared to the analysis using 3D solid elements. Computer-aided design (CAD) models of thin-walled parts, such as sheet metal or plastic parts, are often represented by their corresponding midsurfaces for computer-aided engineering (CAE) analysis.