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Architectural design optimization (ADO) is a subfield of engineering that uses optimization methods to study, aid, and solve architectural design problems, such as optimal floorplan layout design, optimal circulation paths between rooms, sustainability and the like.
DYNAMO (DYNAmic MOdels) is a simulation language and accompanying graphical notation developed within the system dynamics analytical framework. It was originally for industrial dynamics but was soon extended to other applications, including population and resource studies [ 1 ] [ 2 ] and urban planning.
AutoLISP is a small, dynamically scoped, dynamically typed Lisp language dialect with garbage collection, immutable list structure, and settable symbols, lacking in such regular Lisp features as macro system, records definition facilities, arrays, functions with variable number of arguments or let bindings.
Grasshopper is a visual programming language and environment that runs within the Rhinoceros 3D computer-aided design (CAD) application. The program was created by David Rutten, at Robert McNeel & Associates. [2] Programs are created by dragging components onto a canvas.
Dynamo Studio [189] – the product was replaced by Dynamo Sandbox. Autodesk TruComposites [190] Autodesk TruNest [191] Autodesk Meshmixer – though it's still available as free, the development was discontinued; [192] its technologies were merged into Fusion 360 and Netfabb. [192] [193] Netfabb Online Service – the product was merged into ...
DNADynamo is a general purpose DNA and Protein sequence analysis package that can carry out most of the functions required by a standard research molecular biology ...
Large-scale, cement-based 3D printing disposes the need for conventional molding by precisely placing, or solidifying, specific volumes of material in sequential layers by a computer controlled positioning process. [91] This 3D printing approach consist of three general stages: data preparation, concrete preparation and component printing. [92]
The Hardy Cross method is an application of continuity of flow and continuity of potential to iteratively solve for flows in a pipe network. [1] In the case of pipe flow, conservation of flow means that the flow in is equal to the flow out at each junction in the pipe.