Multidisciplinary Concurrent Optimization Framework for Multi
The proposed multi-phase concurrent MDO framework is demonstrated by using it to design and optimize a sample office building for energy and daylighting objectives across multiple phases . Furthermore, limitations of the proposed framework and future avenues of research are listed.
The proposed multi-phase concurrent MDO framework is demonstrated by using it to design and optimize a sample office building for energy and daylighting objectives across multiple phases .
Multidisciplinary concurrent optimization
However, most of these optimization frameworks in the Architecture Engineering and Construction (AEC) field either support single- phase multidisciplinary optimization (MDO) or multi-phase single disciplinary optimization (with most of these assuming a sequential design process).
Modern day building design projects require multidisciplinary expertise from architects and engineers across various phases of the design (conceptual, preliminary, and detailed) and construction processes.
Multidisciplinary concurrent optimization framework for multi
Article " Multidisciplinary concurrent optimization framework for multi-phase building design process" Detailed information of the J-GLOBAL is an information service managed by the Japan Science and Technology Agency (hereinafter referred to as "JST"). It provides free access to secondary information on researchers, articles, patents, etc., in science and technology, medicine and pharmacy. The ...
Dive into the research topics of 'Multidisciplinary Concurrent Optimization Framework for Multi-Phase Building Design Process'. Together they form a unique fingerprint.
Multidisciplinary concurrent optimization framework for multi
AI summaries and post-publication reviews of Multidisciplinary concurrent optimization framework for multi-phase building design process. Understand articles faster and request reprints directly from authors.
Most of the building design optimization efforts are either multidisciplinary optimization (MDO) confined to just a specific design phase or single disciplinary optimization (SDO) spanning across multiple phases .
Concurrent multiscale topology optimization for size
The absence of characteristic parameters to describe this size effect hinders proper explanation through traditional multiscale topology optimization based on classical mechanics. Therefore, we propose a size-dependent topology optimization framework for concurrent multiscale design involving multiple- phase materials.
The proposed multi-phase concurrent MDO framework is demonstrated by using it to design and optimize a sample office building for energy and daylighting objectives across multiple phases . Furthermore, limitations of the proposed framework and future ave-nues of research are listed.