A Methodology For The Optimal Modularization Of Building Design

To resolve this conflict a graph-based methodology is proposed that decomposes the design into non-repetitive modules that can be preassembled offsite without restricting the design in advance. In this case study the model generated a set of 11 optimal tradeoff solutions between the two optimization objectives based on planner-specified weight increments.

Simplicity Variety Product Portfolio Success

Design for quality issues in modular design Nepal et al 2006.

A methodology for the optimal modularization of building design. A three-step methodology is proposed. Tion of the modules and their interfaces. The proposed methodology is a useful tool to enhance NZEBs design and to facilitate decision making in early phases of building design.

A methodology for the optimal modularization of building design articleIsaac2016AMF titleA methodology for the optimal modularization of building design authorS. The research demonstrates that graph-based models can be use- Design. A clustering algorithm is applied on data from BIM tools for an optimal defini- Keywords.

The main research objective was establishing a simple but reliable methodology for the building design stage that would yield environmentally optimal buildings. A clustering algorithm is applied on data from BIM tools for an optimal definition of the modules. A clustering algorithm is applied to identify the modules without restricting their design in advance.

The methodology uses automated tools to represent the data on the projects design as a graph after it is exported from a BIM tool and to identify the optimal modularization of the building design according to the relative replacement rates of the components in the design. Bock and Yaniv Stoliar journalAutomation in Construction year2016 volume65 pages116-124 S. A computer program is developed to allow the automated application of Automation the methodology in large and complex projects.

Another research by Dorrah and Marzouk 33 proposed a framework for optimizing space layout planning considering building. Generally speaking the prior modularization methods either use heuristics or a single-objective optimization for example maximization of similarity index or minimization of modularization cost approach to identify the modules. The high potential of buildings towards energy efficiency has drawn.

S Isaac T Bock Y. Such modules contain components that have similar future replacement rates and a limited number of connections to other components. A graph-based methodology decomposes the design of a building into non-repetitive modules that can be preassembled offsite.

A case study was analyzed to illustrate the use of the model in identifying an optimal floor plan modularization of a 2-storey office building. Design Structure Matrix DSM 13 Function Heuristics 14 Modular Function Deployment MFD 15 and Design for Variety DfV 5 18 can be seen as the major modularization methods. The future flexibility of the building is increased.

The methodology is applied to investigate the cost-effectiveness potential for optimizing the design of NZEBs in different case studies taken as diverse climatic zones. Yi 31 formulated a grid-based methodology for generating automated space layout designs in order to optimize building energy use and indoor comfort. A graph-theoretic algorithm is used to decompose the design into modules that facilitate the future replacement of building components allowing buildings to be more easily adapted to changing user requirements.

22 lignes A methodology for the optimal modularization of building design. 1 design variable groupingfour distinct groups were recognized according to their stage of major influence production and construction operational energy maintenance to demolition and an. In this research a graph-based methodology has been developed to support modular building design.

Another study by Koenig and Knecht 32 developed two evolutionary methods based on dense packing and subdivision algorithms to optimize the generation of architectural layouts. Whereby DSM Function Heuristics and MFD concentrate on modularization Design for Variety constitutes a. The generated optimal solutions provided the planner of this case study with a wide range of tradeoffs between the two competing objectives of minimizing the total modular construction.

The research revealed that the use of BIM data for such purposes is still quite challenging requiring the writing of.

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