Topology optimisation of masonry units from the thermal point of view using a genetic algorithm

Abstract The aim of this work is to find an economic single leaf masonry wall for the building construction industry with minimised heat loss through the envelope. Lightweight aggregate concrete has the potential to offer weight reduction as well as good thermal and acoustic properties without significantly compromising the wall structural properties. The article presented here describes a search for the optimal topology of lightweight concrete masonry units according to normal thermal demands. The wall performance is measured through thermal transmittance values. The thermal behaviour of the units is calculated using three-dimensional finite element simulations. The developed topology optimisation method considers a numerical evolutionary algorithm iterating over the direct analysis performed by the finite element method. The obtained optimised topology unit will contribute towards sustainability and energy saving needs of today’s building construction industry.

[1]  Carlos Alberto Conceição António,et al.  A study on synergy of multiple crossover operators in a hierarchical genetic algorithm applied to structural optimisation , 2009 .

[2]  Carlos Alberto Conceição António,et al.  A multilevel genetic algorithm for optimization of geometrically nonlinear stiffened composite structures , 2002 .

[3]  Arnold W. Hendry,et al.  Design of Masonry Structures , 2003 .

[4]  Ossama A. Abdou,et al.  The effect of air cells and mortar joints on the thermal resistance of concrete masonry walls , 1994 .

[5]  Khalifa S. Al-Jabri,et al.  Concrete Blocks for Thermal Insulation in Hot Climate , 2005 .

[6]  İlker Bekir Topçu,et al.  Manufacture of high heat conductivity resistant clay bricks containing perlite , 2007 .

[7]  M. Poursina,et al.  Optimum pre-form dies in two-stage forging , 2006 .

[8]  F. Kreith,et al.  Principles of heat transfer , 1962 .

[9]  Ana Bastos,et al.  Methodology for the Design of Lightweight Concrete with Expanded Clay Aggregates , 2005 .

[10]  F. Incropera,et al.  Fundamentals of Heat Transfer , 1981 .

[11]  Aslihan Tavil,et al.  Thermal behavior of masonry walls in Istanbul , 2003 .

[12]  Luísa Costa Sousa,et al.  Optimisation of shape and process parameters in metal forging using genetic algorithms , 2004 .

[13]  Catarina F. Castro,et al.  Eliminating Forging Defects Using Genetic Algorithms , 2005 .

[14]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[15]  J. Z. Zhu,et al.  The finite element method , 1977 .

[16]  J. Altenbach.  Zienkiewicz, O. C., The Finite Element Method. 3. Edition. London. McGraw‐Hill Book Company (UK) Limited. 1977. XV, 787 S. , 1980 .

[17]  Tayfun Uygunoğlu,et al.  Investigation of properties of low-strength lightweight concrete for thermal insulation , 2007 .

[18]  P. J. García Nieto,et al.  Analysis and optimization of the heat-insulating light concrete hollow brick walls design by the finite element method , 2007 .