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Optimization of Building Components with Sustainability Aspects in BIM Environment

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Metaheuristic Optimization Algorithms in Civil Engineering: New Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 900))

Abstract

In recent decades, the variety of building materials has grown a great deal. The selection of suitable materials from a wide range of candidates is a complex and difficult problem. The main criteria to be considered in this area, besides reducing procurement cost, is paying attention to various aspects affecting the dimensions of sustainable development, such as increasing energy saving, applying recyclable materials and localization. This chapter proposes a framework in the BIM environment as one of the successful approaches in the AEC industry. This approach allows the project stakeholders to choose the most desired and optimal combination for their building components with the least human interference in the selection process.

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References

  1. Khanzadi, M., Kaveh, A., Moghaddam, M. R., & Pourbagheri, S. M. (2019). Optimization of building components with sustainability aspects in BIM environment. Periodica Polytechnica Civil Engineering, 63(1), 93–103. https://doi.org/10.3311/PPci.12551.

    Article  Google Scholar 

  2. Ashby, M. (2000). Multi-objective optimization in material design and selection. Acta Materialia, 48(1), 359–369.

    Article  Google Scholar 

  3. Huang, H., Zhang, L., Liu, Z., & Sutherland, J. W. (2011). Multi-criteria decision making and uncertainty analysis for materials selection in environmentally conscious design. The International Journal of Advanced Manufacturing Technology, 52(5), 421–432. https://doi.org/10.1007/s00170-010-2745-9.

    Article  Google Scholar 

  4. Athawale, V. M., & Chakraborty, S. (2012). Material selection using multi-criteria decision-making methods: A comparative study. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 226(4), 266–285. https://doi.org/10.1177/1464420712448979.

    Article  Google Scholar 

  5. Wu, W.-Y., Sukoco, B. M., Li, C.-Y., & Chen, S. H. (2009). An integrated multi-objective decision-making process for supplier selection with bundling problem. Expert Systems with Applications, 36(2), 2327–2337.

    Article  Google Scholar 

  6. Zhou, C.-C., Yin, G.-F., & Hu, X.-B. (2009). Multi-objective optimization of material selection for sustainable products: artificial neural networks and genetic algorithm approach. Materials and Design, 30(4), 1209–1215.

    Article  Google Scholar 

  7. Castro-Lacouture, D., Sefair, J. A., Flórez, L., & Medaglia, A. L. (2009). Optimization model for the selection of materials using a LEED-based green building rating system in Colombia. Building and Environment, 44(6), 1162–1170.

    Article  Google Scholar 

  8. Flórez, L., Castro-Lacouture, D., & Irizarry, J. (2010). Impact of sustainability perceptions on the purchasability of materials in construction projects. In Construction Research Congress 2010: Innovation for Reshaping Construction Practice 2010, pp. 1447–1456.

    Google Scholar 

  9. Hamdy, M., Hasan, A., & Siren, K. (2011). Applying a multi-objective optimization approach for design of low-emission cost-effective dwellings. Building and Environment, 46(1), 109–123.

    Article  Google Scholar 

  10. Ogunkah, I., & Yang, J. (2012). Investigating factors affecting material selection: The impacts on green vernacular building materials in the design-decision making process. Buildings, 2(1), 1–32.

    Article  Google Scholar 

  11. Akadiri, P. O., Olomolaiye, P. O., & Chinyio, E. A. (2013). Multi-criteria evaluation model for the selection of sustainable materials for building projects. Automation in Construction, 30, 113–125.

    Article  Google Scholar 

  12. Florez, L., & Castro-Lacouture, D. (2013). Optimization model for sustainable materials selection using objective and subjective factors. Materials and Design, 46, 310–321.

    Article  Google Scholar 

  13. Marzouk, M., Metawie, M., Hisham, M., Al-Sulahi, I., Kamal, M., & Al-Gahtani, K. (2014). Modeling sustainable building materials in Saudi Arabia. In Computing in Civil and Building Engineering (2014), pp. 1546–1553.

    Google Scholar 

  14. Jalaei, F., Jrade, A., & Nassiri, M. (2015). Integrating decision support system (DSS) and building information modeling (BIM) to optimize the selection of sustainable building components. Journal of Information Technology in Construction (ITcon), 20(25), 399–420.

    Google Scholar 

  15. Liu, S., Meng, X., & Tam, C. (2015). Building information modeling based building design optimization for sustainability. Energy and Buildings, 105, 139–153.

    Article  Google Scholar 

  16. Akanmu, A., Asfari, B., & Olatunji, O. (2015). BIM-based decision support system for material selection based on supplier rating. Buildings, 5(4), 1321–1345. https://doi.org/10.3390/buildings5041321.

    Article  Google Scholar 

  17. Govindan, K., Shankar, K. M., & Kannan, D. (2016). Sustainable material selection for construction industry–A hybrid multi criteria decision making approach. Renewable and Sustainable Energy Reviews, 55, 1274–1288.

    Article  Google Scholar 

  18. Dawood, M. H. (2016). BIM based optimal life cycle cost of sustainable house framework. In 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), pp. 1–5. IEEE.

    Google Scholar 

  19. Ahmad, T., & Thaheem, M. J. (2018). Economic sustainability assessment of residential buildings: A dedicated assessment framework and implications for BIM. Sustainable cities and society, 38, 476–491.

    Article  Google Scholar 

  20. Kaveh, A., & Mahdavi, V. R. (2015). Colliding bodies optimization: extensions and applications. Berlin: Springer.

    Google Scholar 

  21. Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8.

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Ali Kaveh .

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Kaveh, A., Dadras Eslamlou, A. (2020). Optimization of Building Components with Sustainability Aspects in BIM Environment. In: Metaheuristic Optimization Algorithms in Civil Engineering: New Applications. Studies in Computational Intelligence, vol 900. Springer, Cham. https://doi.org/10.1007/978-3-030-45473-9_13

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