Journal of Computational Intelligence in Materials Science

A Survey of Factors and Life Cycle Assessment in Selection of Green Construction Materials

Journal of Computational Intelligence in Materials Science

Received On : 27 Janaury 2023

Revised On : 25 February 2023

Accepted On : 03 April 2023

Published On : 08 April 2023

Volume 01, Issue 01

Pages : 023-033


During both the preliminary design phase, when broad, overarching decisions about the building's function and appearance are made, and the detailed construction plan level, material selection plays a crucial part in realizing the 'Green Buildings' goal (when materials present on the market are chosen). Architects and engineers responsible for making this option typically lack access to assessment tools aimed at assisting them in the selection of materials, despite the fact that this second factor is just as crucial to the actual fulfillment of 'greenness' standards. The environment is being harmed by human activities such as manufacturing, transportation, and mining. Saving the planet's natural resources has proven difficult for scientists and engineers since doing so means lowering society's performance, development pace, and standard of living. We have gone a long way in creating tools that might prevent more ecological damage and slow the depletion of vital resources. The notion of "green buildings" is based on the same idea. Increasing a building's energy efficiency utilizing green natural or renewable resources rather than non-renewable resources is a key component of green construction, according to this perspective. In this study, we discuss the criteria that should be used to pick green building materials.


Materials Selection, Green Construction, Building Materials, Life-Cycle Assessment, Zero Energy Building

  1. D. Amaripadath, R. Rahif, W. Zuo, M. Velickovic, C. Voglaire, and S. Attia, “Climate change sensitive sizing and design for nearly zero-energy office building systems in Brussels,” Energy Build., vol. 286, no. 112971, p. 112971, 2023.
  2. J. Shi, H. Li, J. Guan, X. Sun, Q. Guan, and X. Liu, “Corrigendum to ‘Evolutionary features of global embodied energy flow between sectors: A complex network approach’ [Energy 140 (2017) 395–405/11493],” Energy (Oxf.), vol. 267, no. 126526, p. 126526, 2023.
  3. P. R. Brenner, “The solar assisted ‘Intelligent’ building-a revolution in the modern low-energy constructions’ conception,” in The 22nd Convention on Electrical and Electronics Engineers in Israel, 2002, 2003.
  4. J. Zhen, Z. Xie, K. Dong, and L. Chen, “Impact of negative emotions on violations of information security policy and possible mitigations,” Behav. Inf. Technol., vol. 41, no. 11, pp. 2342–2354, 2022.
  5. W. Kim, J. S. Hong, and Y. U. K. Song, “Multi-attributes-based agent negotiation framework under incremental information disclosing strategy,” Int. J. Inf. Technol. Decis. Mak., vol. 06, no. 01, pp. 61–83, 2007.
  6. S.-Y. Lee, C.-P. Jiang, C.-K. Lee, W.-H. Huang, and Y.-C. Cheng, “Optimization of design and fatigue simulations for an electric assisted bicycle frame using uniform design and grey relational analysis,” J. Strain Anal. Eng. Des., vol. 58, no. 1, pp. 3–16, 2023.
  7. R. Dittrich, W. Katzenbeisser, and H. Reisinger, “The analysis of rank ordered preference data based on Bradley-Terry Type Models,” OR Spectr., vol. 22, no. 1, pp. 117–134, 2000.
  8. A. N. Kumar, M. Ramesha, S. Jagadha, B. Gururaj, M. S. Kumar, and K. Chaitanya, “Fuzzy rule-based fault location technique for thyristor-controlled series-compensated transmission lines,” Int. J. Fuzzy Log. Intell. Syst., vol. 21, no. 4, pp. 391–400, 2021.
  9. Y. Ni, H. Zhao, Z. Xu, and Z. Wang, “Multiple attribute decision-making method based on projection model for dual hesitant fuzzy set,” Fuzzy Optim. Decis. Mak., vol. 21, no. 2, pp. 263–289, 2022.
  10. S. A. Mohamed, N. Mohamed, R. M. Abo-bakr, and M. A. Eltaher, “Multi-objective optimization of snap-through instability of helicoidal composite imperfect beams using Bernstein polynomials method,” Appl. Math. Model., 2023.
  11. Z. Zhou, “Research on the construction of innovation and entrepreneurship education ecology circle of local applied university students——the space of creation perspective,” in Proceedings of the 2019 3rd International Seminar on Education, Management and Social Sciences (ISEMSS 2019), 2019.
  12. “The relationships among resources’ commitment reverse logistics innovation reverse logistics performance and reverse logistics cost savings: Manufacturing vs service industry,” J. Adm. Bus. Stud., vol. 3, no. 3, 2017.
  13. A. A. Agyei Boakye et al., “At the intersection of life cycle assessment and indirect greenhouse gas emissions accounting,” Int. J. Life Cycle Assess., vol. 28, no. 4, pp. 321–335, 2023.
  14. “Organic luxury makeup,” Kjaer Weis. [Online]. Available: [Accessed: 19-Apr-2023].
  15. N. G. Salini, B. G. Resmi, and R. Antony, “Biodegradable composites of waste expanded polystyrene with modified neem oil for packaging applications,” J. Elastomers Plast., vol. 53, no. 8, pp. 975–991, 2021.
  16. A. Hejna, “Renewable, degradable, and recyclable polymer composites,” Polymers (Basel), vol. 15, no. 7, 2023.
  17. F. Juveria, P. Rajeev, P. Jegatheesan, and J. Sanjayan, “Impact of stabilisation on mechanical properties of recycled concrete aggregate mixed with waste tyre rubber as a pavement material,” Case Stud. Constr. Mater., vol. 18, no. e02001, p. e02001, 2023.
  18. V. W. Y. Tam, L. Y. Shen, I. W. H. Fung, and J. Y. Wang, “Controlling construction waste by implementing governmental ordinances in Hong Kong,” Constr. Innov., vol. 7, no. 2, pp. 149–166, 2007.
  19. M. I. Sayyed, M. Almurayshid, F. I. Almasoud, A. R. Alyahyawi, S. Yasmin, and M. Elsafi, “Developed a new radiation shielding absorber composed of waste marble, polyester, PbCO3, and CdO to reduce waste marble considering environmental safety,” Materials (Basel), vol. 15, no. 23, p. 8371, 2022.
  20. F. Yasushi, “Directions of social contributions through life-cycle-assessment-related projects: A review from history and trends,” J. Life Cycle Assess. Jpn., vol. 16, no. 3, pp. 168–173, 2020.


We would like to thank Reviewers for taking the time and effort necessary to review the manuscript. We sincerely appreciate all valuable comments and suggestions, which helped us to improve the quality of the manuscript.


No funding was received to assist with the preparation of this manuscript.

Ethics declarations

Conflict of interest

The authors have no conflicts of interest to declare that are relevant to the content of this article.

Availability of data and materials

No data available for above study.

Author information


All authors have equal contribution in the paper and all authors have read and agreed to the published version of the manuscript.

Corresponding author

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution NoDerivs is a more restrictive license. It allows you to redistribute the material commercially or non-commercially but the user cannot make any changes whatsoever to the original, i.e. no derivatives of the original work. To view a copy of this license, visit

Cite this article

Zheng Huijiang Wang, “A Survey of Factors and Life Cycle Assessment in Selection of Green Construction Materials”, Journal of Computational Intelligence in Materials Science, vol.1, pp. 023-033, 2023. doi: 10.53759/832X/JCIMS202301003.


© 2023 Zheng Huijiang Wang. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.