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Cao, D, Li, H and Wang, G (2014) Impacts of Isomorphic Pressures on BIM Adoption in Construction Projects. Journal of Construction Engineering and Management, 140(12).

Hanna, A S, Yeutter, M and Aoun, D G (2014) State of Practice of Building Information Modeling in the Electrical Construction Industry. Journal of Construction Engineering and Management, 140(12).

Karatas, A and El-Rayes, K (2014) Optimal Trade-Offs between Social Quality of Life and Life-Cycle Cost in Housing Units. Journal of Construction Engineering and Management, 140(12).

Ma, G, Wang, A, Li, N, Gu, L and Ai, Q (2014) Improved Critical Chain Project Management Framework for Scheduling Construction Projects. Journal of Construction Engineering and Management, 140(12).

Morley, D, Lu, M and AbouRizk, S (2014) Identification of Invariant Average Weighted Haul Distance to Simplify Earthmoving Simulation Modeling in Planning Site Grading Operations. Journal of Construction Engineering and Management, 140(12).

Ramos, N M M, Barreira, E, Simões, M L and Delgado, J M P Q (2014) Probabilistic Risk Assessment Methodology of Exterior Surfaces Defacement Caused by Algae Growth. Journal of Construction Engineering and Management, 140(12).

  • Type: Journal Article
  • Keywords: Risk assessment; Algae growth; Meta-models; Monte Carlo simulations; Construction materials and methods;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000909
  • Abstract:
    This paper presents the development of a risk assessment methodology applicable to the analysis of exterior surfaces defacement from algae growth. The specific case of external thermal insulation composite systems (ETICS) is frequently associated with a higher perceived risk if compared with other façade solutions. The design of the proposed methodology includes: the scope of the risk analysis definition, the determination of the parameters involved using a qualitative analysis of the problem, the collection of relevant data, and a quantitative probabilistic risk analysis based in Monte Carlo simulations. The detailed implementation of the methodology involved the preparation of a meta-model, response surface methodology, that was developed and compared with a hygrothermal simulation tool. The meta-model allowed a faster application of the Monte Carlo method, providing results of the methodology application to the use of ETICS in selected locations and a sensitivity analysis of the stochastic parameters.

Shapira, A and Elbaz, A (2014) Tower Crane Cycle Times: Case Study of Remote-Control versus Cab-Control Operation. Journal of Construction Engineering and Management, 140(12).