2017
DOI: 10.1061/(asce)cf.1943-5509.0001007
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Service Life Prediction of Natural Stone Claddings with an Indirect Fastening System

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Cited by 13 publications
(9 citation statements)
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References 34 publications
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“…Final premium by household = 43.28 − 0.9 * (43.28 − 26.77) = 28.42 (13) The commercial premium for the policyholders of the case study varies between 25€ and 35€ per year. Considering the average apartment's real estate value, the yearly premium corresponds to less than 0.1% of the cost of an apartment.…”
Section: Resultsmentioning
confidence: 99%
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“…Final premium by household = 43.28 − 0.9 * (43.28 − 26.77) = 28.42 (13) The commercial premium for the policyholders of the case study varies between 25€ and 35€ per year. Considering the average apartment's real estate value, the yearly premium corresponds to less than 0.1% of the cost of an apartment.…”
Section: Resultsmentioning
confidence: 99%
“…Table 6. Fixed costs of the maintenance actions (data sourced from CYPE [19] and Mousavi et al [13]). The insurance policy proposed presents some limitations regarding the claims:…”
Section: Models' Assumptions Concerning the Coverage Of The Insurancementioning
confidence: 99%
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“…Este método foi desenvolvido inicialmente para revestimentos de argamassa, mas bons resultados foram obtidos para outros sistemas de revestimento: cerâmico (Silva, 2014;Sousa, 2008;Souza, 2016), pétreo (Mousavi et al, 2017;Silva, 2009), pintura (Chai, 2011;Santos, 2018), concreto aparente (Serralheiro et al, 2017) e ETICS (Ximenes et al, 2015). Neste estudo de caso, esta metodologia foi aplicada a fachadas com revestimento de argamassa com acabamento em pintura, sendo a severidade da degradação (Sw) obtida através da Equação (1):…”
Section: Metodologiaunclassified
“…Among them are: (i) statistical analysis [29]; (ii) simple regression analysis [30]; (iii) multiple liner regression analysis [31]; (iv) factor method [32]; (v) Markov chains [33]; and (vi) fuzzy models [34]. The information gathered from these studies proved to be fundamental to define maintenance planning, optimize the use of resources, and minimize the overall costs of the building over its service life [35]. Non-deterministic models are especially advantageous since they can capture the uncertainty associated with the subjectivity of the data collection and the natural variability of the degradation process [19][20][21]27,28].…”
Section: Introductionmentioning
confidence: 99%