Using a condition‐dependent approach to maintenance to control costs and performances

Straub, Ad

doi:10.1108/14725960310808079

Cited by 49 publications

(31 citation statements)

References 3 publications

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“…At operational level, building performance can be categorized as: Technical, functional, behavioral, aesthetic and environmental (Straub, 2003;Hovde and Moser, 2004;Lützkendorf and Lorenz, 2006;Preiser and Nasar, 2008;Yan et al, 2015).…”

Section: Building Performancementioning

confidence: 99%

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Facility managers' perceptions on building performance assessment

2018

Front. Eng

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During the operational phase, building performance may decrease in various areas, so that the end users' requirements are no longer met. Consequently, indicators are useful to assess and improve the performance of existing buildings. In this study, we carried out a literature review and organized a focus group with facility management experts to gather and analyze facility managers' perceptions on operational indicators that could be used to assess the performance of buildings. The results revealed that the core indicators used to measure a building's operational performance are related to safety and assets working properly, health and comfort, space functionality, and energy performance. The findings also revealed that these indicators can be obtained from three sources: a) facility managers/operators, who carry out corrective maintenance and perform technical inspections, b) regular users, who report complaints and fill-in satisfaction questionnaires, and c) sporadic users, who also fill-in satisfaction questionnaires. These indicators and their sources can contribute to a better analysis of building performance and the definition of measures to improve performance during the operational phase of a building.

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Section: Building Performancementioning

confidence: 99%

“…Another category can be identified as aesthetic properties. Aesthetic performance is associated with the building's image and appearance (Preiser and Nasar, 2008), which is related to the absence of surface defects, and the homogeneity of color and finishes (Straub, 2003).…”

Section: Building Performancementioning

confidence: 99%

Facility managers' perceptions on building performance assessment

2018

Front. Eng

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“…There are several methods for assessing the degradation of render facades. A visual inspection usually suffices, since parameters like "type of defects", "condition of defects" and "extent of defects" can be assessed (Straub, 2003;Rodrigues et al, 2013). In this study, the model proposed is based on a visual survey of the degradation state of 100 current external renders analysed in Portugal.…”

Section: Comment [As2]mentioning

confidence: 99%

Probabilistic transition of condition: render facades

Silva

Neves

Gaspar

et al. 2015

Building Research & Information

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A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription. The service life of cement-rendered facades is closely related to the environmental conditions that they are exposed to. The probability distribution is determined for the degradation condition of render facades considering different environmental exposures. A sample of 100 render facades was subjected to meticulous fieldwork to determine their condition. The analysis focuses on the environmental factors that most influence the overall degradation of the facades, evaluated through the condition level. Probabilistic models based on Markov chains are developed to predict the evolution of facade deterioration according to exposure to outdoor environmental conditions. The proposed model provides data on the synergy between the degradation agents and the degradation condition of render facades, the average time of permanence in each degradation level and indications of the effect of degradation on the durability of render that may be applied in the implementation and fine tuning of maintenance procedures. Better understanding the durability of render facades allows a more rational management of their maintenance, contributing to a reduction of their life cycle costs. The proposed stochastic model provides information that can be applied in the context of insurance policies, allowing an evaluation of the risk of failure of coatings. AbstractThe service life of cement-rendered facades is closely related to the environmental conditions that they are exposed to. The probability distribution is determined for the degradation condition

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“…There are various methods for evaluate the deterioration state of buildings and components that vary according to the hierarchical classification of building elements, the hierarchical classification of defects and the setting condition parameters associated with defects (Straub, 2003). Different authors (Balaras et al, 2005;Shohet et al, 1999) established classification systems or degradation scales to describe the visual and functional deterioration of the elements under analysis; usually, these systems include the classification of defects across a range of discrete variables that vary from the most favourable condition level (no visible degradation) to the most unfavourable situation (extensive degradation or loss of functionality).…”

Section: Degradation Of Stone Claddingsmentioning

confidence: 99%

Análisis probabilística de la evolución de la degradación de revestimientos en piedra con utilización de cadenas de Markov

Silva

Brito²,

Gaspar

et al. 2015

Revista de la Asociación Latinoamericana de Control de Calidad,

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The service life prediction models intend to extrapolate the future behaviour of building elements, anticipating the instant at which an intervention is required. Markov chains can be used to assess the future condition of the construction components and are applied in this study to model the service life of stone claddings (directly adhered to the substrate), based on visual inspections of buildings in service conditions. The degradation of stone claddings is evaluated using a discrete scale with five condition levels. In this study the probability of transition from degradation conditions and the time spent in each of these conditions are evaluated. This study also allows a better understanding of the influence of the exposure conditions on the evolution of degradation of the claddings under analysis. Keywords: Markov chains, Service life prediction, Stone claddings. RESUMOOs modelos de previsão de vida útil procuram extrapolar o comportamento futuro dos elementos construtivos, antevendo o momento a partir do qual é necessário intervir. As cadeias de Markov permitem avaliar a condição futura dos elementos da construção, sendo utilizadas no presente estudo, na modelação da previsão da vida útil de revestimentos pétreos (fixados directamente ao suporte), a partir de inspecções visuais de edifícios em serviço. A degradação dos revestimentos pétreos é classificada numa escala discreta composta por cinco níveis, sendo avaliada a probabilidade de transição entre condições de degradação e o tempo de permanência em cada uma dessas condições. O presente estudo permite ainda compreender a influência das condições de exposição na evolução da degradação deste tipo de revestimentos. Palavras-chave: cadeias de Markov, Previsão da vida útil, Revestimentos pétreos. RESUMENLos modelos de predicción de la vida útil intentan extrapolar el comportamiento futuro de los elementos de construcción, anticipando el punto en el que se requiere la intervención. Cadenas de Markov se pueden usar para evaluar la condición futura de los elementos de construcción y se utilizan en este estudio para modelar la vida útil de revestimientos pétreos, a partir de las inspecciones visuales de edificios en servicio. La degradación de los revestimientos pétreos se califica en una escala discreta de cinco niveles, y se evalúa la probabilidad de transición de condiciones de degradación. Este estudio también permite comprender la influencia de las condiciones de exposición en la evolución de la degradación de los revestimientos. Palabras clave: Cadenas de Markov, Predicción de la vida útil, Revestimientos pétreos.

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Using a condition‐dependent approach to maintenance to control costs and performances

Cited by 49 publications

References 3 publications

Facility managers' perceptions on building performance assessment

Facility managers' perceptions on building performance assessment

Probabilistic transition of condition: render facades

Análisis probabilística de la evolución de la degradación de revestimientos en piedra con utilización de cadenas de Markov

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