Maintenance Planning of Pitched Roofs in Current Buildings

Morgado, João; Flores‐Colen, Inês; Brito, Jorge de; Silva, Ana

doi:10.1061/(asce)co.1943-7862.0001316

Cited by 30 publications

(27 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this methodology, four types of interventions are used in the maintenance programs: inspections, cleaning operations, minor interventions and total replacement [21,24,[34][35][36][37][38]. In inspections, visual assessment (and non-destructive tests, when necessary) is used to identify the existing anomalies and, consequently, assess the real degradation condition of the CCPR.…”

Section: Severity Of Degradation [%]mentioning

confidence: 99%

“…In terms of inspection frequency, the interval adopted between inspections varies from six months to two -years, with a mode of one year. These values are defined through a literature review [21,23]. The inspection frequency is modelled in a deterministic manner.…”

Section: Inspection Frequencymentioning

confidence: 99%

“…According to several authors [17][18][19][20], roofing systems are the building element most affected by anomalies. Roofs are subjected to different degradation mechanisms, such as exposure to extreme and variable temperatures, solar radiation, rain and snow, wind, biological and chemical agents, traffic pollution and inadequate use [16,21]. In most circumstances, the outcome of the continuous degradation in roofs is more severe than in other parts of the building, since it can lead to structural problems, compromising the roof itself, as well the remaining structure of the building and/or neighbouring buildings, and cause damage to the goods inside the building [22,23].…”

Section: Introductionmentioning

confidence: 99%

“…To assess this issue, based on the roofs' characteristics, various degradation patterns were established. Finally, Morgado et al [21] established a maintenance plan for pitched roofs in current buildings considering the deterioration agents, defects and causes that influence the durability of the maintenance-source elements (MSE) of pitched roofs. Furthermore, they proposed a methodology to rank the priority of intervention in pitched roofs based on the anomalies detected, the environmental aggressiveness, the extent and the severity of the anomaly under analysis and the degradation level of the MSE.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Maintenance Modelling of Ceramic Claddings in Pitched Roofs Based on the Evaluation of Their In Situ Degradation Condition

et al. 2020

View full text Add to dashboard Cite

Existing maintenance policies have several limitations, mainly due to the lack of knowledge regarding the durability and performance of buildings. Usually, the maintenance policies are insufficiently accurate, neglecting the risk of failure over time and the global costs associated with repairs. In this study, a condition-based maintenance model, based on Petri nets, is proposed to evaluate the impact of three maintenance strategies of ceramic claddings in pitched roofs (CCPR): MS1—only total replacement; MS2—composed of total replacement and minor intervention and MS3—composed of total replacement, minor intervention and cleaning operations. In this study, 146 CCPR were inspected in situ, with a total area of 43,991.6 m2. The remaining service life of the CCPR; the global costs over the claddings’ lifetime (considering inspection, maintenance, replacement and disposal costs); the claddings’ degradation condition and the number of replacements during the time horizon are used to evaluate the performance of the different maintenance strategies through a simplified multi-criteria analysis. The results show that the gains in performance, in terms of expected service life and durability, of the consideration of preventive maintenance actions (minor interventions or cleaning operations) outweigh the increase of the operation costs.

show abstract

Section: Severity Of Degradation [%]mentioning

confidence: 99%

Section: Inspection Frequencymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Maintenance Modelling of Ceramic Claddings in Pitched Roofs Based on the Evaluation of Their In Situ Degradation Condition

et al. 2020

View full text Add to dashboard Cite

show abstract

“…By 2005, residential buildings in Europe and private buildings in Hong Kong more than 30 years old accounted for about 70% [9] and 33.33% [10], respectively. As the performance level of buildings decreases over time [3], proper maintenance strategies are required to control the initial degradation [11] of residential buildings. In particular, it is difficult to establish proper maintenance plans for apartment buildings because they have co-owned areas such as entrance lobbies, access corridors, staircases, lifts, lighting, service ducts, and water pumps [12], unlike single-family dwellings.…”

Section: Introductionmentioning

confidence: 99%

Forecasting Repair Schedule for Building Components Based on Case-Based Reasoning and Fuzzy-AHP

2019

View full text Add to dashboard Cite

Building maintenance is closely related to the performance and sustainability of buildings. However, existing approaches to maintenance are limited in terms of estimating required repairs. Therefore, this study proposes a case-based reasoning (CBR)-based model for estimating the time when the first repair will be needed after the completion of construction, even in phases where maintenance-related information is scarce. CBR and fuzzy-analytic hierarchy process (AHP) were employed as research methodologies. A database was established by collecting 257 cases related to maintenance of apartment buildings, and attributes were extracted through literature reviews and expert interviews. Then, attributes were weighted by fuzzy-AHP and case similarities were computed by measuring the Euclidean distance. Similar cases were retrieved based on similarity scores. The model was validated via a comparison of 20 randomly selected test cases with the output of retrieved cases. The results showed that the average case similarities of 3-, 5-, 7-, and 10-nearest neighbors (NN) were 98.05%, 97.86%, 97.73%, and 97.59%, respectively, and mean absolute percentage errors for 3-, 5-, 7-, and 10-NN were mostly lower than 20%, confirming the applicability of the proposed model. The proposed method will help in the preliminary estimation of the repair time of building components.

show abstract