Quality of the surface finish of self-compacting concrete

Belmonte, Isabel Miñano; Saorín, Francisco Javier Benito; Parra, C.; Valcuende, M.

doi:10.1016/j.jobe.2019.101068

Cited by 6 publications

(3 citation statements)

References 18 publications

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“…Brodetskaia et al [19] explored the nature of finishing work flows and sought to test the proposal that product unit cycle times, labor productivity, and project durations in the finishing works of building construction can be improved by implementing pull-flow control at the level of individual production operations. Belmonte et al [20] validated an image analysis process (QSI) to evaluate the surface quality of self-compacting concrete that can be affected by trapped air holes in addition to other surface defects. Yoon et al [21] proposed the design, construction, and curing integrated management of defects in the finishing works of apartment buildings.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, the existing literature on finishing works focuses on managing the quality of finishing work in the design and construction process [18][19][20][21]. This is indirectly related to the various tasks of the maintenance phase, but there are limitations in managing the quality degradation problem of finishing components generated by various causes in the maintenance phase.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies

Cho

Lee

et al. 2021

Sustainability

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In general, the long-term maintenance planning of residential buildings is performed based on uniform repair times. However, in fact, various factors, such as the quality and user patterns, affect the performance of residential building components in the Operation and Maintenance (O&M) phase. Hence, various residential building components are repaired at uncertain times, acting as a risk for the residential building maintenance plan. Therefore, an efficient maintenance plan should be established considering maintenance uncertainty. In this regard, this study aims to analyze the uncertainty of repair times for various finishing works in residential buildings based on a probabilistic methodology and outline the implications for the establishment of efficient maintenance strategies in these buildings. Hence, 47,344 repair data for 63 buildings in 12 public residential building complexes completed between 1991 and 2001 in the Republic of Korea were used for analysis. Before the analysis, a repair time matrix was constructed by classifying the finishing works in 25 types and setting service life times to 6–26 years. The repair time distribution for each finishing work was then derived. Results confirmed that basic repair time setting can be performed and various information for reasonable maintenance decision making regarding each finishing work can be provided through a probabilistic approach. The probabilistic approach can be used as a critical decision-making method because there is uncertainty associated with the repair time of each finishing work owing to the performance degradations of various finishing works due to complex causes. Although this study focused on repair time owing to data collection limitations, maintenance strategies with strategic flexibility can be established by developing probabilistic methods that simultaneously consider frequency and cost by securing additional high-quality cost data.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies

Cho

Lee

et al. 2021

Sustainability

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“…In addition, the technical variables for each concrete element (luminosity, brightness, roughness, geometry, etc.) must be correctly analyzed before they are introduced to obtain results that correspond to reality, which impedes their application [11,30]. The detection results of image processing algorithms may be inexact due to the impact of noise, such as illumination, shadows, and combinations of several different surface imperfections [31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Development and Validation of a Novel Surface Defect Index (SDI) Method for the Effective Quality Evaluation of Concrete Surfaces

Badi,

Bensebti,

Chabane

et al. 2024

Applied Sciences

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Concrete defects have a significant impact on concrete constructions. These defects should be considered not only aesthetic defects but also structural defects. In this study, a novel Surface Defect Index (SDI) method was developed to quantify the defect volume according to liquids’ penetrating properties by applying ready-mixed plaster (RMP). The SDI refers to the volumetric proportion of all apparent and unapparent defects in a given area of concrete, and it is expressed as a percentage of the total volume affected by defects. The proposed SDI method was validated and tested under various controlled defect configurations. Regardless of the specific characteristics of each defect configuration, the SDI method consistently demonstrated a high level of consistency, repeatability, and reproducibility, with coefficients of variation (CVr and CVR) below 5% and with correlation coefficients of R2 = 0.9968. The method succeeded in assessing the surface quality levels through the SDI, demonstrating a significant correlation between this index and the volume of defects. The proposed index was tested on real concrete surfaces, affirming its efficacy in accurately quantifying the volume of surface defects; thus, it can provide an important metric for quality control. Moreover, it provides an excellent evaluation of the quality of concrete surfaces.

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Machine Learning Prediction of Residual Mechanical Strength of Hybrid-Fiber-Reinforced Self-consolidating Concrete Exposed to Elevated Temperature

Turk,

Kina,

Tanyildizi

et al. 2023

Fire Technol

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Quality of the surface finish of self-compacting concrete

Cited by 6 publications

References 18 publications

Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies

Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies

Development and Validation of a Novel Surface Defect Index (SDI) Method for the Effective Quality Evaluation of Concrete Surfaces

Machine Learning Prediction of Residual Mechanical Strength of Hybrid-Fiber-Reinforced Self-consolidating Concrete Exposed to Elevated Temperature

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