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Safety of Floor Surfaces in Public Service Buildings: Portable Slip Testers

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25 November 2023

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29 November 2023

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Abstract
The occurrence rate of occupational accidents caused by slipping and falling is 50% worldwide. Determining the slip safety risk is necessary to minimize the accidents caused by slipping in pedestrian walking areas. By on-site testing, this study aims to determine the slip risks of floor coverings used in walking areas with many pedestrians in public service buildings (PSB). For this purpose, on-site measurements were performed in two environments and six locations in PSB using portable GMG 200 and pendulum testers operating according to DIN 51131 and TS EN 14231 standards. These tests were performed on four-floor coverings with polished surface treatment in PSB. Since the floor coverings measured have a polished surface, it can be seen that the dynamic friction coefficients (DCOF) values are very low, and the slip risks are high. By statistically analyzing the slip test data using the K-means method, a new safety classification was made according to the usage areas of floor coverings. To minimize the risk of slip safety, especially for students, patients, and employees in PSB, it is recommended to use floor coverings with high DCOF values and low slip risk.
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1. Introduction

Today, a public service building is designed to fulfill a defined function, such as a hospital, education, police station, courthouse, museum theatre, cinema, social service, library, pharmacy, place of worship, and banking. Such service buildings should allow people with disabilities, especially those using wheelchairs, orthopedic crutches, canes, or assistive devices, to move safely in any footwear [1,2]. Apart from their basic aesthetic value, the number of steps, width, and design of these buildings, stairs, and corridors serving the public space should meet the specific needs of older and disabled people [3,4,5].
Slips and trips are common in daily life and in the workplace [6,7]. Accidents caused by slipping have increased in importance, especially in industrial areas, restaurants, shops, and public buildings [8,9,10]. The surface of the flooring materials used in buildings should be non-slip [11,12]. It has become crucial to determine the slip risk assessment of material surfaces used as floor coverings [13,14]. Slip resistance is caused by the interaction between the shoe sole and the surface of the floor covering material. The slip resistance of the floor surface is influenced by ambient conditions, color contrast, lighting type, and angle of incidence [15]. The extent of slip safety and resistance is assessed by users by measuring the static and dynamic coefficient of friction (COF) [16,17,18].
Surface slip resistance must be minimal in industries producing surface coating materials. In addition to the decorative and aesthetic qualities of the surface coating materials used on floors, great importance is attached to their mechanical properties. Ceramic tiles and natural stones tested under dry, wet, and oily conditions are used on raw, polished, honed, and aged surfaces [19,20]. Research has also been conducted under various ambient conditions (oil, milk, wine, water, glycerol, and diesel industrial oil) [21].
A new slip safety risk scale for safer movement of pedestrians on ground surfaces has been identified [14]. Slip safety was determined by analyzing the slip resistance of floor coverings in health-related tests [22]. Footwear manufacturers also demand to determine the slip resistance properties on different floor surfaces. Because slip friction occurs between the shoe and the floor surface, research has been conducted on the slip resistance of shoe soles [23,24]. In addition, slip resistance assessment inside and outside buildings forms part of the slip safety scope [15]. It is assessed in terms of compliance with regulations and tests conducted as part of cheques by independent organizations [25].
Research into the reduction of slip risk remains essential to improve slip safety. Research to improve this parameter is carried out in the field of surface and footwear design and the development of measurement methods that consider the effect of wear on the surface [26,27,28]. This study employs the K-means method to categorize floor surfaces utilized within Public Service Buildings (PSB), specifically in pedestrian zones characterized by high foot traffic. The analysis is conducted under diverse conditions, encompassing various slip test methodologies and environmental factors. The primary objective is to discern and evaluate the slip safety risks associated with the different floor surfaces present in these bustling areas, where multiple pedestrians traverse regularly.

2. Materials and Methods

2.1. Materials used in experimental studies

Natural stone, ceramic, laminate, and PVC floor coverings of different types and properties, especially natural stone, are used as floor coverings in public and closed areas, especially in public buildings. Especially in PSB, polished surfaces, and glossy materials are used and preferred as floor coverings to be attractive and look more beautiful. Dynamic friction coefficients should be determined to minimize accidents caused by slipping, and safety classification should be made. For this purpose, in situ dynamic friction coefficients of floor surfaces were measured in thirty different public institutions in Sivas Province and six different locations in each institution under dry and wet conditions. Table 1 identifies public service buildings, zones, environmental conditions, surface materials and portable test methods.

2.2. Portable slip meter

In this study, slip resistance measurements were conducted utilizing the GMG 200 and Pendulum testers. The GMG 200 tester, designed and manufactured by the German GTE company in accordance with the DIN 51131 standard [29], was employed for its widespread use in numerous European countries owing to its portability and incorporation of advanced mechanical and electronic measurement techniques, as depicted in Figure 1.
The GMG 200 tester determines the dynamic coefficient of friction of the floor by utilizing a measuring apparatus that simulates a shoe pad. The device automatically recognizes the coded measuring apparatus, and the measurement value is recorded through the integrated control unit, as illustrated in Figure 2
Furthermore, the slip resistance of the floor coverings was evaluated using WESSEX's S885 pendulum testers, adhering to the specifications outlined in TS EN 14231 standards [30]. This particular tester, displayed in Figure 3, gauges the friction force between the floor surface and a specialized measuring apparatus.
The deployment of these two distinct testing methodologies allows for a comprehensive assessment of the slip resistance characteristics of the floor surfaces under investigation. The GMG 200 tester, recognized for its portability and versatility, offers a dynamic coefficient of friction measurement, while the WESSEX pendulum tester, designed in compliance with international standards, provides a reliable evaluation of friction forces. The integration of these testing devices enhances the robustness and reliability of the slip resistance measurements conducted in this study.

2.3. Statistical analysis

In this study, the K-Means Clustering (KMC) methodology was implemented, employing DCOF values derived from slip tests. K-Means, a non-hierarchical clustering technique, offers distinct advantages when confronted with a substantial volume of units necessitating classification. Within this framework, a predetermined number of clusters is established [31]. The KMC method emerges as one of the most widely employed algorithms for organizing geometric points, involving an iterative redefinition of centers until achieving algorithmic stability. The K-Means algorithm in Rd categorizes a set of X points in n into k clusters. Initially, the clustering center is positioned in Rd. Subsequently, each data point is assigned to the cluster with the closest center. The recalculated position of a center is determined as the mean of the points assigned to it [32].

3. Results

Slip test measurements were performed in 30 public institutions with a portable GMG 200 and pendulum tester. DCOF values were determined on floor surfaces such as natural stone, PVC, ceramic, and laminate in six regions in dry and wet environments. DCOF values were analyzed using the K-means method and classified into five clusters. Because of this analysis, a safety slip risk scale was determined (Table 2).
In the slip tests conducted, the floor surfaces commonly preferred within PSB were selected for evaluation. Subsequently, the DCOF values obtained from these tests underwent statistical analysis through the application of Analysis of Variance (ANOVA). The outcomes of the ANOVA for DCOF values, stratified by PSB, are presented in Table 3. The DCOF measurements conducted on portable test devices employed a one-way analysis of variance, incorporating a randomized experimental design with a comprehensive factorial structure (30 PSB x 2 Environmental Conditions x 6 Zones x 2 Slip Test Methods x 4 Floor Surfaces x 5 Replicate Data). This experimental design yielded a total dataset of 14,400 data points from the slip tests. Statistical analyses revealed a significant difference (p < 0.001) in the DCOF values among different PSB. In other words, the DCOF values exhibited variations across PSB, emphasizing the influence of the specific institutional context on slip resistance. This statistical distinction underscores the importance of considering the unique characteristics of individual state institutions when assessing and implementing measures to enhance floor slip safety.
There was a difference (p<0.001) in the DCOF values according to usage areas, environmental conditions, slip test methods, and surface materials. In other words, the DCOF values differ among usage areas, environmental conditions, slip test methods, and surface materials. The results of the analysis of the variance of DCOF values according to regions, environmental conditions, slip test methods, and surface materials are given in Table 4. A statistically significant effect exists between the DCOF values of floor coverings used by PSB and regions, environmental conditions, slip test methods, and floor surfaces.
Measurements were made at the main entrance, corridor, stairs, rooms, kitchens, sinks, and toilets in dry and wet environments using slip test equipment in PSB. Figure 4 shows the mean values of DCOF (μ) in dry and wet conditions according to different occupancy areas for PSB. The mean standard deviation for dry and wet conditions and areas of use was in the range of 0.001–0.13 μ. In the pharmacy room, the lowest DCOF was obtained with a value of 0.14 μ in wet conditions. The highest DCOF was obtained with a value of 0.50 μ in the dry environment at the university entrance. The lowest DCOF value was obtained at the pharmacy in wet environments, whereas the highest values were obtained at the university in dry environments.
The mean values of DCOF (μ) in the slip test methods according to different areas of use for PSB are given in Figure 5. The reproducibility of these mean, and standard deviation values in the areas of use with slip test methods was found to be in the range of 0.001–0.14 μ. The lowest DCOF was obtained with a value of 0.18 μ in the PSM-2 method in pharmacies' bathrooms and toilets. The highest DCOF was obtained at the school entrance with a value of 0.52 μ in the PSM-1 method. The lowest DCOF value was obtained in pharmacies using the PSM-2 method, whereas the highest values were obtained in schools using the PSM-1 method.
The mean values of DCOF (μ) in surface materials according to different usage areas for PSB are shown in Figure 6. The reproducibility of these mean and standard deviation values of surface materials and usage areas were found to be in the range of 0.001–0.13 μ. The lowest DCOF was obtained with a value of 0.21 μ for ceramic surface materials in pharmacies' bathrooms and toilet areas. The highest DCOF was obtained with a value of 0.43 μ in natural stone surface materials at the university entrance. The lowest DCOF value was obtained in the pharmacy for ceramic surface materials from PSB, whereas the highest values were obtained in the university for natural stone surface materials.
The DCOF values were determined according to DIN 51131 and TS EN 14231 standards in dry and wet environments on different floor surfaces in PSB. While there is no safety classification according to the DCOF values obtained in the DIN 51131 standard, there is a safety class according to the slip resistance values in the TS EN 14231 standard. Only the Wuppertal classification is accepted by the German Accident Insurance Association as a safety class. This study will consider both standards and a new classification will be made according to the DCOF values.
According to the portable testing machine, the slip risk in the Wuppertal classification was determined in five clusters. Using the K-means method, the slip safety risk scale was classified into five clusters ranging from 0.11 to 0.59. Table 5 shows the slip safety risk classification according to the DCOF values.
Table 5 shows that the floor surfaces used in pharmacies and schools are classified as hazardous due to DCOF values less than 0.20 μ in wet environments and the PSM-2 method. In PSB, it is generally classified as conditionally safe because of DCOF values ranging between 0.33 and 0.45 μ in wet environments and unsafe because of DCOF values ranging between 0.20 and 0.33 μ. In PSB, it is generally classified as safe in dry environments because of DCOF values between 0.45 and 0.58 μ.

4. Discussion

In this study, DCOF values were assessed under both dry and wet conditions through various slip-test methodologies applied to the flooring surfaces employed in PSB. The DCOF values obtained from diverse floor surfaces were subjected to analysis using the K-means method, leading to their classification into five distinct clusters. Subsequently, a novel slip safety risk scale was established based on these findings.
The soil surfaces were categorized based on their slip resistance, considering the DCOF values in accordance with the established slip risk scale. Natural stone slabs were subject to classification concerning their slip resistance values on various surfaces, employing the risk scale advocated by the ramp tester DIN 51131 standard and the pendulum tester TS EN 14231 standard [29,30]. The study results revealed that natural stone slabs exhibit diminished slip resistance and heightened slip potential in dry environments, particularly on polished surfaces as opposed to wet environments. Consequently, it was recommended to utilize honed and aged surfaces, characterized by lower slip resistance, in wet environments [33,34,35]. Researchers further devised a novel safety slip scale based on COF (Coefficient of Friction) values derived from ramp and pendulum tests, employing the K-means method [36].
In this investigation, a novel slip safety risk scale was established, taking into account slip test apparatus, the K-means method, and DCOF values. Consequently, measurements conducted on natural stone, laminate, PVC, and ceramic floor surfaces within PSB indicated that DCOF values were lower, and slip risk was higher in wet environments compared to dry environments across six distinct regions. Previous research has demonstrated the substantial influence of diverse surface treatments and environmental conditions on the slip resistance values of natural stone slabs within laboratory settings. In light of these findings, the utilization of honed, patinated, and aged surfaces on natural stones has been recommended to enhance slip safety [26,37].
To ensure pedestrian slip safety and mitigate slip-and-fall incidents, the authors conducted measurements on various floor surfaces within fifteen public institutions using the GMG 200 tester. In this study, a safety slip risk scale was established by employing the K-means method on DCOF data, aiming to facilitate secure pedestrian movement across floor surfaces. Subsequently, safety classifications were assigned to diverse floor surfaces based on their DCOF values and the determined slip safety risk scale. The analysis revealed that, across all six regions, dry environments were consistently safer than wet environments, with hospital floors being conditionally safe when dry but posing a risk when wet. Consequently, recommendations were made for rendering hospital floors less slippery to enhance pedestrian safety [14,22].
This entails an examination of human locomotion on the slip resistance of corridor and stair surfaces within a public service building, employing rubber-soled shoes and a rubber-tipped testing apparatus. The objective of this research is to contribute to the design of devices and the formulation of floor surface evaluation criteria tailored for individuals with mobility impairments within buildings [38].
Unlike existing literature, the present study devised a novel scale by assessing DCOF values across two environments and six regions within thirty PSB. Various floor surfaces were examined using a portable GMG 200 and a pendulum tester in order to establish this scale.

5. Conclusion

This study assessed the DCOF values on various ground surfaces through slip tests conducted using a portable GMG 200 and pendulum testers. The slip safety risk scale was derived by applying the K-means method to the DCOF values obtained from different ground surfaces. Based on the acquired DCOF values, the floor surfaces were categorized according to their respective safe usage areas.
At the main entrance, corridors, stairs, rooms, kitchens, sinks, and toilet areas of the state institution, portable floor slip testers were employed to assess slip resistance in both dry and wet conditions. The study revealed that the floor surfaces within the PSB exhibit statistically significant variations in DCOF values, influenced by usage areas, environmental conditions, slip test methodologies, and surface materials. Pharmacies and schools were classified as safe, with DCOF values ranging between 0.45 and 0.58 μ in dry environments using the PSM-2 method, whereas they were deemed hazardous in wet environments due to DCOF values falling below 0.20 μ.
The floor surfaces, namely natural stone, PVC, ceramic, and laminate, commonly utilized in main entrances, corridors, staircases, classrooms, patient rooms, administrative areas, and polyclinics, are advised against being polished, particularly in spaces with high human traffic such as kitchens, sinks, and toilets. In lieu of polished and honed surfaces, safer alternatives like patinated and aged surfaces are recommended in high-risk areas. If the objective is to achieve a decorative, flexible, and non-slippery surface, opting for a honed finish is suggested for natural stones and ceramics.

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Figure 1. GMG 200 tester and measuring apparatus.
Figure 1. GMG 200 tester and measuring apparatus.
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Figure 2. Coefficient of friction measurement.
Figure 2. Coefficient of friction measurement.
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Figure 3. Pendulum test device.
Figure 3. Pendulum test device.
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Figure 4. Mean values of DCOF (μ) in dry and wet environments according to different usage areas for PSB.
Figure 4. Mean values of DCOF (μ) in dry and wet environments according to different usage areas for PSB.
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Figure 5. Mean values of DCOF (μ) in the slip test methods according to different areas of use for PSB.
Figure 5. Mean values of DCOF (μ) in the slip test methods according to different areas of use for PSB.
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Figure 6. Mean values of DCOF (μ) in surface materials according to the different PSB.
Figure 6. Mean values of DCOF (μ) in surface materials according to the different PSB.
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Table 1. Public service buildings, zones, environmental conditions, surface materials and portable test methods.
Table 1. Public service buildings, zones, environmental conditions, surface materials and portable test methods.
Public service buildings Zones Environmental conditions Surface materials Portable test methods
State agency
Hospital
School
University
Pharmacy
Main Entrance
Corridor
Stairs
Room
Kitchen
Washbasin and Toilets
Dry
Wet
Natural Stone
PVC Flooring
Laminate
Ceramic
GMG 200 Pendulum
Table 2. Safety slippage risk scale determined by the K-means method.
Table 2. Safety slippage risk scale determined by the K-means method.
DCOF value Code Safety Class Slip potential
≤ 0.20 SP1 Dangerous Very low
0.20-0.33 SP2 Unsafe Low
0.33-0.45 SP3 Conditional safe Medium
0.45-0.58 SP4 Safe High
≥ 0.58 SP5 Very Safe Very high
Table 3. Analysis of Variance results of DCOF values according to PSB.
Table 3. Analysis of Variance results of DCOF values according to PSB.
Slip Tests Dependent Variable Mean Std. Error 95% Confidence Interval
Lower Bound Upper Bound
State agency SA1 0.36 0.015 0.33 0.39
SA2 0.43 0.015 0.40 0.46
SA3 0.36 0.015 0.33 0.39
SA4 0.43 0.015 0.40 0.46
SA5 0.50 0.015 0.47 0.53
SA6 0.26 0.015 0.23 0.29
Hospital H1 0.40 0.015 0.37 0.43
H2 0.43 0.015 0.39 0.46
H3 0.28 0.015 0.25 0.31
H4 0.21 0.015 0.18 0.24
H5 0.24 0.015 0.21 0.27
H6 0.20 0.015 0.17 0.23
School S1 0.43 0.015 0.40 0.46
S2 0.48 0.015 0.45 0.51
S3 0.51 0.015 0.48 0.54
S4 0.54 0.015 0.51 0.57
S5 0.52 0.015 0.49 0.55
S6 0.58 0.015 0.55 0.61
University U1 0.38 0.015 0.35 0.41
U2 0.49 0.015 0.46 0.52
U3 0.32 0.015 0.29 0.35
U4 0.54 0.015 0.51 0.57
U5 0.36 0.015 0.33 0.39
U6 0.52 0.015 0.49 0.55
Pharmacy P1 0.35 0.015 0.32 0.38
P2 0.29 0.015 0.26 0.32
P3 0.27 0.015 0.24 0.30
P4 0.35 0.015 0.32 0.38
P5 0.30 0.015 0.27 0.33
P6 0.27 0.015 0.24 0.30
Table 4. Analysis of variance results for DCOF values according to regions, environmental conditions, slip test methods, and surface materials.
Table 4. Analysis of variance results for DCOF values according to regions, environmental conditions, slip test methods, and surface materials.
Dependent Variable Mean Std. Error 95% Confidence Interval
Lower Bound Upper Bound
Zones
Main Entrance 0.42 0.012 0.39 0.44
Corridor 0.40 0.012 0.38 0.43
Stairs 0.39 0.012 0.37 0.42
Room 0.38 0.012 0.36 0.40
Kitchen 0.37 0.012 0.35 0.39
Washbasin and Toilets 0.36 0.012 0.34 0.38
Environmental Conditions
DE 0.46 0.006 0.45 0.47
WE 0.32 0.006 0.31 0.33
Slip Test Method
PSM-1 0.37 0.007 0.36 0.38
PSM-2 0.40 0.007 0.39 0.42
Surface material
Natural Stone 0.40 0.008 0.39 0.42
PVC Flooring 0.40 0.012 0.38 0.43
Laminate 0.38 0.012 0.36 0.40
Ceramic 0.36 0.008 0.35 0.38
Table 5. Slip safety risk classification according to the DCOF values.
Table 5. Slip safety risk classification according to the DCOF values.
D. Variable EC PSM SM SA H S U P
Zones Mean Class Mean Class Mean Class Mean Class Mean Class
Main Entrance DE PSM-1 Natural Stone 0,45 SP4 0,45 SP4 0,59 SP4 0,49 SP4 0,36 SP3
PSM-2 Natural Stone 0,53 SP4 0,51 SP4 0,35 SP2 0,52 SP4 0,30 SP2
WE PSM-1 Natural Stone 0,31 SP2 0,31 SP2 0,45 SP4 0,34 SP3 0,22 SP2
PSM-2 Natural Stone 0,38 SP3 0,37 SP3 0,21 SP2 0,38 SP3 0,16 SP1
Corridor DE PSM-1 PVC Flooring 0,43 SP3 0,44 SP3 0,58 SP5 0,47 SP4 0,35 SP3
PSM-2 PVC Flooring 0,51 SP4 0,50 SP4 0,34 SP3 0,51 SP4 0,29 SP2
WE PSM-1 PVC Flooring 0,29 SP2 0,29 SP2 0,43 SP3 0,33 SP3 0,21 SP2
PSM-2 PVC Flooring 0,37 SP3 0,36 SP3 0,20 SP1 0,37 SP3 0,15 SP1
Stairs DE PSM-1 Natural Stone 0,42 SP3 0,43 SP3 0,56 SP4 0,46 SP4 0,34 SP3
PSM-2 Natural Stone 0,50 SP4 0,49 SP4 0,33 SP3 0,50 SP4 0,28 SP2
WE PSM-1 Natural Stone 0,28 SP2 0,28 SP2 0,42 SP4 0,32 SP2 0,20 SP1
PSM-2 Natural Stone 0,36 SP3 0,35 SP3 0,19 SP1 0,36 SP3 0,14 SP1
Room DE PSM-1 Laminate 0,41 SP3 0,41 SP3 0,55 SP4 0,45 SP4 0,33 SP3
PSM-2 Laminate 0,49 SP4 0,48 SP4 0,32 SP2 0,49 SP4 0,27 SP2
WE PSM-1 Laminate 0,27 SP2 0,27 SP2 0,41 SP3 0,31 SP2 0,19 SP1
PSM-2 Laminate 0,35 SP3 0,34 SP2 0,18 SP1 0,35 SP3 0,13 SP1
Kitchen DE PSM-1 Ceramic 0,40 SP3 0,41 SP3 0,55 SP4 0,44 SP3 0,32 SP2
PSM-2 Ceramic 0,48 SP4 0,47 SP4 0,31 SP2 0,48 SP3 0,26 SP2
WE PSM-1 Ceramic 0,26 SP2 0,26 SP3 0,40 SP3 0,30 SP2 0,18 SP1
PSM-2 Ceramic 0,34 SP3 0,33 SP3 0,17 SP1 0,34 SP3 0,12 SP1
Washbasin and Toilets DE PSM-1 Ceramic 0,40 SP3 0,40 SP3 0,54 SP4 0,43 SP3 0,31 SP2
PSM-2 Ceramic 0,47 SP4 0,46 SP4 0,30 SP2 0,47 SP4 0,25 SP2
WE PSM-1 Ceramic 0,25 SP2 0,26 SP2 0,40 SP3 0,29 SP2 0,17 SP1
PSM-2 Ceramic 0,33 SP3 0,32 SP2 0,16 SP1 0,33 SP3 0,11 SP1
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