Pub Date : 2022-02-21DOI: 10.1109/ASET53988.2022.9739743
Amer Aldawoud, Abdelsalam Aldawoud, Mamdouh El Haj Assad
Energy is a critical factor in contributing to the growth of many developing and developed countries worldwide. Hydroelectric energy remains one of the most vital renewable energy sources worldwide as it contributes to more than 16% of the global electricity generation. The study investigates the impact of varying the masses of sandstone, basalt, and limestone on reducing the energy, CO2 footprint, and overall costs of the system. Additionally, 6 different alternatives with varying masses of sandstone, basalt, and limestone were investigated. In this study, alternative 5 involved increasing the mass of limestone and decreasing the mass of the basalt. It was found that this resulted in the lowest CO2 footprint and total energy. Furthermore, alternative 2 involved increasing the mass of sandstone and decreasing the mass of the basalt. The study results show that alternative 2 was found to yield the lowest cost; however, it was relatively close to the cost found in alternative 5. In order to further reduce the CO2 footprint and total energy of the system, end-of-life (EOL) was investigated for alternative 5. The EOL potential successfully reduced the total energy and CO2 footprint by 3.1 MJ and 203 tonnes, respectively.
{"title":"Life-cycle Cost Analysis for a hydroelectric energy system","authors":"Amer Aldawoud, Abdelsalam Aldawoud, Mamdouh El Haj Assad","doi":"10.1109/ASET53988.2022.9739743","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9739743","url":null,"abstract":"Energy is a critical factor in contributing to the growth of many developing and developed countries worldwide. Hydroelectric energy remains one of the most vital renewable energy sources worldwide as it contributes to more than 16% of the global electricity generation. The study investigates the impact of varying the masses of sandstone, basalt, and limestone on reducing the energy, CO2 footprint, and overall costs of the system. Additionally, 6 different alternatives with varying masses of sandstone, basalt, and limestone were investigated. In this study, alternative 5 involved increasing the mass of limestone and decreasing the mass of the basalt. It was found that this resulted in the lowest CO2 footprint and total energy. Furthermore, alternative 2 involved increasing the mass of sandstone and decreasing the mass of the basalt. The study results show that alternative 2 was found to yield the lowest cost; however, it was relatively close to the cost found in alternative 5. In order to further reduce the CO2 footprint and total energy of the system, end-of-life (EOL) was investigated for alternative 5. The EOL potential successfully reduced the total energy and CO2 footprint by 3.1 MJ and 203 tonnes, respectively.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"7 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74515806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-21DOI: 10.1109/ASET53988.2022.9734897
Faisal Karim, N. Nandasena
An important component of the ocean ecosystem is the coral reef ecosystem. In addition to providing a variety of habitats for marine life, coral reef systems also serve as natural barriers against waves. The roughness of the coral is one of the factors that determines how well it can reduce wave impact. An idealized bathymetry data is included in this study. With different boundary wave characteristics and bed roughness, wave heights were assessed. Based on the results, severe wave energy reduction was noted with an effective wave force of up to 90% being attenuated in some scenarios. Shoreline waves arrived at the shore with a delay in most cases. Several analysis presented in the literature reviewed as part of the research presented consistent findings with some of the results obtained.
{"title":"Effectiveness of coral reefs for marine flood reduction","authors":"Faisal Karim, N. Nandasena","doi":"10.1109/ASET53988.2022.9734897","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9734897","url":null,"abstract":"An important component of the ocean ecosystem is the coral reef ecosystem. In addition to providing a variety of habitats for marine life, coral reef systems also serve as natural barriers against waves. The roughness of the coral is one of the factors that determines how well it can reduce wave impact. An idealized bathymetry data is included in this study. With different boundary wave characteristics and bed roughness, wave heights were assessed. Based on the results, severe wave energy reduction was noted with an effective wave force of up to 90% being attenuated in some scenarios. Shoreline waves arrived at the shore with a delay in most cases. Several analysis presented in the literature reviewed as part of the research presented consistent findings with some of the results obtained.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"14 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73081236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-21DOI: 10.1109/ASET53988.2022.9734926
O. Mohamed, K. Al-Aribe, E. Ahmed
The purpose of this study is to evaluate the compressive strength and splitting tensile strength of mortar samples that use alkali-activate ground granulated blast furnace slag (GGBS) or GGBS+ fly ash as binder. The binder was activated using alkaline solution consisting of combination of Na2SiO3 and NaOH. One set of mortar samples was cured by exposure to normal air at a temperature of 22±2 0C and 70% RH, and another set was cured under 10% sulfuric acid solution, in order to quantity its effect on compressive strength development. Water-cured mortar samples exhibited higher compressive strength at the age of 28-days in contrast with air-cured samples. The highest compressive strength at the age of 28-day was developed by mortar samples with binders consisting of GGBS: fly ash ratio of 3:1, compared to binders with equal amounts of fly ash and GGBS, as well GGBS as sole binder. This was consistent for NaOH concentration of 10M, 12M, and 14M. A 2nd degree polynomial was found to strongly correlate splitting tensile strength to 28-day compressive strength of air-cured mortar samples. The correlation weakens with the addition of 25% fly ash, and diminishes when fly ash is 50% of the binder content.
{"title":"Mechanical Properties of Mortar with Alkali-Activated Fly Ash and GGBS Binders","authors":"O. Mohamed, K. Al-Aribe, E. Ahmed","doi":"10.1109/ASET53988.2022.9734926","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9734926","url":null,"abstract":"The purpose of this study is to evaluate the compressive strength and splitting tensile strength of mortar samples that use alkali-activate ground granulated blast furnace slag (GGBS) or GGBS+ fly ash as binder. The binder was activated using alkaline solution consisting of combination of Na2SiO3 and NaOH. One set of mortar samples was cured by exposure to normal air at a temperature of 22±2 0C and 70% RH, and another set was cured under 10% sulfuric acid solution, in order to quantity its effect on compressive strength development. Water-cured mortar samples exhibited higher compressive strength at the age of 28-days in contrast with air-cured samples. The highest compressive strength at the age of 28-day was developed by mortar samples with binders consisting of GGBS: fly ash ratio of 3:1, compared to binders with equal amounts of fly ash and GGBS, as well GGBS as sole binder. This was consistent for NaOH concentration of 10M, 12M, and 14M. A 2nd degree polynomial was found to strongly correlate splitting tensile strength to 28-day compressive strength of air-cured mortar samples. The correlation weakens with the addition of 25% fly ash, and diminishes when fly ash is 50% of the binder content.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"52 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78693675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-21DOI: 10.1109/ASET53988.2022.9734817
Abdulla Shareef
Student performance in examinations of academic subjects is influenced by a complex array of factors. As for Physics which is a crucial component required for any engineering programme, it weaves algebra and mathematical equations extensively into its instruction and delivery. However, the course content and assessments are often delivered using a language, for example English in the case of this study, as a medium of instruction. In this study we aim to investigate the effect of language simplification on international students’ test performance in Physics. Students on an International Foundation Programme in Science and Engineering at a higher education institution (HEI) were given standard assessments, as well as parallel assessments with reduced linguistic complexity. Statistical analysis of the results reveal that the linguistic modification of test items resulted in significant improvement in Physics performance; student scores on the linguistically modified version were significantly higher. Some student groups benefited more from the linguistic modification of items - in particular, students who were originally low-performing.
{"title":"Effect of Linguistic Modification on the Physics Examination Scores of International Students in Higher Education","authors":"Abdulla Shareef","doi":"10.1109/ASET53988.2022.9734817","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9734817","url":null,"abstract":"Student performance in examinations of academic subjects is influenced by a complex array of factors. As for Physics which is a crucial component required for any engineering programme, it weaves algebra and mathematical equations extensively into its instruction and delivery. However, the course content and assessments are often delivered using a language, for example English in the case of this study, as a medium of instruction. In this study we aim to investigate the effect of language simplification on international students’ test performance in Physics. Students on an International Foundation Programme in Science and Engineering at a higher education institution (HEI) were given standard assessments, as well as parallel assessments with reduced linguistic complexity. Statistical analysis of the results reveal that the linguistic modification of test items resulted in significant improvement in Physics performance; student scores on the linguistically modified version were significantly higher. Some student groups benefited more from the linguistic modification of items - in particular, students who were originally low-performing.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"43 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80044488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-21DOI: 10.1109/ASET53988.2022.9735069
Mohamad Alnajar, Yara Aljabi, A. Alzaatreh
The healthcare industry is one of the most sensitive industries as it deals with patients' health. Machine Learning techniques have been implemented to assess the performance of such industries and further improve the allocation of their resources. Many measures of performance exist to infer how a healthcare facility uses its resources. Readmission rate is a very popular rate in analyzing the performance of a healthcare facility. In this paper, we assess the readmission rate of a Sharjah healthcare facility in the first ten months of 2021. We have used classification techniques such as Logistic Regression, Random Forests, Neural Networks, and Gradient Boosting to find the best prediction model. We then used logistic regression to infer the relationships between the most important variables and the readmission rate. Results showed that the readmission rate was most influenced by the hospital departments, insurance type, marital status, age, and diastolic blood pressure. Relationships of such variables are outlined in the paper and can be further investigated to reduce readmission rates for cost reduction.
{"title":"Assessing Readmission Rates in a Sharjah Healthcare Facility","authors":"Mohamad Alnajar, Yara Aljabi, A. Alzaatreh","doi":"10.1109/ASET53988.2022.9735069","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9735069","url":null,"abstract":"The healthcare industry is one of the most sensitive industries as it deals with patients' health. Machine Learning techniques have been implemented to assess the performance of such industries and further improve the allocation of their resources. Many measures of performance exist to infer how a healthcare facility uses its resources. Readmission rate is a very popular rate in analyzing the performance of a healthcare facility. In this paper, we assess the readmission rate of a Sharjah healthcare facility in the first ten months of 2021. We have used classification techniques such as Logistic Regression, Random Forests, Neural Networks, and Gradient Boosting to find the best prediction model. We then used logistic regression to infer the relationships between the most important variables and the readmission rate. Results showed that the readmission rate was most influenced by the hospital departments, insurance type, marital status, age, and diastolic blood pressure. Relationships of such variables are outlined in the paper and can be further investigated to reduce readmission rates for cost reduction.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"39 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80125549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-21DOI: 10.1109/ASET53988.2022.9734942
H. Aljaghoub, Adnan Alashkar, A. Alami, M. Tawalbeh
The paper investigates the correlation between solar irradiance and sunlit hours for the city of Sharjah, United Arab Emirates. This correlation is a strong function of the weather conditions, and is vital for the design and operation of solar energy systems. The Angstrom Model is a straightforward tool that establishes a linear relationship where the model parameters b and a (slope and y-intercept, respectively) are evaluated through plotting of experimental measurements. Wind speed and relative humidity are collected to interpret their effect on the quality of incident solar radiation. The model takes into consideration winter and summer months of the year 2021, hence it provides a complete weather pattern for the year. With continuous data logging, the model will be developed to predict the weather patterns of the city of Sharjah.
{"title":"Prediction of Weather Patterns Using Linear Angstrom Model","authors":"H. Aljaghoub, Adnan Alashkar, A. Alami, M. Tawalbeh","doi":"10.1109/ASET53988.2022.9734942","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9734942","url":null,"abstract":"The paper investigates the correlation between solar irradiance and sunlit hours for the city of Sharjah, United Arab Emirates. This correlation is a strong function of the weather conditions, and is vital for the design and operation of solar energy systems. The Angstrom Model is a straightforward tool that establishes a linear relationship where the model parameters b and a (slope and y-intercept, respectively) are evaluated through plotting of experimental measurements. Wind speed and relative humidity are collected to interpret their effect on the quality of incident solar radiation. The model takes into consideration winter and summer months of the year 2021, hence it provides a complete weather pattern for the year. With continuous data logging, the model will be developed to predict the weather patterns of the city of Sharjah.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"16 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80140193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-21DOI: 10.1109/ASET53988.2022.9734889
Usama M. Iqbal, L. Albasha, H. Mir
Low power Internet of Things (IoT) and wireless charging applications have expedited a rise in Wireless Power Transfer (WPT) technologies. WPT methods can be categorized into two main categories; near-field and far-field. Far-field based techniques that employ electromagnetic (EM) radiation are seeing an increased use in wirelessly charging appliances due to their increased power transfer efficiency (PTE) over long distances. However, to circumvent the general inefficiencies of WPT, a method of range-angle based beamforming technique has been proposed. This paper proposes a Frequency Diverse Array (FDA) based antenna architecture to be incorporated as the front-end of a WPT transmitter. It then explains the simulation results generated through the ANSYS HFSS software and concludes by discussing the hardware based future results.
{"title":"A Transmitter Antenna Array System for Wireless Power Transfer at 5.8GHz","authors":"Usama M. Iqbal, L. Albasha, H. Mir","doi":"10.1109/ASET53988.2022.9734889","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9734889","url":null,"abstract":"Low power Internet of Things (IoT) and wireless charging applications have expedited a rise in Wireless Power Transfer (WPT) technologies. WPT methods can be categorized into two main categories; near-field and far-field. Far-field based techniques that employ electromagnetic (EM) radiation are seeing an increased use in wirelessly charging appliances due to their increased power transfer efficiency (PTE) over long distances. However, to circumvent the general inefficiencies of WPT, a method of range-angle based beamforming technique has been proposed. This paper proposes a Frequency Diverse Array (FDA) based antenna architecture to be incorporated as the front-end of a WPT transmitter. It then explains the simulation results generated through the ANSYS HFSS software and concludes by discussing the hardware based future results.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"58 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80157866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-21DOI: 10.1109/ASET53988.2022.9735064
Mahmmud Qatmh, T. Bonny, F. Barneih, O. Alshaltone, N. Nasir, M. Al-Shabi, Ahmed Al-Shammaa
Sleep apnea is a sleep disorder that can cause serious health problems. An Artificial Neural Network classifier to detect sleep apnea has been presented in this paper by utilizing the ECG signals. Moreover, the discrete wavelet transform is used to decompose the ECG signal and use the first decomposition for feature extraction; the extracted features were used to train the Artificial Neural Network for pattern detection using MATLAB tools. Also, the data-sets used contains both Apnea pat1ients and healthy volunteers’ ECG signals. The results achieve 92.3% accuracy in the testing records.
{"title":"Sleep Apnea Detection Based on ECG Signals Using Discrete Wavelet Transform and Artificial Neural Network","authors":"Mahmmud Qatmh, T. Bonny, F. Barneih, O. Alshaltone, N. Nasir, M. Al-Shabi, Ahmed Al-Shammaa","doi":"10.1109/ASET53988.2022.9735064","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9735064","url":null,"abstract":"Sleep apnea is a sleep disorder that can cause serious health problems. An Artificial Neural Network classifier to detect sleep apnea has been presented in this paper by utilizing the ECG signals. Moreover, the discrete wavelet transform is used to decompose the ECG signal and use the first decomposition for feature extraction; the extracted features were used to train the Artificial Neural Network for pattern detection using MATLAB tools. Also, the data-sets used contains both Apnea pat1ients and healthy volunteers’ ECG signals. The results achieve 92.3% accuracy in the testing records.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"18 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79124798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-21DOI: 10.1109/ASET53988.2022.9734867
Reem Elfatih Salman, A. Alzaatreh
Over the years, data mining techniques have grown increasingly popular. Machine learning has been implemented as means of discovering new information in a wide variety of applications, one of which is the analysis of road accidents and crash data. While many techniques have been applied to this problem; Market Basket Analysis can provide practical insight for road safety and accident prevention efforts through its discovery of interesting accident patterns. In this paper, association rules are investigated with regards to the nature of accidents, their causes, number of cars involved, and crash characteristics. By the results obtained, recommendations are thus offered to help reduce certain accident types such as hit and runs or rear accidents, with emphasis on the timeframe (weekday vs weekend) and traffic type (intersection-related). On another note, a significant decrease in accident rates following the COVID-19 lockdown is also illustrated, and noticeable changes in accident patterns due to the situation are briefly explored.
{"title":"Market Basket Analysis of Chicago Road Accidents","authors":"Reem Elfatih Salman, A. Alzaatreh","doi":"10.1109/ASET53988.2022.9734867","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9734867","url":null,"abstract":"Over the years, data mining techniques have grown increasingly popular. Machine learning has been implemented as means of discovering new information in a wide variety of applications, one of which is the analysis of road accidents and crash data. While many techniques have been applied to this problem; Market Basket Analysis can provide practical insight for road safety and accident prevention efforts through its discovery of interesting accident patterns. In this paper, association rules are investigated with regards to the nature of accidents, their causes, number of cars involved, and crash characteristics. By the results obtained, recommendations are thus offered to help reduce certain accident types such as hit and runs or rear accidents, with emphasis on the timeframe (weekday vs weekend) and traffic type (intersection-related). On another note, a significant decrease in accident rates following the COVID-19 lockdown is also illustrated, and noticeable changes in accident patterns due to the situation are briefly explored.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"16 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84569175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-21DOI: 10.1109/ASET53988.2022.9735029
In-Ju Kim, O. H. Omar
Concrete is a popular building material for many construction applications to pave driveways, walkways, patios, and other surfaces. Although they are commonly found in various constructed settings and pavements, their traction properties have not been methodically explored to prevent pedestrian fall incidents. This pilot study examines the effect of different surface textures of concrete slabs on slip resistance functioning and identifies their roles on fall safety controls. For the concrete slabs, the three most commonly applied methods: metal blade trowelling, worn wood blade trowelling, and bloomswept, were used to generate different surface finishes. Dynamic friction tests were performed amongst three concrete slabs and three new shoes under four disparate environments: dry, wet, soapy, and oily. Test results show that a strong effect of the surface finishes of the concrete slabs was found on dynamic friction coefficients (DFCs) under soapy and oily environments. The current study also uncovered that rough concrete slabs did not reflexively support higher slip resistance performance under lubricated environments. Those findings identify imperative evidence on tribological characteristics of the concrete slabs and their impacts on traction properties. It is hoped that this study may have possible appliances for design improvement of concrete surfaces to prevent pedestrian fall incidence.
{"title":"Measurements of Traction Properties of Concrete Slabs: Application for Pedestrian Fall Safety Improvement","authors":"In-Ju Kim, O. H. Omar","doi":"10.1109/ASET53988.2022.9735029","DOIUrl":"https://doi.org/10.1109/ASET53988.2022.9735029","url":null,"abstract":"Concrete is a popular building material for many construction applications to pave driveways, walkways, patios, and other surfaces. Although they are commonly found in various constructed settings and pavements, their traction properties have not been methodically explored to prevent pedestrian fall incidents. This pilot study examines the effect of different surface textures of concrete slabs on slip resistance functioning and identifies their roles on fall safety controls. For the concrete slabs, the three most commonly applied methods: metal blade trowelling, worn wood blade trowelling, and bloomswept, were used to generate different surface finishes. Dynamic friction tests were performed amongst three concrete slabs and three new shoes under four disparate environments: dry, wet, soapy, and oily. Test results show that a strong effect of the surface finishes of the concrete slabs was found on dynamic friction coefficients (DFCs) under soapy and oily environments. The current study also uncovered that rough concrete slabs did not reflexively support higher slip resistance performance under lubricated environments. Those findings identify imperative evidence on tribological characteristics of the concrete slabs and their impacts on traction properties. It is hoped that this study may have possible appliances for design improvement of concrete surfaces to prevent pedestrian fall incidence.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"55 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85642933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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