{"title":"Effect of several fillers on some basic mechanical properties of asphalt concrete","authors":"Quynh-Anh Bui Thi","doi":"10.58845/jstt.utt..en97","DOIUrl":"https://doi.org/10.58845/jstt.utt..en97","url":null,"abstract":"Filler is one of the mandatory ingredients in asphalt mixture. It also plays a very significant role in influencing the properties and behavior of asphalt concrete. This paper presents the results of laboratory experiments to determine the influence of 4 different fillers (including conventional stone powder, Portland cement, rice husk ash, and fly ash) on some mechanical properties of asphalt concrete with Dmax of 12.5 (AC12.5). The content of filler used in the study was 5% of the total volume of aggregate. The results show that the designed AC with different fillers have the mechanical properties (air void, Marshall stability, flow, and retaining stability) that meet the specification requirements of Vietnam Ministry of Transport Decision No. 858/2014. In which the mechanical properties of AC using conventional stone powder filler are achieved with an overall better and stable effect. Although rice husk ash and fly ash filler also have certain improvements in Marshall stability and air void, AC using rice husk ash and fly ash filler does not meet the requirement of elastic modulus recommended in the Vietnam standard for flexible pavement design 22TCN 211 -06.","PeriodicalId":117856,"journal":{"name":"Journal of Science and Transport Technology","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122983561","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}
Quang Nam Pham, Long Giang Nguyen, Hoang Son Le, Manh Tuan Tran
{"title":"Application of secure semi-supervised fuzzy clustering in object detection from remote sensing images","authors":"Quang Nam Pham, Long Giang Nguyen, Hoang Son Le, Manh Tuan Tran","doi":"10.58845/jstt.utt..en94","DOIUrl":"https://doi.org/10.58845/jstt.utt..en94","url":null,"abstract":"In recent years, landslides are taking place very seriously, and tend to increase in both scope and scale, threatening people's lives and properties. Therefore, timely detection of landslide areas is extremely important to minimize damage. There are many ways to detect landslide areas, in which the use of satellite images is also an option worthy of attention. When performing satellite image data collection, there are many outliers, such as weather, clouds, etc. that can reduce image quality. With low quality images, when executing the clustering algorithm, the best clustering performance will not be obtained. In addition, the fuzzy parameter is also an important parameter affecting the results of the clustering process. In this paper will introduce an algorithm, which can improve the results of data partitioning with reliability and multiple fuzzifier. This algorithm is named TSSFC. The introduced method includes three steps namely as “labeled data with FCM”, “Data transformation”, and “Semi supervised fuzzy clustering with multiple point fuzzifiers”. The introduced TSSFC method will be used for landslide detection. The obtained results are quite satisfactory when compared with another clustering algorithm, CS3FCM (Confidence-weighted Safe Semi-Supervised Clustering).","PeriodicalId":117856,"journal":{"name":"Journal of Science and Transport Technology","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116362598","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}
{"title":"Effect of weather aging on volume expansion properties of steel slag","authors":"Hoang Son Trinh","doi":"10.58845/jstt.utt..en96","DOIUrl":"https://doi.org/10.58845/jstt.utt..en96","url":null,"abstract":"\u0000 \u0000 \u0000 \u0000Steel slag, one of the huge industrial waste sources, which has many outstanding advantages (hardness, roughness, angularity, and abrasion resistance) has been used as an aggregate in asphalt concrete to bring many benefits. However, steel slag is rarely used in Portland cement concrete because of concerns that it may give rise to volume expansion. One of the main causes of this problem is that the steel slag contains a considerable amount of free lime. This free lime content can be reduced if it is hydrated or the steel slag is aged by water. Therefore, in this study, the effects of weather aging on volume expansion properties of steel slag will be considered. The pH, free lime and volume expansion tests were carried out on weather-aged steel slag samples (after aged by 1 month, 6 months, 12 months and 30 months) and compared with non-aged one. The results showed that the 6 month-aged, 12 month-aged, and 30 month-aged steel slag samples had low free content, low pH and volume expansion. Moreover, steel slag aged more than 6 months has very low volume expansion, meeting the requirements of ASTM D492 for use as aggregate in concrete. \u0000 \u0000 \u0000 \u0000","PeriodicalId":117856,"journal":{"name":"Journal of Science and Transport Technology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127935675","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}
{"title":"Nonlinear buckling analysis of FGM plates stiffened by different FGM stiffener types","authors":"Viet Tuan Dang, Quang Huy Dao","doi":"10.58845/jstt.utt..en99","DOIUrl":"https://doi.org/10.58845/jstt.utt..en99","url":null,"abstract":"In this paper, the nonlinear buckling behavior of functionally graded material (FGM) plates subjected to an axial compression is analytically investigated. Assuming that the plates are stiffened by FGM rectangular, I- and T-stiffeners. The formulations are established by using the classical plate theory considering the geometrical nonlinearities of von Karman. The Lekhnitskii’s smeared stiffener technique is developed for different types of FGM stiffeners. The Galerkin method is utilized to obtain the nonlinear algebraically equation system, then, solve it to determine the explicit expressions of critical buckling loads and postbuckling load–deflection curves of plates. Numerical examples validate the effects of different types of FGM stiffeners, material and geometrical parameters on nonlinear behavior of plates.","PeriodicalId":117856,"journal":{"name":"Journal of Science and Transport Technology","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125768289","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}
Hoang Quan Nguyen, Minh Duc Vu, T. Nguyen, Ngoc Ly Le, Thi My Trang Nguyen
{"title":"Buckling behavior of spiral stiffened sandwich FGM cylindrical shells with porous core under axial compression using the FSDT","authors":"Hoang Quan Nguyen, Minh Duc Vu, T. Nguyen, Ngoc Ly Le, Thi My Trang Nguyen","doi":"10.58845/jstt.utt..en80","DOIUrl":"https://doi.org/10.58845/jstt.utt..en80","url":null,"abstract":"The linear buckling behavior of functionally graded cylindrical shells with porous core stiffened by spiral stiffeners under axial compression using the first-order shear deformation theory is presented in this paper. The improved Lekhnitskii’s smeared stiffeners technique is applied for shear deformable spiral FGM stiffeners. Approximate analytical solutions are assumed to satisfy the simply supported boundary conditions and the adjacent equilibrium criterion is applied to obtain closed-form relations of buckling loads. Effects of the number of FGM stiffeners, stiffener angle, volume fraction index and porosity coefficient on the buckling behavior of shells are numerically investigated.","PeriodicalId":117856,"journal":{"name":"Journal of Science and Transport Technology","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127771195","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}
{"title":"KD-Railway 1.0 – A structural dynamics software for high-speed rail bridge based on open source Cast3m platform","authors":"Le Nguyen Khuong, Van Dang Nguyen","doi":"10.58845/jstt.utt.2022.en71","DOIUrl":"https://doi.org/10.58845/jstt.utt.2022.en71","url":null,"abstract":"The dynamic interaction between train and bridge under high-speed movement is complex. The methods using the equivalence coefficients or the analytic model with simplified assumptions cannot accurately analyze the dynamic behavior of the high-speed railway bridge, especially in the cases of resonance. KD-Railway was built to reduce time consumption for dynamic simulation and improve the model's accuracy. This software uses the solver of the open-source Cast3M platform for finite element analysis, integrating the interface developed in C# and Python. In this study, we summarize the primary functionalities of KD-Railway version 01 with the validating results compared with different analytical methods and experimental measurements that existed in the literature. This result is a scientific basis for further studies using KD-Railway to analyze the dynamic response of high-speed railway bridges.","PeriodicalId":117856,"journal":{"name":"Journal of Science and Transport Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129912564","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}
{"title":"Investigation in manufacturing self-healing cementitious materials using microbial technology","authors":"V. Tran, Van Loi Giap","doi":"10.58845/jstt.utt.2022.en83","DOIUrl":"https://doi.org/10.58845/jstt.utt.2022.en83","url":null,"abstract":"Small cracks are inherent in cementitious-based structures. This causes deterioration of buildings, reducing the bearing capacity of structures due to the invasion of harmful substances as well as corrosion of reinforcement in cementitious material. Therefore, the cementitious material needs to be restored and these voids filled. Self-healing cementitious material has been strongly developed for long time in the world. However, this technology has not been popular in Vietnam. Therefore, the aim of this paper is to find the appropriate mix-design for creating self-healing cementitious material in Vietnam conditions. Experimental results show that the mixture including bacillus subtilis and calcium lactate can be used for creating the self-healing cementitious materials. Mixing directly the mixture in the cement is selected to manufacture the self-healing cementitious materials. It seems that the width of crack affects more on healing ability than the length of crack.","PeriodicalId":117856,"journal":{"name":"Journal of Science and Transport Technology","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126354173","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}
{"title":"Artificial intelligence approach to predict the dynamic modulus of asphalt concrete mixtures","authors":"Thanh-Hai Le, Hoang-Long Nguyen, Cao-Thang Pham","doi":"10.58845/jstt.utt.2022.en53","DOIUrl":"https://doi.org/10.58845/jstt.utt.2022.en53","url":null,"abstract":"This paper develops an Artificial Neural Network (ANN) model based on 96 experimental data to forecast the dynamic modulus of asphalt concrete mixtures. The accuracy of the models was assessed using numerous performance indexes such as the Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and coefficient of determination (R2). In addition, this study applied the repeated K-Fold cross-validation technique with 10 folds on the training data set to make the simulation results more reliable and find a model with more general predictive power. According to the research findings, the ANN model accurately predicts the dynamic modulus |E*| of asphalt concrete mixtures. Furthermore, the ANN model could successfully predict the dynamic modulus |E*| of asphalt concrete mixtures with a remarkable R2 = 0.989.","PeriodicalId":117856,"journal":{"name":"Journal of Science and Transport Technology","volume":"316 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123924567","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}
{"title":"Prediction of shear strength of corrosion reinforced concrete beams using Artificial Neural Network","authors":"P. G. Asteris, Thuy-Anh Nguyen","doi":"10.58845/jstt.utt.2022.en56","DOIUrl":"https://doi.org/10.58845/jstt.utt.2022.en56","url":null,"abstract":"The shear strength of corroded reinforced concrete (CRC) beams is a critical consideration during the design stages of RC structures. In this study, we propose a machine learning technique for estimating the shear strength of CRC beams across a range of service periods. To do this, we gathered 158 CRC beam shear tests and used Artificial Neural Network (ANN) to create a forecast model for the considered output. Twelve input variables indicate the geometrical and material properties, reinforcing parameters, and the degree of corrosion in the beam, whereas the shear strength is the output considered. The database is designed to employ 70 percent of the data point to train the model and 30 percent to assess the performance. The model makes outstanding predictions, according to the results, with an R2 value of 0.989. In addition, five empirical shear strength models in the literature are utilized to test the suggested ANN model, demonstrating that the new model performs much better. With any given service period, the suggested time-dependent prediction model can offer the shear strength of CRC beams.","PeriodicalId":117856,"journal":{"name":"Journal of Science and Transport Technology","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130122890","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}
{"title":"Predicting Bike-Sharing Demand Using Random Forest","authors":"T. T. Ngo, H. Pham, Juan G. Acosta, S. Derrible","doi":"10.58845/jstt.utt.2022.en65","DOIUrl":"https://doi.org/10.58845/jstt.utt.2022.en65","url":null,"abstract":"Being able to accurately predict bike-sharing demand is important for Intelligent Transport Systems and traveler information systems. These challenges have been addressed in a number of cities worldwide. This article uses Random Forest (RF) and k-fold cross-validation to predict the hourly count of rental bikes (cnt/h) in the city of Seoul (Korea) using information related to rental hour, temperature, humidity, wind speed, visibility, dewpoint, solar radiation, snowfall, and rainfall. The performance of the proposed RF model is evaluated using three statistical measurements: root mean squared error (RMSE), mean absolute error (MAE), and correlation coefficient (R). The results show that the RF model has high predictive accuracy with an RMSE of 210 cnt/h, an MAE of 121 cnt/h, and an R of 0.90. The performance of the RF model is also compared with a linear regression model and shows superior accuracy.","PeriodicalId":117856,"journal":{"name":"Journal of Science and Transport Technology","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121135301","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}