Journal of Science and Transport Technology最新文献

Effect of Negative Pressure on the Structure and Diffusion Process of Silicon Dioxide at a Liquefied Nitrogen Temperature Using Molecular Dynamics Simulations 利用分子动力学模拟负压对液化氮温度下二氧化硅结构和扩散过程的影响

Journal of Science and Transport Technology Pub Date : 2024-06-14 DOI: 10.58845/jstt.utt.2024.en.4.2.13-23

Ştefan Ţălu, Tuan Tran Quoc, Umut Saraç, Burak Malik Kaya, Dung Nguyen Trong

{"title":"Effect of Negative Pressure on the Structure and Diffusion Process of Silicon Dioxide at a Liquefied Nitrogen Temperature Using Molecular Dynamics Simulations","authors":"Ştefan Ţălu, Tuan Tran Quoc, Umut Saraç, Burak Malik Kaya, Dung Nguyen Trong","doi":"10.58845/jstt.utt.2024.en.4.2.13-23","DOIUrl":"https://doi.org/10.58845/jstt.utt.2024.en.4.2.13-23","url":null,"abstract":"This study uses molecular dynamics (MD) simulations to investigate the effect of negative pressure on the structure and diffusion process of SiOx structural units (x = 4, 5) in Silicon dioxide at a liquefied nitrogen temperature. When decreases the pressure from 0 GPa to -10 GPa at 70 K, the lengths of the links Si-Si, Si-O, and O-O initially increase and then decrease, the system size increases, and the total energy of the system increases. During the diffusion process, number of structural units SiO4 increases, whereas the number of structural units SiO5 decreases. The average coordination number of link Si-O is constantly 4.0, while the average coordination number of link O-O decreases from 7.0 to 6.0, leading to changes in the microstructural characteristics. This is accompanied by changes in bond angles, with SiO4 has is 105 (degree) and SiO5 decreasing from 90 (degree) to 85 (degree). The length of the links increases from 1.64 Å to 1.66 Å for number of structural units SiO4 and increases from 1.68 Å to 1.74 Å for SiO5 units. These findings provide a basis for future experimental studies aimed at the research and development of advanced materials.","PeriodicalId":117856,"journal":{"name":"Journal of Science and Transport Technology","volume":"18 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141344413","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}

引用次数: 0

Predicting Load-Deflection of Composite Concrete Bridges Using Machine Learning Models 利用机器学习模型预测混凝土组合桥梁的荷载-挠度

Journal of Science and Transport Technology Pub Date : 2023-12-29 DOI: 10.58845/jstt.utt.2023.en.3.4.44-52

Manh Van Le, Indra Prakash, Dam Duc Nguyen

引用次数: 0

Predicting the Maximum Load Capacity of Circular RC Columns Confined with Fibre-Reinforced Polymer (FRP) Using Machine Learning Model 利用机器学习模型预测用纤维增强聚合物（FRP）加固的圆形 RC 柱的最大承载能力

Journal of Science and Transport Technology Pub Date : 2023-12-25 DOI: 10.58845/jstt.utt.2023.en.3.4.25-43

Indra Prakash, Thuy Anh Nguyen

{"title":"Predicting the Maximum Load Capacity of Circular RC Columns Confined with Fibre-Reinforced Polymer (FRP) Using Machine Learning Model","authors":"Indra Prakash, Thuy Anh Nguyen","doi":"10.58845/jstt.utt.2023.en.3.4.25-43","DOIUrl":"https://doi.org/10.58845/jstt.utt.2023.en.3.4.25-43","url":null,"abstract":"This article conducts an exhaustive investigation into the utilization of machine learning (ML) methods for forecasting the maximum load capacity (MLC) of circular reinforced concrete columns (CRCC) using Fiber-Reinforced Polymer (FRP). Extreme Gradient Boosting (XGB) algorithm is combined with novel metaheuristic algorithms, namely Sailfish Optimizer and Aquila Optimizer, to fine-tune its hyperparameters. The robustness and generalizability of these optimized hyperparameters are ensured through 200 Monte Carlo simulations (MCS). The model is constructed based on a database of 207 experimental results. Its performance is evaluated using three criteria: root mean squared error, mean absolute error, and the coefficient of determination. This study includes a performance comparison of the XGB4 model with eight other ML models, namely CatBoost (CAT), Gradient Boosting (GB), Hist Gradient Boosting (HGB), default XGB, Light Gradient Boosting (LGB), Linear Regression (LR), and Random Forest (RF). This comparison identifies the most effective model for predicting the MLC of columns. Additionally, this study explores the interpretability of the XGB model by SHAP values. This analysis illuminates the significance and interactions of various input features in predicting the FRP-confined CRCC's MLC. It offers insights into the primary elements influencing structural behavior by displaying a graphical depiction of the impact of specific characteristics on the model's output. This study culminates in developing an interactive Graphical User Interface (GUI) based on the XGB model. This tool allows users to investigate the influence of input parameters on the predicted MLC values, thereby enhancing their understanding and application of the model.","PeriodicalId":117856,"journal":{"name":"Journal of Science and Transport Technology","volume":"16 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139157349","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}

引用次数: 0

Geotechnical Evaluation of Basalt Rocks: A Review in the Context of the Construction of Civil Engineering Structures 玄武岩岩土工程评估：土木工程结构施工回顾

Journal of Science and Transport Technology Pub Date : 2023-12-20 DOI: 10.58845/jstt.utt.2023.en.3.4.10-24

Indra Prakash, Binh Thai Pham

{"title":"Geotechnical Evaluation of Basalt Rocks: A Review in the Context of the Construction of Civil Engineering Structures","authors":"Indra Prakash, Binh Thai Pham","doi":"10.58845/jstt.utt.2023.en.3.4.10-24","DOIUrl":"https://doi.org/10.58845/jstt.utt.2023.en.3.4.10-24","url":null,"abstract":"Basalt rocks are a common geological formation that plays a crucial role in various engineering applications, such as construction, infrastructure development, and geotechnical engineering. Understanding the physical and geotechnical properties of basalt rocks is essential for ensuring the stability and safety of structures built on or within these formations. It is crucial to understand how basalt rocks deform and fail under applied loads for geotechnical assessments. Deformation and failure mechanisms are influenced by factors such as jointing, weathering, and stress conditions. Therefore, a comprehensive analysis is necessary to ensure reliable engineering designs. Proper site investigations and geotechnical assessments are essential to address these challenges effectively and ensure reliable engineering designs. This paper provides a comprehensive review of the geotechnical properties of basalt rocks, including their origin, mineralogy, physical characteristics, and engineering behavior. The paper also includes case studies of the Sardar Sarovar (Narmada) dam Project and Karjan dam, Gujarat, India, highlighting the successful utilization of basalt rocks in the construction of major dams and underground powerhouse. These case studies provide insights into potential challenges posed by basalt rocks and associated features in the construction of structures and their adequate solutions.","PeriodicalId":117856,"journal":{"name":"Journal of Science and Transport Technology","volume":"83 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139170990","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}

引用次数: 0

Numerical analysis of aerodynamic and structure characteristics of an autonomous unmanned flying car for high-rise building rescue operations in urban area 用于城市高层建筑救援行动的自主无人驾驶飞行器的气动和结构特性数值分析

Journal of Science and Transport Technology Pub Date : 2023-11-29 DOI: 10.58845/jstt.utt.2023.en.3.4.1-9

Cong-Thanh Nguyen, Hoang-Quan Chu, Thai-Son Vu, Xuan-Truong Le, Cong-Truong Dinh

引用次数: 0

Postbuckling analysis of externally pressured parabola, sinusoidal and cylindrical FG-GRCL panels using HSDT 外压抛物线形、正弦形和圆柱形FG-GRCL面板的后屈曲分析

Journal of Science and Transport Technology Pub Date : 2023-06-30 DOI: 10.58845/jstt.utt.2023.en.3.2.34-42

Nguyen Thi Hong Phuong, C. Doan, V. H. Nam

引用次数: 1

Evaluation of shear bond for double-layer asphalt concrete samples based on shear test 基于剪切试验的双层沥青混凝土试件剪切黏结评价

Journal of Science and Transport Technology Pub Date : 2023-06-30 DOI: 10.58845/jstt.utt.2023.en.3.2.11-18

Quynh-Anh Thi Bui, Joon Seo Lee, Thai Quang Kieu

{"title":"Evaluation of shear bond for double-layer asphalt concrete samples based on shear test","authors":"Quynh-Anh Thi Bui, Joon Seo Lee, Thai Quang Kieu","doi":"10.58845/jstt.utt.2023.en.3.2.11-18","DOIUrl":"https://doi.org/10.58845/jstt.utt.2023.en.3.2.11-18","url":null,"abstract":"Asphalt concrete pavement often appears damaged such as rutting, fatigue crack, potholes, etc. at high air temperature, heavy rain in long time, or at locations with high traffic, large horizontal force, and poor-quality construction sites. This causes a deterioration in the service quality, leading to a lot of maintenance costs. These failures are often related to bond between layers of asphalt concrete. Therefore, this paper shows the evaluation results of shear bond of double-layer asphalt (with tack coat rate of 0, 0.2, 0.5, 0.8 l/m2) based on shear test at the experimental temperatures (25, 40, 60oC), normal pressure (0, 0.14, 0.2, 0.4, 0.6 MPa). The results show that, when the temperature increases from 25oC to 60oC, the shear bond between the asphalt layers decreases sharply. At 25oC, the average shear bond that tested with normal pressure of 0.6 MPa increases by 52.19% compared to that tested at pressure of 0 MPa. When the temperature reaches 60oC, the average shear bond that tested with normal pressure 0.6 MPa increases by 94.87% compared to that tested at 0 MPa pressure. At 25°C, non-tack coat samples have lowest shear bond. However, at 40oC and 60oC, the shear bond of 0.8 l/m2 tack coat-based samples reach the lowest value. At the same time, a regression equation between shear bond and input variables proposed by Minitab V17 software provides high reliability results.","PeriodicalId":117856,"journal":{"name":"Journal of Science and Transport Technology","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131168943","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}

引用次数: 0

Optimize location tower crane and supply facilities on construction site by discrete PSO algorithm 采用离散粒子群算法对施工现场塔吊及供电设施的位置进行优化

Journal of Science and Transport Technology Pub Date : 2023-06-30 DOI: 10.58845/jstt.utt.2023.en.3.2.1-10

Dung Bui, N. D. Bui

引用次数: 0

Using GA-ANFIS machine learning model for forecasting the load bearing capacity of driven piles 采用GA-ANFIS机器学习模型对沉桩承载力进行预测

Journal of Science and Transport Technology Pub Date : 2023-06-30 DOI: 10.58845/jstt.utt.2023.en.3.2.26-33

D. D. Nguyen, Hai Phu Nguyen, Dung Quang Vu, Indra Prakash, B. Pham

引用次数: 0

Nonlinear buckling responses of radially pressured FG-GPLRC toroidal shell segments 径向受压FG-GPLRC环形壳段的非线性屈曲响应

Journal of Science and Transport Technology Pub Date : 2023-06-30 DOI: 10.58845/jstt.utt.2023.en.3.2.19-25

Luu Ngoc Quang, Nguyen Thi Hong Phuong

引用次数: 0