bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vibration analysis of functionally graded microbeams with a moving mass based on Timoshenko beam theory
Authors: Vu An Ninh Thi , Pham Vu Nam , Bui Van Tuyen , Nguyen Dinh Kien 
Published: August 2023

Abstract
Vibration analysis of functionally graded (FG) microbeams carrying a moving mass is carried out in the framework of Timoshenko beam theory. The beam material properties are considered to be graded in the thickness by a power-law function, and they are estimated by Mori-Tanaka scheme. The influence of the microsize effect is captured with the aid of the modified couple stress theory (MCST). A finite beam element is formulated and used to establish the discretized equation of motion for the beams. Vibration characteristics, including the natural frequencies, the time histories for mid-span deflection, the dynamic magnification factor and the stress distribution, are computed for a simply supported beam. The obtained result reveals that both the dynamic deflection and dynamic magnification factor are overestimated by ignoring the microsize effect. The effects of the material distribution, the moving mass velocity and the length scale parameter are studied in detail and highlighted.
Study on dynamic impact factor of girder bridges due to vehicle load model
Authors: Tran-Van Duc , Nguyen-Xuan Toan , Nguyen-Duy Thao , Nguyen-Thi-Kim Loan 
Published: August 2023

Abstract
The dynamic effects of moving vehicle on bridge are generally treated as withstand static loads that are recommended an increment by dynamic impact factors (IMs) (or dynamic amplification factors) in many design codes, that are a function of either the span or the first flexural natural frequency of the bridge. The value of the IM will relate to safe and economical in new bridge designs, evaluate recommendation and operation of bridges. Due to the bridge-vehicle interaction model, previous studies have shown that the calculated IM from field measurements could be higher than the values specified in design codes. Currently, studies on IM often focus on using interaction models with multi mass vehicles move on bridge that are increasingly similar to real models. This study develops a 2D three-axle vehicle–bridge model to analysis the dynamic response of the girder bridge subjected to moving loads consider to some vehicle parameters with the each axle is modelled in two masses, each mass is connected to a spring and a damping corresponding to the suspension and tire. In addition, depending on the stiffness parameters of the suspension and tires of the analyzed vehicle model, the IM results of this study are different from those of some authors and the bridge design rules. Based on the dynamic analysis of the bridge under the vehicle loading consider the stiffness of tire and suspensions, the calculation of the IM needs to be considered more carefully in the process of designing new bridges or existing bridges.
Seismic behavior of cable-stayed bridges under strong ground motions
Authors: Vern S , Paolacci F , Nascimbene R 
Published: August 2023

Abstract
Seismic behavior analysis of the long-span cable-stayed bridge is a complex process involving different uncertainties. This paper performs a sensitivity analysis of cable-stayed bridges using the finite element method on Midas/Civil. They include different types of ground motions scaled to different peak ground acceleration (PGA) levels, the effect of the multi-support excitations due to time-lag propagation or nonsynchronous excitations, and the effect of the angle of the incidence of the earthquake is determined. To evaluate the optimum initial cable prestress forces in cables unknown load factors method is used. The response quantities of interest include the displacement of the tower and deck, variation in prestress force in cables, torsional in the deck, shear force, and bending moment at the supports. Results show that the effect of the PGA variation and angle of incidence of the earthquake is moderate. In contrast, the synchronous and nonsynchronous seismic excitation effect on the response quantities is significant.
Landslide susceptibility modeling and mapping at Dien Bien province, Vietnam using Bagging based MLP neural network
Authors: Nguyen Dam Duc , Le Hiep Van , Pham Binh Thai 
Published: August 2023

Abstract
In this article, the main aim is to build landslide susceptibility map at the Dien Bien province (Vietnam) using a hybrid machine learning model including BG-MLP which is a hybridization of Bagging and Multilayer Perceptron (MLP) neural networks. For this purpose, 665 past landslide events together with 665 non-landslide locations and 10 landslide influencing parameters including geology, normalized difference vegetation index (NDVI), distance to roads, distance to rivers, topographic wetness index (TWI), slope, curvature, aspect, distance to faults and elevation were collected and used for generation of datasets for model’s development and validation. To validate the predictive capability of the model, area under the ROC curve and other popular statistical indices were used. Results presented that BG-MLP (AUC = 0.81) has a good performance in modeling and mapping landslide susceptibility at the study area, especially its performance is better than single MLP model (AUC = 0.78). Thus, it can be concluded that BG-MLP is powerful tool that can be employed for assessment of susceptibility of landslides in other landslide prone regions of the world. Map of landslide susceptibility created from this study would be useful for decision making and land use planning in reducing the harmful impacts of landslides.
Simulate landslide activities during flood season 2020 - 2021 in Phong Nha - Ke Bang National Park
Authors: Do Thien Quang , La Duong Hai , Ho Hoang Tung , Nguyen Thi Thanh Nhan , Tran Thanh Nhan , Chinkulkijniwat Avirut 
Published: August 2023

Abstract
Research highlights in study area, there are various small-scale landslide points occurred and located surround from major landslide point with already 42 field-investigated points. The core zone of study area has the gravity displacement coefficient (Kg) by 0.0006, the buffer zone has Kg by 0.0033, all of them are weak and relative stable. The core zone of the National Park has more than 60 landslide points with total area of 81.19 hectares, and total landslide soil volume is over 2.6 mil m3. The largest landslide volume in study area is about 2.4 mil m3, with added 14 large-scale lanslide volume from 1,000 to 65,000 m3. In particular, a number of slopes occurred consecutively during flood seasons in years of 2020 - 2021. Landslide activities strongly affecting the integrity and aesthetic value of Phong Nha – Ke Bang (PNKB) National Park with calculation results, for the largest landside point during rainny season in October, 2020, show that the sliding soil blocks have displaced more than 130 m, with low factor of safety (FS) by 0.32 and the total sliding soil volume is 2.1 million m3, also consistent with field monitoring data and analysis of remote sensing images (2.4 mil m3).
Experimental study on bending fatigue strength of adhesively bonded joints
Authors: Thay Visal , Osada Yuna , Kanazawa Yuta , Fujikura Shuichi , Nakamura Hitoshi , Horii Hisakazu 
Published: August 2023

Abstract
This paper focuses on the establishment of repair or strengthening method of steel structures by externally bonded patch plates. The bending static tests and bending fatigue tests of adhesively bonded joints were conducted and the fatigue life is evaluated. The Konishi E258R is used as an adhesive, and the bending fatigue tests were conducted, varying the applied stress ranges and the stress ratio, the ratio of minimum and maximum stress of fatigue test. The result indicates that the fatigue life of adhesively bonded joints can be evaluated in the function of principal stress ratio, the ratio of principal stress range against principal stress at debonding by the bending test, with constant linearity regardless of the stress ratio.
Compression self-sensibility of the concrete using high content carbon black with various measurement conditions
Authors: Chi Vo Minh , Lan Nguyen , Hai Nguyen Minh , Huong Nguyen Van 
Published: August 2023

Abstract
Self-sensing concrete (SSC) is a smart material created by dispersing a conductive filler into the concrete. This helps to increase the resistivity variation of concrete when the microstructure of the material changes under the effect of load. Thus, the stress, strain or damage of the concrete can be sensed by resistivity measurements of the concrete itself. This study aims to clarify the effects of parameters related to the measurement method on the self-sensibility of SSC. SSC specimens were prepared using carbon black with 7% volumetric content. A series of compression tests were conducted to investigate the relationship between the resistivity variation and the applied load of different test specimens in terms of excitation voltage, electrode distance and specimen size. The results show that the excitation voltage need to be large enough to generate a current of suitable stability when measuring the self-sensibility of SSC. The resistivity of all specimens decreased with increasing compressive load on the SSC specimen. The larger the specimen size and the smaller the electrode distance, the more pronounced the resistivity variation.
Building information modeling integrated with damage detection algorithm for structural health monitoring of bridge
Authors: Truong My-Pham , Dang Ngoc-Loi , Cao Van-Tuan , Ngo Trung-Chanh 
Published: August 2023

Abstract
In this paper, a method for damage monitoring of bridges using modal parameters is presented. At first, fundamentals of frequency-based damage occurrence alarming are introduced. Second, building information modeling (BIM) software is used to construct a 3D geometric model of a bridge. A custom tool add-in based on Microsoft Excel is linked and analyzed related data for damage detection of the bridge using modal parameters. A finite element model of a bridge girder is established to investigate vibration characteristics under prestressing loss and structural damage. Frequency-based damage detection is implemented to alarm the damage occurrence of an inspected bridge girder. Last, the structural information of the bridge is updated to the BIM model to provide the structural performance of the inspected structure. The result reveals that BIM integrated with the damage detection algorithm can efficiently facilitate structural health bridges.
Investigating the qualities of grouting material used modifiers in the semi-flexible pavement
Authors: Do Thi My Chinh , Nguyen Manh Tuan 
Published: August 2023

Abstract
Semi-flexible pavement has a more notable advantage over asphalt concrete pavement in terms of rutting performance. Cement grouting and open-graded asphalt concrete are components of the semi-flexible pavement. In cement grouting, two commercial modifiers from Sika Vietnam were used, Sika Latex and Sika TH Latex, with different contents from 4.5% to 7.5% for Sika Latex and 7.5% to 9.5% for Sika TH Latex. 72 samples of cement mortar were fabricated in laboratory conditions from PCB40. All cement grouts were cured at the age of 7 days. The paper results focus on the flexural strength and the compressive strength of both mortars, the suggestion of Sika content to produce the stable strength of cement grout, and the viscosity of cement mortar based on the Sika contents.
Proposing Binary Gravitational Search Algorithm Parameters for Back-calculation of Road Pavement Moduli
Authors: Le Dinh-Viet , Pham Ngoc-Phuong , Nguyen Quang-Phuc , Phan Cao-Tho 
Published: August 2023

Abstract
A Falling Weight Deflectometer is popular equipment to measure surface deflections under imposed loadings, providing the necessary parameters for back-calculating the elastic moduli of road pavements. There are several back-calculation programs available that accurately back-calculate pavement layer moduli. The Gravitational Search Algorithm (GSA), a metaheuristic optimization algorithm inspired by Newton’s law of universal gravitation, is one such algorithm. The Binary Gravitational Search Algorithm (BGSA) is an enhancement algorithm based on GSA that can be used as an efficient search algorithm for back-calculating pavement moduli based on matching measured and calculated surface deflection of road pavements. Choosing the best BGSA parameters is critical for accurate back-calculation of road pavement moduli. Nevertheless, there has not been much study on selecting the best BGSA parameters for back-calculating road pavement moduli in the literature. Therefore, this study proposes strategies for selecting BGSA parameters based on the least computational effort and the least root mean square error between measured and calculated road pavement surface deflections. In this study, the Burmister theory is discussed and the Richardson extrapolation is adopted to improve the accuracy of the calculated points near the pavement surface; the best parameter of BGSA including the agent size A of 50 and an iteration step T of 300 are suggested to back-calculating the road pavement moduli.
Infrared imaging for detection of defects in concrete structures
Authors: Singla Ritika , Sharma Shruti , Sharma Sandeep Kumar 
Published: August 2023

Abstract
Deterioration of concrete structures is an issue that affects the entire world and is brought on by various causes like climatic conditions, aging, attack of aggressive media, etc. Periodic inspections and proper maintenance are crucial to prevent the degradation of structures. Conventionally, the condition of the structures is monitored visually but over a while, non-destructive evaluation (NDE) technologies have gained significance and are expected to be successfully used for the inspection and management of civil structures. Infrared imaging is an effective NDT tool to monitor the health of civil structures. In this study, Infrared Thermography (IRT), an image-based method, is introduced and implemented for the assessment of concrete structures. Experiments on cement concrete cubes were conducted to investigate and enhance the applicability of the infrared thermography technique. The results are quite promising and helps to detect defects like delamination, voids, and cracks, etc. as the IR camera can pick-up the difference in temperature between sound and defective regions. However, the utilization of IRT for inspection poses many challenges but they can be overcome by combining it with other techniques like finite element method, acoustic emission and ultrasonic guided waves. Hence, the infra-red thermography technique is an excellent technology for practically evaluating concrete structures.
Strength development and microstructure evaluation of cement mortar incorporating various waste red brick powder
Authors: Ngo Thi-My , Vo Duy-Hai , Phan Nhat-Long , Nguyen Hoang-Anh 
Published: August 2023

Abstract
This research aims to evaluate the strength development and microstructure of a green mortar produced from waste red brick powder (WRP) as a partial cement replacement. The mortar samples were prepared with various WRP content of 0%, 10%, 20%, 30%, and 40% of total binder weight, and the w/b was fixed at 0.4. The fresh properties were checked by flowability and fresh unit weight. While the compressive strength was conducted up to 28 days. The mortar samples exhibited a reduction in flowability and unit weight with increasing WRP content. The incorporation of 10%-20% WRP improved the compressive strength of mortar samples at 28-day, while the compressive strength reduced with higher WRP content (30%-40%). The C-S-H/CaCO3 gel, Ca(OH)2 and ettringite were hydration products of WRP mortar samples. The incorporation with WRP significantly reduced the Ca(OH)2 content
Numerical investigation of the punching shear resistance capacity of reinforced concrete slab
Authors: Pham Thanh Binh , Mai Viet-Chinh , Nguyen Van Tu , Dao Cong-Binh 
Published: August 2023

Abstract
The article studies the punching shear capacity of reinforced concrete slabs by simulation method. Based on the Concrete Damage Plasticity (CDP) constitute model, the simulation model is established in the Abaqus software. The simulation model was verified by the comparison of punching shear tests. The parametric studies were implemented to investigate the effect of concrete and steel strength on the punching shear resistance capacity of the reinforced concrete slab. The punching shear resistance capacity of reinforced concrete slab was also calculated by the formulas proposed by available standards. Obtained results show that increasing concrete strength leads to a significant increment in the punching shear resistance capacity of slabs while the influence of steel strength is slight.
Investigation on the performance of polymer-modified stone matrix asphalt for bus rapid transport pavement
Authors: Lee Sang Yum , Le Tri Ho Minh 
Published: August 2023

Abstract
The application of the bus rapid transport (BRT) system has developed in many metropolitan cities owing to its cost-effective transportation which separates the bus routes from the private car route. However, the channelized bus load caused by narrow space operation in this road type leads to very fast pavement deterioration, especially, potholes and rutting issues have been a major concern in BRT pavement. Therefore, the main goal of this research is to develop a polymer-modified stone matrix asphalt (PSMA) with the aim of enhancing the permanent deformation resistance of pavement in this BRT section. PSMA mix designs were developed from different styrene-butadiene-styrene admixture contents and gradation types. Afterward, laboratory tests were conducted to evaluate the performance of the proposed mixture involving the dynamic modulus test and Hamburg wheel tracking test. The Falling Weight Deflectometer test was subsequently performed to verify the behavior of the best mixture in the severely damaged bus stop location in Seoul. The findings suggest that gradations impose a major impact on the performance of PSMA specimens, especially at high temperatures or low-frequency zone associated with congestion areas. In general, the test results confirmed the potential use of PSMA mixture to reinforce the bearing capacity of bus stop stations for sustainable infrastructure development.
Environmental Assessment of Limestone Calcined Clay Cement in Australia
Authors: Huang Guangtong , Zhuge Yan , Benn Bernard Thomas (Tom) , Liu Yue 
Published: August 2023

Abstract
The Australian government aims to achieve net-zero carbon emissions by 2050. Therefore, introducing a market-oriented carbon emissions trading scheme to offer a financial reward (or penalty) to those who emit below (or beyond) the allowed limits is expected. Under such a scheme, the cement industry is forced to reduce its energy consumption and carbon emissions. Limestone calcined clay (LC3) cement has been extensively studied and regarded as a promising solution to substitute ordinary cement clinker up to 50% without compromising the performance of concrete. In this paper, a comparative life cycle assessment (LCA) of the LC3 mortar considering cradle-to-gate system boundaries is conducted for the scenario in Australia. The LCA is undertaken on 122 collected LC3 mortar mix designs, and it includes the modification of traditional cement production to incorporate the calcined clay manufacture and evaluation of the environmental impact of different substitution levels. Results show that CO2 emissions associated with LC3 system production were reduced by up to 38% compared to Ordinary Portland cement mixtures.
Experimental and numerical evaluation of axial compression strengthening for corroded square reinforced concrete columns by carbon textile reinforced concrete
Authors: Dinh Huu Tai , Ngo Dang Quang , Ho Hoai , Nguyen Huy Cuong 
Published: August 2023

Abstract
This research focuses on analyzing the behavior of reinforced concrete (RC) columns under axial compression, both in their uncorroded and corroded states, through a combination of experimental and numerical investigations. For the experiment, seven specimens were prepared and manufactured subjecting to centric compression. The cross-sectional side length of the square columns was 200 mm. The column height was selected as 800 mm based on the dimensions of the testing machine. The specimens were divided into three groups: (i) the control columns, (ii) the corroded columns without strengthening, and (iii) the corroded columns strengthened with an external carbon textile reinforced concrete (TRC) layer. The experimental results showed that when the corroded columns had approximately 10% mass loss in longitudinal reinforcement and stirrups, the ultimate load was reduced by 5.7%. Meanwhile, the axial compression capacity of corroded columns strengthened by TRC layer was approximately 28% higher than the corroded unstrengthened ones. All tested specimens failed due to the buckling of the longitudinal reinforcement. The strengthened columns failed at the corners due to the rupture of the textile reinforcement. To validate the experimental results, a finite element (FE) modeling was presented.
Performance assessment of concrete considering the composition of coarse recycled aggregate
Authors: Nguyen Tien-Dung , Bastidas-Arteaga Emilio , Cherif Rachid , Mahieux Pierre-Yves , Lux Jérome , Aït-Mokhtar Abdelkarim 
Published: August 2023

Abstract
This study presents recycled aggregate concrete (RAC) properties considering coarse recycled aggregate (CRA) composition. The CRA is prepared by a French company with a fraction of 5-20 mm. The composition variability is created using a replacement coarse natural aggregate (CNA) ratio with CRA at 40%, 60%, and 80%. The composition CRA is determined by using convolutional neural networks (CNNs). The mix proportion for RAC used water to cement ratio (W/C) is 0.6, and the slump was 18-20 cm after one hour. The performance of RAC is assessed using compressive strength, porosity, and chloride diffusion coefficient. The results were compared to those for the original concrete. This paper shows the main results of evaluating the critical composition of recycled aggregate (RA), such as coarse recycled concrete aggregate, natural aggregate (NA), recycled brick, and tiles, on the properties of RAC.
A Comparative Study of UAV Lidar, UAV, and GNSS RTK on Infrastructure Survey
Authors: Vu Ngoc Quang , Nguyen Viet Ha , Ta Le Binh , Van Hung Tien 
Published: August 2023

Abstract
The advancement of the latest techniques allows surveyors to have various approaches to solving survey tasks. The paper is an experimental study on collecting terrain data using different techniques including Lidar on a UAV, normal UAV, and GNSS-RTK. The study uses the point clouds extracted from Agisoft for data from Phantom 4 RTK, and Copre for data from Lidar. The lidar method uses AA450, the first lidar product line of the CHC brand in Vietnam with a Livox Avia scanner. UAV phantom4 RTK uses a 1” CMOS camera, with 20M effective pixels. Both Lidar and UAV methods use the PPK processing technique, and flight altitude is 80m and 100m respectively while GNSS-RTK uses the single-base method at around 7km distance between base and rover. The study results show the deviations in coordinates are very small, and the differences in elevation of Lidar and Phantom4 RTK compare to GNSS-RTK range from 3-5cm at open positions. The differences in elevation between Lidar - GNSS-RTK and Phantom 4RTK-GNSS RTK are 5-8cm and 10-15 cm respectively at the low vegetation and sparse density positions. The differences in elevation between Lidar and GNSS-RTK method range from 8-15cm while Phantom 4RTK cannot reach the ground point at the high and dense vegetation. However, the deviations in elevation between Lidar and GNSS-RTK are 15-25cm at the low, dense positions.