bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Key Technology of Prefabrication and Assembling of the Viaduct Substructure in the Urban Central Area of the Middle Earthquake Region
Authors: Zhou Zhendong 
Published: June 2022

Abstract
Facing the difficulty of construction of viaducts in the central area of the city with short construction period and large daytime traffic. Relying on the Nairobi Airport viaduct project in Kenya, the problems in the construction of this project and the special seismic intensity of the area were analyzed. The key technologies in the design and construction of the bridge substructure using prefabricated assembly technology were studied, and a reasonable substructure analysis was put forward. Block principle and assembly connection plan, and focus on the key construction technology of pier column and cap beam assembly. Through the research on the key technology of substructure design and prefabrication assembly and the application of engineering examples, the problem of viaduct construction in urban restricted road sections in the earthquake zone with moderate intensity is effectively solved.
Grey Clustering Evaluation of Prefabricated Building Construction Safety Based on Anp
Authors: Bao Xuanxuan 
Published: June 2022

Abstract
Starting from the four common types of safety accidents at the construction site of prefabricated buildings, the theory of cause of accidents is used to discover the main causes of accidents, and the construction safety evaluation indicators are extracted from them and the safety risk evaluation index system is constructed. Then combined with the application of network level analysis and mixed central point triangle whitening weight function to build a model that can evaluate the safety risk of prefabricated building construction. Finally, the model is tested with examples, and factors in an unsafe state are identified and suggestions are made. Provide models and references for the safety management of prefabricated construction sites, thereby reducing safety accidents on the construction site.
Research on Differences and Effects of Lateral Distribution Characteristics of Multi-lane Traffic Flow on Freeway
Authors: Zhao Shaojie , Ruan Luquan 
Published: June 2022

Abstract
In order to obtain the probability distribution characteristics and change rules of the vehicle flow in different lanes of the expressway, based on the WIM data, the probability statistics analysis of the distribution characteristics of the vehicle type, the distance between the heads, the vehicle weight, and the speed on the different lanes of the expressway was carried out, and based on the extreme value theory. The extreme vehicle weights of different lanes were extrapolated, and the load effect was further analyzed. The results show that the probability distribution of vehicle types in each lane is different. Vehicles on one-way two-lane expressways have obvious two-tier distribution probabilities. For slow lanes, the selection probability of vehicles with 3 axles and above exceeds 0.85;The selection probability of cars with 3 axles and above on the slow lane of a one-way 3-lane expressway is higher than 0.4, while the selection probability of cars with 2 axles is about 0.15; The lateral distribution of vehicle weight meets the law of increasing from the inner lane to the outer side. The average vehicle weight of the same model on the slow lane is about 1.3-2.0 times that of the fast lane, and the average total weight of the middle lane of the three lane high-speed is the largest; The probability density distribution of vehicle weight in slow lane shows the characteristics of thick tail and long tail, while that in fast lane shows single peak distribution, and the vehicle weight is mainly concentrated in 3000kg; Each vehicle has a specific speed range, and the vehicle mixing ratio has a certain impact on the vehicle speed. The average speed of 2-axle vehicles in the same lane is 20km · h-1 higher than that of 3-axle and above vehicles. The extrapolation results of the extreme value of the load effect show that the bending moment effect of the slow lane is about 1.3-1.4 times that of the fast lane and 1.1-1.2 times that of the middle lane. The middle-span bending moment effect value increases from the inner lane to the outer lane. The transverse reduction coefficients of vehicle load on multi-lane expressways are all higher than the normative values.
Optimization of the Underground Bidirectional BRT Ventilation Systems
Authors: Shen Tianqing , Shen Xingwei 
Published: June 2022

Abstract
The urban traffic is a common concern in the large cities around the world, and th calls for high technology to improve its efficiency and reduce its costs. The underground traffic development is one solution used often in the metropolitan cities like Paris and London. In China, the ventilation system of the underground bidirectional BRT still needs more refinement to achieve the sustainable development, though the underground traffic system has developed very fast. The airfoil structure is adopted abroad to dilute the polluted air in the subway stations and increase the ventilation efficiency, yet it has not been applied in China. This paper studies the reduction of the piston wind loss by airfoil structure on the basis of piston principle, so as to improve the role of the piston wind in the ventilation process. In the mathematical simulation, it is also proved that this method can substantially increase wind energy by 63.27% per meter of the underground road, improving the ventilation efficiency of the underground BRT. Due to the failure to refine the parameter curve of the airfoil structure, the simulation data has some deviations. In future studies, in order to make up for the shortcomings of this study, it is necessary to use XFLR software to carry out refined parameter analysis of laminar airfoil.
Fire Characteristics of High-speed Intercity Train with Different Door Opening in Tunnel
Authors: Chen Zheng , Guo Chun , Zhao Wei , Zhang Ke 
Published: June 2022

Abstract
In order to explore the fire characteristics of high-speed intercity train running with fire under different door opening conditions in the tunnel, this paper studied the fire of intercity train running with fire based on the fire simulation software, calculated and designed 10 different door opening conditions, and obtained: when the side door behind the fire source is opened and the door in front of the car is also opened, the distribution range of high temperature and smoke in the fire carriage is reduced by about half, and the visibility less than 5m only exists behind the fire source. When all the front and rear doors of the train are opened, the maximum temperature at the monitoring point is the lowest. It is suggested that after passengers of the burning intercity train are evacuated to other carriages, close the corridor door of the external carriage, and open all side doors at the front and rear sides of the on-fire train carriage for ventilation and cooling.
Human-Induced Response and Reliability Analysis of Stochastic Dynamic System
Authors: Yang N , Jia Y T 
Published: June 2022

Abstract
This paper proposed a method analyzing crowd-induced stochastic vibration response by the dynamic reliability method. The efficiency of the probability density evolution method (PDEM) is improved by embedding the Kullback-Leibler (K-L) relative sensitivity analysis in response analysis of stochastic dynamic system. Then the complicated point selection technique of high dimension uncertain variables is avoided. The proposed method is illustrated by the response analysis of random crowd-structure interaction system where the load parameter randomness is considered. The acceleration induced by the crossing of crowd is predicted with the proposed method. Results obtained highlight the computation improvement in PDEM probabilistic response analysis in high dimension dynamic system. And the method could be used as an efficient way to predict and evaluate vibration serviceability of structures with human-induced vibration.
High order compact split step finite difference method for two-dimensional coupled nonlinear Schrödinger system
Authors: Zhu Pengfei , Wang Lan , Li Qiang 
Published: June 2022

Abstract
In this paper, a decoupled and efficient finite difference method is developed for two-dimensional coupled nonlinear Schrödinger (CNLS) system. The proposed method uses split step technique for the temporal discretization and high order compact (HOC) difference approximation for the spatial discretization. The original problem is decomposed into a two-dimensional linear subproblem and a two-dimensional nonlinear subproblem. For the two-dimensional linear subproblem, the Lie-Trotter splitting formula is adopted in time to reduce computational cost. While for the nonlinear subproblem, it can be integrated directly and exactly. By the von Neumann approach, it is showed that the proposed method is unconditionally stable. Numerical examples are conducted to compare it with other scheme and numerical results verified the superiority of the proposed method in terms of accuracy and efficiency. The new method also exhibits good numerical performance in long-time simulation.
Study on inter-provincial transmission model based on new energy
Authors: Song Li , Li Guodong , Sun Tian 
Published: June 2022

Abstract
With the increasing proportion of new energy into the power grid, environmental management and energy supply issues are becoming more and more prominent. In the current severe environment and energy situation, high-quality development of new energy and rational allocation of energy has become an urgent problem to be solved. In China, some regions are rich in clean energy resources, such as wind and solar energy. New Energy can not be absorbed on the spot. In view of this, on the premise of satisfying the security and stability of the power grid and the efficient operation of the transmission channel, the wind-fire combined transmission mode is proposed, the interests of all parties involved in the cross-provincial transaction are analyzed, and the inter-provincial transmission model is constructed, effectively relieves the pressure of the abandoned wind power and the abandoned nest power.
Keyphrase generation algorithm based on co-occurrence graph
Authors: Fang Haisheng , Yang Peng 
Published: June 2022

Abstract
In the keyphrase prediction task, it is usually difficult for a single corpus information to help the model learn enough core information, so this paper improves the current keyphrase generation method based on the corpus. From the developments of the co-occurrence, the use of the word conformity is mentioned in the original selection of the relevant text, and the purpose of achieving the maximum utilization of the spending information is achieved. At the same time, this paper proposes the CG-Net model, which uses the GAT network to learn co-present diagrams and implements a replication mechanism, which ultimately surpasses the current optimal method on the NUS test set.
Enhanced Communication in Void Region of Underwater Wireless Sensor Network using Vector-Based Void Avoidance Comparing with Void Aware Pressure Routing Protocol
Authors: Murali Krishna M. , Sivasakthiselvan S. 
Published: June 2022

AbstractThe aim of the proposed work is to improve the energy efficiency of sensor nodes in underwater wireless sensor networks using Vector-based void avoidance (VBVA) in comparison with void-aware pressure routing (VAPR). The performance of vector-based void avoidance uses the vector shift and backpressure mechanisms compared with the void-aware pressure routing protocol. A total of 34 samples are collected and 17 samples for each group is taken to the data sets. The proposed algorithm is tested in an underwater virtual environment by Aquasim in the NS2 simulator. The throughput, energy consumption, and packet delivery ratio are calculated to evaluate the performance of the proposed VBVA Protocol. The energy efficiency of the proposed vector-based void avoidance protocol is improved by avoids of void nodes and forward data packets. The Throughput mean value is (1.3297), Energy consumption mean value is (0.9960) and Packet delivery ratio mean value is (91.1735) achieved using VBVA protocol. This work has obtained significance (<0.01). The simulation results show that reduction of packet loss and improve the energy efficiency of the sensor network using the proposed VBVA algorithm in comparison with VAPR.
Investigation of PCM thermal effectiveness towards an optimised design of cooling building envelope
Authors: Al-Obaidi A S M , Chew H J , Gunasagaran S , Hoi J W 
Published: June 2022

Abstract
The buildings are responsible to 40% of the global greenhouse gas emission. To tackle the climate change, the development of sustainable building is urgent. Phase Change Material (PCM) as a potential material was suggested to integrate in building envelope to maintain a constant room temperature. This paper investigated the thermal performance of the PCM in building envelope at tropics and optimizes the cooling effect by manipulating melting temperature, thickness, position, and the type of PCM. ANSYS FLUENT software is used to model the 2D cross-sectional area of the steel roof and brick wall. With the input of 2 normal days outdoor temperature, the results of simulated indoor surface temperature are compared with the control set to determine the optimum setting while monitoring on its cost-effectiveness. The results showed that the optimum melting temperature of PCM is 29 °C for brick wall application and 31 °C for steel roof application. In normal day, PCM can reduce the peak indoor surface temperature up to 4 °C. Although in the evening, PCM delays the time for the room to cool off, but for the normal warehouse operating hours this is not affecting the thermal comfortability of the workers.
Reduction of energy consumption for tire test room through efficient heat management
Authors: Wong J S , Tien D T K , Lim S C , Sarmin K R 
Published: June 2022

Abstract
Maintaining temperature stability and minimizing the time taken to reach the desired test temperature range in tire test rooms were challenges faced by Continental Tyre Technology Centre Malaysia. Heat generated during the endurance test increased the temperature of the room and if it exceeded the test temperature range, a restart of the test is required which leads to greater energy consumption. The objective of this study was to maintain temperature stability during testing and to reach the desired test temperature range efficiently during start up. Computational Fluid Dynamics (CFD) simulation through ANSYS Fluent was performed using information obtained from Continental. The heat distribution of the heater and the air-conditioner, and the airflow of the air-conditioner in the existing tire test room were investigated through simulation. Based on the results, a modified version of the tire test room was simulated to investigate for possible improvements. From this simulation, recommendations were proposed to Continental. The findings showed that optimizing the layout and location of the air-conditioner yielded improvements in the cooling rate at certain regions while a more suitable location for heater reduced the time taken to heat up certain regions.
Modelling Background Seismicity Source For Probabilistic Seismic Hazard Analysis In Manado City, North Sulawesi
Authors: Zulkifli M. , Triyoso Wahyu 
Published: June 2022

Abstract
This study is used a background source model to calculate probabilistic seismic hazard analysis (PSHA) in Manado City. The gridded seismicity model is applied to characterize the background source model based on the seismicity rate on each grid 0.1 × 0.1 degrees. The results obtained from this study was the contribution of background sources for PSHA in Manado City for the probability of excedence 10% in 50 years is 0.18 ≥ g ≤ 0.19.
Hypocenter Determination using a Non-Linear Method in Bali, Lombok, and Nusa Tenggara Regions: Preliminary Result
Authors: Priyambada F R , Nugraha A D , Supendi P 
Published: June 2022

Abstract
Bali, Lombok, and Nusa Tenggara are the region in the south of the Indonesia Archipelago. This region has relatively high seismicity due to subduction activity and faulting. The first step of the tomography study for inferring the geometry structure beneath Bali, Lombok, and Nusa Tenggara is to conduct precise hypocenter location. In this study, we used waveform data from the Indonesian Agency for Meteorology, Climatology, and Geophysics (BMKG), which the study area is between 1120 – 1280 E and 40 – 130 S. Our preliminary results, we have re-picked 7,967 P-wave and 3,254 S-wave arrival times for 933 events in the period from January to March 2019. The non-linear method was conducted using the oct-tree sampling algorithm from the NLLoc program to determine the hypocenter’s location. We also compared the results with BMKG catalog data. Our results show better clustering earthquakes with RMS error mostly close to zero and represent the geological structure in this region. The results show a shift in the location of the epicenters between 0.1 km to 1000 km, while for the focus depth between 0.006 - 500 km, with the azimuth shift being dominated to the northeast and southwest. The future and ongoing works, we will conduct a tomography study to imaging 3-D seismic velocity models beneath Bali, Lombok, and Nusa Tenggara regions using the fast-marching method.
Exploring multi-planet system wasp-148 using n-body simulation and deep learning
Authors: Ikhsan M. I. , Arifyanto M. I. 
Published: June 2022

Abstract
The search of exoplanets this day is focusing on finding planet with small mass or exoplanet with similar mass with Earth. One of the detection methods that sensitive enough to detect this kind of planet is transit timing variation method (TTV). This method detects planet using its perturbation to the transiting planet that could be observed by its small variation on the transit curve. From the TTV signal, the planets parameter such as mass and eccentricity could be estimated. One of the methods to determine exoplanet parameters from TTV signal is using N-body simulation to find the best planet configuration that could replicate the TTV signal from observation. However, this method is computationally expensive because there are so many combinations of planet configuration that must be simulated to find the best configuration. By using machine learning technique, we can make this simulation faster and more efficient by predicting the initial condition before hands. We combine photometric data from space and ground based observation for exoplanet system WASP-148 and use that data as input on our machine learning model. Then finally we can estimate the exoplanet parameters using N-body simulation
Terrain Correction in Gravity Data Processing using Hybrid Land Survey and Shuttle Radar Topography Mission Digital Elevation Model: A Case Study in Mount Pandan, Indonesia
Authors: Gunawan I , Alawiyah S 
Published: June 2022

Abstract
A clean corrected complete Bouger anomaly would perform reasonable geological subsurface interpretation. As a part of the processing phase, the terrain correction has a significant influence. Since the terrain correction entangles a vast area, it is not easy to fulfill with land survey. Our study aimed to apply an SRTM DEM in addition to land survey data to overcome a satisfactory terrain correction. We have applied the SRTM data to calculate the terrain correction for the outer zone (i.e., D to M) using the Hammer method. In Mount Pandan, Indonesia, we have set this method to generate a complete Bouguer anomaly as a case study. The terrain correction in the outer zone has corrected the gravity anomaly up to 14.74 mGal. The result shows that the hybrid elevation data may provide sufficient terrain correction in gravity data processing for practical geological subsurface interpretation.
Study to explore the use of Quality Factor of Body Waves (S waves) as a tool to investigate the soil liquefaction potential
Authors: Handayani G. , Hariawan A. F. 
Published: June 2022

Abstract
Liquefaction events occur in deposits of saturated loose sand. Due to the incompressible nature of water, the pore water pressure rises dramatically. Built-up pressure pushes sand particles so that the effective stress between particles becomes zero. Or in other words, these sand particles do not touch each other in the water. So these sand particles are now ^swimming^ in water. These sand deposits behave like water, can flow, and do not have shear strength like normal soil. Not having shear strength means that this soil does not have the carrying capacity of the regular soil against loads above the ground such as buildings etc. This research investigates the possibility of using the Q (quality) factor of seismic waves to estimate the potential liquefaction of soil deposits. We employ Ottawa sand in the laboratory and apply various vibrations using small shaking tables. The results promise of possibilities of using the Q (quality) factor to estimate potential liquefaction.
Measurement of multi-stage triaxial compression test and static elastic parameters of shale samples from the Talangakar formation for a feasibility study of shale gas in the South Palembang sub-basin, South Sumatra
Authors: Prayanto Dwi Tunggal Adi , Nurhandoko Endar Bagus B. , Sunardi Edy 
Published: June 2022

Abstract
Shale gas is an unconventional gas source that has great potential to be developed and produced in the future. One area that has great potential in Indonesia is in the South Sumatra basin. For good hydrofracturing planning, we used samples from core rock specimens from field well B in the Talangakar formation at a depth of 2289 m with shale lithology located within the South Palembang sub-basin in the South Sumatra basin. We tested the sample by multi-stage triaxial (MST). MST is a compression test requiring only one rock specimen to be tested in three cycle stages with different confined pressures From this test, the curve of Stress-Strain, yield point, elastic zone and plastic zone is obtained. Then it can also be generated Mohr-Coulomb curve, elastic parameters, i.e: Young’s modulus, Poisson’s ratio, etc. The results of this measurement are also useful for predicting the minimum horizontal stress which is very important in the design of hydraulic fracturing in shale gas.
Digital Rock Physics Application in Determining The Porosity of Shale Rock
Authors: Pramana A A , Riantomo G , Oktaviani A P , Setiabudi I , Latief F D E , Gibrata M A 
Published: June 2022

Abstract
This research is focusing on determining the porosity of shale rock using the Digital Rock Physics (DRP) method. The DRP method uses fiji software to process μCT-scan data of shale coreplug through segmentation and thresholding processes to determine the pores of the rock and then to determine the value of rock porosity. The purpose of this research is to be able to determine the value of rock porosity more quickly and to verify the DRP porosity result to that of laboratory test. The result shows that the porosity value obtained by the DRP method and laboratory test has a small difference so that the DRP method is quite reliable.
Relative Permeability from Digital Analysis of a Carbonate Synthetic Core
Authors: Pramana A A , Ray D R M , Latief F D E , Gibrata M A 
Published: June 2022

Abstract
This research discusses the digital core to understand better the petrophysics parameters, especially the relative permeability of carbonate rocks. The method used in this research is descriptive-analytic by using primary data. The primary data is sample core data (digital data) collected and processed directly to compare results from digital data to laboratory data. This research indicates a relationship between the results from digital data with the results from laboratory data such as porosity, permeability, and trendline of a curve from relative permeability. Analysis from the research results shows that the relative permeability value was caused by several factors, i.e., wettability, cementation, clay, and bound water constant.