4.7 Article

Optimized machine learning approaches for identifying vertical temperature gradient on ballastless track in natural environments

Related references

Note: Only part of the references are listed.
Article Thermodynamics

Time-varying non-uniform temperature distributions in concrete box girders caused by solar radiation in various regions in China

Xingwang Sheng et al.

Summary: In this study, a thermodynamic analysis of concrete box girders was conducted using a real-time shadow-selection algorithm and finite element method to simulate their time-varying temperature distributions. The study involved the establishment of a series of finite element models for concrete box girders considering regional influences, and the investigation of temperature gradients in different climatic zones in China. The study also examined the influences of varying environmental factors induced by regional influences on structural temperature distributions.

ADVANCES IN MECHANICAL ENGINEERING (2022)

Article Mathematics

Vertical Nonlinear Temperature Gradient and Temperature Load Mode of Ballastless Track in China

Bin Yan et al.

Summary: Based on the finite element software ANSYS, this paper studies the nonlinear temperature distribution law of ballastless track and proposes a vertical temperature load model suitable for typical areas in China. The proposed model can compensate for the deficiencies in current specifications and has significant engineering application and popularization value.

MATHEMATICS (2022)

Article Construction & Building Technology

Classification of surface settlement levels induced by TBM driving in urban areas using random forest with data-driven feature selection

Dongku Kim et al.

Summary: This study presents a machine learning framework to predict surface settlements induced by urban area tunneling. A data-driven feature selection method is used to identify relevant features. The results show that the proposed feature selection approach improves prediction accuracy and F1 score, enhancing the applicability of machine learning for complex tunneling sites.

AUTOMATION IN CONSTRUCTION (2022)

Article Construction & Building Technology

A prediction model for compressive strength of CO2 concrete using regression analysis and artificial neural networks

Vivian W. Y. Tam et al.

Summary: CO2 Concrete is an environmentally friendly construction material that reduces CO2 emissions and conserves natural resources. The compressive strength of CO2 Concrete can be accurately predicted using artificial neural networks.

CONSTRUCTION AND BUILDING MATERIALS (2022)

Article Engineering, Mechanical

Structural damage analysis of CRTS II slab track with various interface models under temperature combinations

Rui Zhou et al.

Summary: This study developed six types of three-dimensional nonlinear finite element models to investigate the thermal behavior of cement asphalt mortar (CAM) layer and Tshaped joint under various temperature conditions in China Railway Track System type II slab ballastless track. The results showed that the cohesive zone model (CZM) and concrete damaged plasticity model (CDPM) were capable of simulating the interlaminar debonding and damage behavior development in CRTS II track under different temperature conditions. The increase of overall temperature and temperature gradient significantly affected the deformation and stress in CAM layer.

ENGINEERING FAILURE ANALYSIS (2022)

Article Engineering, Civil

Assessment of punching shear strength of FRP-RC slab-column connections using machine learning algorithms

Gia Toai Truong et al.

Summary: This study pioneers the application of machine learning algorithms for predicting the punching shear strength of FRP-C slabs without shear reinforcement. Through the evaluation of experimental data and three ML algorithms, it is found that the XGBoost-based model performs the best in terms of prediction accuracy. This model can be reliably and accurately used in the design and evaluation of FRP-RC slabs.

ENGINEERING STRUCTURES (2022)

Article Engineering, Civil

Temperature Prediction of Flat Steel Box Girders of Long-Span Bridges Utilizing In Situ Environmental Parameters and Machine Learning

Zhi-wei Wang et al.

Summary: This study proposes two novel methods for calculating the temperature field in flat steel box girders and introduces regression models based on environmental variables for prediction. The random forest model shows significantly better predictive performance compared to other models, and considering the time-lag effect further improves the predictions.

JOURNAL OF BRIDGE ENGINEERING (2022)

Article Construction & Building Technology

Experimental and numerical investigation on the non-uniform temperature distribution of steel beams with corrugated web under solar radiation

Shiji Huang et al.

Summary: This paper investigates the non-uniform temperature distribution of corrugated web steel beams under solar radiation through experimental and numerical simulation studies. The results confirm the existence of a major non-uniform temperature distribution in the corrugated web steel beams and show that the temperature fields of these beams are more complicated compared to flat-webbed steel beams.

JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2022)

Article Engineering, Mechanical

Velocity pulse effects of near-fault earthquakes on a high-speed railway vehicle-ballastless track-benchmark bridge system

Ling-Kun Chen et al.

Summary: This research utilizes Finite Element Analysis (FEA) technique to simulate the impact of near fault (NF) ground motions on high-speed train operations. The study validates the Train-Track-Bridge Dynamic Analysis (TTBDA) and reveals the significant effect of seismic reactivity in bridge structures on the safety of high-speed train operations.

VEHICLE SYSTEM DYNAMICS (2022)

Article Construction & Building Technology

Computer vision-based classification of concrete spall severity using metaheuristic-optimized Extreme Gradient Boosting Machine and Deep Convolutional Neural Network

Hieu Nguyen et al.

Summary: This paper presents alternative solutions for classifying concrete spall severity based on computer vision approaches. XGBoost optimized by the Aquila metaheuristic and used with ARCS-LBP achieved an outstanding classification performance with a classification accuracy rate of roughly 99% for real-world concrete surface images.

AUTOMATION IN CONSTRUCTION (2022)

Article Construction & Building Technology

Temperature field and thermal effects of the longitudinal connected slab track based on the measurement data and thermal-fluid-structure coupling analysis

Qian Zhang et al.

Summary: The temperature field and thermal effects play a crucial role in the serviceability of the longitudinal connected slab track and the safety of high-speed trains, making it essential for in-depth understanding. By establishing a three-dimensional thermal-fluid-structure coupling analysis model, meteorological factors are comprehensively considered to thoroughly investigate the temperature field and thermal effects of the slab track. Uneven distribution of track temperature causes uneven deformation of the precast slab, emphasizing the importance of monitoring construction temperature during hot seasons to prevent excessive deformation and instability.

CONSTRUCTION AND BUILDING MATERIALS (2022)

Article Construction & Building Technology

A hybrid approach to predict vertical temperature gradient of ballastless track caused by solar radiation

Tao Shi et al.

Summary: This study proposes a hybrid approach that combines experimental and finite element analysis with machine learning techniques to predict the vertical temperature gradient (VTG) of ballastless track induced by solar radiation. The results show that the CATBOOST-based hybrid approach is the most appropriate method for determining the VTG of ballastless track.

CONSTRUCTION AND BUILDING MATERIALS (2022)

Article Engineering, Multidisciplinary

Vertical temperature gradients of concrete box girder caused by solar radiation in Sichuan-Tibet railway

Tao Shi et al.

Summary: This study investigated the nonlinear temperature distributions of concrete box girders on the Sichuan-Tibet railway caused by solar radiation using experimental analysis, real-time shadow-selection algorithm, and finite element method. The results showed that the vertical temperature gradient values first rise, then decrease, and finally rise again from Chengdu to Lhasa, with samples forming a normal distribution.

JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A (2022)

Article Computer Science, Interdisciplinary Applications

Gradient tree boosting machine learning on predicting the failure modes of the RC panels under impact loads

Duc-Kien Thai et al.

Summary: This paper proposes a new approach using machine learning to predict local damage of RC panels under impact loading, providing a new pathway for predicting structural behavior despite lower accuracy than expected.

ENGINEERING WITH COMPUTERS (2021)

Article Biochemical Research Methods

DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy

Ruopeng Xie et al.

Summary: Virulence factors (VFs) play a crucial role in pathogen-host interactions. Current methods for predicting VFs face challenges in identifying novel factors and lack systematic feature engineering efforts. Addressing these issues could lead to improved accuracy in VF prediction.

BRIEFINGS IN BIOINFORMATICS (2021)

Article Construction & Building Technology

Study on the damage evolution of the joint and the arching deformation of CRTS-II ballastless slab track under complex temperature loading

Yichen Huang et al.

Summary: This study investigates the damage initiation and evolution of the wide and narrow joint in the longitudinal CRTS-II track using a refined finite element model. The analysis shows that tensile damage causes initial cracks inside the narrow joint, and the increase of compressive damage leads to the final failure of the narrow joint concrete. Additionally, joint damage impacts the upper-arch mechanism on the track slab, with a linear increase in arch height as joint damage degree rises.

CONSTRUCTION AND BUILDING MATERIALS (2021)

Article Engineering, Multidisciplinary

Machine learning method to predict and analyse transient temperature in submerged arc welding

Shib Sankar Sarkar et al.

Summary: Heat distribution in submerged arc welding process significantly impacts weld quality. This paper proposes a machine learning method to predict and analyze temperature in SAW process, which is experimentally validated to closely match the predicted results with experimental data.

MEASUREMENT (2021)

Article Computer Science, Artificial Intelligence

A stacking-based ensemble learning method for earthquake casualty prediction

Shaoze Cui et al.

Summary: The prediction of casualties in earthquake-stricken areas plays a crucial role in rescue efforts. This study proposes an effective prediction method based on ensemble learning and swarm intelligence algorithm, which integrates multiple base learners and optimizes key parameters to improve prediction accuracy. Experimental results show that this method performs well in integrating prediction results and enhancing prediction accuracy.

APPLIED SOFT COMPUTING (2021)

Article Mechanics

Identification of the interfacial cohesive law parameters of FRP strips externally bonded to concrete using machine learning techniques

Miao Su et al.

Summary: The study presents a machine learning-based artificial neural network approach to automatically identify the interfacial cohesive parameters between fiber-reinforced polymers and concrete. By utilizing a refined finite element model with a cohesive zone model and a trained ANN model, the cohesive law parameters can be accurately identified, showing high accuracy even for cases falling outside the training dataset gap.

ENGINEERING FRACTURE MECHANICS (2021)

Article Construction & Building Technology

Thermal performance of the solar reflective fluorocarbon coating and its effects on the mechanical behavior of the ballastless track

Yang Li et al.

Summary: The study investigated the impact of a novel solar reflective fluorocarbon coating on the performance of ballastless tracks of high-speed railways at high temperatures. Experimental and numerical analysis showed that the coating can effectively reduce temperature deformation and improve mechanical behavior of the track components.

CONSTRUCTION AND BUILDING MATERIALS (2021)

Article Construction & Building Technology

Interface damage and arching mechanism of CRTS II slab track under temperature load

Xuhao Cui et al.

Summary: The study investigates the interface damage and arching deformation of CRTS II slab track under high-temperature conditions. Joint concrete damage is identified as the main factor leading to interface damage and arching, with higher levels of joint concrete damage resulting in increased interface damage area and gap height, especially under overall temperature rise. More attention is needed on the construction quality and maintenance of joint concrete.

CONSTRUCTION AND BUILDING MATERIALS (2021)

Article Computer Science, Information Systems

Emerging Technologies of Deep Learning Models Development for Pavement Temperature Prediction

Abdalrhman Milad et al.

Summary: The study reveals promising potential for deep learning techniques in predicting asphalt pavement temperature, with the Bi-LSTM model showing outstanding performance due to its superiority in feature extraction and multidimensional data processing. This model deserves attention for its robustness and capability in predicting asphalt pavement temperature.

IEEE ACCESS (2021)

Article Construction & Building Technology

Optimization of PCM coating and its influence on the temperature field of CRTSII ballastless track slab

Hailou Jiang et al.

CONSTRUCTION AND BUILDING MATERIALS (2020)

Article Engineering, Civil

Bridge Temperature Profiles Revisited: Thermal Analyses Based on Recent Meteorological Data from Nevada

Leanne Lawson et al.

JOURNAL OF BRIDGE ENGINEERING (2020)

Article Engineering, Civil

Experimental Vibration Investigation on High-Speed Railway Ballastless Track-Subgrade Structure

Jin Chen et al.

INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS (2020)

Article Engineering, Civil

Machine learning model for predicting structural response of RC slabs exposed to blast loading

M. K. Almustafa et al.

ENGINEERING STRUCTURES (2020)

Article Construction & Building Technology

Experimental and numerical analysis on concrete interface damage of ballastless track using different cohesive models

Jiawei Zhang et al.

CONSTRUCTION AND BUILDING MATERIALS (2020)

Article Construction & Building Technology

A machine learning study of the dynamic modulus of asphalt concretes: An application of M5P model tree algorithm

Ali Behnood et al.

CONSTRUCTION AND BUILDING MATERIALS (2020)

Article Computer Science, Information Systems

Transient Stability Assessment of Power System Based on XGBoost and Factorization Machine

Nan Li et al.

IEEE ACCESS (2020)

Article Construction & Building Technology

Deformation behavior of slab warping for longitudinal continuous rigid slab under temperature effect

Zui Chen et al.

ADVANCES IN STRUCTURAL ENGINEERING (2019)

Article Engineering, Mechanical

Arching mechanism of the slab joints in CRTSII slab track under high temperature conditions

Xiao-Pei Cai et al.

ENGINEERING FAILURE ANALYSIS (2019)

Article Engineering, Geological

Performance of Cement Asphalt Mortar in Ballastless Slab Track over High-Speed Railway under Extreme Climate Conditions

Jinfeng Wang et al.

INTERNATIONAL JOURNAL OF GEOMECHANICS (2019)

Article Engineering, Civil

Experimental Analysis of Temperature Gradient Patterns of Concrete-Filled Steel Tubular Members

Jiang Liu et al.

JOURNAL OF BRIDGE ENGINEERING (2019)

Article Construction & Building Technology

Experimental and finite element investigation of temperature distributions in concrete-encased steel girders

Sallal R. Abid et al.

STRUCTURAL CONTROL & HEALTH MONITORING (2018)

Article Engineering, Civil

Experimental study on bridge-track system temperature actions for Chinese high-speed railway

Ping Lou et al.

ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING (2018)

Article Construction & Building Technology

Statistical model optimized random forest regression model for concrete dam deformation monitoring

Bo Dai et al.

STRUCTURAL CONTROL & HEALTH MONITORING (2018)

Article Thermodynamics

Influence of track line environment on the temperature field of a double-block ballastless track slab

Zhiping Zeng et al.

ADVANCES IN MECHANICAL ENGINEERING (2018)

Article Engineering, Civil

Temperature Characteristics Analysis of the Ballastless Track under Continuous Hot Weather

Rongshan Yang et al.

JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS (2017)

Article Construction & Building Technology

Experimental verification of the support vector regression based structural identification method by using shaking table test data

Jian Zhang et al.

STRUCTURAL CONTROL & HEALTH MONITORING (2008)