Xiaocheng Huang

ORCID: 0000-0001-8119-6807
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About
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Research Areas
  • Geotechnical Engineering and Analysis
  • Landslides and related hazards
  • Geotechnical Engineering and Underground Structures
  • Rock Mechanics and Modeling
  • Geotechnical Engineering and Soil Stabilization
  • Grouting, Rheology, and Soil Mechanics
  • Geotechnical Engineering and Soil Mechanics
  • Dam Engineering and Safety
  • Soil and Unsaturated Flow
  • Automated Road and Building Extraction
  • Data Management and Algorithms
  • Tunneling and Rock Mechanics
  • Geophysical Methods and Applications
  • High-Velocity Impact and Material Behavior
  • Drilling and Well Engineering
  • Video Surveillance and Tracking Methods
  • Geoscience and Mining Technology
  • Geomechanics and Mining Engineering
  • Coal Combustion and Slurry Processing
  • Landfill Environmental Impact Studies
  • Traffic Prediction and Management Techniques
  • Numerical methods in engineering
  • Recycling and utilization of industrial and municipal waste in materials production
  • Medicinal Plants and Bioactive Compounds
  • Vibration and Dynamic Analysis

Hunan University of Science and Technology
2012-2025

Chongqing University
2016-2024

Jiangsu Cancer Hospital
2023

Nanjing Medical University
2023

Zhejiang Institute of Special Equipment Inspection
2023

Changsha University of Science and Technology
2020-2021

University of Benin
2021

Lishui Central Hospital
2021

Nankai University
1996-2013

Chinese Academy of Sciences
2013

10.1061/ajrua6.rueng-1268 article EN ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering 2024-05-03

Accurately determining the mechanical parameters of surrounding rock in tunnel design and construction presents a significant challenge due to complexity environment. This study proposes novel approach for inverting these using an advanced optimization method, Improved Grey Wolf Optimization (IGWO), integrated with BP neural network (IGWO-BP). Key enhancements such as cubic chaotic mapping, refraction backward learning, nonlinear convergence factors, updated position formulas were applied...

10.3390/app15020537 article EN cc-by Applied Sciences 2025-01-08

This paper aims to propose a new method analyze the stability of tunnel using P-wave seismic velocity (Vp) with help Tunnel Seismic Prediction 203 plus system (TSP203PLUS). On one hand, relationship between Hoek-Brown constants such as geological strength index (GSI) and disturbed parameter (D) Vp is investigated. other displacement derived criterion, but it hard determine because uncertainties are abundant in geomaterials. Fortunately, can be read from TSP203PLUS, which an essential...

10.1061/(asce)gm.1943-5622.0001245 article EN International Journal of Geomechanics 2018-08-31

Real-world GPS trajectory datasets are essential for geographical applications such as map inference, matching, traffic detection, etc. Currently only a handful of publicly available and the quality these varies. Most existing have limited coverage (a focus on China or USA), low sampling rates less contextual information pings. This paper presents Grab-Posisi, first dataset Southeast Asia from both developed countries (Singapore) developing (Jakarta, Indonesia). The data were collected very...

10.1145/3356995.3364536 article EN 2019-10-23

Landslide displacement prediction is an essential base of landslide hazard prevention, which often needs to establish accurate model. To achieve accuracy displacement, a model based on salp-swarm-algorithm-optimized temporal convolutional network (SSA-TCN) proposed. The TCN model, consisting causal dilation convolution layer residual block, can flexibly increase the receptive fields and capture global information in deeper layer. SSA solve hyperparameter problem well for Muyubao collected...

10.3390/rs14112656 article EN cc-by Remote Sensing 2022-06-01

Classification of histological patterns in lung adenocarcinoma (LUAD) is critical for clinical decision-making, especially the early stage. However, inter- and intraobserver subjectivity pathologists make quantification varied inconsistent. Moreover, spatial information not evident to naked eye pathologists.We establish LUAD-subtype deep learning model (LSDLM) with optimal ResNet34 followed by a four-layer Neural Network classifier, based on 40 000 well-annotated path-level tiles. The LSDLM...

10.1111/his.14918 article EN Histopathology 2023-04-18

The segmentation of crack detection and severity assessment in low-light environments presents a formidable challenge. To address this, we propose novel dual encoder structure, denoted as DSD-Net, which integrates fast Fourier transform with convolutional neural network. In this framework, incorporate an information extraction module attention feature fusion to effectively capture contextual global extract pertinent local features. Furthermore, introduce fractal dimension estimation method...

10.3390/fractalfract7110820 article EN cc-by Fractal and Fractional 2023-11-14

Geotechnical engineering is dominated mostly by uncertainties, because it always deals with highly variable natural materials. Reliability-analysis approaches emerge as a more reasonable and rigorous way of handling uncertainties. Two-dimensional stability assessment rock slopes performed, the probability failure against planar sliding determined using random fields. Both cohesion friction coefficient along discontinuity are treated normal field represented mean values, standard deviations,...

10.1061/(asce)gm.1943-5622.0000858 article EN International Journal of Geomechanics 2016-12-05

An improved genetic algorithm is proposed to optimize the potential sliding surface of slopes. Compared with a conventional algorithm, recombination between previous generation and newly generated population around local optimal individual performed in while generations algorithm. The has advantage faster convergence than Moreover, rigorous limit equilibrium method applied define safety factor Two examples are illustrated prove efficiency

10.1061/(asce)gm.1943-5622.0001747 article EN International Journal of Geomechanics 2020-05-27

Abstract As an important problem during tunnel construction and maintenance, surrounding rock deformation has been paid close attention by scholars at home abroad. The traditional method to predict the fitting monitoring measuring data of not only consumes a lot manpower material resources, but also low accuracy in predicting with large fluctuations. Deep learning prediction can reduce labor cost improve efficiency accuracy. Taking project as example, based on cyclic neural network model...

10.21203/rs.3.rs-2304142/v1 preprint EN cc-by Research Square (Research Square) 2023-01-02

Initial stress and additional effective distributions in soil greatly influence the degree of ground consolidation when calculating one-dimensional soft clay deep soil. The nonlinear governing equations under uniform loads are derived solved with finite difference method. This method is based on assumptions that initial varies depth caused by external changes both time, hyperbolic model stress-strain relationship. Formulas for settlement presented. A case study shows calculated agrees...

10.3389/feart.2020.00111 article EN cc-by Frontiers in Earth Science 2020-04-30

This paper aims to estimate the probability of failure (Pf) slope based on Chebyshev inequalities. Traditionally, for a reliability analysis, supposed distribution types shear strength parameters are employed; this is not accurate because uncertain. inequalities can even when variables unknown. The upper bound value step-shaped derived Additionally, bootstrap method combined with Akaike information criterion (AIC) adopted validate accuracy and efficiency proposed method. It be concluded from...

10.1061/(asce)gm.1943-5622.0001638 article EN International Journal of Geomechanics 2020-01-28

The treatment of expansive soil is always a difficult problem in engineering. Using coal gangue, fly ash, and other solid waste to treat has gradually become new way energy saving environmental protection. Most the existing studies focus on using one or two kinds admixtures improve soil, but there are few improving with multiple admixtures. In this paper, expansion shrinkage deformation strength characteristics modified by lime studied experimentally. Nine groups different mixing schemes...

10.1155/2021/5567753 article EN cc-by Advances in Civil Engineering 2021-01-01

In the past, pseudostatic method was most common used to evaluate stability of slope under seismic loads. Through method, static forces acting on center gravity a sliding body are consider effects an earthquake. However, loads have different geomaterials at times and locations; therefore, it is not reasonable apply approach solve dynamic problems. this study, pseudodynamic developed compute factor safety slope. A sinusoidal wave applied simulate The physicomechanical behaviors slopes were...

10.1061/(asce)gm.1943-5622.0001015 article EN International Journal of Geomechanics 2017-09-27

A design matrix in response surface method (RSM) that satisfies the orthogonality is very useful because mean square error can be minimized, so more precise. But of a second-order conventional RSM cannot satisfied. In this paper, orthogonal experimental (SOED)-based proposed by considering high-order matrix. The SOED constructed changing length star points, and main characteristic diagonal. When terms are considered SOED-based RSM, globe optimal solution found. As regression equation...

10.1007/s12665-017-7136-1 article EN cc-by Environmental Earth Sciences 2017-11-27

Soil can be amended with cement, lime, fly ash and other curing agents after diesel contamination. In this study, a diesel-contaminated granite residual soil an oil content of 9% was selected lime as their incorporation levels were varied. A straight shear test showed that 6% resulted in the best improvement contaminated soil, cohesive force 122.1 kPa internal friction angle 27.1°. disintegration revealed resistance improved by 20% 10% being most effective. SEM tests fuel acted constant pore...

10.3390/su15064900 article EN Sustainability 2023-03-09

In this paper, the antislip stability assessment of a gravity retaining wall is analyzed by considering spatial variability soils based on theory random fields. The effects correlation lengths soil/wall base friction coefficient and cohesion safety factor were investigated. numerical results indicated that length probability failure (Pf) greater than those slip failure. Moreover, when comparing different levels probability, corresponded to constants values normalized relatively small. other...

10.1061/(asce)gm.1943-5622.0001413 article EN International Journal of Geomechanics 2019-04-01
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