A5086071104- Geotechnical Engineering and Underground Structures
- Geotechnical Engineering and Analysis
- Seismic Performance and Analysis
- Railway Engineering and Dynamics
- Rock Mechanics and Modeling
- Geotechnical Engineering and Soil Mechanics
- Drilling and Well Engineering
- Geotechnical Engineering and Soil Stabilization
- Mineral Processing and Grinding
- Structural Health Monitoring Techniques
- Masonry and Concrete Structural Analysis
- Infrastructure Maintenance and Monitoring
- Landslides and related hazards
- Structural Engineering and Vibration Analysis
- Concrete and Cement Materials Research
- Vibration Control and Rheological Fluids
- Tunneling and Rock Mechanics
- Grouting, Rheology, and Soil Mechanics
- Seismic and Structural Analysis of Tall Buildings
- Structural Integrity and Reliability Analysis
- Wind and Air Flow Studies
- Building materials and conservation
- Hydraulic Fracturing and Reservoir Analysis
- COVID-19 Clinical Research Studies
- Asphalt Pavement Performance Evaluation
School of Pedagogical and Technological Education
2018-2024
Hanoi University of Mining and Geology
2024
University of Southampton
2017-2020
Abstract The use of three artificial neural network (ANN)-based models for the prediction unconfined compressive strength (UCS) granite using non-destructive test indicators, namely pulse velocity, Schmidt hammer rebound number, and effective porosity, has been investigated in this study. For purpose, a sum 274 datasets was compiled used to train validate ANN including constructed Levenberg–Marquardt algorithm (ANN-LM), combination particle swarm optimization (ANN-PSO), imperialist...
There is an unmet need of models for early prediction morbidity and mortality Coronavirus disease-19 (COVID-19). We aimed to a) identify complement-related genetic variants associated with the clinical outcomes ICU hospitalization death, b) develop artificial neural network (ANN) predicting these c) validate whether are impaired complement phenotype. prospectively recruited consecutive adult patients Caucasian origin, hospitalized due COVID-19. Through targeted next-generation sequencing, we...
This paper reports the results of advanced data analysis involving artificial neural networks for prediction unconfined compressive strength granite using only two non-destructive test indexes. A data-independent site-independent unbiased database comprising 182 datasets from tests reported in literature was compiled and used to train develop granite. The show that optimum network developed this research predicts weak very strong granites (20.3-198.15MPa) with less than ±20% deviation...
Rock-burst is a common failure in hard rock related projects civil and mining construction therefore, proper classification prediction of this phenomenon interest. This research presents the development optimized naïve Bayes models, predicting rock-burst failures underground projects. The models were using four weight optimization techniques including forward, backward, particle swarm optimization, evolutionary. An evolutionary random forest model was developed to identify most significant...
This paper investigates the effect of subgrade soil stabilization on performance and life extension flexible pavements. Several variables affecting were considered, including type (CL or CH), additive content (3, 6, 9% hydrated lime, 5, 10, 15% class C fly ash (CFA), cement kiln dust (CKD)), three thicknesses (15, 30, 45 cm), four pavement sections with varying thicknesses. The effects these investigated using different damage mechanisms, fatigue asphalt concrete (AC) stabilized layers,...
This paper presents the results of a series hollow cylinder tests carried out to investigate role drainage conditions on response railway track foundation materials during cyclic loading. Three sand–clay mixes were tested. It was found that, below certain shear stress threshold, and depending conditions, changes in principal direction should not adversely affect stability foundation. However, significant stiffness degradation failure may occur if this threshold is exceeded. The increased...
Buried pipes are extensively used for oil transportation from offshore platforms. Under unfavorable loading combinations, the pipe’s uplift resistance may be exceeded, which result in excessive deformations and significant disruptions. This paper presents findings a series of small-scale tests performed on buried geogrid-reinforced sands, with measured peak being to calibrate advanced numerical models employing neural networks. Multilayer perceptron (MLP) Radial Basis Function (RBF) primary...
The California Bearing Ratio (CBR) is an important index for evaluating the bearing capacity of pavement subgrade materials. In this research, random subspace optimization-based hybrid computing models were trained and developed prediction CBR soil. Three developed, namely reduced error pruning trees (REPTs), subsurface-based REPT (RSS-REPT), RSS-based extra tree (RSS-ET). An experimental database was compiled from a total 214 soil samples, which classified according to AASHTO M 145,...
This paper presents results of a series hollow cylinder tests carried out to investigate the undrained behaviour saturated railway track foundation materials during cyclic loading involving principal stress rotation. Four sand–clay mixes representative real were investigated. It was found that moderate additions clay (up ∼14% by weight) increased shear threshold at which significant excess pore pressures started accumulate. After had been exceeded, rate pressure increase with logarithm axial...
The effect of earthquake induced torsion, due to mass eccentricities, is investigated with the objective providing practical design guidelines for minimizing torsional response building structures. Current code provisions recommend performing three dimensional static or dynamic analyses, which involve shifting centers floor masses from their nominal positions what called an accidental eccentricity. This procedure however may significantly increase cost multistory buildings, numerous possible...
This paper investigates the role of accidental mass eccentricities on inelastic torsional behaviour multi-storey asymmetric buildings with a mixed type lateral load resisting system subjected to Erzincan-1992 and Kobe-1995 ground motions. The numerical modelling results show that effects spatial variations are lower smoother in rather than elastic state deformation, but both response is pointing same optimum location key element for which structure minimized.
This paper uses the results of a series laboratory tests with cyclic principal stress rotation to assess suitability number empirical equations for estimating development plastic settlements in railway track foundations. The were carried out on three sand–clay mixes representative foundation materials, both free-to-drain and undrained conditions. non-linear regression analysis demonstrate that drainage conditions are key factor affecting estimation accuracy models, clay content playing...
In this paper, the effects of accidental mass eccentricities on inelastic rotational behaviour multi-storey buildings subjected to unidirectional seismic excitations are studied. Design codes require specification structural detailing preserve post-elastic deformation capacity building structures. Most these code provisions based studies planar structures, and it is recommended that any eccentricity be taken into account by performing three-dimensional static or dynamic analyses, which...
This paper presents and discusses results from a series of hollow cylinder tests, carried out to investigate the effects principal stress rotation on resilient response soils in paths relevant railway track foundations. Four sand-clay mixes, typical gradation an situ foundation, were investigated. The aim research was magnitudes shear cycles for which associated cyclic rotations direction may have significant effect long-term stability