Xing Zheng Wu

Xing Zheng Wu
Hebei University · Department of Civil Engineering

PhD

About

34
Publications
6,463
Reads
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317
Citations
Citations since 2016
14 Research Items
266 Citations
2016201720182019202020212022010203040
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2016201720182019202020212022010203040
2016201720182019202020212022010203040
Introduction
Dr. Wu (吴兴征) is an Associate Prof. in the Department of Civil Engineering at Hebei University (China). He worked in the UK for seven years (University of Dundee; University of Newcastle). His research interests focus on the uncertainty modelling. Dr. Wu serves as an active reviewer for many international journals, and he is on the editorial board of more than ten journals. He is the Editor-in-Chief (EIC) of the Insight - Civil Engineering. See also http://xingzhengwu.com/
Additional affiliations
October 2016 - present
Hebei University
Position
  • Professor (Associate)
September 2011 - September 2016
University of Science and Technology Beijing
Position
  • Professor (Associate)
May 2009 - July 2011
Newcastle University
Position
  • Research Associate
Education
September 1997 - March 2001
Dalian University of Technology
Field of study
  • Hydraulic Structures
September 1994 - June 1997
Shandong University
Field of study
  • Soild Mechanics
September 1990 - July 1994
Shandong University
Field of study
  • Civil Engineering, Road and Bridge

Publications

Publications (34)
Article
Full-text available
In probabilistic slope stability analysis, the influence of cross correlation of the soil strength parameters, cohesion and internal friction angle, on the reliability index has not been investigated fully. In this paper, an expedient technique is presented for probabilistic slope stability analysis that involves sampling a series of combinations o...
Article
Full-text available
An important issue in the probabilistic prediction modelling of multivariate soil properties (usually including cohesion, friction angle, and unit weight) is the measurement of dependence structure among these properties. The use of Pearson's correlation as a dependence measure has several pitfalls; therefore, it may not be appropriate to use proba...
Article
Full-text available
An important issue regarding the use of probabilistic predictions for complex engineering systems is characterising the dependence structure among its correlated performance functions, which are driven by dependent or independent basic random variables. The interrelationship of these performance functions can be attributed to the same random variab...
Article
Full-text available
A probability density contour-based expanding method (CBEM) is developed to provide an intuitive interpretation of calculating the reliability index of an engineered system in the original physical space of random variables. In this technique, a distance ratio is defined to quantify the reliability index in conjunction with a dispersive probability...
Article
Full-text available
Reliability analysis and multivariate statistical fitting are valuable techniques that enhance the scientific basis of regulatory decisions in geotechnical problems. This study introduces the use of several new R packages specifically developed to assist risk assessors in their geotechnical projects. Firstly, the fitting of parameterised models to t...
Article
Full-text available
Rainfall is an important environmental factor affecting the stability of natural slopes. In this study, an environmental contour method is developed by incorporating the infiltration model proposed by Green and Ampt to evaluate the stability of slopes exposed to rainfall. Several environmental variables—such as rainfall intensity and rainfall durat...
Article
Full-text available
The Osterberg cell test is an effective tool to evaluate the bearing behaviour for piled foundations. Due to the significant intrinsic variabilities in material properties of piles, soil−pile intermediate, and soils, the responses of multiple piles under loading are uncertain. These uncertainties should be considered to evaluate the bearing charact...
Article
Full-text available
11 This paper presents an application of geometric reliability techniques on various pile types 12 based on collected 67 load-displacement curves obtained from the pertinent literature. These static 13 loading tests were performed on local scales (even building-specific sites) with essentially identical 14 geotechnical conditions. A power law funct...
Article
Full-text available
According to current detection technical specifications, the detection number of static load for piles under particular buildings is extremely limited (i.e., usually only 3 or more). Due to the influence of spatial variability of soil around the pile, the load-displacement curves of these tests are difference. If each test curve can be regressed by...
Article
Full-text available
According to the limit state of geotechnical structures at a specific site under normal conditions of use, the reliability index of various structures is calculated by geometric reliability method that developed in recent years. At the same site, considering the discreteness of load-displacement curves of bored piles, anti-floating anchors and sing...
Article
Full-text available
Evaluating the pressure−settlement response of a composite foundation at a specific site is important for supporting the superstructures safely. The uncertainties in the power law regression parameters stem from a significant scattering of pressure−settlement curves when a series of static load tests are conducted for the composite foundations comp...
Article
Full-text available
Cement-fly ash-gravel (CFG) pile is one of the novel ground improvement types. It is attracting considerable attention, as its beneficial role in accessible soft foundations is being increasingly exploited by the surging urban industrial development in China. Yet, despite its recognised significance, the load-settlement behaviour of CFG pile is poo...
Article
Full-text available
6 Geotechnical shear strength variables generally include the cohesion and angle of internal friction based upon the 7 Mohr-Coulomb failure criterion. In this study, the non-normality of a univariate probability density function (PDF) and 8 the bivariate probability density contour (PDC) of observed shear strength pairs is examined for 33 geomateri...
Article
Full-text available
This discussion pertains to the shear strength data of alluvial fine-grained soils in Central Italy, which Wang and Akeju (2016) utilised for validation their Bayesian model as a site-specific measurement.
Data
the R codes can refer to http://www.xingzhengwu.com/PubsD/21%20WU%20GeoR_ManuscriptS-137onWeb.pdf
Article
Full-text available
CFG pile(cement-fly ash-gravel pile) is an important type of ground improvement, and its role is becoming even more prominent as more accessible soft foundations become increasingly exploited by the surging urban industrial development in China. Yet despite its significance, the load-settlement behaviour is poorly understood on this pile type; part...
Data
Full-text available
Access the data set in R package GeoRiskR by Dr Wu Data sets and functions for geotechnical reliability analysis. The GeoRiskR develops for geotechnical engineers to perform reliability analysis. Firstly, several existing data sets (soil shear strengths, rock shear strengths, GCL shear strengths, soil texture, and the relation between initial void...
Chapter
Coastal systems are characterised by variability and interdependencies at a range of scales. On the Norfolk coast from Weybourne to Winterton in SMP6, variations in sediment supply, from cliff erosion and beach nourishment, have a profound influence upon the probability of failure of the flood defences that protect the large area of coastal lowland...
Chapter
To understand the implications of changes to marine climates and the impact on people, analysis is required of the spatial extent and depths of flooding in urban and rural areas. Over extended timescales, the uncertainties related to possible sea-level rise and changes in storminess increase significantly. As such, there is no certainty regarding w...
Article
Full-text available
Accurate estimates of the dependence of soil shear strength parameters (including cohesion and friction angle) play a crucial role in decision making by civil engineers about geotechnical engineering safety. Increased site-specific information comes the need for joint soil strength models to account for correlation characteristics between shear str...
Article
Full-text available
Long-term shoreline evolution due to longshore sediment transport is one of the key processes that need to be addressed in coastal engineering design and management. To adequately represent the inherent stochastic nature of the evolution processes, a probability density evolution model based on the Liouville equation is proposed for predicting the...
Article
Full-text available
Uncertainty in bed roughness is a dominant factor in providing a sufficiently accurate simulation of floodplain flows. This study describes a method to compute the transition probability density distribution of time-varying water elevations where the evolutionary process is based on a conventional one-dimensional storage cell model with governing s...
Data
Data and Functions for Geotechnical Risk Assessment. It supports accessing of the data majorly involving the shear strengths for soils, rocks, and geosynthetics, which are the necessary input parameters in a probabilistic risk analysis.
Article
Full-text available
This paper presents a methodology for constructing fragility functions to characterise slope stability under a range of catastrophic earthquakes and rainfalls. The procedures for creating fragility functions, including the first-order reliability method (FORM) and the copula-based sampling method (CBSM), are demonstrated using a selection of typica...
Article
Full-text available
Shoreline evolution due to longshore sediment transport is one of the most important problems in coastal engineering and management. This paper describes a method to predict the probability distributions of long-term shoreline positions in which the evolution process is based on the standard one-line model recast into a stochastic differential equa...
Article
Full-text available
ABSTRACT: The sensitivity of landfill design to shear strength variability is controlled by the measured internal shear strength of the geosynthetic clay liner and the interface shear strength between the geosynthetic clay liner and the geomembrane. Based on the Mohr–Coulomb criterion, the measured shear strength values (including the internal and...
Article
Coastal flood risk analysis involves integration over a wide range of hydraulic loadings, beach morphologies, coastal structural responses and flood inundation scenarios. The latter involves the use of 2-D hydrodynamic simulation models. Accurate risk estimates in complex simulations may require thousands of model simulations. Here we describe the...
Conference Paper
This paper describes a new research project underway in the UK that aims to develop an integrated risk based framework for the management of coastal systems. A reliability approach to modeling the system is taken that will link short, medium and longer term measurements to process and uncertainty modeling of system elements and then to stochastic m...
Article
Full-text available
Based on a general definition of flood risk, similarities and differences in the flood risk analysis method between the Netherlands and China are described in this paper. Studied aspects include the determination of flooding probability, flood consequences, flood risk indexes and flood prevention economy optimization. Features of each method and ca...

Questions

Question (1)
Question
Can any one help me to find an intersection point between a segment and a N-dimensional hyper-ellipsoid (E)? The segment can be linked between the mean-value point (O) of the ellipsoid and an arbitrary point (P) outside of the ellipsoid.

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Projects

Projects (2)
Project
Geometric reliability analysis of piles
Project
The R package of GeoRiskR develops for geotechnical engineers to perform reliability analysis. Firstly, several existing data sets (soil shear strengths, rock shear strengths, GCL shear strengths, soil texture, and the relation between initial void ratio and compression index) are compiled. Secondly, twelve full-scale static axial compression loading test databases (consists of 463 samples at six sites) from the Beijing region are compiled. Thirdly, the source code for the reliability analyses are provided, including the widely-used first-order relaliability method (FORM), second-order reliability method (SORM). Details in the following links: https://www.researchgate.net/publication/281495312_GeoRiskR21 https://www.researchgate.net/publication/304136323_Implementing_statistical_fitting_and_reliability_analysis_for_geotechnical_engineering_problems_in_R