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Your search keyword '"Zhao-Hui Lu"' showing total 6 results
Start Over Author "Zhao-Hui Lu" Journal journal of structural engineering
6 results on '"Zhao-Hui Lu"'

1. Unified Theoretical Model for Axially Loaded Concrete-Filled Steel Tube Stub Columns with Different Cross-Sectional Shapes

Author

Siqi Lin, Xi-Feng Yan, Zhao-Hui Lu, and Yan-Gang Zhao

Subjects
Materials science, Mechanics of Materials, business.industry, Mechanical Engineering, Theoretical models, Steel tube, General Materials Science, Building and Construction, Structural engineering, business, Axial symmetry, Civil and Structural Engineering, Stub (electronics)
Abstract

The existing theoretical models for the analysis of concrete-filled steel tube (CFST) columns are mainly limited to circular specimens. This paper is aimed at developing a unified theoretic...

Published
2021

2. Fragility Assessment of Typhoon-Induced Hazard to Roof Sheathing Panels of Low-Rise Building

Author

Boyu Zhang, Zhao-Hui Lu, Xiaowen Ji, and Yan-Gang Zhao

Subjects
Low-rise, 010504 meteorology & atmospheric sciences, business.industry, Mechanical Engineering, Vulnerability, 020101 civil engineering, 02 engineering and technology, Building and Construction, Structural engineering, 01 natural sciences, Hazard, Wind engineering, 0201 civil engineering, Fragility, Mechanics of Materials, Typhoon, Forensic engineering, Environmental science, General Materials Science, business, Roof, 0105 earth and related environmental sciences, Civil and Structural Engineering
Abstract

Because of the vulnerability of roof sheathing panel to wind load, light-frame wood low-rise buildings often suffer from serious destructions in typhoon hazards. Efficient assessment of the...

Published
2021

3. Wind-Induced Hazard Assessment for Low-Rise Building Envelope Considering Potential Openings

Author

Xiaowen Ji, Guoqing Huang, Fengbo Wu, and Zhao-Hui Lu

Subjects
Low-rise, Mechanics of Materials, business.industry, Mechanical Engineering, Environmental science, General Materials Science, Building and Construction, Structural engineering, Hazard analysis, business, Building envelope, Civil and Structural Engineering, Envelope (motion)
Abstract

The light-frame low-rise buildings widely used for residential and industrial purposes are very vulnerable to high winds. Postdisaster surveys indicated that envelope components such as win...

Published
2020

4. Structural Reliability Analysis Including Correlated Random Variables Based on Third-Moment Transformation

Author

Yan-Gang Zhao, Zhao-Hui Lu, and Chao-Huang Cai

Subjects
business.industry, Mechanical Engineering, Structural reliability, 020101 civil engineering, 02 engineering and technology, Building and Construction, Structural engineering, 0201 civil engineering, 020303 mechanical engineering & transports, Transformation (function), 0203 mechanical engineering, Mechanics of Materials, Statistics, Applied mathematics, General Materials Science, business, Random variable, Civil and Structural Engineering, Mathematics
Abstract

In structural reliability analysis, the input variables are often nonnormal and correlated. A procedure for efficient normal transformation, i.e., transforming dependent nonnormal random va...

Published
2017

5. Fourth-Moment Standardization for Structural Reliability Assessment

Author

Zhao-Hui Lu and Yan-Gang Zhao

Subjects
business.industry, Multivariate random variable, Mechanical Engineering, Cumulative distribution function, Building and Construction, Structural engineering, Moment-generating function, Mechanics of Materials, Joint probability distribution, Sum of normally distributed random variables, Statistics, Mixture distribution, Applied mathematics, General Materials Science, Marginal distribution, business, Probability integral transform, Civil and Structural Engineering, Mathematics
Abstract

In structural reliability analysis, the uncertainties related to resistance and load are generally expressed as random variables that have known cumulative distribution functions. However, in practical applications, the cumulative distribution functions of some random variables may be unknown, and the probabilistic characteristics of these variables may be expressed using only statistical moments. In the present paper, in order to conduct structural reliability analysis without the exclusion of random variables having unknown distributions, the third-order polynomial normal transformation technique using the first four central moments is investigated, and an explicit fourth-moment standardization function is proposed. Using the proposed method, the normal transformation for indepen- dent random variables with unknown cumulative distribution functions can be realized without using the Rosenblatt transformation or Nataf transformation. Through the numerical examples presented, the proposed method is found to be sufficiently accurate in its inclusion of the independent random variables which have unknown cumulative distribution functions, in structural reliability analyses with minimal additional computational effort.

Published
2007

6. Structural Reliability Analysis Including Correlated Random Variables Based on Third-Moment Transformation.

Author

Zhao-Hui Lu, Chao-Huang Cai, and Yan-Gang Zhao

Subjects
*STRUCTURAL reliability, *STRUCTURAL analysis (Engineering), *RANDOM variables, *STATISTICAL correlation, *PROBABILITY density function
Abstract

In structural reliability analysis, the input variables are often nonnormal and correlated. A procedure for efficient normal transformation, i.e., transforming dependent nonnormal random variables into independent standard normal ones, is often required. In general, Rosenblatt transformation is available to realize the normal transformation when the joint probability density function (PDF) of basic random variables is available and Nataf transformation can be used when the marginal PDFs and correlation coefficients are known. However, the joint PDF and marginal PDFs of some random variables are often unknown in practice, and the probabilistic characteristics of these variables are easier to be expressed using the statistical moments and correlation matrix. It is in this regard that the objective of the present paper is to develop a methodology for normal transformation including correlated random variables with unknown joint PDF and marginal PDFs. Based on the third-moment transformation technique for transforming independent nonnormal random variables into independent standard normal ones, the third-moment transformation is further developed for transforming the correlated variables including unknown joint PDF and marginal PDFs into independent standard normal variables. A first-order reliability method for structural reliability analysis including correlated random variables with unknown joint PDF and marginal PDFs is developed based on the proposed transformation. Using the proposed method, the normal transformation and reliability analysis can also be achieved for correlated nonnormal random variables with knowledge of only the statistical moments and correlation matrix. The simplicity and efficiency of the proposed method is further demonstrated through several numerical examples. [ABSTRACT FROM AUTHOR]

Published
2017
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