Zhenhao Zhang

Prof. Dr. Zhenhao Zhang

School of Civil Engineering, Changsha University of Science and Technology, China
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 February 2021 in JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT
Verified
Journal Article
Open access
PDF file
Zhenhao ZhangZhenhao Zhang
Zhenhao Zhang
WLWenbiao Li
Wenbiao Li
JYJianyu Yang
Jianyu Yang
There are many factors leading to construction safety accident. The rule presented under the influence of these factors should be a statistical random rule. To reveal those random rules and study the probability prediction method of construction safety accident, according to stochastic process theory, general stochastic process, Markov process and normal process are respectively used to simulate the risk-accident process in this paper. First, in the general-random-process-based analysis the probability of accidents in a period of time is calculated. Then, the Markov property of the construction safety risk evolution process is illustrated, and the analytical expression of probability density function of first-passage time of Markov-based risk-accident process is derived to calculate the construction safety probability. In the normal-process-based analysis, the construction safety probability formulas in cases of stationary normal risk process and non-stationary normal risk process with zero mean value are derived respectively. Finally, the number of accidents that may occur on construction site in a period is studied macroscopically based on Poisson process, and the probability distribution of time interval between adjacent accidents and the time of the nth accident are calculated respectively. The results provide useful reference for the prediction and management of construction accidents.

10 September 2020 in Natural Hazards
Verified
Journal Article
Closed access
PDF file
Zhenhao ZhangZhenhao Zhang
Zhenhao Zhang
CLChangchun Luo
Changchun Luo
ZZZhenpeng Zhao
Zhenpeng Zhao

6 July 2022 in Quality and Reliability Engineering International
Verified
Journal Article
Closed access
Zhenhao ZhangZhenhao Zhang
Zhenhao Zhang
GLGaoming Liang
Gaoming Liang
QNQinglei Niu
Qinglei Niu
FWFuming Wang
Fuming Wang
JCJigong Chen
Jigong Chen
LKLu Ke
Lu Ke

1 January 2020 in Mechanical Systems and Signal Processing
Verified
Journal Article
Closed access
Zhenhao ZhangZhenhao Zhang
Zhenhao Zhang
XLXin Liu
Xin Liu
Yi ZhangYi Zhang
Yi Zhang
MZMingliao Zhou
Mingliao Zhou
JCJigong Chen
Jigong Chen

1 June 2017 in Journal of Bridge Engineering
Verified
Journal Article
Closed access
YLYang Liu
Yang Liu
DLDeru Li
Deru Li
Zhenhao ZhangZhenhao Zhang
Zhenhao Zhang
HZHaiping Zhang
Haiping Zhang
NJNan Jiang
Nan Jiang
The development of the Chinese economy is associated with many changes in vehicle loads, particularly the increasing numbers of heavy trucks and other types of vehicles. However, currently, no standard vehicle has been identified for studying the fatigue design of highway bridges in China. Using the weigh-in-motion system, the authors obtained vehicle loads of 23 Chinese provinces. Miner’s rule for cumulative fatigue damage was then used to categorize each vehicle as one of eight representative types according to load. From these types, five equivalent vehicle models were found. Subsequently, simplified fatigue load spectra for highway bridges were obtained for each province. The six-axle vehicle can be used as the standard fatigue vehicle for most provinces, except in Zhejiang and Guizhou, in which three- and four-axle vehicles are most representative. Also, a standard fatigue vehicle for China is proposed.

1 December 2020 in Structures
Verified
Journal Article
Closed access
Zhenhao ZhangZhenhao Zhang
Zhenhao Zhang
WLWenbiao Li
Wenbiao Li
ZDZhouxiang Ding
Zhouxiang Ding
XWXueyan Wu
Xueyan Wu