Lei Wang

Prof. Lei Wang


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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1 October 2017 in Construction and Building Materials
Verified
Journal Article
Closed access
YMYafei Ma
Yafei Ma
ZGZhongzhao Guo
Zhongzhao Guo
LWLei Wang
Lei Wang
JZJianren Zhang
Jianren Zhang

1 January 2020 in Computers, Materials & Continua
Verified
Journal Article
Open access
JWJin Wang
Jin Wang
YGYu Gao
Yu Gao
CZChang Zhou
Chang Zhou
RSR. Simon Sherratt
R. Simon Sherratt
LWLei Wang
Lei Wang
Wireless Sensor Networks (WSNs) are usually formed with many tiny sensors which are randomly deployed within sensing field for target monitoring. These sensors can transmit their monitored data to the sink in a multi-hop communication manner. However, the ‘hot spots’ problem will be caused since nodes near sink will consume more energy during forwarding. Recently, mobile sink based technology provides an alternative solution for the long-distance communication and sensor nodes only need to use single hop communication to the mobile sink during data transmission. Even though it is difficult to consider many network metrics such as sensor position, residual energy and coverage rate etc., it is still very important to schedule a reasonable moving trajectory for the mobile sink. In this paper, a novel trajectory scheduling method based on coverage rate for multiple mobile sinks (TSCR-M) is presented especially for large-scale WSNs. An improved particle swarm optimization (PSO) combined with mutation operator is introduced to search the parking positions with optimal coverage rate. Then the genetic algorithm (GA) is adopted to schedule the moving trajectory for multiple mobile sinks. Extensive simulations are performed to validate the performance of our proposed method.

20 December 2018 in Structure and Infrastructure Engineering
Verified
Journal Article
Closed access
LWLei Wang
Lei Wang
LDLizhao Dai
Lizhao Dai
HBHanbing Bian
Hanbing Bian
YMYafei Ma
Yafei Ma
JZJianren Zhang
Jianren Zhang
This study investigates strand corrosion-induced concrete cracking under various prestress experimentally and analytically. Experimental data on the critical time of cover cracking, crack width and corrosion loss obtained from the accelerated corrosion test are presented and discussed. The expansion ratio of strand corrosion products is estimated based on the infrared spectroscopy and thermal gravimetry. An analytical model, incorporating the coupled effects of prestress and strand corrosion, is proposed to predict the global process of concrete cracking from initiation to propagation. Strand rust-expansion ratio and the residual stiffness of cracked concrete are also included in the model. Results show that prestress can accelerate the corrosion-induced cracking process. By varying prestress from 0 to 75% strand tensile strength, the critical time of cover cracking decreases 22% and the crack propagation rate increases 9%. It is found that the proposed model is accurate in predicting corrosion-induced crack width in prestressed concrete beams.

1 September 2013 in Structural Safety
Verified
Journal Article
Closed access
YMYafei Ma
Yafei Ma
JZJianren Zhang
Jianren Zhang
LWLei Wang
Lei Wang
YLYongming Liu
Yongming Liu

1 March 2020 in Journal of Structural Engineering
Verified
Journal Article
Closed access
LDLizhao Dai
Lizhao Dai
HBHanbing Bian
Hanbing Bian
LWLei Wang
Lei Wang
MPMichel Potier-Ferry
Michel Potier-Ferry
JZJianren Zhang
Jianren Zhang
Concrete cracking induced by strand corrosion can degrade bond strength and lead to prestress loss. A novel model is proposed to predict corrosion-induced prestress loss in pretensioned concrete structures. The coupling effects of concrete cracking and bond degradation are incorporated into the model. An experimental study is conducted to evaluate the effective prestress in eight corroded pretensioned concrete beams under various stress levels. Experimental results are employed to validate the proposed model. Results demonstrate that the proposed model can accurately predict prestress loss in corroded pretensioned concrete structures. Prestress loss depends on the corrosion degree. Corrosion-induced concrete cracking may not degrade bond strength and effective prestress unless corrosion loss exceeds 6.6%. As corrosion further progresses, bond strength and effective prestress decrease monotonically and then reduce to zero when corrosion loss reaches 34.0%.

1 October 2016 in Journal of Performance of Constructed Facilities
Verified
Journal Article
Closed access
FXFuyou Xu
Fuyou Xu
Mingjie ZhangMingjie Zhang
Mingjie Zhang
LWLei Wang
Lei Wang
JZJian Ren Zhang
Jian Ren Zhang
The data of 302 highway bridge catastrophic collapses occurring in China between 2000 and 2014 due to human causes were collected and statistical analyses were conducted from various viewpoints including accident stages (during construction or service), casualties (death or injury), location, time, life span, bridge type, and primary causes behind the accidents. Six representative collapse cases were expounded on to find out their individual peculiarities. These cases encapsulated serious problems in Chinese highway bridge engineering, including design, construction, maintenance, and management, among others. A concise review of highway bridge collapses due to human causes in China was presented. Some typical abnormal phenomena, such as those concerning entities involved in the Chinese highway bridge engineering industry, were analyzed and highlighted. Suggestions were put forward to urge all related parties to obey rules and laws to reduce and avoid bridge collapse accidents. The lessons from the...