Jianming Hao

Dr. Jianming Hao

School of Highway, Chang’an University, Xi’an 710064, Shaanxi, China
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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12 August 2022 in Journal of Wind Engineering and Industrial Aerodynamics
Verified
Journal Article
Closed access
JLJiawu Li
Jiawu Li
PWPeng Wu
Peng Wu
JHJianming Hao
Jianming Hao
HPHui Pan
Hui Pan

20 January 2020 in Sensors
Verified
Journal Article
Open access
PDF file
Guangzhong GaoGuangzhong Gao
Guangzhong Gao
LZLedong Zhu
Ledong Zhu
FWFeng Wang
Feng Wang
HBHua Bai
Hua Bai
JHJianming Hao
Jianming Hao
The nonlinear post-flutter instabilities were experimentally investigated through two-degree-of-freedom sectional model tests on a typical flat closed-box bridge deck (width-to-depth ratio 9.14). Laser displacement sensors and piezoelectric force balances were used in the synchronous measurement of dynamic displacement and aerodynamic force. Beyond linear flutter boundary, the sectional model exhibited heave-torsion coupled limit cycle oscillation (LCOs) with an unrestricted increase of stable amplitudes with reduced velocity. The post-critical LCOs vibrated in a complex mode with amplitude-dependent mode modulus and phase angle. Obvious heaving static deformation was found to be coupled with the large-amplitude post-critical LCOs, for which classical quasi-steady theory was not applicable. The aerodynamic torsional moment and lift during post-critical LCOs were measured through a novel wind-tunnel technique by 4 piezoelectric force balances. The measured force signals were found to contain significantly higher-order components. The energy evolution mechanism during post-critical LCOs was revealed via the hysteresis loops of the measured force signals.

29 August 2022 in Mathematics
Verified
Journal Article
Open access
PDF file
NDNan Ding
Nan Ding
JYJingshuai Yang
Jingshuai Yang
ZHZhibin Han
Zhibin Han
JHJianming Hao
Jianming Hao
In this paper, we establish the Electric Vehicle Routing Problem with Time Windows Based on Driving Cycles (EVRPTW-DC) to optimize the delivery routing of electric vehicles (EVs). As energy consumption may affect the maximal driving range and the recharging behavior of EVs, we first develop a nonlinear electric energy consumption model based on typical driving cycles of suburban and urban areas, with consideration of vehicle load, travel distance, and speed. An adaptive particle swarm optimization algorithm is then designed to solve the problem. Moreover, we study cases built from the actual operational data of Company J and compare the optimal delivery schemes of EVRPTW-DC and EVRPTW under the traditional linear electric energy consumption law. The results show that our nonlinear energy consumption model, which provides a better simulation of energy consumption, can lead to a more realistic delivery plan. Finally, we explore the applicability of the proposed EVPRTW-DC and discuss the conditions of using a linear electric energy consumption coefficient.

24 January 2023 in Engineering Structures
Verified
Journal Article
Closed access
YFYu Feng
Yu Feng
QSQuanke Su
Quanke Su
JHJianming Hao
Jianming Hao
WHWanshui Han
Wanshui Han
HWHaifeng Wang
Haifeng Wang

24 June 2022 in Journal of Wind Engineering and Industrial Aerodynamics
Verified
Journal Article
Closed access
YFYu Feng
Yu Feng
JHJianming Hao
Jianming Hao
WHWanshui Han
Wanshui Han
QSQuanke Su
Quanke Su
TWTeng Wu
Teng Wu

22 August 2021 in Applied Sciences
Verified
Journal Article
Open access
PDF file
FWFeng Wang
Feng Wang
XCXinmin Chen
Xinmin Chen
RHRui He
Rui He
YLYan Liu
Yan Liu
JHJianming Hao
Jianming Hao
JLJiawu Li
Jiawu Li
The wind characteristics of the mountainous environment in Western China are extremely complex. Many advances have occurred in the study of wind characteristics in plains or hilly areas. However, some limitations remain in the study of mountain passes and riverbanks. We selected a mountain pass and river beach in a certain area as the research objects, then set up observation instruments at different locations to establish temporary observation stations to collect more than one year of measured data. By processing the measurement data during the observation period, the mean wind characteristics and fluctuating wind characteristics of the area were obtained. Through comparison with the standard, we found strong nonstationary characteristics of the wind, such as large deviations between the wind field characteristics values in the standard and measured values, proving the need for wind field observations of mountain passes and riverbanks.