scholarly journals DEVELOPMENT OF STRUCTURAL TEST AND EVALUATION METHODS FOR VERIFICATION OF WIND-RESISTANT PERFORMANCE OF STEEL WALL SYSTEM

2012 ◽  
Vol 18 (39) ◽  
pp. 431-436
Author(s):  
Hitomitsu KIKITSU ◽  
Akihito YOSHIDA ◽  
Yutaka MAEDA ◽  
Hiroaki NISHIMURA ◽  
Hisashi OKADA
2014 ◽  
Vol 602-605 ◽  
pp. 795-798 ◽  
Author(s):  
Xuan Jiong Xu ◽  
Xue Xun Guo

Through research of vehicle dynamic feature, analysis and research of the problem of driving wandering by user retroactions, the article put forward some test and evaluation methods of driving wandering. And the article is discussed about main reasons and solutions of driving wandering in-depth.


2017 ◽  
Vol 865 ◽  
pp. 383-389 ◽  
Author(s):  
Min Jung Bae ◽  
Yu Min Kim ◽  
Gyeong Seok Choi ◽  
Jae Sik Kang ◽  
Hyun Jung Choi

With the window rating system being enforced, window companies are required to assign window ratings to their products. As the window ratings is based on the experimental results of fenestration, they are required to spend a lot of time and money conducting laboratory tests in order to assign window ratings to all their products. Through the window performance evaluation system using simulation, the thermal transmittance of products calculated based on numerical simulation can be used in place of experimental results to obtain the window rating. To ensure the credibility of simulation results, it is necessary to use the correct evaluation methods and primary information derived from in use practice should be available for the numerical simulation. The purpose of this paper is to investigate the evaluation methods that the simulator actually uses for the thermal performance of fenestration in WINDOW/THERM. The evaluation methods used by twenty-one simulators were investigated using primary evaluation methods for numerical simulation as the criteria. This study found that most of the simulation results were not trustworthy even though they were similar to experimental results because the evaluation methods used by simulators are incorrect. Furthermore, to enhance the credibility of simulation results, the simulator should be provided with the detailed information used in practice related to the evaluation performance of numerical simulation.


2021 ◽  
Vol 2108 (1) ◽  
pp. 012007
Author(s):  
Tong Zhu ◽  
Guotian Ji ◽  
Guokai Jiang ◽  
Yifu Ding ◽  
Jiaxu Feng ◽  
...  

Abstract With the development of Connected Vehicle, various of on-board applications and functions rely on stable, reliable and fast-response wireless connections furtherly, making it more urgent and widespread for vehicles to be equipped with relevant antenna systems such as positioning and communication. There are many types of vehicle antenna systems, together with a wide range of installation locations and a complex electronic environment which brings a huge challenges to the development of antenna manufacturers and the matching of automobile OEMs. In order to carry out the R&D, matching and testing of the vehicle antenna system better, various parties have proposed a multi-dimensional test and evaluation methods, but there is still a lack of horizontal evaluation between them. This paper analyses the requirements of automotive antenna system evaluation, sorts out and compares the technical paths of various common solutions, summarizes the characteristics and differences of various solutions, and provides a research foundation for further optimizing the vehicle-level antenna system test and evaluation program.


Author(s):  
P. G. Bishop ◽  
D. G. Esp ◽  
F. D. Pullen ◽  
M. Barnes ◽  
P. Humphreys ◽  
...  

Information ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 403
Author(s):  
Frederik Naujoks ◽  
Sebastian Hergeth ◽  
Andreas Keinath ◽  
Nadja Schömig ◽  
Katharina Wiedemann

Today, OEMs and suppliers can rely on commonly agreed and standardized test and evaluation methods for in-vehicle human–machine interfaces (HMIs). These have traditionally focused on the context of manually driven vehicles and put the evaluation of minimizing distraction effects and enhancing usability at their core (e.g., AAM guidelines or NHTSA visual-manual distraction guidelines). However, advances in automated driving systems (ADS) have already begun to change the driver’s role from actively driving the vehicle to monitoring the driving situation and being ready to intervene in partially automated driving (SAE L2). Higher levels of vehicle automation will likely only require the driver to act as a fallback ready user in case of system limits and malfunctions (SAE L3) or could even act without any fallback within their operational design domain (SAE L4). During the same trip, different levels of automation might be available to the driver (e.g., L2 in urban environments, L3 on highways). These developments require new test and evaluation methods for ADS, as available test methods cannot be easily transferred and adapted. The shift towards higher levels of vehicle automation has also moved the discussion towards the interaction between automated and non-automated road users using exterior HMIs. This Special Issue includes theoretical papers a well as empirical studies that deal with these new challenges by proposing new and innovative test methods in the evaluation of ADS HMIs in different areas.


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