Evaluation of Concrete Durability Based on Cloud Model and D-S Evidence Theory

Yang, Shenglai; Huang, Jian; Qin, Yawei; Wu, Xianguo

doi:10.1088/1742-6596/2148/1/012054

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…Owing to the large inertia when the accident occurred, the loss of necessary protection caused a serious secondary injury. Night and fatigued driving are derived from human cognitive defects, which are often caused by the social environment, weak security awareness, and insufficient management of relevant departments [29][30][31][32].…”

Section: Case Studiesmentioning

confidence: 99%

Unsafe Behavior Analysis and Risk Measurement of Traffic Accidents in Mountainous Highway Tunnel

Zhou

Huang

Zhou

2022

Mathematical Problems in Engineering

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Traffic accidents in mountainous highway tunnels have resulted in significant negative effects and losses. Among the potential hazards that can lead to fatal injuries, human-related hazards have been recognized as the leading cause. Determining the risk management effectively and prioritizing unsafe human behavior are the basis for preventing and controlling traffic accidents in mountainous highway tunnels. Therefore, hazards that could potentially cause highway tunnel traffic accidents were identified by using a tail-biting fish diagram combined with the fault tree method. A risk assessment model was constructed based on probability, degree of importance, and loss. Furthermore, the probability can be calculated by assessing the degree of unreliability, which can be obtained by assessing the degree of importance of unsafe behavior in the fault tree, and the loss can be acquired from the authority. The case of 8–10 traffic accidents that occurred in the Qinling No. 1 Tunnel of the Ankang section of the Beijing-Kunming expressway was studied, and the values of the unsafe behaviors were assessed. According to the risk values, the priority for controlling unsafe behaviors can be acquired and tailored measures can be taken to prevent and control the risks, which provides a theoretical basis and new method for the effective control of mountainous highway tunnel traffic accidents.

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Section: Case Studiesmentioning

confidence: 99%

Unsafe Behavior Analysis and Risk Measurement of Traffic Accidents in Mountainous Highway Tunnel

Zhou

Huang

Zhou

2022

Mathematical Problems in Engineering

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“…In addition, another feature of decision-level fusion is that the fusion information has a relatively small amount of calculation. So it can be flexibly used in multi-sensor classification problems with its strong capacity for heterogeneous sensors, such as fault diagnosis [ 3 ], target recognition [ 4 , 5 ], environment grade evaluation [ 6 ], etc.…”

Section: Introductionmentioning

confidence: 99%

A New Evidence Weight Combination and Probability Allocation Method in Multi-Sensor Data Fusion

Yao

Dai

et al. 2023

Sensors

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A single sensor is prone to decline recognition accuracy in the face of a complex environment, while the existing multi-sensor evidence theory fusion methods do not comprehensively consider the impact of evidence conflict and fuzziness. In this paper, a new evidence weight combination and probability allocation method is proposed, which calculated the degree of evidence fuzziness through the maximum entropy principle, and also considered the impact of evidence conflict on fusing results. The two impact factors were combined to calculate the trusted discount and reallocate the probability function. Finally, Dempster’s combination rule was used to fuse every piece of evidence. On this basis, experiments were first conducted to prove that the existing weight combination methods produce results contrary to common sense when handling high-conflicting and high-clarity evidence, and then comparative experiments were conducted to prove the effectiveness of the proposed evidence weight combination and probability allocation method. Moreover, it was verified, on the PAMAP2 data set, that the proposed method can obtain higher fusing accuracy and more reliable fusing results in all kinds of behavior recognition. Compared with the traditional methods and the existing improved methods, the weight allocation method proposed in this paper dynamically adjusts the weight of fuzziness and conflict in the fusing process and improves the fusing accuracy by about 3.3% and 1.7% respectively which solved the limitations of the existing weight combination methods.

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Evaluation of Concrete Durability Based on Cloud Model and D-S Evidence Theory

Cited by 2 publications

References 12 publications

Unsafe Behavior Analysis and Risk Measurement of Traffic Accidents in Mountainous Highway Tunnel

Unsafe Behavior Analysis and Risk Measurement of Traffic Accidents in Mountainous Highway Tunnel

A New Evidence Weight Combination and Probability Allocation Method in Multi-Sensor Data Fusion

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