Fabrizio Greco^*, Paolo Lonetti, Arturo Pascuzzo, Giulia Sansone

Structural Durability & Health Monitoring, Vol.17, No.6, pp. 457-483, 2023, DOI:10.32604/sdhm.2023.030075

Abstract This work proposes a numerical investigation on the effects of damage on the structural response of Reinforced Concrete (RC) bridge structures commonly adopted in highway and railway networks. An effective three-dimensional FE-based numerical model is developed to analyze the bridge’s structural response under several damage scenarios, including the effects of moving vehicle loads. In particular, the longitudinal and transversal beams are modeled through solid finite elements, while horizontal slabs are made of shell elements. Damage phenomena are also incorporated in the numerical model according to a smeared approach consistent with Continuum Damage Mechanics (CDM). In such a context, the proposed… More >

Zhuyou Hu¹, Ping Lin^2,3, He Guo^2,3, Yumei Zhang^2,3, Zhihai Xiang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.1, pp. 1-2, 2023, DOI:10.32604/icces.2023.09475

Abstract In recent years, the vehicle scanning method for bridge inspection has drawn much attention by researchers because of its simple operation and high efficiency [1]. Besides the natural frequency, modal modes and other information of bridges, damage can also be detected in this way [2]. For example, we proposed the passive tap-scan damage detection method [3], which scans the bridge with the tapping force generated by a toothed wheel, mimicking the hunting behavior of woodpeckers. In this talk, we will discuss two critical aspects related to the mechanism of this method. One is the quantitative relationship between the vehicle acceleration… More >

Nengguang Liu, Wei Gao, Chongmin Song, Nong Zhang

The International Conference on Computational & Experimental Engineering and Sciences, Vol.20, No.3, pp. 83-84, 2011, DOI:10.3970/icces.2011.020.083

Abstract This paper presents the probabilistic dynamic analysis of vehicle-bridge interaction systems. The bridge's and vehicle's parameters are considered as random variables as well as the road surface roughness is modeled as random process. A quarter-car model is used to represent a moving vehicle and the bridge is treated as an Euler-Bernoulli beam. From the equation of motion for the vehicle-bridge coupling system, the expressions for mean value and standard deviation of bridge response are developed by using the random variable's functional moment method. The effects of the individual system parameters and the road surface roughness on the bridge response are… More >

Zhihai Xiang, Xiaowei Dai, Yao Zhang, Longqi Wang, Qiuhai Lu

The International Conference on Computational & Experimental Engineering and Sciences, Vol.16, No.4, pp. 123-124, 2011, DOI:10.3970/icces.2011.016.123

Abstract In this talk, we are going to introduce a new method that can detect the damage in bridge structures through the acceleration of a passing vehicle mounted with a tapping device. This method was inspired by the hunting behavior of woodpeckers and the idea of obtaining natural frequencies of bridge structures through the dynamic response of a passing vehicle [1].

Based on a simple vehicle-bridge interaction model, we analytically found out that the vehicle acceleration contains the damage information, which can be represented by the instantaneous stiffness Z as follows: (1)
where yB is the deflection of bridge,… More >

N. Liu,¹,W. Gao ¹, C.M. Song¹, N. Zhang²

CMES-Computer Modeling in Engineering & Sciences, Vol.72, No.2, pp. 79-102, 2011, DOI:10.3970/cmes.2011.072.079

Abstract This paper presents the probabilistic dynamic analysis of vehicle-bridge interaction systems. The bridge's and vehicle's parameters are considered as random variables as well as the road surface roughness is modeled as random process. A two-degree-of-freedom spring-mass system is used to represent a moving vehicle and the bridge is modeled as an Euler-Bernoulli beam. From the equation of motion for the vehicle-bridge coupling system, the expressions for mean value and standard deviation of bridge response are developed by using the random variable's functional moment method. The effects of the individual system parameters and the road surface roughness on the bridge response… More >