Chun Sha^1,*, Chaohui Yue², Wenchen Wang³

Structural Durability & Health Monitoring, Vol.17, No.5, pp. 369-381, 2023, DOI:10.32604/sdhm.2023.027948

Abstract Convolution neural networks in deep learning can solve the problem of damage identification based on vibration acceleration. By combining multiple 1D DenseNet submodels, a new ensemble learning method is proposed to improve identification accuracy. 1D DenseNet is built using standard 1D CNN and DenseNet basic blocks, and the acceleration data obtained from multiple sampling points is brought into the 1D DenseNet training to generate submodels after offset sampling. When using submodels for damage identification, the voting method ideas in ensemble learning are used to vote on the results of each submodel, and then vote centrally. Finally, the cantilever damage problem… More >

Lucio Nobile^*

Structural Durability & Health Monitoring, Vol.17, No.5, pp. 353-368, 2023, DOI:10.32604/sdhm.2023.028247

Abstract The frequent occurrence of seismic events in Italy poses a strategic problem that involves either the culture of preservation of historical heritage or the civil protection action aimed to reduce the risk to people and goods (buildings, bridges, dams, slopes, etc.). Most of the Italian architectural heritage is vulnerable to earthquakes, identifying the vulnerability as the inherent predisposition of the masonry building to suffer damage and collapse during an earthquake. In fact, the structural concept prevailing in these ancient masonry buildings is aimed at ensuring prevalent resistance to vertical gravity loads. Rarely do these ancient masonry structures offer relevant resistance… 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 >

Nizar Faisal Alkayem¹, Maosen Cao^2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09367

Abstract Structural damage identification is a key engineering technique that attempts to ensure structural reliability. In this regard, one of the major intelligent approaches is the inverse analysis of structural damage using metaheuristics. By considering the recent achievements, an efficient hybrid objective function that combines the modal kinetic energy and modal strain energy is developed. The objective function aims to extract maximum modal information from the structure and overcome noisy conditions. Moreover, the original methods are usually vulnerable to the associated high multimodality and uncertainty of the inverse problem. Therefore, the particle swarm algorithm (PSO) mechanism is combined with another newly… More >

Zhengmao Yang^1,*, Junjie Yang², Yang Chen³, Fulei Jing⁴

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09229

Abstract Woven ceramic matrix composites (CMCs), exhibiting excellent thermomechanical properties at high temperatures, are promising as alternative materials to the conventional nickel-based superalloys in the hot section components of aero-engines. Therefore, understanding and predicting the lifetime of CMCs is critical. Fatigue prediction of woven CMCs currently involves long-term and costly testing. A feasible alternative is to use predictive modelling based on a deep understanding of the damage mechanisms. Therefore, this study develops a multiscale analysis modelling method for predicting the fatigue life of CMC materials at high temperature by investigating the thermomechanical fatigue damage evolution. To represent the global thermomechanical properties… More >

Zhiyang Yao¹, Shuling Wang¹, Yin Yu¹, Yile Hu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09298

Abstract This study presents a method for modeling and analyzing the microstructure of short-fiber composites by using state-based PeriDynamic (PD). The micro-structure of short-fiber composites is obtained from MicroCT scanning which provides non-uniformly discretized meshes of short-fiber’s surface profile. In order to obtain the uniformly discretized PD model, a new layering algorithm is proposed to reconstruct the shortfiber microstructure. Furthermore, considering the anisotropy of short-fiber, a clustering algorithm based on machine learning is introduced to identify fibers and calculate their orientations. The PD interaction domain of a material point on the boundary is incomplete, it can be complemented by searching material… 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.26, 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 >

Taotao Yuan¹, Haitian Yang¹, Yiqian He^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09275

Abstract Computational modeling can provide insight into understanding the damage mechanisms of soft biological tissues, and identification of constitutive parameters is key issues in the computational modeling. On the other hand, although it is thought that computational model should be non-local for soft tissues based on the existence of intrinsic length scales, there is very few work for the identification of the parameters of nonlocal damage models of soft tissues. Firstly, we use the gradient-enhanced damage model presented in our previous publication showing advantages in considering the internal length scales and in satisfying mesh independence for simulating damage [1]. Secondly, the… More >

Xiaoliang Deng^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.010001

Abstract Polymer bonded explosives (PBXs) are one of typical heterogeneous materials comprised of solid energetic particles surrounded by a polymer binder. PBXs are widely encountered in various applications such as rocket propellants and main explosive charges. PBXs can ignite or detonate due to an accidental impact loading, which usually leads to serious losses to personnel and property. Therefore, safety of PBXs regarding to various loading conditions is of great concern.
The ignition of PBXs due to impact is a mechanical-thermal-chemical coupled phenomenon. The evolutions of micro-cracks and other damage behaviors are essential to help understanding of ignition phenomena induced by… More >

Shuiting Ding¹, Liangliang Zuo², Guo Li^2,*, Zhenlei Li³, Shuyang Xia², Shaochen Bao³

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.1, pp. 1-1, 2023, DOI: 10.32604/icces.2023.09911

Abstract This paper presents the assessment of fatigue damage for GH4169 under cyclic loading based on thermodynamic entropy generation at elevated temperature. According to the second law of thermodynamics, fatigue crack propagation is an irreversible thermodynamic dissipative process in which damage accumulates and entropy generates with each cycle until fracture occurs. In this work, crack growth process is simulated by commercial finite element software ABAQUS, and the concept of cyclic entropy generation rate (CEGR) is proposed to present the entropy generation of the crack tip region in a single loading cycle, where the calculation of CEGR is dependent on the evolution… More >