Simultaneous effect of temperature, shrinkage, and self-weight creep on RC beams: A case study

Aval, Seyed Bahram Beheshti; Ghabdian, Mohsen; Noori, Mohammad; Altabey, Wael A.

doi:10.1177/14644207211067440

Cited by 9 publications

(4 citation statements)

References 32 publications

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“…Several researchers in the fields of pavement crack identification algorithm and system integration research and development domain have also carried out exploratory research, by continuously improving the algorithm and system tests such as wavelet transform, block processing, and other methods to solve the problem of obtaining crack data [37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56] Wang et al [57] proposed an image segmentation method based on shape features, Martin et al [58] consider the crack region combined with boundary information to detect crack edges, this class is based on edge features. The crack identification algorithm is very important for the detection of pavement cracks.…”

Section: Introductionmentioning

confidence: 99%

Research of pavement crack detection system based on image processing

Xu¹,

Zhang²,

Gongzuo³

et al. 2023

Third International Conference on Computer Vision and Information Technology (CVIT 2022)

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With the continuous development of the social economy, road traffic plays an increasingly significant role in the national economy and people's lives. Traffic has become one of the important infrastructures for people's daily travel and economic construction in my country, and it is the key to reflecting the economic development of a region. During the long-term operation of expressways, various types of diseases will occur. In order to solve the problem that traditional pavement crack detection, a pavement crack detection method based on image processing under complex background is proposed. A pavement crack image segmentation model based on semantic segmentation is built, and cracks in highresolution crack images are extracted by using the pavement image segmentation model. The results show that, compared with the existing algorithms, the pro-posed algorithm has a better detection effect and stronger generalization ability in complex road scenes.

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Section: Introductionmentioning

confidence: 99%

Research of pavement crack detection system based on image processing

Xu¹,

Zhang²,

Gongzuo³

et al. 2023

Third International Conference on Computer Vision and Information Technology (CVIT 2022)

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“…Evaluation of stress and strain in an arbitrary location in soil, due to the action of external loads, has been a classical topic. [7][8][9][10][11][12][13][14][15] Traditional foundation models can be divided into two types, considering the soil as a soil-spring model, and considering soil as a continuous medium.…”

Section: Introductionmentioning

confidence: 99%

Dynamic response analysis of Euler–Bernoulli beam on spatially random transversely isotropic viscoelastic soil

Feng

Noori

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part L:

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A novel dynamic soil-structure interaction model is developed for analysis for Euler–Bernoulli beam rests on a spatially random transversely isotropic viscoelastic foundation subjected to moving and oscillating loads. The dynamic equilibrium equation of beam-soil system is established using the extended Hamilton's principle, and the corresponding partial differential equations describing the displacement of beam and soil and boundary conditions are further obtained by the variational principles. These partial differential equations are discretized in spatial and time domains and solved by the finite difference (FD) method. After the differential equations of beam and soil are discretized in the spatial domain, the implicit iterative scheme is used to solve the equations in the time domain. The solving result shows the FD method is effective and convenient for solving the differential equations of beam-soil system. The spring foundation model adopted the modified Vlasov model, which is a two-parameter model considering the compression and shear of soil. The advantage of the present foundation model is avoided estimating input parameters of the modified Vlasov model using prior knowledge. The present solution is verified by publishing solution and equivalent three-dimensional FE analysis. The present model produced an accurate, faster, and effective displacement response. A few examples are carried out to analyze the parameter variation influence for beam on spatially random transversely isotropic viscoelastic soil under moving loads.

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“…Creep, shrinkage, and temperature are the main sources of long-term deflections in structures. [1][2][3] In order to realistically predict the behavior of beams like reinforced concrete (RC) beams in all cases (static, dynamic, or free vibration analysis), some complicated nonlinear formulations or a sophisticated computational model are required. [4][5][6] Unlike steel structures, in RC members, the consequences of excessive long-time deflection on structural safety are substantial.…”

Section: Introductionmentioning

confidence: 99%

Reliability of reinforced concrete beams in serviceability limit state via microprestress-solidification theory, a structural health monitoring strategy

Ghabdian

Aval

Noori

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part L:

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An important and critical area within the broad domain of structural health monitoring, as related to reinforced civil and mechanical structures, is the assessment of creep, shrinkage, and high-temperature effects on reliability and serviceability. Unfortunately, the monitoring and impact of these inherent mechanical characteristics and behaviors, and subsequent impact on serviceability, have rarely been considered in the literature in structural health monitoring. In this paper, the microprestress-solidification creep theory for beams is generalized for the simultaneous effect of linear/nonlinear creep, shrinkage, and high temperature in a reliability framework. This study conducts a systematic time-dependent procedure for the reliability analysis of structures using a powerful nanoscale method. It must be noted that this paper aims to extend the previously developed microprestress-solidification method in a health monitoring reliability-based framework with a close look at a nonlinear creep, parameters affecting creep, and long-time high temperature. A finite element approach is proposed where creep, shrinkage, temperature, and cracking are considered using strain splitting theory. First, the model performance was evaluated by comparing the results with the experimental test available in the literature in the case of creep and shrinkage. Then, the simultaneous effect of creep, shrinkage, and temperature was compared with experimental results obtained by the authors. Reliability analysis was applied to reinforced concrete beams subjected to sustained gravity loading and uniform temperature history in order to calculate exceedance probability in the serviceability limit state. It was found that the exceedance probability of reinforced concrete beams was dependent on the shear span-to-depth ratio. In the serviceability limit state, exceedance probabilities of 0.012 and 0.157 were calculated for the span-to-depth ratios of 1 and 5, respectively. In addition, it was shown that temperature plays an important role in the reliability of reinforced concrete beams. A 4.27-fold increase was observed in the case of moderate to high temperature. Finally, for three different load levels of 40%, 70%, and 80%, the exceedance probabilities were 0.156, 0.328, and 0.527, respectively, suggesting that load level is another key parameter affecting the reliability of reinforced concrete beams. It is thus concluded these fundamental phenomenological studies should be further considered as part of the broad field of structural health monitoring.

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Simultaneous effect of temperature, shrinkage, and self-weight creep on RC beams: A case study

Cited by 9 publications

References 32 publications

Research of pavement crack detection system based on image processing

Research of pavement crack detection system based on image processing

Dynamic response analysis of Euler–Bernoulli beam on spatially random transversely isotropic viscoelastic soil

Reliability of reinforced concrete beams in serviceability limit state via microprestress-solidification theory, a structural health monitoring strategy

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