Sensing methods in civil engineering for an efficient construction management

Große, Christian U.; Gehlen, Christoph; Glaser, Steven D.

doi:10.1007/978-3-540-72448-3_56

Cited by 10 publications

(9 citation statements)

References 3 publications

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“…For a more realistic lifetime analysis, it is also necessary to consider crack closure effects [34] (passive damage) resulting from variable amplitude loading. Accordingly, in the FDM, the computation of the tension and compression stiffness degradation factors is to be coupled.…”

Section: Fe-based Damage Modelingmentioning

confidence: 99%

Evaluation and Modeling of the Fatigue Damage Behavior of Polymer Composites at Reversed Cyclic Loading

et al. 2019

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Understanding the composite damage formation process and its impact on mechanical properties is a key step towards further improvement of material and higher use. For its accelerated application, furthermore, practice-related modeling strategies are to be established. In this collaborative study, the damage behavior of carbon fiber-reinforced composites under cyclic loading with load reversals is analyzed experimentally and numerically. The differences of crack density evolution during constant amplitude and tension-compression block-loading is characterized with the help of fatigue tests on cross-ply laminates. For clarifying the evolving stress-strain behavior of the matrix during static and fatigue long-term loading, creep, and fatigue experiments with subsequent fracture tests on neat resin samples are applied. The local stress redistribution in the composite material is later evaluated numerically using composite representative volume element (RVE) and matrix models under consideration of viscoelasticity. The experimental and numerical work reveals the strong influence of residual stresses and the range of cyclic tension stresses to the damage behavior. On the microscopic level, stress redistribution dependent on the mean stress takes place and a tendency of the matrix towards embrittlement was found. Therefore, it is mandatory to consider stress amplitude and means stress as inseparable load characteristic for fatigue assessment, which additionally is influenced by production-related and time-dependent residual stresses. The phenomenological findings are incorporated to a numerical simulation framework on the layer level to provide an improved engineering tool for designing composite structures.

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Section: Fe-based Damage Modelingmentioning

confidence: 99%

Evaluation and Modeling of the Fatigue Damage Behavior of Polymer Composites at Reversed Cyclic Loading

et al. 2019

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“…An early detection of these changes plays a crucial role to carry out prompt maintenance actions [ 3 ]. For this reason, structures are monitored over time by adopting sensors to measure physical quantities that are related to the structural properties [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

A Damage Detection Approach for Axially Loaded Beam-like Structures Based on Gaussian Mixture Model

Lucà

Manzoni

Cerutti

et al. 2022

Sensors

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Axially loaded beam-like structures represent a challenging case study for unsupervised learning vibration-based damage detection. Under real environmental and operational conditions, changes in axial load cause changes in the characteristics of the dynamic response that are significantly greater than those due to damage at an early stage. In previous works, the authors proposed the adoption of a multivariate damage feature composed of eigenfrequencies of multiple vibration modes. Successful results were obtained by framing the problem of damage detection as that of unsupervised outlier detection, adopting the well-known Mahalanobis squared distance (MSD) to define an effective damage index. Starting from these promising results, a novel approach based on unsupervised learning data clustering is proposed in this work, which increases the sensitivity to damage and significantly reduces the uncertainty associated with the results, allowing for earlier damage detection. The novel approach, which is based on Gaussian mixture model, is compared with the benchmark one based on the MSD, under the effects of an uncontrolled environment and, most importantly, in the presence of real damage due to corrosion.

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“…In quantitative AE analysis methods, all characteristics of an AE source are analyzed and, therefore, the wave propagation between the source and sensors needs to be considered. Further progress depends on how wave propagation is modeled in cracking and cracked concrete, and how other elements of structural concrete, such as reinforcement, post-tensioning tendons, or inserts are taken into account [2]. To track the tension changes and/or the crack generation, the acoustic emission method is used.…”

Section: Introductionmentioning

confidence: 99%

“…Duration is the delay between the first and last threshold crossings and the energy is directly proportional to the area under the acoustic emission waveform [4]: The modern cementitious materials, such as high-performance concrete (HPC), show advantageous properties compared to conventional concretes, for example, good workability of the fresh concrete and high strength after hardening. Due to low w/c ratios, HPC is generally characterized by low porosity and a finer capillary pore structure [2,5]. On the other hand, due to the restricted moisture transport, a curing by externally-supplied water is not very effective.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, the evaluation of microcrack formation and their dependence on the size and volume fraction of aggregate is not yet fully understood [20,29]. The measurement of shrinkage and thermal dilation, as well as the resulting stress in the case of restraint, may be performed with so-called temperature-stress testing machines [2]. These tests provide information about potential cracking and failure of the concrete specimen.…”

Section: Introductionmentioning

confidence: 99%

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Using Acoustic Emission Methods to Monitor Cement Composites during Setting and Hardening

et al. 2017

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Cement-based composites belong among the basic building materials used in civil engineering. Their properties are given not only by their composition but also by their behaviour after mixing, as well as by the methods of curing. Monitoring the processes and phenomena during the early stages of setting is vital for determining the resulting properties and durability. The acoustic emission method is a unique non-destructive method that can detect structural changes as a cement-based composite is setting. It can also detect the onset and growth of cracks during the service life of a cement-based composite since the moment it has been mixed. The paper discusses the use of the acoustic emission method with a focus on the early stage of the lifespan of a cement-based composite including the measures necessary for its use and description of the parameters of acoustic emission signals.

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Sensing methods in civil engineering for an efficient construction management

Cited by 10 publications

References 3 publications

Evaluation and Modeling of the Fatigue Damage Behavior of Polymer Composites at Reversed Cyclic Loading

Evaluation and Modeling of the Fatigue Damage Behavior of Polymer Composites at Reversed Cyclic Loading

A Damage Detection Approach for Axially Loaded Beam-like Structures Based on Gaussian Mixture Model

Using Acoustic Emission Methods to Monitor Cement Composites during Setting and Hardening

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