In volume 1, pages 1000 - 1006, Stanford, CA, United states, 2017. Coefficient of determination;Concrete masonry units;Controlled conditions;Probabilistic methods;Probability of detection;Resonance frequencies;Statistical parameters;Strength Estimation;

Paper abstract bibtex

Paper abstract bibtex

Nondestructive tests (NDT) are often used to estimate the strength of concrete specimens from empirical models. These models are derived using data from specimens in laboratory controlled conditions or using core samples extracted from structures in service. The performance of the models is evaluated using statistical parameters such as the coefficient of determination and the prediction intervals for a given significance level. Properly fitted model are unbiased and account for both the epistemic and aleatory uncertainties. In this article, probabilistic methods are employed to assess the uncertainties in the strength estimation of concrete specimens using measurements from resonant frequency tests. Probabilistic methods are also used to adjust quality control procedures for the production of concrete masonry units (CMU) when NDT are used to complement data from destructive tests. The adjustments are implemented by increasing the number of samples tested to match results from destructive tests in terms of the probability of detection of a lot not conforming to design specifications and the probability of falsely rejecting a lot meeting design specifications.

@inproceedings{20174404343478 , language = {English}, copyright = {Compilation and indexing terms, Copyright 2023 Elsevier Inc.}, copyright = {Compendex}, title = {Reliability of resonant frequency test for strength estimation of concrete using probabilistic methods}, journal = {Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017}, author = {Sajid, Sikandar and Chouinard, Luc}, volume = {1}, year = {2017}, pages = {1000 - 1006}, address = {Stanford, CA, United states}, abstract = {Nondestructive tests (NDT) are often used to estimate the strength of concrete specimens from empirical models. These models are derived using data from specimens in laboratory controlled conditions or using core samples extracted from structures in service. The performance of the models is evaluated using statistical parameters such as the coefficient of determination and the prediction intervals for a given significance level. Properly fitted model are unbiased and account for both the epistemic and aleatory uncertainties. In this article, probabilistic methods are employed to assess the uncertainties in the strength estimation of concrete specimens using measurements from resonant frequency tests. Probabilistic methods are also used to adjust quality control procedures for the production of concrete masonry units (CMU) when NDT are used to complement data from destructive tests. The adjustments are implemented by increasing the number of samples tested to match results from destructive tests in terms of the probability of detection of a lot not conforming to design specifications and the probability of falsely rejecting a lot meeting design specifications.<br/>}, key = {Natural frequencies}, keywords = {Nondestructive examination;Concretes;Frequency estimation;Specifications;Uncertainty analysis;Quality control;}, note = {Coefficient of determination;Concrete masonry units;Controlled conditions;Probabilistic methods;Probability of detection;Resonance frequencies;Statistical parameters;Strength Estimation;}, URL = {http://dx.doi.org/10.12783/shm2017/13962}, }

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