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Homero Castaneda ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Miran, Seyedeh Azadeh / Huang, Qindan / Castaneda, Homero (2016): Time-Dependent Reliability Analysis of Corroded Buried Pipelines Considering External Defects. In: Journal of Infrastructure Systems, v. 22, n. 3 (September 2016).

    https://doi.org/10.1061/(asce)is.1943-555x.0000307

  2. Wang, Xiangrong / Wang, Hui / Tang, Fujian / Castaneda, Homero / Liang, Robert (2021): Statistical analysis of spatial distribution of external corrosion defects in buried pipelines using a multivariate Poisson-lognormal model. In: Structure and Infrastructure Engineering, v. 17, n. 6 (August 2021).

    https://doi.org/10.1080/15732479.2020.1766516

  3. Wang, Hui / Yajima, Ayako / Liang, Robert Y. / Castaneda, Homero (2015): Bayesian Modeling of External Corrosion in Underground Pipelines Based on the Integration of Markov Chain Monte Carlo Techniques and Clustered Inspection Data. In: Computer-Aided Civil and Infrastructure Engineering, v. 30, n. 4 (February 2015).

    https://doi.org/10.1111/mice.12096

  4. Wang, Hui / Yajima, Ayako / Liang, Robert Y. / Castaneda, Homero (2015): A clustering approach for assessing external corrosion in a buried pipeline based on hidden Markov random field model. In: Structural Safety, v. 56 (September 2015).

    https://doi.org/10.1016/j.strusafe.2015.05.002

  5. Wang, Hui / Yajima, Ayako / Liang, Robert Y. / Castaneda, Homero (2015): A Bayesian model framework for calibrating ultrasonic in-line inspection data and estimating actual external corrosion depth in buried pipeline utilizing a clustering technique. In: Structural Safety, v. 54 (May 2015).

    https://doi.org/10.1016/j.strusafe.2015.01.003

  6. Wang, Hui / Yajima, Ayako / Liang, Robert Y. / Castaneda, Homero (2016): Reliability-based temporal and spatial maintenance strategy for integrity management of corroded underground pipelines. In: Structure and Infrastructure Engineering, v. 12, n. 10 (October 2016).

    https://doi.org/10.1080/15732479.2015.1113300

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