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A Bayesian network framework for statistical characterisation of model parameters from accelerated tests: application to chloride ingress into concrete
Research article (Structure and Infrastructure Engineering, 2017) · cited 19× · AI/ML
A Bayesian network framework for statistical characterisation of model parameters from accelerated tests: application to chloride ingress into concrete
Summary
A Bayesian network framework for statistical characterisation of model parameters from accelerated tests: application to chloride ingress into concrete is a scholarly article[1].
Key Facts
A Bayesian network framework for statistical characterisation of model parameters from accelerated tests: application to chloride ingress into concrete's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A Bayesian network framework for statistical characterisation of model parameters from accelerated tests: application to chloride ingress into concrete. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-bayesian-network-framework-for-statistical-characterisation-of-model-parameters-from-accelerated-tests-application-to-
MLA“A Bayesian network framework for statistical characterisation of model parameters from accelerated tests: application to chloride ingress into concrete.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-bayesian-network-framework-for-statistical-characterisation-of-model-parameters-from-accelerated-tests-application-to-.
BibTeX@misc{4ortxyz_a-bayesian-network-framework-for-statistical-characterisation-of-model-parameters-from-accelerated-tests-application-to-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Bayesian network framework for statistical characterisation of model parameters from accelerated tests: application to chloride ingress into concrete}}, year = {2026}, url = {https://4ort.xyz/entity/a-bayesian-network-framework-for-statistical-characterisation-of-model-parameters-from-accelerated-tests-application-to-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Bayesian network framework for statistical characterisation of model parameters from accelerated tests: application to chloride ingress into concrete — https://4ort.xyz/entity/a-bayesian-network-framework-for-statistical-characterisation-of-model-parameters-from-accelerated-tests-application-to- (retrieved 2026-05-24)
