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Structural damage identification via time domain response and Markov Chain Monte Carlo method

Research article (Inverse Problems in Science and Engineering, 2016) · cited 11× · AI/ML
academia openalex:W2478840442
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Structural damage identification via time domain response and Markov Chain Monte Carlo method

Summary

Structural damage identification via time domain response and Markov Chain Monte Carlo method is a scholarly article[1].

Key Facts

  • Structural damage identification via time domain response and Markov Chain Monte Carlo method's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Structural damage identification via time domain response and Markov Chain Monte Carlo method. Retrieved May 24, 2026, from https://4ort.xyz/entity/structural-damage-identification-via-time-domain-response-and-markov-chain-monte-carlo-method
MLA “Structural damage identification via time domain response and Markov Chain Monte Carlo method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/structural-damage-identification-via-time-domain-response-and-markov-chain-monte-carlo-method.
BibTeX @misc{4ortxyz_structural-damage-identification-via-time-domain-response-and-markov-chain-monte-carlo-method_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Structural damage identification via time domain response and Markov Chain Monte Carlo method}}, year = {2026}, url = {https://4ort.xyz/entity/structural-damage-identification-via-time-domain-response-and-markov-chain-monte-carlo-method}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Structural damage identification via time domain response and Markov Chain Monte Carlo method — https://4ort.xyz/entity/structural-damage-identification-via-time-domain-response-and-markov-chain-monte-carlo-method (retrieved 2026-05-24)

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